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1. Attosecond and nano-Coulomb electron bunches via the Zero Vector Potential mechanism

Author: R. J. L. Timmis, R. W. Paddock, I. Ouatu, J. Lee, S. Howard, E. Atonga, R. T. Ruskov, H. Martin, R. H. W. Wang, R. Aboushelbaya, M. W. von der Leyen, E. Gumbrell, and P. A. Norreys
Subjects: Medicine, Science
Abstract: Abstract The commissioning of multi-petawatt class laser facilities around the world is gathering pace. One of the primary motivations for these investments is the acceleration of high-quality, low-emittance electron bunches. Here we explore the interaction of a high-intensity femtosecond laser pulse with a mass-limited dense target to produce MeV attosecond electron bunches in transmission and confirm with three-dimensional simulation that such bunches have low emittance and nano-Coulomb charge. We then perform a large parameter scan from non-relativistic laser intensities to the laser-QED regime and from the critical plasma density to beyond solid density to demonstrate that the electron bunch energies and the laser pulse energy absorption into the plasma can be quantitatively described via the Zero Vector Potential mechanism. These results have wide-ranging implications for future particle accelerator science and associated technologies.
Published: 2024
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2. A practical evidence-based approach to management of type 2 diabetes in children and young people (CYP): UK consensus

Author: Billy White, S. M. Ng, J. C. Agwu, T. G. Barrett, N. Birchmore, M. Kershaw, J. Drew, F. Kavvoura, J. Law, C. Moudiotis, E. Procter, P. Paul, F. Regan, P. Reilly, P. Sachdev, R. Sakremath, C. Semple, K. Sharples, M. Skae, A. Timmis, E. Williams, N. Wright, and A. Soni
Subjects: Type 2 diabetes, Children and young people, Complications of excess weight, Metformin, Physical activity, Bariatric surgery, Medicine
Abstract: Abstract Background Type 2 diabetes in young people is an aggressive disease with a greater risk of complications leading to increased morbidity and mortality during the most productive years of life. Prevalence in the UK and globally is rising yet experience in managing this condition is limited. There are no consensus guidelines in the UK for the assessment and management of paediatric type 2 diabetes. Methods Multidisciplinary professionals from The Association of Children’s Diabetes Clinicians (ACDC) and the National Type 2 Diabetes Working Group reviewed the evidence base and made recommendations using the Grading Of Recommendations, Assessment, Development and Evaluation (GRADE) methodology. Results and discussion Young people with type 2 diabetes should be managed within a paediatric diabetes team with close working with adult diabetes specialists, primary care and other paediatric specialties. Diagnosis of diabetes type can be challenging with many overlapping features. Diabetes antibodies may be needed to aid diagnosis. Co-morbidities and complications are frequently present at diagnosis and should be managed holistically. Lifestyle change and metformin are the mainstay of early treatment, with some needing additional basal insulin. GLP1 agonists should be used as second-line agents once early ketosis and symptoms are controlled. Glycaemic control improves microvascular but not cardiovascular risk. Reduction in excess adiposity, smoking prevention, increased physical activity and reduction of hypertension and dyslipidaemia are essential to reduce major adverse cardiovascular events. Conclusions This evidence-based guideline aims to provide a practical approach in managing this condition in the UK.
Published: 2024
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3. What choices of visual correction do people make for recreational running?

Author: Keziah Latham, Georgia Dunn, Andrew Morrison, and Matthew A Timmis
Subjects: Medicine, Science
Abstract: PurposeRecreational runners who need refractive visual correction will need to choose the type of visual correction (spectacles, contact lenses, or no correction) to wear when running. The prevalence of correction choices and distinguishing demographic features associated with these choices of correction were investigated.MethodsA 26-item online questionnaire covering demographics, running habits, and visual corrections used was answered by 941 people. Participants were aged 18 years or older, considered themselves a recreational runner and reported needing refractive correction for everyday life. Bivariate analyses and binary logistic regression were used to determine the variables independently associated with including or avoiding types of correction for running.Results & conclusionsParticipants ran an average of 3.8times, 3.6hours, and 33.4km per week. Running habits were not associated with type of visual correction, suggesting that visual correction does not present a barrier to participating in recreational running. Solely using spectacles for running was the most common choice (38.8%) and they were worn for running at least sometimes by 65.8%. Fewer people wore spectacles for running than for general purposes (98.9%), suggesting spectacles have limitations for running. Spectacle wear for running was significantly associated with not having contact lenses available and longer duration of wearing visual correction. Running without correction was a common choice, with 15.5% of the sample only running without correction, and 26.2% running at least sometimes without their visual correction. Not wearing correction was significantly associated with not having contact lenses, a shorter duration of wearing visual correction, and a lower myopic refractive error. Contact lenses were the sole correction for running for 15.6% and were worn for running at least sometimes by 40.5%. Contact lenses were significantly more likely to be used by women and younger runners. Signposting runners to contact lenses if this has not previously been considered is recommended.
Published: 2024
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4. The effects of age and central field loss on maintaining balance control when stepping up to a new level under time-pressure

Author: Tjerk Zult, Matthew A. Timmis, and Shahina Pardhan
Subjects: Visual impairment, Age-related macular degeneration, Postural control, Mobility, Time pressure, Human locomotion, Medicine, Biology (General), QH301-705.5
Abstract: Objective To investigate the effects of age and central field loss on the landing mechanics and balance control when stepping up to a new level under time-pressure. Methods Eight older individuals with age-related macular degeneration (AMD), eight visually normal older and eight visually normal younger individuals negotiated a floor-based obstacle followed by a ‘step-up to a new level’ task. The task was performed under (1) no-pressure; (2) time-pressure: an intermittent tone was played that increased in frequency and participants had to complete the task before the tone ceased. Landing mechanics and balance control for the step-up task was assessed with a floor-mounted force plate on the step. Results Increased ground reaction forces and loading rates were observed under time-pressure for young and older visual normals but not for AMD participants. Across conditions, loading rates and ground reaction forces were higher in young normals compared to older normals and AMD participants. Young visual normals also demonstrated 35–39% shorter double support times prior to and during the step-up compared to older normals and AMD participants. All groups shortened their double support times (31–40%) and single support times (7–9%) in the time-pressure compared to no-pressure condition. Regarding balance control, the centre-of-pressure displacement and velocity in the anterior-poster direction were increased under time-pressure for young and older visual normals but not for AMD participants. The centre-of-pressure displacement and velocity in the medial-lateral direction were decreased for the AMD participants under time-pressure but not for young and older visual normals. Conclusions Despite walking faster, AMD participants did not adapt their landing mechanics under time-pressure (i.e., they remained more cautious), whilst older and young adults with normal vision demonstrated more forceful landing mechanics with the young being most forceful. A more controlled landing might be a safety strategy to maintain balance control during the step-up, especially in time-pressure conditions when balance control in the anterior-posterior direction is more challenged.
Published: 2023
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5. Barriers to patient enrolment in phase III cancer clinical trials: interviews with clinicians and pharmaceutical industry representatives

Author: Aniek Dane, P Hugo M van der Kuy, Soedaba Ashraf, James Timmis, Monique Bos, and Carin Uyl-de Groot
Subjects: Medicine
Published: 2022
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6. Online patient simulation training to improve clinical reasoning: a feasibility randomised controlled trial

Author: Ruth Plackett, Angelos P. Kassianos, Maria Kambouri, Natasha Kay, Sophie Mylan, Jenny Hopwood, Patricia Schartau, Shani Gray, Jessica Timmis, Sarah Bennett, Chris Valerio, Veena Rodrigues, Emily Player, Willie Hamilton, Rosalind Raine, Stephen Duffy, and Jessica Sheringham
Subjects: Clinical reasoning, Simulation, Virtual patient, Online learning, Medical students, Medical education, Special aspects of education, LC8-6691, Medicine
Abstract: Abstract Background Online patient simulations (OPS) are a novel method for teaching clinical reasoning skills to students and could contribute to reducing diagnostic errors. However, little is known about how best to implement and evaluate OPS in medical curricula. The aim of this study was to assess the feasibility, acceptability and potential effects of eCREST — the electronic Clinical Reasoning Educational Simulation Tool. Methods A feasibility randomised controlled trial was conducted with final year undergraduate students from three UK medical schools in academic year 2016/2017 (cohort one) and 2017/2018 (cohort two). Student volunteers were recruited in cohort one via email and on teaching days, and in cohort two eCREST was also integrated into a relevant module in the curriculum. The intervention group received three patient cases and the control group received teaching as usual; allocation ratio was 1:1. Researchers were blind to allocation. Clinical reasoning skills were measured using a survey after 1 week and a patient case after 1 month. Results Across schools, 264 students participated (18.2% of all eligible). Cohort two had greater uptake (183/833, 22%) than cohort one (81/621, 13%). After 1 week, 99/137 (72%) of the intervention and 86/127 (68%) of the control group remained in the study. eCREST improved students’ ability to gather essential information from patients over controls (OR = 1.4; 95% CI 1.1–1.7, n = 148). Of the intervention group, most (80/98, 82%) agreed eCREST helped them to learn clinical reasoning skills. Conclusions eCREST was highly acceptable and improved data gathering skills that could reduce diagnostic errors. Uptake was low but improved when integrated into course delivery. A summative trial is needed to estimate effectiveness.
Published: 2020
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7. The importance of blood pressure thresholds versus predicted cardiovascular risk on subsequent rates of cardiovascular disease: a cohort study in English primary care

Author: Emily Herrett, PhD, Helen Strongman, PhD, Sarah Gadd, PhD, Laurie Tomlinson, PhD, Dorothea Nitsch, ProfMD, Krishnan Bhaskaran, ProfPhD, Elizabeth Williamson, ProfPhD, Tjeerd van Staa, ProfMD, Reecha Sofat, MRCP, Adam Timmis, FRCP, Susan Wells, PhD, Liam Smeeth, ProfFRCGP, and Rod Jackson, ProfPhD
Subjects: Geriatrics, RC952-954.6, Medicine
Abstract: Summary: Background: For five decades, blood pressure lowering treatment has been recommended for patients with hypertension (currently defined as blood pressure of ≥140/90 mm Hg). In the past 20 years, guidelines for treatment began incorporating predicted absolute cardiovascular disease risk (predicted risk) and reducing blood pressure thresholds. The blood pressure threshold at which to start treatment has become a secondary consideration in some countries. We aimed to provide descriptive data to assess the relative importance of blood pressure thresholds versus predicted risk on the subsequent rate of cardiovascular disease to inform treatment decisions. Methods: In this English population-based cohort study, we used linked data from the Clinical Practice Research Datalink (CPRD) GOLD, Hospital Episode Statistics Admitted Patient Care, and the Office for National Statistics mortality data, and area-based deprivation indices (Townsend scores). Eligible patients were aged 30–79 years on Jan 1, 2011 (cohort entry date) and could be linked to hospital, mortality, and deprivation data. Patients were followed up until death, end of CPRD follow-up, or Nov 31, 2018. We examined three outcomes: cardiovascular disease, markers of potential target organ damage, and incident dementia without a known cause. The rate of each outcome was estimated and stratified by systolic blood pressure and predicted 10-year risk of cardiovascular disease (QRISK2 algorithm). Findings: Between Jan 1, 2011, and Nov 31, 2018, 1 098 991 patients were included in the cohort and followed up for a median of 4·3 years (IQR 2·6–6·0; total follow-up of 4·6 million person-years). Median age at entry was 52 years (IQR 42–62) and 629 711 (57·3%) patients were female. There were 51 996 cardiovascular disease events and the overall rate of cardiovascular disease was 11·2 per 1000 person-years (95% CI 11·1–11·3). Median QRISK2 10-year predicted risk was 4·6% (IQR 1·4–12·0) and mean systolic blood pressure before cohort entry was 129·1 mm Hg (SD 15·7). Within strata of predicted risk, the effect of increasing systolic blood pressure on outcomes was small. For example, in the group with 10·0–19·9% predicted risk, rates of all cardiovascular disease rose from 20·1 to 23·6 per 1000 person-years between systolic blood pressures less than 110 mm Hg and 180 and higher mm Hg. But among patients with systolic blood pressure 140·0–149·9 mm Hg, rates rose from 6·9 to 52·3 per 1000 person-years between those with less than 10·0% risk and those with 30·0% or higher predicted risk. Interpretation: For a wide range of blood pressures, the rate of cardiovascular disease and effectiveness of blood pressure drug treatment was mainly determined by predicted risk, with blood pressure thresholds 140/90 mm Hg or 160/100 mm Hg—ubiquitous in most countries—adding little useful information. When medium-term predicted risk is low, there is no urgency to initiate drug treatment, allowing time to attempt non-pharmacological blood pressure reduction. Funding: National Institute for Health Research.
Published: 2022
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8. Bleeding in cardiac patients prescribed antithrombotic drugs: electronic health record phenotyping algorithms, incidence, trends and prognosis

Author: Laura Pasea, Sheng-Chia Chung, Mar Pujades-Rodriguez, Anoop D. Shah, Samantha Alvarez-Madrazo, Victoria Allan, James T. Teo, Daniel Bean, Reecha Sofat, Richard Dobson, Amitava Banerjee, Riyaz S. Patel, Adam Timmis, Spiros Denaxas, and Harry Hemingway
Subjects: Bleeding, Electronic health records, Phenotype, Antithrombotic therapy, Prognosis, Medicine
Abstract: Abstract Background Clinical guidelines and public health authorities lack recommendations on scalable approaches to defining and monitoring the occurrence and severity of bleeding in populations prescribed antithrombotic therapy. Methods We examined linked primary care, hospital admission and death registry electronic health records (CALIBER 1998–2010, England) of patients with newly diagnosed atrial fibrillation, acute myocardial infarction, unstable angina or stable angina with the aim to develop algorithms for bleeding events. Using the developed bleeding phenotypes, Kaplan-Meier plots were used to estimate the incidence of bleeding events and we used Cox regression models to assess the prognosis for all-cause mortality, atherothrombotic events and further bleeding. Results We present electronic health record phenotyping algorithms for bleeding based on bleeding diagnosis in primary or hospital care, symptoms, transfusion, surgical procedures and haemoglobin values. In validation of the phenotype, we estimated a positive predictive value of 0.88 (95% CI 0.64, 0.99) for hospitalised bleeding. Amongst 128,815 patients, 27,259 (21.2%) had at least 1 bleeding event, with 5-year risks of bleeding of 29.1%, 21.9%, 25.3% and 23.4% following diagnoses of atrial fibrillation, acute myocardial infarction, unstable angina and stable angina, respectively. Rates of hospitalised bleeding per 1000 patients more than doubled from 1.02 (95% CI 0.83, 1.22) in January 1998 to 2.68 (95% CI 2.49, 2.88) in December 2009 coinciding with the increased rates of antiplatelet and vitamin K antagonist prescribing. Patients with hospitalised bleeding and primary care bleeding, with or without markers of severity, were at increased risk of all-cause mortality and atherothrombotic events compared to those with no bleeding. For example, the hazard ratio for all-cause mortality was 1.98 (95% CI 1.86, 2.11) for primary care bleeding with markers of severity and 1.99 (95% CI 1.92, 2.05) for hospitalised bleeding without markers of severity, compared to patients with no bleeding. Conclusions Electronic health record bleeding phenotyping algorithms offer a scalable approach to monitoring bleeding in the population. Incidence of bleeding has doubled in incidence since 1998, affects one in four cardiovascular disease patients, and is associated with poor prognosis. Efforts are required to tackle this iatrogenic epidemic.
Published: 2019
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9. Psychological distress and trauma in doctors providing frontline care during the COVID-19 pandemic in the United Kingdom and Ireland: a prospective longitudinal survey cohort study

Author: Jo Daniels, James Foley, Mark David Lyttle, M Anderson, J Browning, M Clark, S Foster, S Hartshorn, M Jacobs, S Messahel, N Mullen, J Brown, S Subramaniam, S Williams, A Ahmed, E Williams, S Hall, C Bi, M Khan, R Hannah, S Taylor, L Dunlop, J Gumley, K Knight, C Williams, J Turner, B Taylor, R Mills, M Lim, J Evans, C O’Connell, Tom Roberts, A Rai, P Singh, M Williams, S Graham, R Taylor, S Rahman, J Wright, J Lynch, S Lewis, P Fitzpatrick, J Ng, V Talwar, N Ali, G Pells, P Ellis, J Bailey, John Cronin, J Morgan, K Samuel, A Ali, M Patel, S Morgan, A Hill, S Rao, S Currie, C Thomas, K Thomas, Katie Samuel, H Cooper, L McKechnie, S Pradhan, A Brookes, W Niven, L Kane, C Rimmer, K Kaur, R Stewart, T Hussan, P Cuthbert, M Alex, F Barham, R Macfarlane, M Jee Poh Hock, C Ward, C Weegenaar, O Williams, S Manou, MH Elwan, C Nunn, C Reynard, L How, D McConnell, J Muller, H Malik, K Challen, C Magee, S Pintus, S Langston, C Szekeres, L Kehler, C Leech, Y Moulds, A Mackay, R Wright, A Saunders, S Naeem, N Cherian, C Boulind, L Brown, E Grocholski, A Tabner, M Colmar, D Raffo, L Somerset, C Holmes, L Armstrong, S Collins, J Lowe, J Ritchie, F Wood, M Mohammad, S Wilson, R O'Sullivan, R Ellis, M MacKenzie, R Das, P Turton, L Robertson, A Robertson, J Hunt, João Vinagre, H Millar, R Freeman, A Corfield, R McQuillan, A Hormis, L Mackenzie, S Sharma Hajela, J Phizacklea, J Maney, K Malik, D Metcalfe, N Mathai, S Timmis, A Sattout, R Newport, E Fadden, D Bawden, B O'Hare, C Roe, D Bewick, F Taylor, L Barnicott, A Charlton, L McCrae, C Munday, E Godden, A Turner, R Sainsbury, A Lawrence-Ball, R House, S Patil, I Skene, M Winstanley, N Tambe, D Mawhinney, M Elkanzi, T Perry, W Kan, M Cheema, A Clarey, R Greenhalgh, A Gulati, S Marimuthu, K Webster, A Howson, R Doonan, B Shrestha, L Stanley, A Trimble, E Colley, J Lockwood, T Mohamed, H Jarman, S Ramraj, V Worsnop, N Masood, R McLatchie, A Peasley, S Bongale, U Bait, S Nagendran, A Hay, F Mendes, H Raybould, T Baron, C Ponmani, M Depante, R Sneep, Z Al-Janabi, A Rainey, N Marriage, B Mallon, J McLaren, S Hart, M Elsheikh, L Cocker, S Keers, K L Vincent, D Craver, N Sarja, N Moultrie, M Viegas, S Purvis, E Wooffinden, C Davies, S Foreman, A Da-Costa, C Ngua, S Duckitt, N Hoskins, J Fryer, T Hine, F Ihsan, L Frost, H Abdullah, K Bader, K Gray, M Manoharan, R Muswell, P Amiri, M Bonsano, S Shrivastava, F Raza, E Christmas, M Riyat, L O'Rourke, H Knott, K Adeboye, M Ramazany, K Iftikhar, N Abela, R Darke, D Maasdorp, H Murphy, H Edmundson, c Orjioke, L Harwood, D Worley, K Lines, W Collier, J Everson, D Ranasinghe, N Maleki, A Stafford, S Gokani, M Charalambos, A Olajide, H Ahmad, K Holzman, A Patton, S Gilmartin, S Uí Bhroin, S Kukaswadia, C Prendergast, C Dalla Vecchia, M Grummell, I Grossi, B MacManus, A Boyle, A Waite, J Vinagre, D George, C Battle, J Anandarajah, I Hancock, D Manthalapo, Ramesh Babu, FM Burton, I Musliam, Veettil Asif, and M JeePoh Hock
Subjects: Medicine
Abstract: Objectives The psychological impact of the COVID-19 pandemic on doctors is a significant concern. Due to the emergence of multiple pandemic waves, longitudinal data on the impact of COVID-19 are vital to ensure an adequate psychological care response. The primary aim was to assess the prevalence and degree of psychological distress and trauma in frontline doctors during the acceleration, peak and deceleration of the COVID-19 first wave. Personal and professional factors associated with psychological distress are also reported.Design A prospective online three-part longitudinal survey.Setting Acute hospitals in the UK and Ireland.Participants Frontline doctors working in emergency medicine, anaesthetics and intensive care medicine during the first wave of the COVID-19 pandemic in March 2020.Primary outcome measures Psychological distress and trauma measured using the General Health Questionnaire-12 and the Impact of Events-Revised.Results The initial acceleration survey distributed across networks generated a sample of 5440 doctors. Peak and deceleration response rates from the original sample were 71.6% (n=3896) and 56.6% (n=3079), respectively. Prevalence of psychological distress was 44.7% (n=1334) during the acceleration, 36.9% (n=1098) at peak and 31.5% (n=918) at the deceleration phase. The prevalence of trauma was 23.7% (n=647) at peak and 17.7% (n=484) at deceleration. The prevalence of probable post-traumatic stress disorder was 12.6% (n=343) at peak and 10.1% (n=276) at deceleration. Worry of family infection due to clinical work was the factor most strongly associated with both distress (R2=0.06) and trauma (R2=0.10).Conclusion Findings reflect a pattern of elevated distress at acceleration and peak, with some natural recovery. It is essential that policymakers seek to prevent future adverse effects through (a) provision of vital equipment to mitigate physical and psychological harm, (b) increased awareness and recognition of signs of psychological distress and (c) the development of clear pathways to effective psychological care.Trial registration number ISRCTN10666798.
Published: 2021
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10. The patient’s view on rare disease trial design – a qualitative study

Author: C. M. W. Gaasterland, M. C. Jansen – van der Weide, M. J. du Prie – Olthof, M. Donk, M. M. Kaatee, R. Kaczmarek, C. Lavery, K. Leeson-Beevers, N. O’Neill, O. Timmis, V. van Nederveen, E. Vroom, and J. H. van der Lee
Subjects: Rare diseases, Patient involvement, Qualitative study, Medicine
Abstract: Abstract Background Clinical trials in rare diseases are more challenging than trials in frequent diseases. Small numbers of eligible trial participants, often complicated by heterogeneity among rare disease patients, hamper the design and conduct of a ‘classical’ Randomized Controlled Trial. Therefore, novel designs are developed by statisticians. However, it is important to be aware of possible design aspects that may jeopardize the feasibility of trial conduct. If the burden of participation is considered out of proportion by patients or parents, recruitment may fail or participants may drop out before trial completion. In order to maximize the chance of success of trials in small populations, it is important to know which aspects of trial design are considered important by patients. Results We have interviewed all ten members of the Patient Think Tank (PTT) of the ASTERIX project, a European research consortium on methodology for clinical trials in small populations. The PTT members are rare disease patient representatives who have completed extensive training in clinical trial methodology. We have analyzed the interviews qualitatively according to Grounded Theory using a thematic analysis, and we structured the topics in four chronologically ordered themes: 1. Involvement in trial design; 2. Opinions on trial design; 3. Trial participation; 4. Phase after the trial. Our main findings are that the PTT-members recommend that patients are involved in trial design from an early stage on, and have influence on the outcomes and measurement instruments that are chosen in the trial, the length of the study, the choice of participants, and the information that is sent to potential participants. Also, according to the PTT-members, patient groups should consider setting up disease registries, placebo groups should be minimized, and more education on clinical trials is advised. Conclusions Rare disease patient representatives who have been educated about clinical trial methodology think it is important to involve patient representatives in research at an early stage. They can be of advice in trial design in such a way that the ratio of potential benefit and burden of trial participation as well as the chosen outcome measures and in- and exclusion criteria are optimized.
Published: 2019
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11. Tissue-specific transcriptomic changes associated with AmBisome® treatment of BALB/c mice with experimental visceral leishmaniasis [version 1; peer review: 2 approved]

Author: Sarah Forrester, Karin Siefert, Helen Ashwin, Najmeeyah Brown, Andrea Zelmar, Sally James, Dimitris Lagos, Jon Timmis, Mitali Chatterjee, Jeremy C. Mottram, Simon L. Croft, and Paul M. Kaye
Subjects: Medicine, Science
Abstract: Background: Liposomal amphotericin B (AmBisome®) as a treatment modality for visceral leishmaniasis (VL) has had significant impact on patient care in some but not all regions where VL is endemic. As the mode of action of AmBisome® in vivo is poorly understood, we compared the tissue-specific transcriptome in drug-treated vs untreated mice with experimental VL. Methods: BALB/c mice infected with L. donovani were treated with 8mg/kg AmBisome®, resulting in parasite elimination from liver and spleen over a 7-day period. At day 1 and day 7 post treatment (Rx+1 and Rx+7), transcriptomic profiling was performed on spleen and liver tissue from treated and untreated mice and uninfected mice. BALB/c mice infected with M. bovis BCG (an organism resistant to amphotericin B) were analysed to distinguish between direct effects of AmBisome® and those secondary to parasite death. Results: AmBisome® treatment lead to rapid parasitological clearance. At Rx+1, spleen and liver displayed only 46 and 88 differentially expressed (DE) genes (P
Published: 2019
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12. Improving cardiovascular disease risk communication in NHS Health Checks: a qualitative study

Author: Adam Timmis, John Robson, Meredith K D Hawking, Fae Wilkins, and Jessica L Potter
Subjects: Medicine
Abstract: Objective The NHS Health Check programme is a public screening and prevention initiative in England to detect early signs of cardiovascular ill health among healthy adults. We aimed to explore patient perspectives and experiences of a personalised Risk Report designed to improve cardiovascular risk communication in the NHS Health Check.Design and setting This is a qualitative study with NHS Health Check attendees in three general practices in the London Borough of Newham.Intervention and participants A personalised Risk Report for the NHS Health Check was developed to improve communication of results and advice. The Risk Report was embedded in the electronic health record, printed with auto-filled results and used as a discussion aid during the NHS Health Check, and was a take-home record of information and advice on risk reduction for the attendees. 18 purposively sampled socially diverse participants took part in semistructured interviews, which were analysed thematically.Results For most participants, the NHS Health Check was an opportunity for reassurance and assessment, and the Risk Report was an enduring record that supported risk understanding, with impact beyond the individual. For a minority, ambivalence towards the Risk Report occurred in the context of attending for other reasons, and risk and lifestyle advice were not internalised or acted on.Conclusion Our findings demonstrate the potential of a personalised Risk Report as a useful intervention in NHS Health Checks for enhancing patient understanding of cardiovascular risk and strategies for risk reduction. Also highlighted are the challenges that must be overcome to ensure transferability of these benefits to diverse patient groups.Trial registration number NCT02486913.
Published: 2019
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13. Tissue and host species-specific transcriptional changes in models of experimental visceral leishmaniasis [version 2; referees: 3 approved, 1 approved with reservations]

Author: Helen Ashwin, Karin Seifert, Sarah Forrester, Najmeeyah Brown, Sandy MacDonald, Sally James, Dimitris Lagos, Jon Timmis, Jeremy C Mottram, Simon L. Croft, and Paul M. Kaye
Subjects: Medicine, Science
Abstract: Background: Human visceral leishmaniasis, caused by infection with Leishmania donovani or L. infantum, is a potentially fatal disease affecting 50,000-90,000 people yearly in 75 disease endemic countries, with more than 20,000 deaths reported. Experimental models of infection play a major role in understanding parasite biology, host-pathogen interaction, disease pathogenesis, and parasite transmission. In addition, they have an essential role in the identification and pre-clinical evaluation of new drugs and vaccines. However, our understanding of these models remains fragmentary. Although the immune response to Leishmania donovani infection in mice has been extensively characterized, transcriptomic analysis capturing the tissue-specific evolution of disease has yet to be reported. Methods: We provide an analysis of the transcriptome of spleen, liver and peripheral blood of BALB/c mice infected with L. donovani. Where possible, we compare our data in murine experimental visceral leishmaniasis with transcriptomic data in the public domain obtained from the study of L. donovani-infected hamsters and patients with human visceral leishmaniasis. Digitised whole slide images showing the histopathology in spleen and liver are made available via a dedicated website, www.leishpathnet.org. Results: Our analysis confirms marked tissue-specific alterations in the transcriptome of infected mice over time and identifies previously unrecognized parallels and differences between murine, hamster and human responses to infection. We show commonality of interferon-regulated genes whilst confirming a greater activation of type 2 immune pathways in infected hamsters compared to mice. Cytokine genes and genes encoding immune checkpoints were markedly tissue specific and dynamic in their expression, and pathways focused on non-immune cells reflected tissue specific immunopathology. Our data also addresses the value of measuring peripheral blood transcriptomics as a potential window into underlying systemic disease. Conclusions: Our transcriptomic data, coupled with histopathologic analysis of the tissue response, provide an additional resource to underpin future mechanistic studies and to guide clinical research.
Published: 2019
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14. Tissue and host species-specific transcriptional changes in models of experimental visceral leishmaniasis [version 1; referees: 3 approved, 1 approved with reservations]

Author: Helen Ashwin, Karin Seifert, Sarah Forrester, Najmeeyah Brown, Sandy MacDonald, Sally James, Dimitris Lagos, Jon Timmis, Jeremy Mottram, Simon L. Croft, and Paul M. Kaye
Subjects: Medicine, Science
Abstract: Background: Human visceral leishmaniasis, caused by infection with Leishmania donovani or L. infantum, is a potentially fatal disease affecting 50,000-90,000 people yearly in 75 disease endemic countries, with more than 20,000 deaths reported. Experimental models of infection play a major role in understanding parasite biology, host-pathogen interaction, disease pathogenesis, and parasite transmission. In addition, they have an essential role in the identification and pre-clinical evaluation of new drugs and vaccines. However, our understanding of these models remains fragmentary. Although the immune response to Leishmania donovani infection in mice has been extensively characterized, transcriptomic analysis capturing the tissue-specific evolution of disease has yet to be reported. Methods: We provide an analysis of the transcriptome of spleen, liver and peripheral blood of BALB/c mice infected with L. donovani. Where possible, we compare our data in murine experimental visceral leishmaniasis with transcriptomic data in the public domain obtained from the study of L. donovani-infected hamsters and patients with human visceral leishmaniasis. Digitised whole slide images showing the histopathology in spleen and liver are made available via a dedicated website, www.leishpathnet.org. Results: Our analysis confirms marked tissue-specific alterations in the transcriptome of infected mice over time and identifies previously unrecognized parallels and differences between murine, hamster and human responses to infection. We show commonality of interferon-regulated genes whilst confirming a greater activation of type 2 immune pathways in infected hamsters compared to mice. Cytokine genes and genes encoding immune checkpoints were markedly tissue specific and dynamic in their expression, and pathways focused on non-immune cells reflected tissue specific immunopathology. Our data also addresses the value of measuring peripheral blood transcriptomics as a potential window into underlying systemic disease. Conclusions: Our transcriptomic data, coupled with histopathologic analysis of the tissue response, provide an additional resource to underpin future mechanistic studies and to guide clinical research.
Published: 2018
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15. Multimorbidity and survival for patients with acute myocardial infarction in England and Wales: Latent class analysis of a nationwide population-based cohort.

Author: Marlous Hall, Tatendashe B Dondo, Andrew T Yan, Mamas A Mamas, Adam D Timmis, John E Deanfield, Tomas Jernberg, Harry Hemingway, Keith A A Fox, and Chris P Gale
Subjects: Medicine
Abstract: BackgroundThere is limited knowledge of the scale and impact of multimorbidity for patients who have had an acute myocardial infarction (AMI). Therefore, this study aimed to determine the extent to which multimorbidity is associated with long-term survival following AMI.Methods and findingsThis national observational study included 693,388 patients (median age 70.7 years, 452,896 [65.5%] male) from the Myocardial Ischaemia National Audit Project (England and Wales) who were admitted with AMI between 1 January 2003 and 30 June 2013. There were 412,809 (59.5%) patients with multimorbidity at the time of admission with AMI, i.e., having at least 1 of the following long-term health conditions: diabetes, chronic obstructive pulmonary disease or asthma, heart failure, renal failure, cerebrovascular disease, peripheral vascular disease, or hypertension. Those with heart failure, renal failure, or cerebrovascular disease had the worst outcomes (39.5 [95% CI 39.0-40.0], 38.2 [27.7-26.8], and 26.6 [25.2-26.4] deaths per 100 person-years, respectively). Latent class analysis revealed 3 multimorbidity phenotype clusters: (1) a high multimorbidity class, with concomitant heart failure, peripheral vascular disease, and hypertension, (2) a medium multimorbidity class, with peripheral vascular disease and hypertension, and (3) a low multimorbidity class. Patients in class 1 were less likely to receive pharmacological therapies compared with class 2 and 3 patients (including aspirin, 83.8% versus 87.3% and 87.2%, respectively; β-blockers, 74.0% versus 80.9% and 81.4%; and statins, 80.6% versus 85.9% and 85.2%). Flexible parametric survival modelling indicated that patients in class 1 and class 2 had a 2.4-fold (95% CI 2.3-2.5) and 1.5-fold (95% CI 1.4-1.5) increased risk of death and a loss in life expectancy of 2.89 and 1.52 years, respectively, compared with those in class 3 over the 8.4-year follow-up period. The study was limited to all-cause mortality due to the lack of available cause-specific mortality data. However, we isolated the disease-specific association with mortality by providing the loss in life expectancy following AMI according to multimorbidity phenotype cluster compared with the general age-, sex-, and year-matched population.ConclusionsMultimorbidity among patients with AMI was common, and conferred an accumulative increased risk of death. Three multimorbidity phenotype clusters that were significantly associated with loss in life expectancy were identified and should be a concomitant treatment target to improve cardiovascular outcomes.Trial registrationClinicalTrials.gov NCT03037255.
Published: 2018
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16. Time spent at blood pressure target and the risk of death and cardiovascular diseases.

Author: Sheng-Chia Chung, Mar Pujades-Rodriguez, Bram Duyx, Spiros C Denaxas, Laura Pasea, Aroon Hingorani, Adam Timmis, Bryan Williams, and Harry Hemingway
Subjects: Medicine, Science
Abstract: BACKGROUND:The time a patient spends with blood pressure at target level is an intuitive measure of successful BP management, but population studies on its effectiveness are as yet unavailable. METHOD:We identified a population-based cohort of 169,082 individuals with newly identified high blood pressure who were free of cardiovascular disease from January 1997 to March 2010. We used 1.64 million clinical blood pressure readings to calculate the TIme at TaRgEt (TITRE) based on current target blood pressure levels. RESULT:The median (Inter-quartile range) TITRE among all patients was 2.8 (0.3, 5.6) months per year, only 1077 (0.6%) patients had a TITRE ≥11 months. Compared to people with a 0% TITRE, patients with a TITRE of 3-5.9 months, and 6-8.9 months had 75% and 78% lower odds of the composite of cardiovascular death, myocardial infarction and stroke (adjusted odds ratios, 0.25 (95% confidence interval: 0.21, 0.31) and 0.22 (0.17, 0.27), respectively). These associations were consistent for heart failure and any cardiovascular disease and death (comparing a 3-5.9 month to 0% TITRE, 63% and 60% lower in odds, respectively), among people who did or did not have blood pressure 'controlled' on a single occasion during the first year of follow-up, and across groups defined by number of follow-up BP measure categories. CONCLUSION:Based on the current frequency of measurement of blood pressure this study suggests that few newly hypertensive patients sustained a complete, year-round on target blood pressure over time. The inverse associations between a higher TITRE and lower risk of incident cardiovascular diseases were independent of widely-used blood pressure 'control' indicators. Randomized trials are required to evaluate interventions to increase a person's time spent at blood pressure target.
Published: 2018
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17. Epidemiology of cardiovascular disease in Europe

Author: Aleksandra Torbica, Denis Kazakiewicz, F. Lucy Wright, Chris P Gale, Stephan Achenbach, Adam Timmis, Radu Huculeci, Franz Weidinger, Nick Townsend, and Panos Vardas
Subjects: medicine.medical_specialty, business.industry, Psychological intervention, Disease, European region, Years of potential life lost, Environmental health, Epidemiology, CARDIOVASCULAR DIESEASES, PUBLIC HEALTH, EPIDEMIOLOGY, CARDIOVASCULAR DIESEASES, medicine, EPIDEMIOLOGY, PUBLIC HEALTH, Surveillance and monitoring, Cardiology and Cardiovascular Medicine, business
Abstract: This Review presents data describing the health burden of cardiovascular disease (CVD) within and across the WHO European Region. CVD remains the most common cause of death in the region. Deaths from CVD in those aged 60 million potential years of life lost to CVD in Europe annually. Although more women than men die from CVD, age-standardized rates of both morbidity and death are higher in men, and these differences in rates are greatest in individuals aged
Published: 2021

18. Strategies to minimize preventable morbidity and mortality resulting from pandemics like<scp>COVID</scp>‐19

Author: Wei E. Huang, James Kenneth Timmis, Kenneth Timmis, Athena Institute, and Science and Society
Subjects: medicine.medical_specialty, 2019-20 coronavirus outbreak, Coronavirus disease 2019 (COVID-19), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), MEDLINE, Biology, Microbiology, SDG 3 - Good Health and Well-being, Pandemic, medicine, Intensive care medicine, Ecology, Evolution, Behavior and Systematics
Published: 2020

19. Systematic Coronary Risk Evaluation (SCORE)

Author: Brian A. Ference, Radu Huculeci, Marie-Therese Cooney, Adam Timmis, Ian D. Graham, Panos Vardas, Dirk De Bacquer, Martin Halle, Frank L.J. Visseren, and Emanuele Di Angelantonio
Subjects: Estimation, medicine.medical_specialty, business.industry, 030204 cardiovascular system & hematology, Risk factor (computing), Clinical Practice, 03 medical and health sciences, 0302 clinical medicine, Fixed time, Coronary risk, Heart score, Medicine, Lifetime risk, 030212 general & internal medicine, Cardiology and Cardiovascular Medicine, business, Intensive care medicine, Risk assessment
Abstract: Clinical estimation of the combined effect of several risk factors is unreliable and this resulted in the development of a number of risk estimation systems to guide clinical practice. Here, after defining general principles of risk estimation, the authors describe the evolution of the European Society of Cardiology's (ESC) Systematic COronary Risk Evaluation (SCORE) risk estimation system and some learnings from the data. They move on to describe the establishment of the ESC's Cardiovascular Risk Collaboration and outline its proposed research directions. First among these is the evolution of SCORE 2, which provides updated, calibrated risk estimates for total cardiovascular events for low, moderate, high, and very high-risk regions of Europe. The authors conclude by considering that the future of risk estimation may be to express risk as years of exposure to a cardiovascular risk factor profile rather than risk over a fixed time period, such as 10 years, and how advances in genetics may permit individualized lifetime risk estimation from childhood on.
Published: 2021

20. GLPG1205, a GPR84 Modulator: Safety, Pharmacokinetics, and Pharmacodynamics in Healthy Subjects

Author: Tim Van Kaem, Helen Timmis, Eric Helmer, Eva Santermans, Sonia Dupont, Johan Beetens, Silke Huettner, Julie Desrivot, and Luc Meuleners
Subjects: Adult, Male, safety, Single administration, medicine.medical_specialty, Maximum Tolerated Dose, Pharmaceutical Science, Original Manuscript, GLPG1205, Placebo, 030226 pharmacology & pharmacy, Gastroenterology, Loading dose, Receptors, G-Protein-Coupled, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Double-Blind Method, Pharmacokinetics, Internal medicine, pharmacodynamics, medicine, Humans, Pharmacology (medical), Aged, Aged, 80 and over, Dose-Response Relationship, Drug, business.industry, first‐in‐human, Age Factors, Healthy subjects, Articles, Middle Aged, Tolerability, 030220 oncology & carcinogenesis, Pharmacodynamics, Maximum tolerated dose, business, pharmacokinetics, Half-Life
Abstract: GLPG1205 is a modulator of GPR84, a G‐protein–coupled receptor reported to be associated with several diseases. Safety, tolerability, pharmacokinetics, and pharmacodynamics of GLPG1205 in healthy subjects were evaluated in 2 randomized, double‐blind, placebo‐controlled, single‐site, phase 1 studies. In study 1, 16 (aged 21‐48 years) and 24 (24‐50 years) healthy men received single doses of GLPG1205 10 to 800 mg, and GLPG1205 50, 100, or 200 mg once daily for 14 days, respectively, or placebo. Study 2 evaluated the effect of aging on GLPG1205 pharmacokinetics: 24 healthy men (aged 37–83 years), weight‐matched into 3 age cohorts (65‐74, ≥75, and 18‐50 years), received GLPG1205 50 mg or placebo once daily for 14 days; an open‐label part of this study evaluated a GLPG1205 250‐mg loading dose followed by 50 mg once daily for 13 days in 8 healthy men (aged 68‐74 years). Single (up to 800 mg) and multiple (maximum tolerated dose 100 mg once daily) GLPG1205 doses had favorable safety and tolerability profiles. After single administration of GLPG1205, median time to occurrence of maximum observed plasma concentration and arithmetic mean apparent terminal half‐life ranged from 2.0 to 4.0 and from 30.1 to 140 hours, respectively. Age did not affect GLPG1205 exposure. GPR84 receptor occupancy with GLPG1205 vs placebo confirmed target engagement. These results support further clinical development of GLPG1205.
Published: 2021

21. Convalescent plasma in patients admitted to hospital with COVID-19 (RECOVERY): a randomised controlled, open-label, platform trial

Author: Obbina Abani, Ali Abbas, Fatima Abbas, Mustafa Abbas, Sadia Abbasi, Hakam Abbass, Alfie Abbott, Nabeel Abdallah, Ashraf Abdelaziz, Mohamed Abdelfattah, Bushra Abdelqader, David Abdo, Basir Abdul, Althaf Abdul Rasheed, Ajibode Abdulakeem, Rezan Abdul-Kadir, Amina Abdulle, Abdulfatahi Abdulmumeen, Rasheed Abdul-Raheem, Niyaz Abdulshukkoor, Kula Abdusamad, Yazeed Abed El Khaleq, Mai Abedalla, Abeer Ul Amna Abeer Ul Amna, Katrina Abernethy, Adebanke Aboaba, Hani Abo-Leyah, Ahmed Abou-Haggar, Mahmoud Abouibrahim, Miriam Abraham, Tizzy Abraham, Abraheem Abraheem, Judith Abrams, Hyacinth-John Abu, Ahmed Abu-Arafeh, Syed M Abubacker, Akata Abung, Yaa Aceampong, Amaka Achara, Devikumar Acharya, Sarah Acheampong, Janet Acheson, Andres Acosta, Catherine Acton, Jacqueline Adabie-Ankrah, Sara Adair, Fiona Adam, Matthew Adam, Huzaifa Adamali, Carol Adams, Charlotte Adams, Kate Adams, Lisa Adams, Richard Adams, Tim Adams, Kirsty Adcock, Jemaimah Addai, Ade Adebiyi, Ken Adegoke, Vicki Adell, Debo Ademokun, Sherna Adenwalla, Oluwasegun A Adesemoye, Emmanuel O Adewunmi, Joyce Adeyemi, Rina Adhikary, Gabrielle Adkins, Adnan Adnan, John Aeron-Thomas, Debbie Affleck, Dominic Affron, Carmel Afnan, Muhammad Afridi, Zainab A Aftab, Meenakshi Agarwal, Rachel Agbeko, Chris Agbo, Penny Agent, Sunil Aggarwal, Arameh Aghababaie, Shafana Ahamed Sadiq, Mohamed H Ahammed Nazeer, Humayun Ahmad, Mohammad Ahmad, Syed Ahmad, Asim Ahmed, Bilal Ahmed, Forizuddin Ahmed, Hamze Ahmed, Iram Ahmed, Irshad Ahmed, Khaled Ahmed, Liban Ahmed, Mahin Ahmed, Maria C Ahmed, Muhammad S Ahmed, Naseer Ahmed, Nausheen Ahmed, Osama Ahmed, Rajia A Ahmed, Rizwan Ahmed, Saif Ahmed, Sammiya Ahmed, Sara Ahmed, Sophia Ahmed, Syed Ahmed, Syed Haris Ahmed, Roa Ahmed Ali, Sana Ahmed, Sana Ahmer, Dhiraj Ail, Mark Ainsworth, Giulia Airoldi, Myriam Aissa, Lindianne Aitken, Bini Ajay, Francis Ajeneye, Abdulakeem Ajibode, Ayesha Ajmi, Tahir Akbar, Naim Akhtar, Nasim Akhtar, Nauman Akhtar, Suha Akili, Oludoyinsola Akindolie, Yinka Akinfenwa, Olugbenga Akinkugbe, Ibrahim Akinpelu, Olajide Akinwumiju, Olugbenro Aktinade, Ahmad Al Aaraj, Asma Al Balushi, Majd Al Dakhola, Aladdin Al Swaifi, Eslam Al-Abadi, Narendra Aladangady, Ayaz Alam, Sajid Alam, Abbas Al-Asadi, Karina Al-Asadi, Kyriaki Alatzoglou, Manaf Al-Bayati, Paul Albert, Lorraine Albon, Gemma Alcorn, Stephen Alcorn, Aggie Aldana, David Alderdice, Rayan Aldouri, Jonathan Aldridge, Nicolas Aldridge, Ana Alegria, Alison Alexander, John Alexander, Peter D G Alexander, Charlotte Alford, Julyan Al-Fori, Laith Alghazawi, Bahij Al-Hakim, Shams Al-Hity, Ali Ali, Asad Ali, Fawzia R Ali, Hoodo Ali, Jawad Ali, Mariam Ali, Mohammad Ali, Nayab Ali, Oudai Ali, Sabira Ali, Sakina Ali, Syed Ali, Abid Alina, Fine Aliyuda, Katrin Alizadeh, Maithem Al-Jibury, Saba Al-Juboori, Majid Al-Khalil, Moutaz Alkhusheh, Allameddine Allameddine, Fiona Allan, Rachel Allan, Alison Allanson, Robert Allcock, Beverley Allen, Eireann Allen, Jess Allen, Kerry Allen, Laura Allen, Louise Allen, Poppy Allen, Rebecca Allen, Sam Allen, Sharon Allen, Simon Allen, Kathryn Allison, Bethan Allman, Lynne Allsop, Hassan Al-Moasseb, Magda Al-Obaidi, Lina Alomari, Akram Al-Rabahi, Bahar Al-Ramadhani, Zayneb Al-Saadi, Inji Alshaer, Rustam Al-Shahi Salman, Warkaq Al-Shamkhani, Bashar Al-Sheklly, Sara Altaf, Mary Alvarez, Balaal Alyas, Maysaa Alzetani, Susan Amamou, Noor Amar, Sakkarai Ambalavanan, Sarah-Jayne Ambler, Robert Ambrogetti, Chris Ambrose, Amir Ameen, Kenneth Amenyah, Maria R Amezaga, Allison Amin, Amina Amin, Kanish Amin, Syed Amin, Tara Amin, Amjad Amjad, Neelma Amjad, Mariam Ammoun, Victoria Amosun, Khaled Amsha, Pugh Amy, Atul Anand, Rekha Anand, Samantha Anandappa, Julie Anderson, Kevin Anderson, Laura Anderson, Michelle Anderson, Nicola Anderson, Rachel Anderson, Rory Anderson, Wendy Anderson, Prematie Andreou, Angela Andrews, Antonette Andrews, Jill Andrews, Susan Andrews, Gregory Andrikopoulos, Kanayochukwu Aneke, Andrew Ang, Wan Wei Ang, Tammy Angel, Aramburo Angela, Paola Angelini, Lazarus Anguvaa, Oleg Anichtchik, Millicent Anim-Somuah, Krishnan Aniruddhan, Jessica Annett, Patrick J Anstey, Rebekah Anstey, Alpha Anthony, Aaron Anthony-Pillai, Philip Antill, Zhelyazkova Antonina, Varghese Anu, Muhammad Anwar, George Apostolides, Aristeidis Apostolopoulos, Sarah Appleby, Diane Appleyard, Maia Far Aquino, Bianca Araba, Samuel Aransiola, Mariana Araujo, Emily Arbon, Ann Archer, Denise Archer, Simon Archer, Christian Ardley, Ana-Maria Arias, Ryoki Arimoto, Charlotte Arkley, Charlotte Armah, Ilianna Armata, Adam Armitage, Ceri Armstrong, Maureen Armstrong, Sonia Armstrong, Sylvia Armstrong-Fisher, Philippa Armtrong, Heike Arndt, Clare Arnison-Newgass, David Arnold, Rachael Arnold, Sarah Arnott, Dhawal Arora, Kavan Arora, Pardeep Arora, Rishi Arora, Andrea Arroyo, Arslam Arter, Ayush Arya, Rita Arya, Denisa Asandei, Adeeba Asghar, Catherine Ashbrook-Raby, Glen Ashby, Helen Ashby, Jan Ashcroft, John Ashcroft, Samuel Ashcroft, Deborah Asher, Ayesha Ashfaq, Ben Ashford, Suhail Ashgar, Abdul Ashish, Sally Ashman-Flavell, Sundar Ashok, Abd-El-Aziz Ashour, Muhammad Z Ashraf, Saima Ashraf, Mohammad B Ashraq, Deborah Ashton, Susan Ashton, Andrew Ashworth, Rebecca Ashworth, Arshia Aslam, Harshini Asogan, Abigail Asquith, Atif Asrar, Omar Assaf, Raine Astin-Chamberlain, Richard Athay-Hunt, Deborah Athorne, Billie Atkins, Christopher Atkins, Stacey Atkins, John Atkinson, Vicki Atkinson, Brygitta Atraskiewicz, Claire Atterbury, Abdul Ahmad Attia, Rita Atugonza, Paula Aubrey, Avinash Aujayeb, Aye Chan Thar Aung, Hnin Aung, Kyaw Thu Aung, Ni Aung, Yin Aung, Zaw Myo Aung, Emily Austin, Karen Austin, Abdusshakur Auwal, Miriam Avery, Joanne Avis, Georgina Aviss, Cristina Avram, Paula Avram, Gabriel Awadzi, Atia Awan, Aszad Aya, Eman Ayaz, Amanda Ayers, Jawwad Azam, Mohammed Azharuddin, Ghazala Aziz, N Aziz, Ali Azkoul, Ashaari Azman Shah, Giada Azzopardi, Hocine Azzoug, Fiyinfoluwa Babatunde, Melvin Babi, Babiker Babiker, Gayna Babington, Matthew Babirecki, Marta Babores, Adetona O Babs-Osibodu, Sammy Bacciarelli, Roudi Bachar, Gina Bacon, Jenny Bacon, Bibi Badal, Gurpreet R Badhan, Shreya Badhrinarayanan, Joseph P Bae, Sibel Bafekr Mishamandani, Alice Baggaley, Amy Baggott, Graham Bagley, Dinesh Bagmane, Lynsey Bagshaw, Kasra Bahadori, James Bailey, Katie Bailey, Lindsey Bailey, Liz Bailey, Morgan Bailey, Pippa Bailey, Sarah Bailey, Stephen Bailey, Hamish Baillie, J Kenneth Baillie, Jennifer Bain, Sanchia Baines, Vikram Bains, Aimi Baird, David Baird, Susan Baird, Tracy Baird, Yolanda Baird, Aiysha Bajandouh, Charles Baker, Emma Baker, Evelyn Baker, Johanne Baker, Josephine Baker, Kenneth Baker, Rebecca Baker, Terri-Anne Baker, Victoria Baker, Hugh Bakere, Nawar Bakerly, Michelle Baker-Moffatt, Nauman Bakhtiar, Panos Bakoulas, Julie Balaam, Niranjan Balachandran, Andrea Balan, Theodosios Balaskas, Madhu Balasubramaniam, Alison Balcombe, Alexander Baldwin, Ashley Baldwin, Caron Baldwin, Danielle Baldwin, Rebekah Baldwin-Jones, James Balfour, Gagan Bali, Sonya Balkee, Ceri Ball, Kasia Ballard, Amy Ballinger, Ismael Balluz, Craig Balmforth, Emese Balogh, Amir Baluwala, Gabby Bambridge, Alasdair Bamford, Amy Bamford, Peter Bamford, Adefunke Bamgboye, Elizabeth Bancroft, Hollie Bancroft, Tanya Bancroft, Joyce Banda, Krishna Bandaru, Srini Bandi, Nageswar Bandla, Somaditya Bandyopadhyam, Amit Banerjee, Millie Banerjee, Ritwik Banerjee, Harrison Banks, Lauren Banks, Luke Banks, Paul Banks, Oliver Bannister, Bharat Bansal, Robert Banthorpe, Laura Banton, Mariamma Baptist, Tanya Baqai, Ananya Mouli Baral, Desislava Baramova, Alex Barber, Russel Barber, Emma Barbon, Miriam Barbosa, Monica Barbosa, Jamie Barbour, Alexander Barclay, Claire Barclay, George Bardsley, Stephanie Bareford, Shahedal Bari, Amy Barker, Debbie Barker, Helen Barker, Joseph Barker, Leon Barker, Oliver Barker, Kerry Barker-Williams, Sinha Barkha, Juliana Barla, Gavin Barlow, Richard Barlow, Valerie Barlow, James Barnacle, Alex Barnard, Debi Barnes, Nicky Barnes, Theresa Barnes, Calum Barnetson, Amy Barnett, Matthew Barnett, Ashton Barnett-Vanes, William Barnsley, Andrew Barr, David Barr, Shaney Barratt, Manuella Barrera, Amy Barrett, Fiona Barrett, Jessica Barrett, Joe Barry, Jazz Bartholomew, Claire Bartlett, Georgina Bartlett, Greg Barton, Jill Barton, Lorna Barton, Rachael Barton, Rosaleen Baruah, Sonia Baryschpolec, Archana Bashyal, Betsy Basker, Ayten Basoglu, Gilda Bass, John Bassett, G Bassett, Chris Bassford, Pavinder Bassi, Betsy Bassis, Bengisu Bassoy, Victoria Bastion, Anupam Basumatary, Tristan Bate, Harry J Bateman, Ian Bateman, Kathryn Bateman, Vhairi Bateman, Eleanor Bates, Hayley Bates, Michelle Bates, Simon Bates, Sally Batham, Ana Batista, Amit Batla, Dushyant Batra, Donna Batty, Harry Batty, Thomas Batty, Peter Baughan, Miranda Baum, Carina Bautista, Fareha Bawa, Fatima S Bawani, Simon Bax, Lydia Baxter, Matt Baxter, Nicola Baxter, Zachary Baxter, Hannah Bayes, Charlotte Baylem, Lee Bayliss, Eileen Bays, Farid Bazari, Rohit Bazaz, Ahmad Bazli, Laura Beacham, Wendy Beadles, Philip Beak, Andy Beale, Kirk Beard, Jack Bearpark, Karen Beaumont, Dawn Beaumont-Jewell, Theresa Beaver, Sarah Beavis, Christy Beazley, Sarah Beck, Virginia Beckett, Rosie Beckitt, Heidi Beddall, Seonaid Beddows, Deborah Beeby, Gail Beech, Michelle Beecroft, Sally Beer, Jane Beety, Gabriela Bega, Alison Begg, Susan Begg, Sara Beghini, Ayesha Begum, Salman Begum, Selina Begum, Teresa Behan, Jasmine Beharry, Roya Behrouzi, Jon Beishon, Claire Beith, James Belcher, Holly Belfield, Katherine Belfield, Ajay Belgaumkar, Dina Bell, Gareth Bell, Gill Bell, Gillian Bell, Joshua Bell, Lauren Bell, Louise Bell, Nicholas Bell, Pippa Bell, Stephanie Bell, Jennifer L Bell, Jennifer Bellamu, Mary Bellamy, Arianna Bellini, Amanda Bellis, Fionn Bellis, Lesley Bendall, Naveena Benesh, Nicola Benetti, Leonie Benham, Guy Benison-Horner, Alexander Bennett, Ann Bennett, Caroline Bennett, Christopher Bennett, Gillian Bennett, Ian Bennett, Kristopher Bennett, Lorraine Bennett, Sara Bennett, Karen Bennion, Vivienne Benson, Jane Benstead, Andrew Bentley, Dionne Bentley, James Bentley, Ian Benton, Eva Beranova, Matthew Beresford, Colin Bergin, Malin Bergstrom, Jolanta Bernatoniene, Thomas Berriman, Zoe Berry, Marnie Berwick, Kimberley Best, Ans-Mari Bester, Yvonne Beuvink, Emily Bevan, Sarah Bevins, Tom Bewick, Andrew Bexley, Sonay Beyatli, Fenella Beynon, Arjun Bhadi, Sanjay Bhagani, Shiv Bhakta, Rekha Bhalla, Khushpreet Bhandal, Kulbinder Bhandal, Ashwin Bhandari, Sangam Bhandari, Aashutosh Bhanot, Ravina Bhanot, Sruti Bhaskara, Prashanth Bhat, Nikhil Bhatia, Rahul Bhatnagar, Karan Bhatt, Janki Bhayani, Deepika Bhojwani, Salimuzzaman Bhuiyan, Anna Bibby, Fatima Bibi, Naheeda Bibi, Salma Bibi, Tihana Bicanic, Sarah Bidgood, Julie Bigg, Sarah Biggs, Alphonsa Biju, Andras Bikov, Sophie Billingham, Jessica Billings, Carron Bilton, Teodirico Binas, Martin Binney, Alice Binns, Muhammad BinRofaie, Oliver Bintcliffe, Catherine Birch, Jenny Birch, Louann Birch, Janet Birchall, Katherine Birchall, Sam Bird, Sumedha Bird, Charndip Biring, Mark Birt, Raquel Bisa, Kilanalei Bishop, Linda Bishop, Lisa Bishop, Karen Bisnauthsing, Nibedan Biswas, Sahar Biuk, Karen Blachford, Ethel Black, Helen Black, Karen Black, Mairead Black, Polly Black, Hayley Blackgrove, Bethan Blackledge, Joanne Blackler, Samantha Blackley, Helen Blackman, Stuart Blackmore, Caroline Blackstock, Loraine Blackwood, Francesca Blakemore, Helen Blamey, Alison Bland, Sujata Blane, Simon Blankley, Mary Blanton, Parry Blaxill, Jenny Blaxland, Katie Blaylock, Jane Blazeby, Carol Blears, Natalie Blencowe, Donna Blofield, Ben Bloom, Jack Bloomfield, Angela Bloss, Hannah Bloxham, Louise Blundell, Andrew Blunsum, Mark Blunt, Ian Blyth, Kevin Blyth, Andrew Blythe, Karen Blythe, Marilyn Boampoaa, Boniface Bobie, Karen Bobruk, Pritesh Bodalia, Neena Bodasing, Tanya Bodenham, Sherin Bodh, Gabriele Boehmer, Marta Boffito, Kristyna Bohmova, Sumit Bokhandi, Maria Bokhar, Saba Bokhari, Sakina Bokhari, Syed Owais Bokhari, Ambrose Boles, Sarah Bollington, Sam Bolton, Charlotte Bomken, Charlotte Bond, Hayley Bond, Helena Bond, Stuart Bond, Thomas Bond, Alice Bone, Georgia Boniface, Wendy Bonnert, Lizzy Bonney, Leigh Boorman, Catherine Booth, Joanne Borbone, Cameron Borhani, Naomi Borman, Rachel Borrell, Mamu Boshir, Fiona Bottrill, Laura Bough, Hayley Boughton, Zoe Boult, Miriam Bourke, Stephen Bourke, Michelle Bourne, Rachel Bousfield, Lucy Boustred, Darren Bowen, Kaye Bowen, Alexandra Bowes, Amy Bowes, Philip Bowker, Louise Bowman, Simon Bowman, Rachel Bowmer, Angie Bowring, Geoff Bowyer, Helen Bowyer, Carmel Boyd, Jenny Boyd, Laura Boyd, Maxine Boyd, Namoi Boyle, Pauline Boyle, Rosalind Boyle, Louise Boyles, Osman Bozdag, Leanna Brace, David Brack, Charlotte Brackstone, Rob Bradburn, Jodie Bradder, Barry Bradley, Clare Jane Bradley, Pamela Bradley, Patrick Bradley, Paul Bradley, Joanne Bradley-Potts, Lynne Bradshaw, Sarah Bradshaw, Zena Bradshaw, Rebecca Brady, Shirin Brady, Denise Braganza, Suhail Brailsford, Jill Braithwaite, Marie Branch, Thomas Brankin-Frisby, Jamie Brannigan, Louise Brassington, Sophie Brattan, Fiona Bray, Nancy Bray, Angela Brazier, Manny Brazil, Lucy Brear, Tracy Brear, Stephen Brearey, Laura Bremner, Morwenna Brend, Giovanna Bretland, Chris Brewer, Hannah Bridge, Gavin Bridgwood, Hayley Briggs, Mark Briggs, Sara Brigham, John Bright, Chris Brightling, Lutece Brimfield, Elaine Brinkworth, Robin Brittain-Long, Vianne Britten, Terri Brittin, Lauren Broad, Sarah Broad, Rosie Broadhurst, Andrew Broadley, Marie Broadway, Christopher Brockelsby, Megan Brocken, Tomos Brockley, Andrew Broderick, Mary Brodsky, Fiona Brogan, David Broggio, Liz Brohan, Felicity Brokke, Jacob Brolly, David Bromley, Hannah Brooke-Ball, Verity Brooker, Ceri Brookes, Matthew Brookes, Alison Brooks, Karen Brooks, Nicole Brooks, Philip Brooks, Rachel Brooks, Sophie Brooks, Natalie Broomhead, Chloe Broughton, Nathaniel Broughton, Matt Brouns, Marie Browett, Alison Brown, Ammani Brown, Carly Brown, Catrin Brown, Chloe Brown, Elizabeth Brown, Ellen Brown, Heather Brown, Janet Brown, Louise Brown, Niall Brown, Pauline Brown, Rachel Brown, Richard Brown, Robert Brown, Steven Brown, Tom Brown, Wayne Brown, Bria Browne, Charlotte Browne, Duncan Browne, Mitchell Browne, Stephen Brownlee, Alba Brraka, David Bruce, Johanna Bruce, Michelle Bruce, Wojciech Brudlo, Nigel Brunskill, Alan Brunton, Margaret Brunton, Mandy Bryan, Meera Bryant, April Buazon, Maya Buch, Julie Buchan, Ruaridh Buchan, Alexis Buchanan, Ruaridh Buchanan, Danielle Buche, Amanda Buck, Matthew Buckland, Laura Buckley, Philip Buckley, Sarah Buckley, Carol Buckman, Kathleen Buckmire, George Bugg, Ramadan Bujazia, Marwan Bukhari, Shanze Bukhari, Richard Bulbulia, Alex Bull, Damian Bull, Rhian Bull, Thomas Bull, Naomi Bulteel, Kasun Bumunarachchi, Roneleeh Bungue-Tuble, Caroline Burchett, Dorota Burda, Christy Burden, Thomas G Burden, Mika Burgess, Paula Burgess, Richard Burgess, Sophia Burgess, Paula Burgett, Adrian Burman, Sara Burnard, Caroline Burnett, John Burnett, Amanda Burns, Amy Burns, Collette Burns, James Burns, Karen Burns, Samuel Burns, Sarah Burns, Daniel Burrage, Sadie Burrage, Kate Burrows, Claire Burston, Ben Burton, Fiona Burton, Matthew Burton, Angela Busby, Deborah Butcher, Aaron Butler, Jessica Butler, Joanne Butler, Joshua Butler, Lesley Butler, Peter Butler, Susan Butler, Al-Tahoor Butt, Mohammad M Butt, Sophia Butt, Caryl Butterworth, Nicola Butterworth-Cowin, Robert Buttery, Tom Buttle, Heather Button, Daniel Buttress, Jane Byrne, Wendy Byrne, Victoria Byrne-Watts, Eleanor Byworth, Amanda Cabandugama, Ruth Cade, Anthony Cadwgan, Donna Cairney, James Calderwood, Darren Caldow, Moira Caldwell, Giorgio Calisti, Debbie Callaghan, Jennifer Callaghan, Claire Callens, Donaldson Callum, Caroline Calver, Melissa Cambell-Kelly, Tracey Camburn, David R Cameron, Eleanor Cameron, Fraser Cameron, Sarah Cameron, Sheena Cameron, Christian Camm, Renee F D Cammack, Alison Campbell, Amy Campbell, Barbara Campbell, Bridget Campbell, Debbie Campbell, Helen Campbell, Hilary Campbell, Jonathan Campbell, Mark Campbell, Robyn Campbell, Wynny Campbell, Quentin Campbell Hewson, Julie Camsooksai, Ana Canabarro, Lisa Canclini, Shaula Mae Candido, Janie Candlish, Cielito Caneja, Johnathon Cann, Ruby Cannan, Emma Cannon, Michael Cannon, Petra Cannon, Vivienne Cannons, Jane Cantliff, Ben Caplin, Santino Capocci, Noemi Caponi, Angelika Capp, Anne Capps-Jenner, Thomas Capstick, Ishmael Carboo, Nuria Cardenas, Mary Cardwell, Rachel Carey, Simon Carley, Tammy Carlin, Andrew Carlton, Samantha Carmichael, Mandy Carnahan, Rebecca Carnegie, Charlotte Caroline, Emily Carpenter, Jodi Carpenter, David Carr, Sharon Carr, Anna Carrasco, Samantha Carrington, Zoe Carrington, Paul Carroll, Caroline Carron, Anne Carstairs, Jonathan Carter, Michael Carter, Moira Carter, Paul Carter, Penny Carter, Steven Carter, Simon 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Abrar Gani, Emma-James Garden, Antoni D Gardener, Emma Gardiner, Jill Gardiner, Michael Gardiner, Phil Gardiner, Siobhan Gardiner, Caroline Gardiner-Hill, Jonathan Gardner, Mark Garfield, Atul Garg, Nathan Garlick, Justin Garner, Lucie Garner, Zoe Garner, Kimberley Garnett, Robert Garney, Rosaline Garr, Michael Garstka, Peter Gartan, Florence Garty, Rachel Gascoyne, Hyeriju Gashau, Noha Gasmalseed, Michaela Gaspar, Aoife Gatenby, Erin Gaughan, Alok Gaurav, Mariana Gavrila, Jane Gaylard, Emma Gaywood, Catherine Geddie, Alison Geddis, Ian Gedge, Sarah Gee, Minerva Gellamucho, Karzan Gelly, Leila Gelmon, Sandra Gelves-Zapata, Gemma Genato, Susan Gent, Natalie Geoghegan, Chloe George, Sam George, Tina George, Simon Georges, Domonique Georgiou, Peter Gerard, Leigh Gerdes, Louise Germain, Helen Gerrish, Abel Getachew, Louise Gethin, Hisham Ghanayem, Amardeep Ghattaoraya, Anca Gherman, Alison Ghosh, Justin Ghosh, Sudhamay Ghosh, Sarra Giannopoulou, Malick Gibani, Andrew Gibb, Ben Gibbison, Kerry Gibbons, Alex Gibson, Bethan Gibson, Kimberley Gibson, Kirsty Gibson, Sian Gibson, Cat Gilbert, Jeanette Gilbert, Joanne Gilbert, Kayleigh Gilbert, Sean Gilchrist, Benjamin Giles, Mandy Gill, Rose Gill, Lynne Gill, Paul Gillen, Annelies Gillesen, Katherine Gillespie, Matt Gillespie, Elizabeth Gillham, Andrew Gillian, Deborah Gilliland, Robert Gillott, Danielle Gilmour, Kate Gilmour, Theodora Giokanini-Royal, Anna Gipson, Joanna Girling, Rhian Gisby, Angelena Gkioni, Aikaterini Gkoritsa, Effrossyni Gkrania-Klotsas, Amy Gladwell, James Glanville, Jessica Glasgow, Susannah Glasgow, Jon Glass, Lynn Glass, Sharon Glaysher, Lisa Gledhill, Ana Glennon, John Glover, Kyle Glover, Jan Glover Bengtsson, Chevanthy Gnanalingam, Julie Goddard, Wendy Goddard, Emily Godden, Jo Godden, Gillian Godding, Emma Godson, Gerry Gogarty, Sukanya Gogoi, Aiky Goh, Rebeca Goiriz, Sriya Gokaraju, Philip Gold, Raphael Goldacre, Arthur Goldsmith, Portia Goldsmith, Darren Gomersall, Lucia Gomez, Raquel 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Jennie Hale, Carmel Halevy, Paul Halford, William Halford, Alistair Hall, Anthony Hall, Claire Hall, Elizabeth Hall, Emma Hall, Fiona Hall, Helen Hall, Jennifer Hall, Kathryn Hall, Bill Hall, Jan Hallas, Kyle Hallas, Charles Hallett, Becky-Lee Halls, Heather Halls, Maryam Hamdollah-Zadeh, Bilal Hameed, Imran Hamid, Mohamad Hamie, Bethany Hamilton, Fergus Hamilton, Leigh Hamilton, Nicola Hamilton, Ruth Hamlin, Eleanor Hamlyn, Beatrice Hammans, Shirley Hammersley, Kate Hammerton, Bev Hammond, Leah Hammond, Sara Hammond, Fiona Hammonds, Ibrahim Hamoodi, Karen Hampshire, Elizabeth Hampson, Jude Hampson, Lucy Hampson, Ozan Hanci, Ian Hancock, Sadiyah Hand, Jasmine Handford, Soran Handrean, Sarah Haney, Sheharyar Hanif, E Hanison, Alison Hanlon, Jennifer Hannah, Amy Hannington, Merhej Hannun, Aidan Hanrath, Anita Hanson, Jane Hanson, Kathryn Hanson, Steve Hanson, Helen Hanwell, Mazhar Ul Haq, Ala Haqiqi, Monjurul Haque, Lesley Harden, Zoe Harding, Simon Hardman, Joanna Hardy, Kumar Haresh, Rachel Harford, Beverley Hargadon, Carolyn Hargreaves, Emily Hargreaves, James Hargreaves, Alice Harin, Mohammed Haris, Edward Harlock, Sandra Harlow, Paula Harman, Tracy Harman, Mark Harmer, Muhammad A Haroon, Charlie Harper, Fiona Harper, Heather Harper, Melanie Harper, Peter Harper, Rosemary Harper, Sarah Harrhy, Sian Harrington, Yasmin Harrington-Davies, Jade Harris, Jess Harris, John Harris, Laura Harris, Marie-Clare Harris, Naomi Harris, Nichola Harris, Sophie Harris, Alex Harrison, David Harrison, Julie Harrison, Laura Harrison, Melanie Harrison, Rowan Harrison, Susie Harrison, Thomas Harrison, Wendy Harrison, Elizabeth Harrod, Ciaran Hart, Dominic Hart, Lisa Hartley, Rosemary Hartley, Ruth Hartley, Tom Hartley, William Hartrey, Phillipa Hartridge, Stuart Hartshorn, Heli Harvala, Alice Harvey, Angela Harvey, Max Harvey, Catherine Harwood, Helen Harwood, Brigitte Haselden, Kazi Hashem, Mohammed Hashimm, Tadaaki Hashimoto, Imranullah Hashmi, Sarah Haskins, Zena Haslam, Adil Hassan, Ali Hassan, Wagae UI Hassan, Waqar Ul Hassan, Sapna Hassasing, Jane Hassell, Philip Hassell, Alex Hastings, Bethany Hastings, Janice Hastings, Stephanie Hatch, Jonathan Hatton, Sheryl Haviland, May Havinden-Williams, Stefan Havlik, Daniel B Hawcutt, Kadean Hawes, Liz Hawes, Nicola Hawes, Annie Hawkins, Catherine Hawkins, Nancy Hawkins, Tanya Hawkins, Dan Hawley, Ed Hawley-Jones, Edward Haworth, Cathy Hay, Amna Hayat, Jamal Hayat, Mohamed-Riyal Hayathu, Tamsin Haydon, Anne Hayes, Jonas Hayes, Kate Hayes, Melony Hayes, Vanessa Hayes, Fiona Hayes, Patrick Hayle, Chloe Haylett, Antara Hayman, Melanie Hayman, Matthew Haynes, Richard Haynes, Rachel Hayre, Sarah Haysom, James Hayward, Patrick Haywood, Tracy Hazelton, Phoebe Hazenberg, Zhengmai He, Elizabeth Headon, Carrie Heal, Brendan Healy, Amy Hearn, Angela Heath, Rowan Heath, Diane Heaton, Kerry Hebbron, Gemma Hector, Andy Hedges, Katrine Hedges, Cheryl Heeley, Elaine Heeney, Rajdeep Heire, Ulla Hemmila, Cassie Hemmings, Scott Hemphill, Deborah Hemsley, Abigail Henderson, Jennifer Henderson, Steven Henderson, Lee Hennen, Kathryn Hennessy, Natalie Hennesy, Carol Ann Henry, Joanne Henry, Karol Henry, Lavinia Henry, Margo Henry, Natalie Henry, David Henshall, Mike Herbert, Gillian Herdman, Rosaleen Herdman-Grant, Morag Herkes, Emma Heron, Kay Heron, William Herrington, Emilia Heselden, Peta Heslop, Sharnie Beth Hesson, Simon Hester, Emily Hetherington, Joseph Hetherington, Chamila Hettiarachchi, Pramodh Hettiarachchi, Hayley Hewer, John Hewertson, Anna Hewetson, Sue Hewins, Jacqueline Hewitson, Claire Hewitt, Davina Hewitt, Richard Hewitt, Robert Heyderman, Nicolette Heydon, Mathis Heydtmann, Joseph Heys, Jonathan Heywood, Gareth Heywood-Beldon, Meg Hibbert, John Hickey, Naomi Hickey, Peter Hickey, Alex Hicks, Jenny Hicks, Rosie Hicks, Scott Rory Hicks, Daniel Higbee, Lucy Higgins, Andrew Higham, Martin Highcock, Judith Highgate, Mondy Hikmat, Alison Hill, Amanda Hill, Helen Hill, Joanne Hill, Lisa Hill, Martin Hill, Phoebe Hill, Uta Hill, Annette Hilldrith, Elizabeth Hillerby, Catherine Hillman-Cooper, Elisabeth Hilton, Zoe Hilton, Sarah Hinch, Marcus Hinde, Andrew Hindle, Alice Hindmarsh, Paul Hine, Kim Hinshaw, Clare Hird, Alison Hirst, Jemma Hives, Benson Ho, Michaela Hoare, David Hobden, Gill Hobden, Maria Hobrok, Simon Hobson, Renate Hodge, Simon Hodge, Lesley Hodgen, Holly Hodgkins, Louise Hodgkinson, Sally Hodgkinson, David Hodgson, Helen Hodgson, Luke Hodgson, Sheila Hodgson, Gemma Hodkinson, Kenneth Hodson, Matthew Hogben, Lucy Hogg, Lee Hoggett, Abigail Holborow, Catherine Holbrook, Catherine Holden, Melinda Holden, Thomas Holder, Niels Holdhof, Hannah Holdsworth, Lisa Holland, Maureen Holland, Nicky Holland, Marie Hollands, Elizabeth Holliday, Nina Holling, Gillian Hollis, Laszlo Hollos, Linda Holloway, Simon Holloway, Marcus Hollyer, Amy Holman, Ann Holmes, Benjamin Holmes, Megan Holmes, Raphael Holmes, Rebecca Holmes, Kelly Holroyd, Caroline Holt, Lyndsey Holt, Siobhan Holt, Susie Holt, Alexandra Holyome, Marie Home, Toni Home, Renate Homewood, Kate Hong, Laura Hontoria del Hoyo, Clare Hooper, Sarah Hoosdally, Samantha Hope, Susan Hope, Bridget Hopkins, Peter W Horby, Stephanie Horler, Anil Hormis, Daniel Hornan, Nicola Hornby, Zoey Horne, Latoya Horsford, Megan Horsford, Mark Horsford, Valana Horsham, Alexander Horsley, Ashley Horsley, Elizabeth Horsley, Sarah Horton, Nicola Horton-Turner, Jane Hosea, Toby Hoskins, Muhammad S Hossain, Rashed Hossain, Leanne Hostler, Maxine Hough, Sarah Hough, Brittany Houghton, Catherine Houghton, Iain Houghton, Kathryn Houghton, Rebecca Houlihan, Angela Houston, Hamish Houston, Tawedzegwa Hove, Roseanna Hovvels, Lee How, Laura Howaniec, Laura Howard, Linda Howard, Lucy Howard, Sarah Howard, Stuart Howard, Richard Howard-Griffin, Alison Howarth, Diane Howarth, Serena Howe, Mark Howells, Lyn Howie, Kerry Howlett, Sophie Howlett, Joanne Hoyle, Josh Hrycaiczuk, Naing Zaya Htoon, Su Htwe, Ying Hu, Chiang Ooi Huah Huah, Abby Huckle, Shahzya Huda, Alison Hudak, Lisa Hudig, Alex Hudson, Cara Hudson, Heather Hudson, Peter Hudson, Oli Hudson, Alison Hufton, Connor Huggins, Alistair Hughes, Eithne Hughes, Emma Hughes, Gareth Hughes, Heather Hughes, Luke Hughes, Rachel Hughes, Rebecca Hughes, Samantha Hughes, Stephen Hughes, Vikki Hughes, Wesley Hughes, Lukas Huhn, Ching Hui, Ruth Hulbert, Diana Hull, Grace Hull, Robert Hull, Amanda Hulme, Peter Hulme, Wendy Hulse, George Hulston, Ryan Hum, Laura Humber, Megan Hume, Charlotte Humphrey, Ismay Humphreys, Alasdair Humphries, Joanne Humphries, Lena Hunold, Fiona Hunt, Kristen Hunt, Luke Hunt, Sophie Hunt, Al Hunter, Alexandra Hunter, Isobel Hunter, Karl Hunter, Neil Hunter, George Huntington, Elizabeth Hurditch, Cian Hurley, Katrina Hurley, Mohammed A Husain, Syeda Yusra Husaini, Coralie Huson, Afreen Hussain, Ibraar Hussain, Ifza Hussain, Mohammad Hussain, Muhammad Hussain, Reda Hussain, Sajid Hussain, Samia Hussain, Sanniah Hussain, Wasim Hussain, Yasmin Hussain, Mohammed Hussam El-Din, Raheem Hussein, Rebecca Hussey, Camille Hutchinson, Dorothy Hutchinson, Elizabeth Hutchinson, John Hutchinson, Claire Hutsby, Paula Hutton, Daniella Hydes, Jamie Hyde-Wyatt, Niamh Hynes, Megan Hyslop, Mazen Ibraheim, Abdalla Ibrahim, Ahmed Ibrahim, Asil Ibrahim, Mohamed Ibrahim, Monzeer Ibrahim, Wadah Ibrahim, Adetokunbo I Idowu, Muhammad Idrees, Hina Iftikhar, Mawara Iftikhar, Chukwuemeka Igwe, Mohammad Ijaz, Amaju Ikomi, Clare Iles, Stamatina Iliodromiti, Mary Ilsley, Lorna Ilves, La'ali Imam-Gutierrez, Christopher Imray, Alison Imtiaz, Haider Imtiaz, Claire Ingall, Jack Ingham, Julie Ingham, Rory Ingham, Tejas Ingle, Jennifer Inglis, Anne Ingram, Luke Ingram, Peter Inns, Ken Inweregbu, Andreea A Ionescu, Ana Ionita, Ilian P Iordanov, Anil Ipe, Adil Iqbal, Madiha Iqbal, Mohammed Iqbal, Faisal Iqbal Sait, Jane Ireland, Robert Irons, Mohannad Irshad, Muhammad S Irshad, Janice Irvine, Val Irvine, Pamela Irving, Robert Irving, Mina Ishak, Erica Isherwood, Aminul Islam, Abdurrahman Islim, Ali Ismail, Omar Ismail, Caroline Ison, M'hamedi Israa, Sharon Isralls, Ali Issa, Monica Ivan, Catrina Ivel, Chineze Ivenso, Ashleigh Ivy, Sophie Iwanikiw, Karen Ixer, Menaka Iyer, Mia Iyer, Calum Jack, Amanda Jackson, Anthony Jackson, Ben Jackson, Beth Jackson, Douglas Jackson, Ella Jackson, Hayley Jackson, Helen Jackson, Jane Jackson, Julie Jackson, Karin Jackson, Lauren Jackson, Melanie Jackson, Nicola Jackson, Shane Jackson, Sharon Jackson, Nikita Jacob, Patricia Jacob, Reni Jacob, Nicola Jacques, Terri-Lisa Jacques-Brown, Anisa Jafar, Daniel Jafferji, Ali Jaffery, Chandrashekar Jagadish, Vijay Jagannathan, Sam Jaggard, Mandeep Jagpal, Fernandez R Jaime, Neemisha Jain, Seema Jain, Susan Jain, Sanjay Jaiswal, Danyal Jajbhay, Thomas Jaki, Bintou Jallow, Yusuf Jaly, Sabine Jamal, Zeba Jamal, Yasmin Jameel, Albie James, Christie James, Kate James, Lee James, Linda James, Mark James, Nicholas James, Olivia James, Rebecca James, Ruth James, Tracy James, Jack Jameson, Aaron Jamison, Phoebe Jane, Azara Janmohamed, Sabrina Jansz, Deepa Japp, Lorraine Jappy, Victor Jardim, Catherine Jardine, Emma Jarnell, Ellie Jarvie, Ann Jarvis, Claire Jarvis, Lisa Jarvis, Rosina Jarvis, Patrycja Jastrzebska, Hafsa Javed, Mays Jawad, Lona Jawaheer, Kauky Jawaid, Anu Jayachandran, Dinakaran Jayachandran, Angelina Jayakumar, Deepak Jayaram, Ravi Jayaram, Geeshath Jayasekera, Thilina Jayatilleke, Abi Jayebalan, Saman Jeddi, Vandana Jeebun, Mohammad S Jeelani, Zeynab Jeewa, Emma Jefferson, Katie Jeffery, Helen Jeffrey, Jenni Jeffrey, Rachel Jeffrey, Sue Jeffrey, Nathan Jeffreys, Benjamin Jeffs, Debbie Jegede, Taylor Jemima, Ifan Jenkin, Alison Jenkins, Christopher Jenkins, David Jenkins, Elinor Jenkins, Sarah Jenkins, Sian Jenkins, Stephen Jenkins, Jacqui Jennings, Louise Jennings, Rebecca Jennings, Virginia Jennings, Ellen Jerome, Douglas Jerry, Ellen Jessup-Dunton, Jorge Antonio Jesus Silva, Champa Jetha, Kishan Jethwa, Jeby Jeyachandran, Visuvanathan Jeyakumar, Dharshana Jeyapalan, Shaman Jhanji, Khoo Jian, Zhixin Jiao, Laura Jimenez, Ana Jimenez Gil, Jithin Jith, Teishel Joefield, Navraj Johal, Karine Johannessen, Aisyah Johari, Annie John, Anu John, Navin John, Sarah John, Emma Johns, Margaret Johns, Anne-Marie Johnson, Antoinette Johnson, David Johnson, Emma Johnson, Gillian Johnson, Kathryn Johnson, Katie Johnson, Luke Johnson, Mark Johnson, Nelsonseelan Johnson, Oliver Johnson, Rachel Johnson, Tracy Johnson, Zoe Johnson, Claire Johnston, Janet Johnston, Laura Johnston, Susan Johnston, Victoria Johnston, Dawn Johnstone, Ed Johnstone, Janet Johnstone, Manohar Joishy, Adam Jones, Alistair Jones, Annabel Jones, Ben Jones, Bryony Jones, Carys Jones, Ceri Jones, Charlotte Jones, Christine E Jones, Debra Jones, Emily Jones, Gareth Jones, Geraldine Jones, Hazel Jones, Jac Jones, James Jones, Jamie Jones, Jessica Jones, Jonathon Jones, Julie Jones, Karen Jones, Kate E Jones, Kevin Jones, Laura Jones, Laura M Jones, Lorna Jones, Louise Jones, Mathew Jones, Nicola Jones, Paul Jones, Rhianna Jones, Ruth E Jones, Samantha Jones, Sophie Jones, Stefanie Jones, Steve Jones, Taya Jones, Tim Jones, Tracey Jones, Ramya Jonnalagadda, Rebecca Jordache, Annette Jose, Sanal Jose, Anna Joseph, Joseph Joseph, Rosane Joseph, Sibet Joseph, Dhaara Joshi, Mehul Joshi, Pratichi Joshi, Revati Joshi, Benz Josiah, Tiffany Joyce, Adriel Ju Wen Kwek, Edward Jude, Parminder Judge, Jessica Juhl, Sirisha Jujjavarapu, Mark Juniper, Edmund Juszczak, Deepthi Jyothish, Kasamu Kabiru Dawa, Mark Kacar, Katarina Kacinova, Nikhil Kadam, Rebecca Kahari, Gail Kakoullis, Azad Kala Bhushan, Richard JK Kalayi, Roobala Kaliannan Periyasami, Efthymia Kallistrou, Seika Kalsoom, Elisa Kam, John Kamara, Mohamed Kamara, Ajay Kamath, Prakash Kamath, Ravindra Kamath, Siddharth Arun Kamerkar, Nick Kametas, Musaiwale Kamfose, Arul Kandaswamy, Leia Kane, Osei Kankam, Thogulava Kannan, Abhinav Kant, Vikas Kapil, Ritoo Kapoor, Sonal Kapoor, Sourjya Kar, Janaka Kara, Vasita Kara, Marina Karakantza, Rona Kark, Nicholas Karunaratne, Natashja Kasianczuk, Vidya Kasipandian, Rizwan Kassam, Janarth Kathirgamachelvam, Victoria Katsande, Kulbinder Kaul, Daljit Kaur, Dervinder Kaur, Jasmin Kaur, Jaspreet Kaur, Satvinder Kaur, Zunaira Kausar, Mohammad AA Kawser, Andrea Kay, Sarah Kay, Jossy N Kayappurathu, Callum Kaye, Ahemd Kazeem, Naved Kazi, Sharon Kaznica, Samantha Kearley, Rachel Kearns, Nichola Kearsley, Joanne Keating, John Keating, Liza Keating, Elizabeth Keddie-Gray, Katie Keen, Natalie Keenan, Jonathan Kefas, Stephen Kegg, Laura Keith, Uzoamaka Keke, Tosin Kelani, Joanne Kellett, Jeremy Kellington, Alison Kelly, Conor Kelly, David Kelly, Diane Kelly, Dominic Kelly, Emma Kelly, Laura Kelly, Martin Kelly, Michael Kelly, Rosalind Kelly, Sinead Kelly, Stephen Kelly, Thomas Kelly, Mary Kelly-Baxter, Marketa Keltos, Timothy Kemp, Kelly Kemsley, Alexandra Kendall-Smith, Sarah Kennard, Ann Kennedy, Caroline Kennedy, James Kennedy, Sophie Kennedy-Hay, Julia Kenny, Kelly Kent, Melanie Kent, Lynne Keogan, Alexander Keough, Clement Kerlin, A Kerr, Andrew Kerr, Maria Kerr, Caroline Kerrison, Anthony Kerry, Samantha Kershaw, Helen Kerslake, Ian Kerslake, Helen Kerss, Jocelyn Keshet-Price, Margaret Kevern, Georgina Keyte, Abdul Khadar, Ali Khalid, Muhammad U Khalid, Syed Khalid, Amir Khalil, Asma Khalil, Sijjad Khalil, Abubakar Khan, Ali Khan, Al-Imran Khan, Arham Khan, Asad Khan, Aurangzeb Khan, Burhan Khan, Camran Khan, Fatimah Khan, Kausik Khan, Malik Aamaz Khan, Marria Khan, Mehrunnisha Khan, Mohammad Khan, Mohammed Khan, Nayeem Khan, Omar Khan, Rahe Khan, Rahila Khan, Sabiya Khan, Shabana Khan, Shahul Khan, Shoaib Khan, Tasaduksultan Khan, Waseem Khan, Usman F Khatana, Jibran Khatri, Jyoti Khatri, Hafiza Khatun, Taslima Khatun, Mena Kheia, Jacyntha Khera, Htet Ei Khin, Najaf Khoja, Kiran Khokhar, Jayne Khorsandi, Chloe Khurana, Faith Kibutu, Andrew Kidd, Michelle Kidd, Joe Kidney, Shane Kidney, Will Kieffer, James Kilbane, Caroline Kilby, Eileen Killen, Susan Kilroy, Bomee Kim, Jee Whang Kim, Sarah Kimber, Andy King, Barbara King, Jennifer King, Kirsten King, Rachel King, Sarah King, Tony King, Victoria King, Emily King-Oakley, Laura Kingsmore, Andy King-Venables, Fiona Kinney, Sidra Kiran, Jeremy Kirk, Jodie Kirk, Daniel Kirkbride, Amy Kirkby, Ian Kirker, Emily Kirkham, Gemma Kirkman, Ursula Kirwan, Kelly Kislingbury, Toby Kitching, Laura Kitto, Lauren Kittridge, Sarah Klaczek, Frieder Kleemann, Susan Kmachia, Chris Knapp, Lucy Knibbs, Alicia Knight, Fraser Knight, Marian Knight, Sarah Knight, Steven Knight, Tom Knight, Ellen Knights, Jane Knights, Toby Knights, Martin Knolle, Carol Knott, Charlotte Knowles, Karen Knowles, Laurence Knowles, Emily Knox, Lucy Knox, Oliver Koch, Ronan Kodituwakku, Gouri Koduri, Aisha Koirata, Eirene Kolakaluri, Magdalena Kolodziej, Eirini Kolokouri, Keith Kolsteren, Samantha Kon, Niladri Konar, Mari Kononen, Athanasios Konstantinidis, Hui Fen Koo, Imogen Koopmans, Emmanuela Kopyj, Laura Korcierz, James Korolewicz, George Koshy, Chris Kosmidis, Jalpa Kotecha, Easwari Kothandaraman, Leonidas Koukouflis, Koushan Kouranloo, Rukhsana Kousar'c, Margarita Kousteni, Maja Kovac, Alex Kozak Eskenazia, Kestutis Krasauskas, Raghu Krishnamurthy, Vinodh Krishnamurthy, Manju Krishnan, Hari Krishnan, Suzanne Krizak, Sean Krupej, Agnieszka Kubisz-Pudelko, Soren Kudsk-Iversen, Aurimas Kudzinskas, Chirag Kukadiya, Nainesha Kulkarni, Aditi Kumar, Mayur Kumar, Ramesh Kumar, Ravi Kumar, Rita Kumar, Rupa Kumar, Satish Kumar, Vimal Kumar, Arun Kundu, Heinke Kunst, Amit Kurani, Mohammed Kurdy, Rincy Kurian, Vimal Kurmars, Cameron Kuronen-Stewart, Ranganai S Kusangaya, Vlad Kushakovsky, Mandy Kuunal, Apexa Kuverji, Amma Kyei-Mensah, Thyra Kyere-Diabour, Moe Kyi, Nyan M Kyi, Laura Kyle, Karali-Tsilimpari Kyriaki, Julius Labao, Louise Lacey, Nikki Lack, Emma Ladlow, Heather Lafferty, Shondipon Laha, Sushil Lahane, Clement Lai, James Lai, Emma Laing, Robert Laing, Inez Laing-Faiers, Emily Laity, Michelle Lake, Nicki Lakeman, David Lalloo, Fiona Lalloo, Alison Lam, Fiona Lamb, Lucy Lamb, Thomas Lamb, Nick Lambe, Pauline Lambert, Claudia Lameirinhas, Mohammed KG Lami, Abigail Lamikanra, Holly Lamont, Michal Lamparski, Djillali Lamrani, Christine Lanaghan, Rebecca Lanaway, Ivone Lancona-Malcolm, Julia Lancut, Geraldine Landers, Martin J Landray, Matthew Lane, Nicholas Lane, Alidih Lang, Stephen Lang, Daniel Langer, Margaret Langley, Charles Langoya, Emily Langthorne, Taiya Large, Wojciech Lason, Anna Last, Scott Latham, John Latham-Mollart, Afzal Latheef, Darren Latimer, Nang Latt, Carly-Jane Lattimore, Dawn Lau, Eva Lau, Myra Laurenson, Hou Law, Jennifer Law, Jessica Law, Penny Law, Richard Law, Colin Lawler, Mark Lawley, Emma Lawrence, Jo Lawrence, Neil Lawrence, Ryan Lawrie, Jemima Lawson, Joanne Lawson, Louise Lawson, Rebecca Lawton, Michael Lay, Christine Laycock, Reina Layug, Maria Lazo, Vietland Le, Amelia Lea, William Lea, Ian Leadbitter, Thomas Leahy, Richard Lean, Lorna Leandro, Darren Leaning, Sandra Leason, Christina Leaver, Marie Anne Ledingham, Emma Lee, Hannah Lee, Irish Lee, Judith Lee, Sam Lee, Shi Han Lee, Simon Lee, Sindy Lee, Stephanie Lee, Tracey Lee, Xiang Lee, Diana Lees, Jennifer Lees, Helen Legge, Julian Leggett, Katie Leigh-Ellis, Kevan Leighton, Nicky Leitch, Eleni Lekoudis, Petula Lemessy, Nicholas Lemoine, Joana Lemos, Irina Lenchuk, Katy Leng, Katrina Lennon, Liz Lennon, Isabel Lentell, Kelly Leonard, Wen Leong, Nicky Leopold, Oskar Lepiarczyk, Isla Leslie, Eleni Lester, Joe Leung, Ullrich Leuschner, Emma Levell, Chris Levett, Alice Lewin, Michaela Lewin, Alison Lewis, David Lewis, Dee Lewis, Georgina Lewis, Gillian Lewis, Joanne Lewis, Joseph Lewis, Kathryn Lewis, Keir Lewis, Leon Lewis, Lisa Lewis, Marissa Lewis, Rob Lewis, Robert Lewis, Catherine Lewis-Clarke, Lorraine Lewis-Prosser, Katherine Lewiston, Adam Lewszuk, Penny Lewthwaite, Samantha Ley, Anna Li, Jenny Li, Angela Liao, Victoria Licence, David Lieberman, Susan 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Kaatje Lomme, Emily London, Gabriella Long, Natalie Long, Bev Longhurst, Mark Longshaw, Jennifer Lonnen, Caroline Lonsdale, Laura Looby, Ronda Loosley, Paola Lopez, Paula Lopez, Robert Lord, Stuart Lord, Laura Lordache, Kieron Loregnard, Catherine Lorenzen, Claire Lorimer, Francesco Loro, Rachel Lorusso, Eva Loutraris, Robert Loveless, Maxine Lovell, Angeliki Loverdou, Huw Lovett, Daniel Loveys, Andrew Low, Jen Mae Low, Alastair Lowe, Caroline Lowe, Catherine Lowe, Emily Lowe, Faye Lowe, Michael Lowe, Linda Lowrey, Richard Lowsby, Vicki Lowthorpe, Emma Loxley, Gamu Lubimbi, Alexandra Lubina Solomon, Georgia Lucas, Jacob Lucas, Alice Lucey, Olivia Lucey, Suzanne Luck, H Luke, Jane Luke, Hayley Lund, Apurva Lunia, Muriel Lunn, Ji Luo, Julia Lussier, Cindy Nisha Luximon, Elisa Ly, Barrie Lyell, Elisavet Lyka, Sarah Lymn, Audrey Lynas, Ceri Lynch, Daniel Lynch, Daniella Lynch, Stephen Lynch, Helen Lyon, Rea-Grace Maamari, Hannah Mabb, Louies Mabelin, Jessica Macaro, Angela Macauley, Kateryna Macconaill, Chloe Macdonald, Stuart MacDonald, Tania MacDonald, Claire Macfadyen, James G Macfarlane, Jill Macfarlane, Laura Macfarlane, Cara MacGuigan, Lisa MacInnes, Iain MacIntyre, Jill MacIntyre, Kirsten Mack, Callum Mackay, Euan Mackay, Laura Mackay, Alexander Mackenzie, Matt Mackenzie, Robert MacKenzie Ross, Ami Mackey, Patricia Mackey, Fiona Mackie, Robert Mackie, Carolyn Mackinlay, Claire Mackintosh, Katherine Mackintosh, Sheila MacLennan, Mary Joan MacLeod, Michael Macmahon, Andrew MacNair, Catherine Macphee, Iain Macpherson, Catriona Macrae, Allan MacRaild, Eilidh MacVean, Alannah Madden, Mary Madden, Norman Madeja, Karen Madgwick, Pradeep Madhivathanan, Madhavi Madhusudhana, Harriet Madiyiko, Alpha Madu, Lorraine Madziva, Marion Mafham, Nick Magee, Frederick Magezi, Tim Maggs, Negar Maghsoodi, Christopher Magier, Marios Magriplis, Kathryn Maguire, Natasha Mahabir, Subramanian Mahadevan-Bava, Anjanie Maharajh, Ajit Mahaveer, Bal Mahay, Kanta Mahay, Hibo Mahdi, 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Margarit, Georgios Margaritopoulos, Mike Margarson, Fernandez M Maria del Rocio, Teresa Maria Pfyl, Victor Mariano, Helen Maria-Osborn, Ashleigh Maric, Grace Markham, John Markham, Maria Marks, Pamela Marks, Elisabeth Marouzet, Arran Marriott, Cheryl Marriott, Nemonie Marriott, Brian Marsden, Karen Marsden, Paul Marsden, Sarah Marsden, Tracy Marsden, Robyn Marsh, Adam Marshall, Andrew Marshall, Gail Marshall, Henry Marshall, Jaimie Marshall, James Marshall, Jenna Marshall, Nicola Marshall, Riley Marshall, Jennifer Marshall, Samantha Marston, Emmeline Martin, Hayley Martin, Hope Martin, Jane Martin, Karen Martin, Kate Martin, Laila Martin, Michael Martin, Noelia Martin, Tim Martin, Winston Martin, Sarah Martin, Tim Martindale, Marcus Martineau, Alexander Martinez, Lauren Martinez, Jose Carlos Martinez Garrido, Juan Martin-Lazaro, Olivia Martins, Lucas Martins Ferreira, Vijay Kumar Maruthamuthu, Gemma Maryan, Roman Mary-Genetu, Sam Maryosh, Vidan Masani, Diego Maseda, Sheila Mashate, 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McEleavy, Julie McEnerney, Julie McEntee, Evanna McEvoy, Ruth McEwen, Margaret McFadden, Denise McFarland, Margaret McFarland, Rachel McFarland, Erin McGarry, Lorcan McGarvey, Margaret McGarvey, Clodagh McGettigan, Michael McGettrick, Christopher McGhee, Fiona McGill, Sarah McGinnity, Hannah McGivern, Neil McGlinchey, Phil McGlone, Deborah McGlynn, Claire McGoldrick, Clare McGoldrick, Elizabeth McGough, Margaret McGovern, Brendan McGrath, Amanda McGregor, Annemarie McGregor, Cathryn McGuinness, Heather McGuinness, Sean McGuire, Tara McHugh, Caroline McInnes, Neil McInnes, Karen McIntyre, Mhairi McIntyre, Carolyn McKay, Lorna McKay, Conor P McKeag, Madeleine McKee, Joseph McKeever, Shirley McKenna, Donogh McKeogh, Denise Mckeown, Caroline McKerr, Anthony M McKie, Claire Mckie, Laura Mckie, Gerard McKnight, Heather McLachlan, Andrew McLaren, Barbara McLaren, Nicola McLarty, Maria McLaughlin, James McLay, Mary McLeish, Tina McLennan, Lorna McLintock, Stewart McLure, Amanda McMahon, Anne 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Nagarajan, Imrun Nagra, Deepak Nagra, Mina Naguib, Kirushthiga Naguleswaran, K Shonit Nagumantry, Kevin Naicker, Sarveshni Naidoo, Gireesha Naik, Rishi Naik, Samir Naik, Devu S Nair, Rajiv Nair, Tanushree Nair, Jay Naisbitt, Kerry Naismith, Sri Nallapareddy, Soum Nallapeta, Arumugan Nallasivan, Uttam Nanda, Aarti Nandani, Ali Raza Naqvi, Asadullah Naqvi, Sara Naqvi, Shruthi Narayan, Sophia Nasa, Dominic Nash, Nader Nasheed, Abdul Nasimudeen, Umer Nasir, Marwan Nassari, Tahir Nasser, Anushka Natajaran, Anuja Natarajan, Geetha Natarajan, Nalin Natarajan, Nikhila Natarajan, Rajkumar Natarajan, Noel Nathaniel, Mala Nathvani, Priyan Nathwani, George Nava, Neena Navaneetham, Jeya Navaratnam, Helen Navarra, Sadaf Naveed, John Navin, Khuteja Nawaz, Sarfaraz Nawaz, Shasta Nawaz, Bonilla Nayar, Suzanne Naylor, Moez Nayyar, Farrah Naz, Mobeena Naz, Salima Nazarali, Babak Nazari, S Nazir, Sehar Nazir, Dumisani Ncomanzi, Onyine Ndefo, Alan Neal, Elaine Neary, Mostafa Negmeldin, Paula Neill, Hector 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Tanaraj Perinpanathan, Lakshmi Periyasamy, Francesca Perkins, Rachel Perkins, Elizabeth Perritt, Alison Perry, Emily Perry, Meghan Perry, Terrie Perry, Thomas M Perumpral, Guilherme Pessoa-Amorim, Ruth Petch, Lionel Peter, Cecilia Peters, Craig Peters, Jayne Peters, Mark Peters, Steve Peters, Tim Peters, Remy Petersen, Alexandra Peterson, Leon Peto, Iulia Petras, Ilianna Petrou, Boyanka Petrova, Mirela Petrova, Paul Pfeffer, Mysore Phanish, Paul Phelan, Christopher Philbey, Jennifer Philbin, Neil Philips, Alex Phillips, Danielle Phillips, Dylan Phillips, Karen Phillips, Pat Phillips, Rachael Phillips, Katherine Philpott, Marie Phipps, Virach Phongsathorn, Mandeep Phull, Masroor M Phulpoto, Myat TT PI, Sara Pick, James Pickard, Charlotte Pickering, Gillian Pickering, Thomas Pickett, Hayleah Pickford, Joanna Pickles, Benjamin Pickwell-Smith, Natalia Pieniazek, Charlie Piercy, Angelo Pieris, Samia Pilgrim, Paul Anthony Pillai, Zoe Pilsworth, Heather Pinches, Stacey Pinches, Julia Pinder, 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Raj, Pradeep Rajagopalan, Nithy Rajaiah, Arvind Rajasekaran, Aylur Rajasri, Thurkka Rajeswaran, Jyothi Rajeswary, Jeyanthy Rajkanna, Gayathri Rajmohan, Ruth Rallan, David Ralphs, Katherine Ralston, Maximilian Ralston, Matsa Ram, Balaji Ramabhadran, Fathima Ramali, Mohamed Ramali, Athimalaipet Ramanan, Shashikira Ramanna, Maheshi Ramasamy, Dhanishta Ramdin, Jozel Ramirez, Mylah Ramirez, Geshwin Ramnarain, Lidia Ramos, Shanthi Ramraj, Alex Ramshaw, Aleem Rana, Ghulam F Rana, Rehman Rana, Abby Rand, James Rand, Helen Randall, Harpal Randheva, Poonam Ranga, Manmeet Rangar, Harini Rangarajan, Sameer Ranjan, Poormina Ranka, Rajesh Rankhelawon, Haley Ranton, Anita Rao, Sandhya Rao, Sanjay Rao, Deepak Rao, Anuja Rasarathnam, Alia Rashid, Khalid Rashid, Simbisai Ratcliff, Sam Ratcliffe, Sophy Ratcliffe, Sanjeev Rath, Mohmad I Rather, Selina Rathore, Aravinden Ratnakumar, Jonathan Ratoff, Deepa Rattehalli, Jason Raw, Hywel Rawlins, Gautam Ray, Michelle Ray, Adam Raymond-White, Dana Raynard, 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Robinson, Kate Robinson, Katie Robinson, Matthew Robinson, Ryan Robinson, Sandra Robinson, Stacey Robinson, Steve Robson, Lisa Roche, Samantha Roche, Jennifer Rock, Natalie Rodden, Alistair Roddick, Jack Roddy, Marion Roderick, Alison Rodger, Faye Rodger, Megan Rodger, Alicia Rodgers, Deirdre Rodgers, Natasha Rodgers, Penny Rodgers, Vanessa Rodrigues, Rocio Rodriguez-Belmonte, Nicholas Roe, Charles Roehr, Gill Rogers, Jason Rogers, Joanne Rogers, John Rogers, Leigh Rogers, Lindsay Rogers, Louise Rogers, Michaela Rogers, Paula Rogers, Susan Rogers, Thomas Rogers, Sakib Rokadiya, Lee Rollins, Jennifer Rollo, Catherine Rolls, Atal Roman, Claire Rook, Rashmi Rook, Kevin Rooney, Lynsey Rooney, Gemma Roper, Lace P Rosaroso, Alastair Rose, Annie Rose, David Rose, Rachel Rose, Steve Rose, Vikkie Rose, Zoe Rose, Josephine Rosier, Jack Ross, Jenny Rossdale, Andrew Ross-Parker, Alex Rothman, Joanne Rothwell, Lindsay Roughley, Kathryn Rowan, Neil Rowan, Stephen Rowan, Scott Rowan-Ferry, Anna Rowe, Louise Rowe-Leete, Benjamin Rowlands, Megan Rowley, Aparajita Roy, Subarna Roy, Anna Roynon-Reed, Sam Rozewicz, Alison Rudd, Anna Rudenko, Senthan Rudrakumar, Banu Rudran, Shannon Ruff, Prita Rughani, Sharon Rundell, Jeremy Rushmer, Rosemary Rushworth, Darren Rusk, Peter Russell, Richard Russell, Cristina Russo, Marieke Rutgers, Aidan Ryan, Brendan Ryan, Lucy Ryan, Matthew Ryan, Pat Ryan, Phil Ryan, Declan Ryan-Wakeling, Nick Rylance, M Saad, Javeson Sabale, Suganya Sabaretnam, Umar Sabat, Noman Sadiq, Emma Sadler, Maria-Isabel Saez-Garcia-Holloway, Ashiq Saffy, Beth Sage, Harkiran Sagoo, Sobia Sagrir, Rajnish Saha, Sian Saha, Nikhil Sahdev, Sarvjit Sahedra, Jagdeep Sahota, Nooria Said, Sreekanth Sakthi, Hikari Sakuri, Murthy Saladi, Abdul Salam, Sofiyat Salawu, Armorel Salberg, Erika Salciute, Gina Saleeb, Mumtaz Saleh, Hizni Salih, Laylan Salih, Sarah Salisbury, SiteEneye Saliu, Rustam Salman, Angela Salmon, Jenny Salmon, Nichola Salmons, Dario Salutous, Mfon Sam, Sally Sam, Tinashe Samakomva, Renaldo Samlal, Emily Sammons, David Sammut, Mark Sammut, Zoe Sammut, Sunitha Sampath, Claire Sampson, Julia Sampson, Aashna Samson, Anda Samson, Johnson Samuel, Lorraine Samuel, Merna Samuel, Reena Samuel, Thomas DL Samuel, Younan Samuel, Elsward Samuels, Theo Samuels, Joanna Samways, Manjula Samyraju, Francisco San Diego, Ilves Sana, Veronica Sanchez, Amada Sanchez Gonzalez, Alina Sanda-Gomez, Paul Sandajam, Peter Sandercock, Amy Sanderson, Colleen Sanderson, Tom Sanderson, Kuljinder Sandhu, Loveleen Sandhu, Sam Sandow, Victoria Sandrey, Sarah Sands, Mirriam Sangombe, Mathew Sanju, Filipa Santos, Rojy Santosh, Jayanta Sanyal, Aureo F Sanz-Cepero, Dinesh Saralaya, Arun Saraswatula, Joshua Sarella, Avishay Sarfatti, Rebecca Sargent, Beatrix Sari, Khatija Sarkar, Rahuldeb Sarkar, Sruthi Sarma, Zainab Sarwar, Thea Sass, Sonia Sathe, Sobitha Sathianandan, Abilash Sathyanarayanan, Lavanya SJP Sathyanarayanan, Thozhukat Sathyapalan, Prakash Satodia, Vera Saulite, Andrew Saunders, Rachel Saunders, Samantha Saunders, Anne Saunderson, Heather Savill, Karishma Savlani, Gauri Saxena, Matthew Saxton, Amrinder Sayan, Diane Scaletta, Marta Scally, Deborah Scanlon, Jeremy Scanlon, Lyndsay Scarratt, Sean Scattergood, Alvin Schadenberg, Wendy Schneblen, Rebecca Schofield, Samuel Schofield, David Scholes, Karen Scholes, Alex Schoolmeesters, Natasha Schumacher, Nicola Schunke, Martin Schuster Bruce, Karin Schwarz, Antonia Scobie, Tim Scorrer, A. Scott, Alistair Scott, Anne Scott, Catherine Scott, Christine Scott, Emily Scott, Graham Scott, Kathyn Scott, Leanne Scott, Martha Scott, Michelle Scott, Stephen Scott, Timothy Scott, Sarah Scourfield, Wendy Scrase, Angela Scullion, Therese Scullion, Richard Seabury, Emily Seager, Cathy Seagrave, Deborah Seals, Rebecca Seaman, Eleanor Sear, Isabella Seaton, Anna Seckington, Joanna Sedano, Deborah Seddon, Gabrielle Seddon, Muhammad A Seelarbokus, Christopher Sefton, Matias Segovia, Fatima Seidu, Gillian Sekadde, Mallika Sekhar, Faye Selby, Georgina Selby, Jo Sell, Claire Sellar, Katharine Sellers, Joseph Selley, Victoria Sellick, Gobika Selvadurai, Brintha Selvarajah, Haresh Selvaskandan, Subothini S Selvendran, Gary Semple, Nandini Sen, Seema Sen, Aditya Sengupta, Niladri Sengupta, Helen Senior, Peter Senior, Susana Senra, HoJan Senya, Niranjan Setty, Abigail Seward, Teswaree Sewdin, Jack Seymour, Hussam Shabbir, Tracey Shackleton, Fiona Shackley, Tariq Shafi, Aashni Shah, Ahmar Shah, Anand Shah, Bhavni Shah, Momin Shah, Neil Shah, Pallav Shah, Priyank Shah, Qasim Shah, Sarfaraz H Shah, Snehal Shah, Suraj Shah, Syed Shah, Wajid Shah, Saarma Shahad, Sousan Shahi, Sipan Shahnazari, Muhammad Shahzeb, Aisha Shaibu, Zara Shaida, Amina Y Shaikh, Maliha Shaikh, Rajit Shail, Mariya Shaji, Muhammad Shakeel, Korah Shalan, Nadia Shamim, Kazi Shams, Alison Shanahan, Thomas Shanahan, Shaminie Shanmugaranjan, Hamed Sharaf, Muhammad Sharafat, Asir Sharif, Ajay Sharma, Akhilesh Sharma, Ash Sharma, Bhawna Sharma, Mona Sharma, Ojasvi Sharma, Poonam Sharma, Rajeev Sharma, Sanjeev Sharma, Sarkhara Sharma, Shriv Sharma, Sonal Sharma, Alexander Sharp, Charles Sharp, Gemma Sharp, Paula Sharratt, Phoebe Sharratt, Katherine Sharrocks, Emma Sharrod, Christopher Shaw, Daisy Shaw, David Shaw, Deborah Shaw, Joanne Shaw, Jonathan Shaw, Lisa Shaw, Tomos G Shaw, Anna Shawcross, Jill Shawe, Lou Shayler, Khuram Shazad, Sophy Shedwell, Jonathan Sheffield, Zak Shehata, Arshiya Sheik, Asif Sheikh, Noorann Sheikh, Laura Sheldon, Benjamin Shelley, Sarah Shelton, Anil Shenoy, Julie Shenton, Amy Shepherd, Kate Shepherd, Lorna Shepherd, Scott Shepherd, Rhian Sheppeard, Helen Sheridan, Ray Sheridan, Samuel Sherridan, Leanne Sherris, Susanna Sherwin, Shaad Shibly, Roger Shiers, Chiaki Shioi, Anand Shirgaonkar, Kim Shirley, Adebusola Shonubi, Angela Short, Richard Shortland, Rob Shortman, Rohan Shotton, Sarah Shotton, Ervin Shpuza, Nora Shrestha, Karen Shuker, Jack Shurmer, Gilbert Siame, Loria Siamia, Zanele Sibanda, Claire Sidaway, Seshnag Siddavaram, Nasir Siddique, Sohail Siddique, Nyma Sikondari, Claudia Silva Moniz, Mike Silverstone, Malcolm Sim, Theresa Simangan, Vimbai Simbi, Robert Sime, Oliver Simmons, Richard Simms, Merritt Simon, Natalie Simon, Angela Simpson, Anna Simpson, Danny Simpson, Georgina Simpson, Joanne Simpson, John Simpson, Kerry Simpson, Phillip Simpson, Thomas Simpson, Andrew Simpson, Kathryn Simpson, Cindy Sing, Ankita Singh, Claire Singh, Jayaprakash Singh, Jyoti Singh, Lokeshwar Singh, Manjeet Singh, Nadira Singh, Pankaj Singh, Prabhsimran Singh, Salil Singh, Saurabh Singh, Parag Singhal, Bryan Singizi, Manas Sinha, Utkarsh Sinha, Guy Sisson, Sarah Sithiravel, Karthikadevi Sivakumar, Shanmugasundaram Sivakumar, Darsh Sivakumran, Sivanthi Sivanadarajah, Pasupathy-Rajah Sivasothy, Rebecca Sivers, Alison Sivyer, Nicole Skehan, Robert Skelly, Orlagh Skelton, Imogen Skene, Michael J Skill, Denise Skinner, Tabitha Skinner, Victoria Skinner, Agnieszka Skorko, Iwona Skorupinska, Mariola Skorupinska, Amy Slack, Katie Slack, Wendy Slack, Heather Slade, Helen Slade, Mark Slade, Helen Slater, Lynda Slater, Nicola Slawson, Andrew Sloan, Brendan Sloan, Derek Sloan, Geraldine Sloane, Benjamin Small, Ellen Small, Emma Small, Samuel Small, Karen D Smallshaw, Andy Smallwood, Carien Smit, Aileen Smith, Alex Smith, Amanda Smith, Amy Smith, Andrew Smith, Anna Smith, Camilla Smith, Catherine Smith, Chris Smith, Christopher Smith, Dominic Smith, Eleanor Smith, Harriet Smith, Hazel Smith, Helen Smith, Jacky Smith, Janice Smith, Jessica Smith, Juliet Smith, Karen Smith, Kate Smith, Kathryn Smith, Katie Smith, Kelly Smith, Kerry Smith, Lara Smith, Linda Smith, Lisa Smith, Loren Smith, Maria Smith, Mel Smith, Oliver Smith, Rachel Smith, Rebecca Smith, Richard Smith, Ruth Smith, Sally Smith, Samantha Smith, Stacey Smith, Stephanie Smith, Susan Smith, Imogen Smith, John Smith, Gemma Smithson, Sue Smolen, Sara Smuts, Naoise Smyth, Annette Snell, David Snell, Luke Snell, Beng So, Michelle Soan, Toluleyi Sobande, Alberto Sobrino Diaz, Basit Sohail, Bina Sohail, Herminder Sohal, Roy Soiza, Mary Sokolowski, Olajumoke Solademi, Krishma Solanki, Babak Soleimani, Amanda Solesbury, Reanne Solly, Louise Solomon, Subash Somalanka, Chandrashekaraiah Somashekar, Raj Sonia, Shiu-Ching Soo, Deepti Sood, Pavandeep Soor, Germanda Soothill, Jennifer Soren, Youssef Sorour, Apina Sothinathan, Pragalathan Sothirajah, Najwa Soussi, Donna Southam, David Southern, Iain Southern, Louise Southern, Sara M Southin, Jessica Southwell, Thomas Southworth, Jason Sowter, Claudia Spalding, Enti Spata, Katie Spears, Mark Spears, John Spence, Michelle Spence, Branwell Spencer, Gisele Spencer, Sue Spencer, Tom Spencer, Helen Spicer, Rose Spicer, Helen Spickett, Jennifer Spillane, William Spiller, Kerry Spinks, Michelle Spinks, Nick Spittle, Johanna Sporrer, Karen Spreckley, Janet Spriggs, Oliver Spring, Scott Springworth, Gemma Squires, Jack Squires, Rebecca Squires, Ram Sreenivasan, K Sri Paranthamen, Ramesh Srinivasan, Asha Srirajamadhuveeti, Vino Srirathan, Chloe Stacey, Sybil Stacpoole, Louise Stadon, Tony Staincliffe, Jocasta Staines, Nikki Staines, Katie Stammers, Roxana Stanciu, Grazyna Stanczuk, Helen Stannard, Edward Stanton, Robyn Staples, Simon Stapley, Natalie Staplin, Adam Stark, Michelle Starr, Julie Staves, Rached Stead, Anthea Steel, Charlotte Steel, Conor Steele, John Steer, Vergnano Stefania, Paula Stefanowska, Katie Steinert, Caroline Stemp, Alison Stephens, David Stephensen, Elaine Stephenson, Monique Sterrenburg, Georgia Stevens, Guy Stevens, Melanie Stevens, Will Stevens, Amy Stevenson, Andrew Stevenson, Elaine Stevenson, Lesley Stevenson, Sarah Stevenson, Amanda Stewart, Claire Stewart, Colin Stewart, McKenna Stewart, Rachel Stewart, Rebecca Stewart, Richard Stewart, Jo Stickley, Gemma Stiller, Robert Stirk, Sarah Stirrup, Sarah Stock, Alexander Stockdale, Lynne Stockham, Paul Stockton, Emma Stoddard, Chris Stokes, Ben Stone, Roisin Stone, Sarah Stone, Imogen Storey, Kim Storton, Frederick Stourton, Angela Strachan, Catherine Strait, Ellen Strakosch, Emma Stratton, Jane Stratton, Sam Straw, Luke Streeter, Dieter Streit, Emma Stride, Sally Stringer, Sophia Strong-Sheldrake, Siske Struik, Carmel Stuart, Anna Stubbs, Harrison Stubbs, Ann Sturdy, Sharon Sturney, Matt Stuttard, Cristina Suarez, Karuna Subba, Christian P Subbe, Manjula Subramanian, Venkatram Subramanian, Chinari Subudhi, Rebecca Suckling, Srivatsan Sudershan, Lee Sudlow, Gayle Sugden, Peter Sugden, Rudresh Sukla, Ali Suliman, Fatimah Suliman, Ian Sullivan, Sugrah Sultan, Jennifer Summers, Mark Summerton, Samyukta Sundar, Reka Sundhar, Edmond Sung, Nadia Sunni, Jay Suntharalingam, Amitava Sur, Dharmic Suresh, Shilpa Suresh, Rachel Suri, Michael Surtees, Danielle Suter, Helen Sutherland, Rachel Sutherland, Rebecca Sutherland, Dovile Sutinyte, Deborah Sutton, John Sutton, Sam Sutton, Mihaela Sutu, Marie-Louise Svensson, Sima Svirpliene, Andrew Swain, Thomas Swaine, Christopher Swales, Lorna Swan, Nicola Swarbrick, Tirion Swart, Stephen Sweetman, Samaher Sweity, Ealish Swift, Paul Swift, Pauline Swift, Peter Swift, Rachael Swift, Rachel Swingler, Sophie Swinhoe, Katarzyna Swist-Szulik, Luke Swithenbank, Omair Syed, Catriona Sykes, Daisy Sykes, Eliot Sykes, Luke Sylvester, Dominic Symon, Andrew Syndercombe, Zoe Syrimi, Jen Syson, Gemma Szabo, Tamas Szakmany, Megan Szekely, Matthew Szeto, Maria Tadros, Amr Tageldin, Lucy Tague, Hasan Tahir, Muhammad Tahir, Silvia Taibo, Zsofia Takats, Abigail Takyi, Peter Talbot, Alison Talbot -Smith, James Talbot-Ponsonby, Richard Tallent, Bradley Tallon, Phoebe Tamblin-Hopper, Adrian Tan, Bee T Tan, Hock Tan, Huey Tan, Jade Tan, Keith Tan, WeiTeen Tan, Anand Tana, Xiaohui Tang, Christina Tanney, Tabitha Tanqueray, Emma Tanton, Ran Tao, Mark Taplin, Hayley Tarft, Priyal Taribagil, Obaid Tarin, Syed Tariq, Zeeshan Tariq, David Tarpey, Lisa Tarrant, Antonia Tasiou, Elizabeth Tatam, Margaret L Tate, Kate Tatham, Vera Tavoukjian, Alexander Taylor, Beverley Taylor, Brian Taylor, Charlie Taylor, Charlotte Taylor, David Taylor, Elisabeth Taylor, Janet Taylor, Jennifer Taylor, Joanne Taylor, Julie Taylor, Karen Taylor, Leanne Taylor, Margaret Taylor, Matthew Taylor, Melanie Taylor, Natalie Taylor, Rachael Taylor, Rachel Taylor, Samantha Taylor, Suzanne Taylor, Tina Taylor, Tracey Taylor, Vicky Taylor, Michelle Taylor-Siddons, Thomas Taynton, Amelia Te, Jessica Teasdale, Julie Tebbutt, Caroline Tee, Rajni Tejwani, Seble Tekle, Adam Telfer, Vibha Teli, Jennifer Tempany, Holly Templar, Julie Temple, Natalie Temple, Helen Tench, Yi He Teoh, Lynne Terrett, Louise Terry, Abbi Tervit, Dariusz Tetla, Kate Tettmar, Shirish Tewari, Daniel Tewkesbury, Joana Texeira, ChiaLing Tey, Clare Thakker, Manish Thakker, Amirtharajh Tharmakulasingam, Hilary Thatcher, Andrew Thayanandan, Krishna Thazhatheyil, Eaint Thein, Lambrini Theocharidou, Phyu Thet, Kapeendran Thevarajah, Mayooran Thevendra, Nang Thiri Phoo, Yvette Thirlwall, Muthu Thirumaran, Alice Thomas, Andrew Thomas, Caradog Thomas, Emma Thomas, Enson Thomas, Esther Thomas, Hannah Thomas, Helen Thomas, James Thomas, Karen Thomas, Koshy Thomas, Lucy Thomas, Rachel Thomas, Rebecca Thomas, Rhys Thomas, Ruth Thomas, Samantha Thomas, Sarah Thomas, Sherine Thomas, Tessy Thomas, Vicky Thomas, Rhian Thomas-Turner, Samantha Thomas-Wright, Catherine Thompson, Christopher Thompson, Clara Thompson, Fiona Thompson, Katharine Thompson, Laura Thompson, Liz Thompson, Luke Thompson, Michael Thompson, Orla Thompson, Rebecca Thompson, Roger Thompson, Trevor Thompson, Usilla Thompson, Nicola Thomson, Natasha Thorn, Charlotte Thorne, Nicola Thorne, Wendy Thorne, Jim Thornton, Michael Thornton, Richard Thornton, Sara Thornton, Susan Thornton, Thomas Thornton, Tracey Thornton, Allison Thorpe, Christopher Thorpe, Sarah Thorpe, Paradeep Thozthumparambil, Laura Thrasyvoulou, Hannah Thraves, Elisha Thuesday, Vicky Thwaiotes, Guy Thwaites, Simon Tiberi, Jane Tidman, Serena Tieger, Carey Tierney, Caroline Tierney, Mark Tighe, Sorrell Tilbey, Amanda Tiller, John Timerick, Elizabeth Timlick, Alison Timmis, Hayley Timms, Anne-Marie Timoroksa, Samakomva Tinashe, Heather Tinkler, Marianne Tinkler, Jacqui Tipper, Helen Tivenan, Helen T-Michael, Anne Todd, Jackie Todd, Stacy Todd, Mohamed Tohfa, Helena Tollick, Melanie Tolson, Ana Luisa Tomas, Natalia Tomasova, Sharon Tomlin, Simon Tomlins, Jo Tomlinson, James Tonkin, Ivan Tonna, Catherine Toohey, Kirsty Topham, Mathew Topping, Ruhaif Tousis, Peter Tovey, Gareth Towersey, Jason Towler, Jill Townley, Alain Townsend, Chris Townsend, Richard Tozer, Claire Tranter, Helen Tranter, Jonathan Trattles, Christopher Travill, Sarah Traynor, Karis Treuberg, Mike Trevett, Ascanio Tridente, Sanchia Triggs, Fiona Trim, Thomas Trimble, Alex Trimmings, Tom Trinick, Sven Troedson, Emily Tropman, Amy Trotter, Madeleine Trowsdale Stannard, Nigel Trudgill, Maria Truslove, Shaun Trussell, Tariq Trussell, Sara Tryon, Kyriaki Tsakiridou, Christine Tsang, Hoi Pat Tsang, Peter Tsang, Tan Tsawayo, Kyriaki Karali Tsilimpari, Georgios Tsinaslanidis, Simon Tso, Sally Tucker, Victoria Tuckley, Caroline Tuckwell, Aisha Tufail, Redmond Tully, Grace Tunesi, Saidat Turawa, Killiam Turbitt, Anna Turco, Krystyna Turek, Rezon Turel, Tolga Turgut, Claudia Turley, Alison Turnbull, Aine Turner, Ash Turner, Charlotte Turner, David Turner, Frances Turner, Gail Turner, Kate Turner, Kelly Turner, Louise Turner, Lucy Turner, Marc Turner, Mark Turner, Patricia Turner, Ruth Turner, Sally Turner, Samantha Turner, Susan Turner, Victoria Turner, Sharon Turney, Jon Turvey, Conor Tweed, David Tweed, Rebecca Twemlow, Emma Twohey, Bhavya Tyagi, Vedang Tyagi, Abigail Tyer, Jayne Tyler, Jennifer Tyler, Alison Tyzack, Petros Tzavaras, Mohammad S Uddin, Ruhama Uddin, Ruzena Uddin, Salamat Ullah, Sana Ullah, Sanda Ullah, Athavan Umaipalan, Judith Umeadi, Akudo Umeh, Wilfred Umeojiako, Ben Ummat, Charlotte Underwood, Jonathan Underwood, Laura Unitt, Adam Unsworth, Jasvinder Uppal, Veerpal S Uppal, James Uprichard, Gerry Upson, Masood Ur Rasool, Alison Uriel, Sebastian Urruela, Hiromi Uru, Miranda Usher, Rebecca Usher, Alex UsherRea, Andrew Ustianowski, Jane Uttley, Linda C Vaccari, Uddhav Vaghela, Abhay Vaidya, Bernardas Valecka, Jennifer Valentine, Balan Valeria, Pramodh Vallabhaneni, Pedro Valle Vallines, Luke Vamplew, Ekaterini Vamvakiti, Joannis Vamvakopoulos, Maud van de Venne, Alex van der Meer, Nora van der Stelt, Joseph Vance-Daniel, Rama Vancheeswaran, Caryn Vander Riet, Samuel I Vandeyoon, Padma Vankayalapati, Piyush Vanmali, Chloe Vansomeren, William Van't Hoff, Sejal Vara, Kate Vardigans, Stehen J Vardy, Anu Varghese, Maria Varghese, William Varney, Giulia Varnier, Valeria Vasadi, Olivia Vass, Vimal Vasu, Vasanthi Vasudevan, Manu Vatish, Heloyes Vayalaman, Christopher Vaz, Niki Veale, Sachuda Veerasamy, Bar Velan, Swati Velankar, Luxmi Velauthar, Neyme Veli, Nicola Vella, Anitha Velusamy, Ian Venables, Mavi Venditti, David Veniard, Ramya Venkataramakrishnan, Richard Venn, Robert Venn, Lyn Ventilacion, Joanne Vere, Mark Veres, Stefania Vergnano, Will Verling, Amit Verma, Rachel Vernall, Britney Vernon, Mark Vertue, Jerik Verula, Natalie Vethanayagam, Lucy Veys, Carinna Vickers, Saji Victor, Jennifer Vidler, Wayne Vietri, Bavithra Vijayakumar, Vinod Warrier Vijayaraghavan Nalini, Brigita Vilcinskaite, Neringa Vilimiene, Sudharkar Vimalanathan, Lynn Vinall, Sylvia Vinay, Latha Vinayakarao, Rachel Vincent, Rosie Vincent, Pritpal Virdee, Emma Virgilio, Abdullah M Virk, Elisa Visentin, Jeyakumar Visuvanathan, Karunakaran Vithian, Sorice Vittoria, Elena Vlad, Ben Vlies, Alain Vuylsteke, Eleftheria Vyras, Richard Wach, Beverley Wadams, Susan Wadd, Natalia Waddington, Kirsten Wadsworth, Syed EI Wafa, Daniel Wagstaff, Lynda Wagstaff, Dalia Wahab, Zaroug Wahbi, Abiodun Waheed Adigun, Sawan Waidyanatha, Rachel Wake, Alice Wakefield, William Wakeford, Michelle Wakelin, Fiona Wakinshaw, Andrew Walden, Jane Walden, Lorna Walding, Alexandria Waldron, Gemma Walker, Harriet Walker, Ian Walker, Jasmine Walker, Kevin Walker, Kim Walker, Linda Walker, Marie T Walker, Olivia Walker, Rachel Walker, Rebecca Walker, Susan Walker, Derek Wallbank, Rebecca Wallbutton, Jessica Wallen, Karl Wallendszus, Arabella Waller, Fiona Waller, Rosemary Waller, Gabiel Wallis, Gabriel Wallis, Louise Wallis, Donna Walsh, Elizabeth Walsh, Livia Walsh, Deborah Walstow, Daniel Walter, Alex Walters, Holt Walters, James Walters, Jocelyn Walters, Eileen Walton, Lucy Walton, Olivia Walton, Sharon Walton, Susan Walton, Mandy Wan, Thin Wan, Mary Wands, Rachel Wane, Frank Wang, Nick Wang, Ran Wang, Deborah Warbrick, Samantha Warburton, Deborah Ward, Emma Ward, Joanna Ward, Karen Ward, Luke Ward, Nicola Ward, Rachael Ward, Rebecca Ward, Thomas Ward, Tom Ward, Scott A Warden, Adele Wardle, Karen Wardle, Steve Wardle, Hassan Wardy, Scott Waring, Jenny Warmington, Ben Warner, Christian Warner, Lewis Warnock, Sarah Warran, Jade Warren, Lisa Warren, Yolanda Warren, Hannah Warren-Miell, Gill Warwick, Charlotte Washington, Helen Wassall, Hazel J Watchorn, Holly Waterfall, Abby Waters, Donald Waters, Mark Waterstone, Catherine Watkins, Catrin Watkins, Eleanor Watkins, Karen Watkins, Lynn Watkins, Nick Watkins, Abigail Watson, Adam JR Watson, Ekaterina Watson, Eleanor Watson, Paul Watson, Rebecca Watson, Robert Watson, Sandra Watson, Malcolm Watters, Donna Watterson, Daniel Watts, John Watts, Merlin Watts, Victoria Waugh, Emma Wayman, Akhlaq Wazir, Mark Weatherhead, Nick Weatherly, Paul Weaver, Hayley Webb, Kathryn Webb, Kylie Webb, Stephen Webb, Cheryl Websdale, Deborah Webster, Ian Webster, Tim Webster, Kathleen Wedgeworth, Ling Wee, Rebecca Weerakoon, Thanuja Weerasinghe, Janaka Weeratunga, Maria Weetman, Shuying Wei, Immo Weichert, Hugh Welch, James Welch, Leanne Welch, Steven Welch, Samantha Weller, Lucy Wellings, Brian Wells, Susan Wellstead, Berni Welsh, Richard Welsh, Ingeborg Welters, Rachael Welton, Lauren Wentworth, Kate Wesseldine, James Wesson, Jim Wesson, Adam West, Magdelena West, Raha West, Ruth West, Sophie West, Luke Western, Ruth Westhead, Heather Weston, Alice Westwood, Bill Wetherill, Sharon Wheaver, Helen Wheeler, Ben Whelan, Matthew Whelband, Amanda Whileman, Alison Whitcher, Abbie White, Andrew White, Benjamin White, Christopher White, Duncan White, Emily White, James White, Jonathan White, Katie White, Marie White, Nick White, Sarah White, Sonia White, Stephen White, Tracey White, Catherine Whitehead, Anne Whitehouse, Claire Whitehouse, Tony Whitehouse, Julia Whiteley, Sophie Whiteley, Victoria Whiteside, Drew Whitley, Kaitlyn Whitley, Gabriel Whitlingum, David Whitmore, Elizabeth Whittaker, Lindsay Whittam, Andrew Whittingham Hirst, Ashley Whittington, Helen Whittle, Robert Whittle, Suzanne Whyte, Eunice Wiafe, Lou Wiblin, John Widdrington, Jason Wieboldt, Hannah Wieringa, Cornelia Wiesender, Laura Wiffen, Andrew Wight, Christopher Wignall, Danielle Wilcock, Emma Wilcock, Louise Wilcox, Laura Wild, Stephen Wild, Michael Wilde, Peter Wilding, Ritchie Wildman, Tracey Wildsmith, Joe Wileman, Donna Wiles, Joy Wiles, Kate Wiles, Elva Wilhelmsen, Thomas Wiliams, Chloe Wilkes, Janet Wilkie, David Wilkin, Hannah Wilkins, Joy Wilkins, Suzanne Wilkins, Helen Wilkinson, Holly Wilkinson, Iain Wilkinson, Lesley Wilkinson, Martin Wilkinson, Nicola Wilkinson, Sophia Wilkinson, Susan Wilkinson, Tim Wilkinson, Sylvia Willetts, Aimee Williams, Alexandra Williams, Alison Williams, Angharad Williams, Ava Williams, Carl Williams, Caroline V Williams, Claire Williams, Dewi Williams, Gail Williams, Gemma Williams, Gina Williams, Hannah Williams, James Williams, Jayne Williams, Jennie Williams, John Williams, Joseph Williams, Karen Williams, Kathryn Williams, Marie Williams, Matthew Williams, Patricia Williams, Penny Williams, Rachael Williams, Rupert Williams, Samson Williams, Sarah Williams, Sophie Williams, Tamanna Williams, Annie Williamson, Cath Williamson, Catherine Williamson, Dawn Williamson, James D Williamson, Rachel Williamson, Helen Williamson, Bruce Willian, Elizabeth Willis, Emily Willis, Heather Willis, Herika Willis, Joanna Willis, Laura Willmott, Louise Wills, Lucy Willsher, Catherine Willshire, Francesca Willson, Alison Wilson, Andrea Wilson, Antoinette Wilson, Billy Wilson, Catherine Wilson, Eve Wilson, James Wilson, Karen Wilson, Kate Wilson, Lucinda Wilson, Mark Wilson, Matthew Wilson, Toni Wilson, Evie Wiltsher, Marlar Win, Tin Win, Wut Yee Win Win, Lucinda Winckworth, Laura Winder, Piers Winder, Phillip Windrum, Kerry Winham-Whyte, Helen Winmill, Simon Winn, Carmen Winpenny, Helen Winslow, Helen Winter, Jonathan Winter, Pascal Winter, Barbara Winter-Goodwin, Stephen Wisdom, Matthew Wise, Martin Wiselka, Rebecca Wiseman, Sophie Wiseman, Steven Wishart, Holly Wissett, Eric Witele, Nicholas Withers, Janet Wittes, Donna Wixted, Therese Wodehouse, Will Wolf, Nicola Wolff, Kirsten Wolffsohn, Rebecca Wolf-Roberts, Magda Wolna, Elena Wolodimeroff, Adam Wolstencroft, Alan Wong, Charlotte Wong, Chi-Hung Wong, Edwin Wong, Jessica Sue Yi Wong, Kit Y Wong, Lee Wong, Mei Yin Wong, Nick Wong, Sam Wong, Yun Man Wong, Amanda Wood, Caroline Wood, Carrie Anne Wood, Dianne Wood, Fiona Wood, Hannah Wood, Jennifer Wood, Joe Wood, Julia Wood, Kathryn Wood, Lisa Wood, Louise Wood, Michelle Wood, Stephen Wood, Tracy Wood, Ursula Wood, Katharine Woodall, Rebecca Woodfield, Christopher Woodford, Elizabeth Woodford, Jill Woodford, Luke Woodford, Louise Woodhead, Timothy Woodhead, Philip Woodland, Marc Woodman, Debra Woods, Jane Woods, Katherine Woods, Sarah Woods, Zoe Woodward, Rachel Wookey, Megan Woolcock, Gemma Wooldridge, Rebecca Woolf, Chris Woollard, Christopher Woollard, Louisa Woollen, Emma Woolley, Jade Woolley, Daniel Woosey, Dan Wootton, Joanne Wootton, Daniel Worley, Stephy Worton, Jonathan Wraight, Maria Wray, Tim Wreford-Bush, Joanne Wren, Kim Wren, Lynn Wren, Caroline Wrey Brown, Catherine Wright, Demi Wright, Francesca Wright, Imogen Wright, Lee Wright, Lianne Wright, Pete Wright, Rachel Wright, Rebecca Wright, Stephanie Wright, Tim Wright, Caroline Wroe, Hannah Wroe, Henry Wu, Peishan Wu, Pensee Wu, Jonathan Wubetu, Retno Wulandari, Craig Wyatt, Frederick Wyn-Griffiths, Inez Wynter, Bindhu Xavier, Arnold Xhikola, Zhongyang Xia, Huiyuan Xiao, Masseh Yakubi, May Yan, Freda Yang, Yingjia Yang, Michael Yanney, Woei Lin Yap, Nabil Yaqoob, Naairah Yaqub, Salima Yasmin, Bryan Yates, David Yates, Edward Yates, Helen Yates, Julie Yates, Mark Yates, Charlotte Yearwood Martin, Andrew Yeatman, Khin Yein, Fiona Yelnoorkar, Peter Yew, Kawai Yip, Laura Ylquimiche, Laura Ylquimiche Melly, Inez Ynter, H Yong, Jemma Yorke, Jasmine Youens, Abdel Younes Ibrahim, Eoin Young, Gail Young, Louise Young, Richard Young, Asfand Yousafzar, Sajeda Youssouf, Ahmed Yousuf, Chrissie Yu, Bernard Yung, Daniel Yusef, Said Yusef, Intekhab Yusuf, Anna-Sophia Zafar, Silvia Zagalo, Su Zaher, Aqsa Zahoor, Kareem Zaki, Nabhan Zakir, Kasia Zalewska, Ane Zamalloa, Mohsin Zaman, Raisa Zaman, Shakir Zaman, Julie Zamikula, Louise Zammit, Marie Zammit-Mangion, Lynn Zarb, Esther Zebracki, Daniel Zehnder, Lisa Zeidan, Marian Zelman, Xiaobei Zhao, Dongling Zheng, Doreen Zhu, Madiha Zia, Omar Zibdeh, Rabia Zill-E-Huma, Ei Thankt Zin, Veronica Zindonda, Eleanor Zinkin, Vivian Zinyemba, Christos Zipitis, Arkadiusz Zmierczak, Azam Zubir, Roslin Zuha, Naz Zuhra, Rasha Zulaikha, Sabrina Zulfikar, Carol Zullo, Ana Zuriaga-Alvaro, Will Zuurbier, Sheba Zyengi, and University of St Andrews. School of Medicine
Subjects: Male, Convalescent plasma, medicine.medical_treatment, 030204 cardiovascular system & hematology, Antibodies, Viral, Rate ratio, 0302 clinical medicine, RA0421, RA0421 Public health. Hygiene. Preventive Medicine, Medicine, Hospital Mortality, 030212 general & internal medicine, 11 Medical and Health Sciences, Aged, 80 and over, Medicine(all), Mortality rate, Covid19, Articles, 3rd-DAS, General Medicine, Middle Aged, Hospitals, Treatment Outcome, Female, Open label, Coronavirus Infections, Life Sciences & Biomedicine, RM, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), 03 medical and health sciences, Medicine, General & Internal, SDG 3 - Good Health and Well-being, General & Internal Medicine, Internal medicine, Humans, In patient, Pandemics, COVID-19 Serotherapy, Aged, Mechanical ventilation, Science & Technology, SARS-CoV-2, business.industry, Significant difference, Immunization, Passive, COVID-19, Length of Stay, NIS, R1, Respiration, Artificial, United Kingdom, RM Therapeutics. Pharmacology, RECOVERY Collaborative Group, business
Abstract: Background: Many patients with COVID-19 have been treated with plasma containing anti-SARS-CoV-2 antibodies. We aimed to evaluate the safety and efficacy of convalescent plasma therapy in patients admitted to hospital with COVID-19. Methods: This randomised, controlled, open-label, platform trial (Randomised Evaluation of COVID-19 Therapy [RECOVERY]) is assessing several possible treatments in patients hospitalised with COVID-19 in the UK. The trial is underway at 177 NHS hospitals from across the UK. Eligible and consenting patients were randomly assigned (1:1) to receive either usual care alone (usual care group) or usual care plus high-titre convalescent plasma (convalescent plasma group). The primary outcome was 28-day mortality, analysed on an intention-to-treat basis. The trial is registered with ISRCTN, 50189673, and ClinicalTrials.gov, NCT04381936. Findings: Between May 28, 2020, and Jan 15, 2021, 11558 (71%) of 16287 patients enrolled in RECOVERY were eligible to receive convalescent plasma and were assigned to either the convalescent plasma group or the usual care group. There was no significant difference in 28-day mortality between the two groups: 1399 (24%) of 5795 patients in the convalescent plasma group and 1408 (24%) of 5763 patients in the usual care group died within 28 days (rate ratio 1·00, 95% CI 0·93–1·07; p=0·95). The 28-day mortality rate ratio was similar in all prespecified subgroups of patients, including in those patients without detectable SARS-CoV-2 antibodies at randomisation. Allocation to convalescent plasma had no significant effect on the proportion of patients discharged from hospital within 28 days (3832 [66%] patients in the convalescent plasma group vs 3822 [66%] patients in the usual care group; rate ratio 0·99, 95% CI 0·94–1·03; p=0·57). Among those not on invasive mechanical ventilation at randomisation, there was no significant difference in the proportion of patients meeting the composite endpoint of progression to invasive mechanical ventilation or death (1568 [29%] of 5493 patients in the convalescent plasma group vs 1568 [29%] of 5448 patients in the usual care group; rate ratio 0·99, 95% CI 0·93–1·05; p=0·79). Interpretation: In patients hospitalised with COVID-19, high-titre convalescent plasma did not improve survival or other prespecified clinical outcomes. Funding: UK Research and Innovation (Medical Research Council) and National Institute of Health Research.
Published: 2021

22. Ethnicity and the first diagnosis of a wide range of cardiovascular diseases: Associations in a linked electronic health record cohort of 1 million patients.

Author: Julie George, Rohini Mathur, Anoop Dinesh Shah, Mar Pujades-Rodriguez, Spiros Denaxas, Liam Smeeth, Adam Timmis, and Harry Hemingway
Subjects: Medicine, Science
Abstract: While the association of ethnic group with individual cardiovascular diseases has been studied, little is known about ethnic differences in the initial lifetime presentation of clinical cardiovascular disease in contemporary populations.We studied 1,068,318 people, aged ≥30 years and free from diagnosed CVD at baseline (90.9% White, 3.6% South Asian and 2.9% Black), using English linked electronic health records covering primary care, hospital admissions, acute coronary syndrome registry and mortality registry (CALIBER platform). During 5.7 years median follow-up between 1997-2010, 95,224 people experienced an incident cardiovascular diagnosis. 69.9% (67.2%-72.4%) of initial presentation in South Asian
Published: 2017
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23. Generic, scalable and decentralized fault detection for robot swarms.

Author: Danesh Tarapore, Anders Lyhne Christensen, and Jon Timmis
Subjects: Medicine, Science
Abstract: Robot swarms are large-scale multirobot systems with decentralized control which means that each robot acts based only on local perception and on local coordination with neighboring robots. The decentralized approach to control confers number of potential benefits. In particular, inherent scalability and robustness are often highlighted as key distinguishing features of robot swarms compared with systems that rely on traditional approaches to multirobot coordination. It has, however, been shown that swarm robotics systems are not always fault tolerant. To realize the robustness potential of robot swarms, it is thus essential to give systems the capacity to actively detect and accommodate faults. In this paper, we present a generic fault-detection system for robot swarms. We show how robots with limited and imperfect sensing capabilities are able to observe and classify the behavior of one another. In order to achieve this, the underlying classifier is an immune system-inspired algorithm that learns to distinguish between normal behavior and abnormal behavior online. Through a series of experiments, we systematically assess the performance of our approach in a detailed simulation environment. In particular, we analyze our system's capacity to correctly detect robots with faults, false positive rates, performance in a foraging task in which each robot exhibits a composite behavior, and performance under perturbations of the task environment. Results show that our generic fault-detection system is robust, that it is able to detect faults in a timely manner, and that it achieves a low false positive rate. The developed fault-detection system has the potential to enable long-term autonomy for robust multirobot systems, thus increasing the usefulness of robots for a diverse repertoire of upcoming applications in the area of distributed intelligent automation.
Published: 2017
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24. The impact of mobile phone use on where we look and how we walk when negotiating floor based obstacles.

Author: Matthew A Timmis, Herre Bijl, Kieran Turner, Itay Basevitch, Matthew J D Taylor, and Kjell N van Paridon
Subjects: Medicine, Science
Abstract: Pedestrians regularly engage with their mobile phone whilst walking. The current study investigated how mobile phone use affects where people look (visual search behaviour) and how they negotiate a floor based hazard placed along the walking path. Whilst wearing a mobile eye tracker and motion analysis sensors, participants walked up to and negotiated a surface height change whilst writing a text, reading a text, talking on the phone, or without a phone. Differences in gait and visual search behaviour were found when using a mobile phone compared to when not using a phone. Using a phone resulted in looking less frequently and for less time at the surface height change, which led to adaptations in gait by negotiating it in a manner consistent with adopting an increasingly cautious stepping strategy. When using a mobile phone, writing a text whilst walking resulted in the greatest adaptions in gait and visual search behaviour compared to reading a text and talking on a mobile phone. Findings indicate that mobile phone users were able to adapt their visual search behaviour and gait to incorporate mobile phone use in a safe manner when negotiating floor based obstacles.
Published: 2017
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25. Psychological distress and trauma during the COVID-19 pandemic: survey of doctors practising anaesthesia, intensive care medicine, and emergency medicine in the United Kingdom and Republic of Ireland

Author: Tom Roberts, Robert Hirst, Camilla Sammut-Powell, Charles Reynard, Jo Daniels, Daniel Horner, Mark D. Lyttle, Katie Samuel, Blair Graham, Michael J. Barrett, James Foley, John Cronin, Etimbuk Umana, Joao Vinagre, Edward Carlton, L. Kane, L. Mackenzie, S. Sharma Hajela, J. Phizacklea, K. Malik, N. Mathai, A. Sattout, S. Messahel, E. Fadden, R. McQuillan, B. O'Hare, S. Lewis, D. Bewick, R. Taylor, I. Hancock, D. Manthalapo Ramesh Babu, S. Hartshorn, M. Williams, A. Charlton, L. Somerset, C. Munday, A. Turner, R. Sainsbury, E. Williams, S. Patil, R. Stewart, M. Winstanley, N. Tambe, C. Magee, D. Raffo, D. Mawhinney, B. Taylor, T. Hussan, G. Pells, F. Barham, F. Wood, C. Szekeres, R. Greenhalgh, S. Marimuthu, R. Macfarlane, M. Alex, B. Shrestha, L. Stanley, J. Gumley, K. Thomas, M. Anderson, C. Weegenaar, J. Lockwood, T. Mohamed, S. Ramraj, M. Mackenzie, A. Robertson, W. Niven, M. Patel, S. Subramaniam, C. Holmes, S. Bongale, U. Bait, S. Nagendran, S. Rao, F. Mendes, P. Singh, T. Baron, C. Ponmani, M. Depante, R. Sneep, A. Brookes, S. Williams, A. Rainey, J. Brown, N. Marriage, S. Manou, S. Hart, M. Elsheikh, L. Cocker, M.H. Elwan, K.L. Vincent, C. Nunn, N. Sarja, M. Viegas, E. Wooffinden, C. Reynard, N. Cherian, A. Da-Costa, S. Duckitt, J. Bailey, L. How, T. Hine, F. Ihsan, H. Abdullah, K. Bader, S. Pradhan, M. Manoharan, L. Kehler, R. Muswell, M. Bonsano, J. Evans, E. Christmas, K. Knight, L. O'Rourke, K. Adeboye, K. Iftikhar, R. Evans, R. Darke, R. Freeman, E. Grocholski, K. Kaur, H. Cooper, M. Mohammad, L. Harwood, K. Lines, C. Thomas, D. Ranasinghe, S. Hall, J. Wright, N. Ali, J. Hunt, H. Ahmad, C. Ward, M. Khan, K. Holzman, J. Ritchie, A. Hormis, R. Hannah, A. Corfield, J. Maney, D. Metcalfe, S. Timmis, C. Williams, R. Newport, D. Bawden, A. Tabner, H. Malik, C. Roe, D. McConnell, F. Taylor, R. Ellis, S. Morgan, L. Barnicott, S. Foster, J. Browning, L. McCrae, E. Godden, A. Saunders, A. Lawrence-Ball, R. House, J. Muller, I. Skene, M. Lim, H. Millar, A. Rai, K. Challen, S. Currie, M. Elkanzi, T. Perry, W. Kan, L. Brown, M. Cheema, A. Clarey, A. Gulati, K. Webster, A. Howson, R. Doonan, A. Trimble, C. O’Connell, R. Wright, E. Colley, C. Rimmer, S. Pintus, H. Jarman, V. Worsnop, S. Collins, M. Colmar, N. Masood, R. McLatchie, A. Peasley, S. Rahman, N. Mullen, L. Armstrong, A. Hay, R. Mills, J. Lowe, H. Raybould, A. Ali, P. Cuthbert, S. Taylor, V. Talwar, Z. Al-Janabi, C. Leech, J. Turner, L. McKechnie, B. Mallon, J. McLaren, Y. Moulds, L. Dunlop, F.M. Burton, S. Keers, L. Robertson, D. Craver, N. Moultrie, O. Williams, S. Purvis, M. Clark, C. Davies, S. Foreman, C. Ngua, J. Morgan, N. Hoskins, J. Fryer, L. Frost, P. Ellis, A. Mackay, K. Gray, M. Jacobs, I. Musliam Veettil Asif, P. Amiri, S. Shrivastava, F. Raza, S. Wilson, M. Riyat, H. Knott, M. Ramazany, S. Langston, N. Abela, L. Robinson, D. Maasdorp, H. Murphy, H. Edmundson, R. Das, C. Orjioke, D. Worley, W. Collier, J. Everson, N. Maleki, A. Stafford, S. Gokani, M. Charalambos, A. Olajide, C. Bi, J. Ng, S. Naeem, A. Hill, C. Boulind, R. O'Sullivan, S. Gilmartin, S. Uí Bhroin, P. Fitzpatrick, A. Patton, M. Jee Poh Hock, S. Graham, S. Kukaswadia, C. Prendergast, A. Ahmed, C. Dalla Vecchia, J. Lynch, M. Grummell, I. Grossi, B. MacManus, P. Turton, C. Battle, K. Samuel, A. Boyle, A. Waite, D. George, B. Johnston, J. Anandarajah, and J. Vinagre
Subjects: Adult, Male, medicine.medical_specialty, Critical Care, Coronavirus disease 2019 (COVID-19), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Psychological Distress, Cohort Studies, Stress Disorders, Post-Traumatic, SDG 3 - Good Health and Well-being, emergency medicine, Physicians, Surveys and Questionnaires, Intensive care, Pandemic, medicine, Humans, Anesthesia, Longitudinal Studies, Prospective Studies, Pandemics, intensive care, business.industry, COVID-19, Psychological distress, anaesthesia, medicine.disease, Mental health, United Kingdom, Anesthesiology and Pain Medicine, Family medicine, Emergency Medicine, Female, business, psychological trauma, Ireland, mental health, Cohort study, Psychological trauma
Abstract: Received 12th May 2021. Accepted 17th May 2021. Published online 28th May 2021. Issue published 1st August 2021.
Published: 2021

26. Optimizing the Use of High-Sensitivity Troponin Assays for the Early Rule-out of Myocardial Infarction in Patients Presenting with Chest Pain: A Systematic Review

Author: Nigel Armstrong, Sabine Grimm, Debra Fayter, Bram Ramaekers, Janine Ross, Titas Buksnys, Richard Body, Adam Timmis, Paul Collinson, Marie Westwood, Gill Worthy, Jos Kleijnen, and Nicholas L. Mills
Subjects: Adult, medicine.medical_specialty, diagnosis, Clinical Biochemistry, I ASSAYS, 030204 cardiovascular system & hematology, Chest pain, Logistic regression, Sensitivity and Specificity, Angina Pectoris, Single test, 03 medical and health sciences, 0302 clinical medicine, Troponin T, Internal medicine, medicine, Acute chest pain, Humans, In patient, 030212 general & internal medicine, Myocardial infarction, Non-ST Elevated Myocardial Infarction, METAANALYSIS, Randomized Controlled Trials as Topic, Diagnostic Tests, Routine, business.industry, american-college, Troponin I, Biochemistry (medical), association, point, medicine.disease, Confidence interval, High sensitivity troponin, Cardiology, medicine.symptom, business, Algorithms
Abstract: Background We assessed the accuracy and clinical effectiveness of high-sensitivity cardiac troponin (hs-cTn) assays for early rule-out of non-ST-segment elevation myocardial infarction (NSTEMI) in adults presenting with acute chest pain. Methods Sixteen databases were searched to September 2019. Review methods followed published guidelines. The bivariate model was used to estimate summary sensitivity and specificity with 95% confidence intervals for meta-analyses involving 4 or more studies, otherwise random-effects logistic regression was used. Results Thirty-seven studies (124 publications) were included in the review. The hs-cTn test strategies evaluated in the included studies were defined by the combination of 4 factors (assay, number of tests, timing of tests, and threshold concentration or change in concentration between tests). Clinical opinion indicated a minimum acceptable sensitivity of 97%. A single test at presentation using a threshold at or near the assay limit of detection could reliably rule-out NSTEMI for a range of hs-cTn assays. Serial testing strategies, which include an immediate rule-out step, increased the proportion ruled out without loss of sensitivity. Finally, serial testing strategies without an immediate rule-out step had excellent sensitivity and specificity, but at the expense of the option for immediate patient discharge. Conclusion Test strategies that comprise an initial rule-out step, based on low hs-cTn concentrations at presentation and a minimum symptom duration, and a second step for those not ruled-out that incorporates a small absolute change in hs-cTn at 1, 2, or 3 hours, produce the highest rule-out rates with a very low risk of missed NSTEMI. PROSPERO registration CRD42019154716
Published: 2020

27. Statistical Techniques Complement UML When Developing Domain Models of Complex Dynamical Biosystems.

Author: Richard A Williams, Jon Timmis, and Eva E Qwarnstrom
Subjects: Medicine, Science
Abstract: Computational modelling and simulation is increasingly being used to complement traditional wet-lab techniques when investigating the mechanistic behaviours of complex biological systems. In order to ensure computational models are fit for purpose, it is essential that the abstracted view of biology captured in the computational model, is clearly and unambiguously defined within a conceptual model of the biological domain (a domain model), that acts to accurately represent the biological system and to document the functional requirements for the resultant computational model. We present a domain model of the IL-1 stimulated NF-κB signalling pathway, which unambiguously defines the spatial, temporal and stochastic requirements for our future computational model. Through the development of this model, we observe that, in isolation, UML is not sufficient for the purpose of creating a domain model, and that a number of descriptive and multivariate statistical techniques provide complementary perspectives, in particular when modelling the heterogeneity of dynamics at the single-cell level. We believe this approach of using UML to define the structure and interactions within a complex system, along with statistics to define the stochastic and dynamic nature of complex systems, is crucial for ensuring that conceptual models of complex dynamical biosystems, which are developed using UML, are fit for purpose, and unambiguously define the functional requirements for the resultant computational model.
Published: 2016
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28. Do-It-Yourself (DIY) Artificial Pancreas Systems for Type 1 Diabetes: Perspectives of Two Adult Users, Parent of a User and Healthcare Professionals

Author: David Ewins, Alison Timmis, Nicola Payne, Jane Bridges, Syed Haris Ahmed, Claire MacGregor, and Cormac Mooney
Subjects: Adult, Male, Pancreas, Artificial, Parents, 030213 general clinical medicine, Do-it-yourself (DIY), Adolescent, Artificial pancreas systems, Health Personnel, Time-in-range, Insulin dose, Artificial pancreas, Insulin pump therapy, Young Adult, 03 medical and health sciences, Insulin Infusion Systems, 0302 clinical medicine, Type 1 diabetes, Humans, Hypoglycemic Agents, Insulin, Medicine, Pharmacology (medical), Transitional care, Child, Continuous glucose monitoring, Original Research, Health professionals, business.industry, Self-Management, General Medicine, Middle Aged, medicine.disease, Holy Grail, Diabetes Mellitus, Type 1, Treatment Outcome, Open source, Patient Satisfaction, 030220 oncology & carcinogenesis, Female, Medical emergency, Hypoglycaemia, business, Healthcare providers
Abstract: The artificial pancreas system or an automated insulin dosing system has been the 'holy grail' for patients with type 1 diabetes and their caregivers who have over the years wanted to 'close the loop' between monitoring of glucose and delivery of insulin. The launch of the Medtronic MiniMed 670G system in 2017 and the subsequent release of the Tandem t:slim with Control-IQ system, the DANA RS pump compatible-CamAPS FX app and the more recent announcement of the Medtronic MiniMed 780G system have come as answers to their prayers. However, in the time taken to develop and launch these commercial systems, creative and ebullient parents of young patients with type 1 diabetes, along with other patients, technologists and healthcare professionals have developed mathematical models as software solutions to determine insulin delivery that in conjunction with compatible hardware have helped 'close the loop'. Under an umbrella movement #WeAreNotWaiting, they have, as a community, refined and disseminated technologies that are open source and ubiquitously available as do-it-yourself (DIY) closed-loop systems or DIY artificial pancreas systems (APS). There are presently three systems-OpenAPS, AndroidAPS and Loop. We present perspectives of two patients, parent of a patient, and their healthcare providers; the users spanning an age spectrum most likely to use this technology-a child, an adolescent in transitional care and a 31-yr old adult patient, highlighting how looping has helped them self-manage diabetes within the routine of their lives and the challenges they faced.
Published: 2020

29. B cell zone reticular cell microenvironments shape CXCL13 gradient formation

Author: Urs Mörbe, Rita Pinter, Mariagrazia Uguccioni, Charles J.N. Lacey, Mark Coles, Marcus Thelen, Mark C. Leake, Zhaoukun Zhou, Natalia Pikor, Jason Cosgrove, Tom Cupedo, Anne Thuery, Jens V. Stein, Jon Timmis, Jovana Cupovic, Stefan Albrecht, Manfred Heller, Bénédicte Manoury, Kieran Alden, Mario Novkovic, Daniel F. Legler, Helen Miller, Burkhard Ludewig, Wojciech G. Polak, Marlene Wolf, Andrew Coatesworth, Daniel Venetz, Lucas Onder, Emily Taylor, Peter O'Toole, Simon Jarrett, Cantonal Hospital St. Gallen (KSSG), Brustzentrum Kantonsspital St. Gallen, Surgery, and Hematology
Subjects: 0301 basic medicine, Palatine Tonsil, Cell, General Physics and Astronomy, Adaptive Immunity, [SDV.IMM.II]Life Sciences [q-bio]/Immunology/Innate immunity, Cathepsin B, Extracellular matrix, Mice, 0302 clinical medicine, Reticular cell, [SDV.BC.IC]Life Sciences [q-bio]/Cellular Biology/Cell Behavior [q-bio.CB], 610 Medicine & health, lcsh:Science, Mice, Knockout, B-Lymphocytes, Multidisciplinary, Chemistry, Recombinant Proteins, Extracellular Matrix, medicine.anatomical_structure, Cellular Microenvironment, 030220 oncology & carcinogenesis, Imaging the immune system, Lymph node, Chemokines, Science, [SDV.CAN]Life Sciences [q-bio]/Cancer, Models, Biological, Article, General Biochemistry, Genetics and Molecular Biology, Cell Line, 03 medical and health sciences, ddc:570, Extracellular, medicine, Animals, Humans, Computer Simulation, CXCL13, B cell, B cells, General Chemistry, Chemokine CXCL13, 030104 developmental biology, Microscopy, Fluorescence, Cell culture, Biophysics, lcsh:Q, Stromal Cells, Dendritic Cells, Follicular
Abstract: Through the formation of concentration gradients, morphogens drive graded responses to extracellular signals, thereby fine-tuning cell behaviors in complex tissues. Here we show that the chemokine CXCL13 forms both soluble and immobilized gradients. Specifically, CXCL13+ follicular reticular cells form a small-world network of guidance structures, with computer simulations and optimization analysis predicting that immobilized gradients created by this network promote B cell trafficking. Consistent with this prediction, imaging analysis show that CXCL13 binds to extracellular matrix components in situ, constraining its diffusion. CXCL13 solubilization requires the protease cathepsin B that cleaves CXCL13 into a stable product. Mice lacking cathepsin B display aberrant follicular architecture, a phenotype associated with effective B cell homing to but not within lymph nodes. Our data thus suggest that reticular cells of the B cell zone generate microenvironments that shape both immobilized and soluble CXCL13 gradients., Morphogens such as chemokines form gradients to direct graded responses and modulate cell behaviors. Here the authors show, using imaging and computer simulation, that the chemokine CXCL13 originated from follicular reticular cells in the lymph nodes forms both soluble and immobilized gradients to regulate B cell recruitment and migration.
Published: 2020

30. Lillias Hamilton: Personal physician to the Amir of Afghanistan

Author: Christopher Timmis
Subjects: medicine.medical_specialty, Smallpox vaccination, Afghanistan, India, Medicine (miscellaneous), Medical practice, Physicians, Women, Principal (commercial law), England, History and Philosophy of Science, Physicians, Family medicine, medicine, Humans, Female, Sociology, Prejudice (legal term)
Abstract: Lillias Hamilton trained as a doctor in London, qualified in 1890 and practiced in Calcutta and later in Afghanistan where she was the personal physician to the Amir and the only Western doctor. After six years abroad, she returned to England but owing partly to establishment prejudice was unsuccessful in setting up a London practice and eventually became the Principal of a Women's Agricultural College. Her career illustrates the aspects of medical practice abroad in the 1890s, as well as the difficulties encountered by women doctors in England even after the route to qualification in the UK had been opened.
Published: 2020

31. <scp>SARS‐CoV</scp> ‐2 variants: Relevance for symptom granularity, epidemiology, immunity (herd, vaccines), virus origin and containment?

Author: Kenneth N. Timmis and Antoine Danchin
Subjects: Opinion, COVID-19 Vaccines, Genes, Viral, Pneumonia, Viral, Biology, medicine.disease_cause, Microbiology, Genome, Virus, Herd immunity, Evolution, Molecular, Betacoronavirus, 03 medical and health sciences, Pandemic, medicine, Humans, Pandemics, Gene, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, Recombination, Genetic, Genetics, 0303 health sciences, Mutation, Base Sequence, SARS-CoV-2, 030306 microbiology, Viral Epidemiology, COVID-19, Viral Vaccines, biology.organism_classification, Coronavirus Infections
Abstract: Summary The origin of the SARS‐CoV‐2 virus remains enigmatic. It is likely to be a continuum resulting from inevitable mutations and recombination events. These genetic changes keep developing in the present epidemic. Mutations tending to deplete the genome in its cytosine content will progressively lead to attenuation as a consequence of Muller's ratchet, but this is counteracted by recombination when different mutants co‐infect the same host, in particular, in clusters of infection. Monitoring as a function of time the genome sequences in closely related cases is critical to anticipate the future of SARS‐CoV‐2 and hence of COVID‐19.
Published: 2020

32. Baseline risk, timing of invasive strategy and guideline compliance in NSTEMI: Nationwide analysis from MINAP

Author: Claire A. Lawson, Ahmad Shoaib, Adam Timmis, Tim Kinnaird, Mohamed O. Mohamed, Evangelos Kontopantelis, Mamas A. Mamas, Muhammad Rashid, Chris P Gale, Nick Curzen, and Phyo K. Myint
Subjects: Male, medicine.medical_specialty, Invasive strategy, Baseline risk, 030204 cardiovascular system & hematology, Q1, Logistic regression, Risk Assessment, Time-to-Treatment, 03 medical and health sciences, Non-ST elevation acute myocardial infarction, Sex Factors, 0302 clinical medicine, Guidelines recommendations, Myocardial Revascularization, medicine, Humans, Timing, Registries, 030212 general & internal medicine, Non-ST Elevated Myocardial Infarction, Risk stratification, Aged, Guidelines indicated care, Heart Failure, Unstable angina, business.industry, Guideline compliance, Middle Aged, medicine.disease, R1, United Kingdom, Increasing risk, Outcome and Process Assessment, Health Care, Practice Guidelines as Topic, Emergency medicine, Female, Guideline Adherence, Cardiology and Cardiovascular Medicine, business, Procedures and Techniques Utilization, Healthcare system
Abstract: BACKGROUND: International guidelines recommend that for NSTEMI, the timing of invasive strategy (IS) is a function of patient's baseline risk. The extent to which this is delivered across and within healthcare systems is unknown. METHODS: Data were derived from 137,265 patients admitted with an NSTEMI diagnosis between 2010 and 2015 in England and Wales. Patients were stratified into low, intermediate and high-risk in keeping with international guidelines. Time to IS was categorised into early (24 h), intermediate (25-72 h) and late (>72 h). Multivariable logistic regression models were used to identify independent predictors of guidelines recommended receipt of IS. RESULTS: There were 3608 (2.6%) low, 5037 (3.7%) intermediate and 128,621 (93.7%) high-risk patients. Guidelines recommended use of IS was significantly lower in high-risk (16.4%) compared to intermediate (64.7%) and low-risk (62.5%) groups. Both men and women in the low-risk category were almost twice as likely to receive early IS compared to high-risk men (28.9% vs 17%, p
Published: 2020

33. Development of an international standard set of outcome measures for patients with atrial fibrillation: a report of the International Consortium for Health Outcomes Measurement (ICHOM) atrial fibrillation working group

Author: Isabelle C. Van Gelder, Kate E. Koplan, Trudie Lobban, Benjamin A. Steinberg, Gopi Dandamudi, Bridget Caffrey-Armstrong, William H Seligman, Prabhakaran Dorairaj, Christopher B. Granger, Adam Timmis, Mellanie True Hills, Jeff S. Healey, Elena Arbelo, Guo Yutao, William R. Lewis, Shinya Goto, Matthew Fay, Jeroen M.L. Hendriks, Deirdre A. Lane, Christopher J. McLeod, Michael B. Collins, Zofia Das-Gupta, Spencer Moseley, Andreas Bollmann, Daniel A Cehic, A. John Camm, Menno V. Huisman, Bathory Gyorgy, Ramón Corbalán, FD Richard Hobbs, Adedayo O Jobi-Odeneye, Amitava Banerjee, and Cardiovascular Centre (CVC)
Subjects: COUNTRIES, medicine.medical_specialty, Consensus, Patient-reported, Delphi method, Outcomes, 030204 cardiovascular system & hematology, GUIDELINES, WARFARIN, 03 medical and health sciences, Patient safety, 0302 clinical medicine, Clinical Research, Surveys and Questionnaires, Outcome Assessment, Health Care, Health care, MANAGEMENT, ABLATION, medicine, Humans, Patient Reported Outcome Measures, 030212 general & internal medicine, Value-based health care, business.industry, International standard, RIVAROXABAN, ASSOCIATION, Benchmarking, GLOBAL BURDEN, medicine.disease, Atrial fibrillation, Comorbidity, 3. Good health, REGISTRY, Family medicine, CENTERED OUTCOMES, Outcomes research, Cardiology and Cardiovascular Medicine, business, Body mass index
Abstract: Aims As health systems around the world increasingly look to measure and improve the value of care that they provide to patients, being able to measure the outcomes that matter most to patients is vital. To support the shift towards value-based health care in atrial fibrillation (AF), the International Consortium for Health Outcomes Measurement (ICHOM) assembled an international Working Group (WG) of 30 volunteers, including health professionals and patient representatives to develop a standardized minimum set of outcomes for benchmarking care delivery in clinical settings. Methods and results Using an online-modified Delphi process, outcomes important to patients and health professionals were selected and categorized into (i) long-term consequences of disease outcomes, (ii) complications of treatment outcomes, and (iii) patient-reported outcomes. The WG identified demographic and clinical variables for use as case-mix risk adjusters. These included baseline demographics, comorbidities, cognitive function, date of diagnosis, disease duration, medications prescribed and AF procedures, as well as smoking, body mass index (BMI), alcohol intake, and physical activity. Where appropriate, and for ease of implementation, standardization of outcomes and case-mix variables was achieved using ICD codes. The standard set underwent an open review process in which over 80% of patients surveyed agreed with the outcomes captured by the standard set. Conclusion Implementation of these consensus recommendations could help institutions to monitor, compare and improve the quality and delivery of chronic AF care. Their consistent definition and collection, using ICD codes where applicable, could also broaden the implementation of more patient-centric clinical outcomes research in AF.
Published: 2020

34. The Home Clinic or All in a Day's Work of Dr. Fics

Author: Kenneth N. Timmis
Subjects: Medical education, Editorial, Work (electrical), business.industry, lcsh:Biotechnology, lcsh:TP248.13-248.65, Medicine, Bioengineering, business, Ambulatory Care Facilities, Applied Microbiology and Biotechnology, Biochemistry, Biotechnology
Published: 2020

35. SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe

Author: Hageman, S., Pennells, L., Ojeda, F., Kaptoge, S., Kuulasmaa, K., Vries, T. de, Xu, Z., Kee, F., Chung, R., Wood, A., McEvoy, J.W., Veronesi, G., Bolton, T., Dendale, P., Ference, B.A., Halle, M., Timmis, A., Vardas, P., Danesh, J., Graham, I., Salomaa, V., Visseren, F., Bacquer, D. de, Blankenberg, S., Dorresteijn, J., Angelantonio, E. di, Achenbach, S., Aleksandrova, K., Amiano, P., Amouyel, P., Andersson, J., Bakker, S.J.L., Costa, R.B.D., Beulens, J.W.J., Blaha, M., Bobak, M., Boer, J.M.A., Bonet, C., Bonnet, F., Boutron-Ruault, M.C., Braaten, T., Brenner, H., Brunner, F., Brunner, E.J., Brunstrom, M., Buring, J., Butterworth, A.S., Capkova, N., Cesana, G., Chrysohoou, C., Colorado-Yohar, S., Cook, N.R., Cooper, C., Dahm, C.C., Davidson, K., Dennison, E., Castelnuovo, A. di, Donfrancesco, C., Dorr, M., Dorynska, A., Eliasson, M., Engstrom, G., Ferrari, P., Ferrario, M., Ford, I., Fu, M., Gansevoort, R.T., Giampaoli, S., Gillum, R.F., Camara, A.G. de la, Grassi, G., Hansson, P.O., Huculeci, R., Hveem, K., Iacoviello, L., Ikram, M.K., Jorgensen, T., Joseph, B., Jousilahti, P., Jukema, J.W., Kaaks, R., Katzke, V., Kavousi, M., Kiechl, S., Klotsche, J., Konig, W., Kronmal, R.A., Kubinova, R., Kucharska-Newton, A., Lall, K., Lehmann, N., Leistner, D., Linneberg, A., Pablos, D.L., Lorenz, T., Lu, W.T., Luksiene, D., Lyngbakken, M., Magnussen, C., Malyutina, S., Ibanez, A.M., Masala, G., Mathiesen, E.B., Matsushita, K., Meade, T.W., Melander, O., Meyer, H.E., Moons, K.G.M., Moreno-Iribas, C., Muller, D., Munzel, T., Nikitin, Y., Nordestgaard, B.G., Omland, T., Onland, C., Overvad, K., Packard, C., Pajak, A., Palmieri, L., Panagiotakos, D., Panico, S., Perez-Cornago, A., Peters, A., Pietila, A., Pikhart, H., Psaty, B.M., Quarti-Trevano, F., Garcia, J.R.Q., Riboli, E., Ridker, P.M., Rodriguez, B., Rodriguez-Barranco, M., Rosengren, A., Roussel, R., Sacerdote, C., Sans, S., Sattar, N., Schiborn, C., Schmidt, B., Schottker, B., Schulze, M., Schwartz, J.E., Selmer, R.M., Shea, S., Shipley, M.J., Sieri, S., Soderberg, S., Sofat, R., Tamosiunas, A., Thorand, B., Tillmann, T., Tjonneland, A., Tong, T.Y.N., Trichopoulou, A., Tumino, R., Tunstall-Pedoe, H., Tybjaerg-Hansen, A., Tzoulaki, J., Heijden, A. van der, Schouw, Y.T. van der, Verschuren, W.M.M., Volzke, H., Waldeyer, C., Wareham, N.J., Weiderpass, E., Weidinger, F., Wild, P., Willeit, J., Willeit, P., Wilsgaard, T., Woodward, M., Zeller, T., Zhang, D.D., Zhou, B., SCORE2 Working Grp, ESC Cardiovasc Risk Collaboration, collaboration, SCORE2 working group and ESC Cardiovascular risk, Groningen Institute for Organ Transplantation (GIOT), Groningen Kidney Center (GKC), Cardiovascular Centre (CVC), Epidemiology, Neurology, Achenbach, S, Aleksandrova, K, Amiano, P, San Sebastian, D, Amouyel, P, Andersson, J, Bakker, S, Da Providencia Costa, R, Beulens, J, Blaha, M, Bobak, M, Boer, J, Bonet, C, Bonnet, F, Boutron-Ruault, M, Braaten, T, Brenner, H, Brunner, F, Brunner, E, Brunström, M, Buring, J, Butterworth, A, Capkova, N, Cesana, G, Chrysohoou, C, Colorado-Yohar, S, Cook, N, Cooper, C, Dahm, C, Davidson, K, Dennison, E, Di Castelnuovo, A, Donfrancesco, C, Dörr, M, Doryńska, A, Eliasson, M, Engström, G, Ferrari, P, Ferrario, M, Ford, I, Fu, M, Gansevoort, R, Giampaoli, S, Gillum, R, Gómez de la Cámara, A, Grassi, G, Hansson, P, Huculeci, R, Hveem, K, Iacoviello, L, Ikram, M, Jørgensen, T, Joseph, B, Jousilahti, P, Wouter Jukema, J, Kaaks, R, Katzke, V, Kavousi, M, Kiechl, S, Klotsche, J, König, W, Kronmal, R, Kubinova, R, Kucharska-Newton, A, Läll, K, Lehmann, N, Leistner, D, Linneberg, A, Pablos, D, Lorenz, T, Lu, W, Luksiene, D, Lyngbakken, M, Magnussen, C, Malyutina, S, Ibañez, A, Masala, G, Mathiesen, E, Matsushita, K, Meade, T, Melander, O, Meyer, H, Moons, K, Moreno-Iribas, C, Muller, D, Münzel, T, Nikitin, Y, Nordestgaard, B, Omland, T, Onland, C, Overvad, K, Packard, C, Pająk, A, Palmieri, L, Panagiotakos, D, Panico, S, Perez-Cornago, A, Peters, A, Pietilä, A, Pikhart, H, Psaty, B, Quarti-Trevano, F, Garcia, J, Riboli, E, Ridker, P, Rodriguez, B, Rodriguez-Barranco, M, Rosengren, A, Roussel, R, Sacerdote, C, S, S, Sattar, N, Schiborn, C, Schmidt, B, Schöttker, B, Schulze, M, Schwartz, J, Selmer, R, Shea, S, Shipley, M, Sieri, S, Söderberg, S, Sofat, R, Tamosiunas, A, Thorand, B, Tillmann, T, Tjønneland, A, Tong, T, Trichopoulou, A, Tumino, R, Tunstall-Pedoe, H, Tybjaerg-Hansen, A, Tzoulaki, J, van der Heijden, A, van der Schouw, Y, Verschuren, W, Völzke, H, Waldeyer, C, Wareham, N, Weiderpass, E, Weidinger, F, Wild, P, Willeit, J, Willeit, P, Wilsgaard, T, Woodward, M, Zeller, T, Zhang, D, Zhou, B, and Apollo - University of Cambridge Repository
Subjects: Male, Cardiology, RATIONALE, Blood Pressure, Disease, 030204 cardiovascular system & hematology, PROFILE, ACUTE CORONARY EVENTS, VALIDATION, Europe/epidemiology, 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, DESIGN, Clinical Research, Risk Factors, Diabetes mellitus, medicine, PARTICIPANTS, Humans, 030212 general & internal medicine, Risk factor, Aged, Primary prevention, business.industry, 10-year CVD risk, Incidence (epidemiology), Cardiovascular Diseases/epidemiology, Risk Prediction, Cardiovascular Disease, Primary Prevention, 10-year Cvd Risk, External validation, PRIMARY-CARE, Middle Aged, medicine.disease, Cardiovascular disease, Risk prediction, 3. Good health, Europe, Prediction algorithms, Blood pressure, Cardiovascular Diseases, Smoking status, Female, Cardiology and Cardiovascular Medicine, business, Algorithms, Demography
Abstract: Aims The aim of this study was to develop, validate, and illustrate an updated prediction model (SCORE2) to estimate 10-year fatal and non-fatal cardiovascular disease (CVD) risk in individuals without previous CVD or diabetes aged 40-69 years in Europe.Methods and results We derived risk prediction models using individual-participant data from 45 cohorts in 13 countries (677 684 individuals, 30 121 CVD events). We used sex-specific and competing risk-adjusted models, including age, smoking status, systolic blood pressure, and total- and HDL-cholesterol. We defined four risk regions in Europe according to country-specific CVD mortality, recalibrating models to each region using expected incidences and risk factor distributions. Region-specific incidence was estimated using CVD mortality and incidence data on 10 776 466 individuals. For external validation, we analysed data from 25 additional cohorts in 15 European countries (1 133 181 individuals, 43 492 CVD events). After applying the derived risk prediction models to external validation cohorts, C-indices ranged from 0.67 (0.65-0.68) to 0.81 (0.76-0.86). Predicted CVD risk varied several-fold across European regions. For example, the estimated 10-year CVD risk for a 50-year-old smoker, with a systolic blood pressure of 140 mmHg, total cholesterol of 5.5 mmol/L, and HDL-cholesterol of 1.3 mmol/L, ranged from 5.9% for men in low- risk countries to 14.0% for men in very high-risk countries, and from 4.2% for women in low-risk countries to 13.7% for women in very high-risk countries.Conclusion SCORE2-a new algorithm derived, calibrated, and validated to predict 10-year risk of first-onset CVD in European populations-enhances the identification of individuals at higher risk of developing CVD across Europe. Acknowledgements We thank investigators and participants of the several studies that contributed data to the Emerging Risk Factors Collaboration (ERFC). This research has been conducted using the UK Biobank Resource under Application Number 26865. Data from the Clinical Practice Research Datalink (CPRD) were obtained under licence from the UK Medicines and Healthcare products Regulatory Agency (protocol 162RMn2). CPRD uses data provided by patients and collected by the NHS as part of their care and support. We thank all EPIC participants and staff for their contribution to the study, the laboratory teams at the Medical Research Council Epidemiology Unit for sample management and Cambridge Genomic Services for genotyping, Sarah Spackman for data management and the team at the EPIC-CVD Coordinating Centre for study co-ordination and administration. Funding The ERFC co-ordinating centre was underpinned by programme grants from the British Heart Foundation (SP/09/002; RG/13/13/30194; RG/18/13/33946), BHF Centre of Research Excellence (RE/18/1/34212), the UK Medical Research Council (MR/L003120/1), and the National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre (BRC1215-20014), with project-specific support received from the UK NIHR [*], British United Provident Association UK Foundation and an unrestricted educational grant from GlaxoSmithKline. A variety of funding sources have supported recruitment, follow-up, and laboratory measurements in the studies contributing data to the ERFC, which are listed on the ERFC website (www.phpc.cam.ac.uk/ceu/erfc/list-of-studies). *The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. This work was supported by Health Data Research UK, which is funded by the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Department of Health and Social Care (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation, and Wellcome. The MORGAM Project has received funding from EU projects MORGAM (Biomed BMH4-CT98-3183), GenomEUtwin (FP5, QLG2-CT-2002-01254), ENGAGE (FP7, HEALTH-F4-2007-201413),CHANCES (FP7, HEALTH-F3-2010-242244), BiomarCaRE (FP7,HEALTH-F2-2011-278913), euCanSHare (Horizon 2020, No. 825903) and AFFECT-EU (Horizon 2020, No. 847770); and Medical Research Council, London (G0601463, No. 80983: Biomarkers in the MORGAM Populations). This has supported central coordination, workshops and part of the activities of the MORGAM Data Centre, the MORGAM Laboratories and the MORGAM Participating Centres EPIC-CVD was funded by the European Research Council (268834), and the European Commission Framework Programme 7 (HEALTH-F2-2012-279233). This work was supported by the Estonian Research Council grant PUTs (PRG687, PUT1660, PUT1665, PRG184), by European Union through the European Regional Development Fund project no. MOBERA5 (Norface Network project no 462.16.107), by the Green ICT programme under Norway Grants 2014 – 2021 (grant number EU53928), by the European Union through Horizon 2020 grant no. 810645 and through the European Regional Development Fund (Project No. 2014-2020.4.01.16-0125) and by the PRECISE4Q consortium. PRECISE4Q project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant agreement 777107. This work was partly funded through the CoMorMent project. CoMorMent has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant agreement 847776. The KORA study was initiated and financed by the Helmholtz Zentrum Mu¨nchen—German Research Center for Environmental Health, which is funded by the German Federal Ministry of Education and Research (BMBF) and by the State of Bavaria. The KORA study was supported by a research grant from the Virtual Institute of Diabetes Research (Helmholtz Zentrum Mu¨nchen), the Clinical Cooperation Group Diabetes between Ludwig-Maximilians-Universita¨t Mu¨nchen and Helmholtz Zentrum Mu¨nchen, and by the German Diabetes Center (DDZ). The HAPIEE project, Institute, was supported by grants from the Wellcome Trust (064947/Z/01/Z; WT081081) and US National Institute on Aging (1R01 and AG23522). The co-ordination of EPIC is financially supported by International Agency for Research on Cancer (IARC) and also by the Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, which has additional infrastructure support provided by the NIHR Imperial Biomedical Research Centre (BRC). The national cohorts are supported by: Danish Cancer Society (Denmark); Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Ge´ne´rale de l’Education Nationale, Institut National de la Sante´ et de la Recherche Me´dicale (INSERM) (France); German Cancer Aid, German Cancer Research Center (DKFZ), German Institute of Human Nutrition Potsdam Rehbruecke (DIfE), Federal Ministry of Education and Research (BMBF) (Germany); Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy, Compagnia di SanPaolo and National Research Council (Italy); Dutch 2448 SCORE2 working group and ESC Cardiovascular Risk Collaboration Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands (The Netherlands); Health Research Fund (FIS)—Instituto de Salud Carlos III (ISCIII), Regional Governments of Andalucı´a, Asturias, Basque Country, Murcia and Navarra, and the Catalan Institute of Oncology—ICO (Spain); Swedish Cancer Society, Swedish Research Council and County Councils of Ska˚ne and Va¨sterbotten (Sweden); Cancer Research UK (14136 to EPIC-Norfolk; C8221/A29017 to EPIC-Oxford), Medical Research Council (1000143 to EPIC-Norfolk; MR/M012190/1 to EPIC-Oxford) (United Kingdom)
Published: 2021

36. Clinical Characteristics, Management Strategies, and Outcomes of Non–ST‐Segment–Elevation Myocardial Infarction Patients With and Without Prior Coronary Artery Bypass Grafting

Author: Mamas A. Mamas, Tim Kinnaird, Muhammad Rashid, Colin Berry, Nick Curzen, Ayesha Ahmad, Ahmad Shoaib, Adam Timmis, and Evangelos Kontopantelis
Subjects: medicine.medical_specialty, Bypass grafting, medicine.medical_treatment, coronary artery bypass grafting, non–ST‐segment–elevation myocardial infarction, Myocardial Infarction, Coronary artery bypass grafting, Hemorrhage, Percutaneous coronary intervention, Risk Factors, Internal medicine, medicine, ST segment, Humans, Myocardial infarction, Mortality, Coronary Artery Bypass, Non-ST Elevated Myocardial Infarction, Original Research, Kidney in Cardiovascular Disease, business.industry, Revascularization, Elevation myocardial infarction, percutaneous coronary intervention, Elevation, medicine.disease, R1, mortality, Treatment, medicine.anatomical_structure, Treatment Outcome, Cardiology, Cardiology and Cardiovascular Medicine, business, Non ST-segment, Artery
Abstract: Background There are limited data on the management strategies, temporal trends and clinical outcomes of patients who present with non–ST‐segment–elevation myocardial infarction and have a prior history of CABG. Methods and Results We identified 287 658 patients with non–ST‐segment–elevation myocardial infarction between 2010 and 2017 in the United Kingdom Myocardial Infarction National Audit Project database. Clinical and outcome data were analyzed by dividing into 2 groups by prior history of coronary artery bypass grafting (CABG): group 1, no prior CABG (n=262 362); and group 2, prior CABG (n=25 296). Patients in group 2 were older, had higher GRACE (Global Registry of Acute Coronary Events) risk scores and burden of comorbid illnesses. More patients underwent coronary angiography (69% versus 63%) and revascularization (53% versus 40%) in group 1 compared with group 2. Adjusted odds of receiving inpatient coronary angiogram (odds ratio [OR], 0.91; 95% CI, 0.88–0.95; P P P =0.44), all‐cause mortality (OR, 0.96; 95% CI, 0.88–1.04; P =0.31), reinfarction (OR, 1.02; 95% CI, 0.89–1.17; P =0.78), and major bleeding (OR, 1.01; 95% CI, 0.90–1.11; P =0.98) were similar across groups. Lower adjusted risk of inpatient mortality (OR, 0.67; 95% CI, 0.46–0.98; P =0.04) but similar risk of bleeding (OR,1.07; CI, 0.79–1.44; P =0.68) and reinfarction (OR, 1.13; 95% CI, 0.81–1.57; P =0.47) were observed in group 2 patients who underwent percutaneous coronary intervention compared with those managed medically. Conclusions In this national cohort, patients with non–ST‐segment–elevation myocardial infarction with prior CABG had a higher risk profile, but similar risk‐adjusted in‐hospital adverse outcomes compared with patients without prior CABG. Patients with prior CABG who received percutaneous coronary intervention had lower in‐hospital mortality compared with those who received medical management.
Published: 2021

37. Impact of availability of catheter laboratory facilities on management and outcomes of acute myocardial infarction presenting with out of hospital cardiac arrest

Author: Rodrigo Bagur, Mohamed Dafaalla, Harindra C. Wijeysundera, Louise Y. Sun, Tom Quinn, Nick Curzen, Erin D. Michos, Muhammad Rashid, Adam Timmis, and Mamas A. Mamas
Subjects: Coronary angiography, medicine.medical_specialty, Catheters, Myocardial Infarction, Emergency Nursing, Out of hospital cardiac arrest, Percutaneous Coronary Intervention, medicine, Humans, In patient, Myocardial infarction, cardiovascular diseases, Hospital Mortality, National audit, business.industry, Health services research, health, medicine.disease, RC666, Catheter, Treatment Outcome, Conventional PCI, Emergency medicine, Emergency Medicine, Cardiology and Cardiovascular Medicine, business, Out-of-Hospital Cardiac Arrest, RC
Abstract: OBJECTIVES We aimed to identify whether the availability of catheter laboratory affects clinical outcomes of out-of-hospital cardiac arrest (OHCA) complicating myocardial infarction (AMI). METHODS Patients admitted with a diagnosis of AMI and OHCA from the Myocardial Ischaemia National Audit Project (MINAP) between 2010 to 2017 were stratified into three groups based on initial hospital's catheter laboratory status: hospitals without a catheter laboratory (No-catheter lab hospitals), hospitals with diagnostic catheter laboratory (Diagnostic hospitals), and hospitals with PCI facilities (PCI hospitals). We used multivariable logistic regression to evaluate factors associated with clinical outcomes. RESULTS We included 12,303 patients of which 9,798 were admitted to PCI hospitals, 1,595 to no-catheter lab hospitals, and 910 to diagnostic hospitals. Patients admitted to PCI hospitals were more frequently reviewed by a cardiologist (96%, p
Published: 2021

38. Emotional Health of People with Visual Impairment Caused by Retinitis Pigmentosa.

Author: Keziah Latham, Mohammad Baranian, Matthew Timmis, and Shahina Pardhan
Subjects: Medicine, Science
Abstract: PURPOSE:To understand the emotional difficulties associated with living with the ocular condition Retinitis Pigmentosa, and to examine the functioning of a self-report instrument used to assess this construct. METHODS:The difficulty of goals and tasks in the emotional health domain of the Dutch ICF Activity Inventory were rated by 166 people with Retinitis Pigmentosa in a cross-sectional study. Demographic factors were also assessed. RESULTS:Responses to the 23 emotional health tasks were Rasch analysed and could be used to form either one 20 item overview scale with some multidimensionality, or three unidimensional subscales addressing feelings (4 items), communicating visual loss (5 items) and fatigue (7 items). The most difficult individual tasks related to communicating visual loss to other people, and dealing with feelings such as frustration, anxiety and stress. The use of mobility aids and female gender were associated with increased difficulty with emotional health, explaining 19% of the variance in the overview scale. CONCLUSIONS:The emotional health domain of the Dutch ICF Activity Inventory is a valid tool to assess emotional difficulties arising from visual loss. Interventions to aid people with Retinitis Pigmentosa deal with emotional difficulties should particularly address communicating vision loss effectively to others and coping with negative feelings.
Published: 2015
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39. Correction: Determining disease intervention strategies using spatially resolved simulations.

Author: Mark Read, Paul S Andrews, Jon Timmis, Richard A Williams, Richard B Greaves, Huiming Sheng, Mark Coles, and Vipin Kumar
Subjects: Medicine, Science
Published: 2015
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40. How is jump performance affected in male athletes when completed with a visual impairment?

Author: Keziah Latham, Matthew A. Timmis, Andrew Morrison, Michael Ferrandino, and Peter M. Allen
Subjects: Adult, Male, medicine.medical_specialty, Visual acuity, Visual impairment, Vision Disorders, Visual Acuity, Vision, Low, Audiology, medicine.disease_cause, Young Adult, Vertical jump, Jumping, medicine, Humans, biology, Athletes, business.industry, biology.organism_classification, Confidence interval, Visual field, Ophthalmology, Jump, Visual Fields, medicine.symptom, business, Optometry
Abstract: SIGNIFICANCE:\ud \ud High-, long-, and triple-jump athletic events may need to consider whether it is appropriate to group vision-impaired athletes in the same classification with loss of different visual functions, and a greater emphasis may need to be placed on the visual field (VF) within the current classification system used.\ud \ud PURPOSE:\ud \ud Athletes with vision impairment are grouped, based on their visual function, into one of three different classes (B1, B2, and B3, with B1 being the most severe). Athletes in class B2 have loss in visual acuity (VA; range, 1.50 to 2.60 logMAR) or VF (constricted to a diameter of
Published: 2021

41. Outcomes of COVID‐19‐positive acute coronary syndrome patients: A multisource electronic healthcare records study from England

Author: Sarah C. Clarke, John E. Deanfield, Muhammad Rashid, Mark A de Belder, Azfar Zaman, Jianhua Wu, Ahmad Shoaib, Mohamed O. Mohamed, Mamas A. Mamas, James Nolan, Nick Curzen, Chris P Gale, and Adam Timmis
Subjects: Male, 0301 basic medicine, medicine.medical_specialty, Acute coronary syndrome, medicine.medical_treatment, Pneumonia, Viral, 030204 cardiovascular system & hematology, acute coronary syndrome, coronavirus disease 2019, 03 medical and health sciences, 0302 clinical medicine, RA0421, Risk Factors, Internal medicine, Prevalence, Internal Medicine, medicine, Electronic Health Records, Humans, Hospital Mortality, Myocardial infarction, Pandemics, Aged, SARS-CoV-2, business.industry, pandemic, Cardiogenic shock, COVID-19, Percutaneous coronary intervention, Odds ratio, RC666, medicine.disease, mortality, Confidence interval, Hospitalization, 030104 developmental biology, England, Conventional PCI, Female, Original Article, Guideline Adherence, business, Cohort study
Abstract: BACKGROUND: Patients with underlying cardiovascular disease and coronavirus disease 2019 (COVID‐19) infection are at increased risk of morbidity and mortality. OBJECTIVES: This study was designed to characterize the presenting profile and outcomes of patients hospitalized with acute coronary syndrome (ACS) and COVID‐19 infection. METHODS: This observational cohort study was conducted using multisource data from all acute NHS hospitals in England. All consecutive patients hospitalized with diagnosis of ACS with or without COVID‐19 infection between 1 March and 31 May 2020 were included. The primary outcome was in‐hospital and 30‐day mortality. RESULTS: A total of 12 958 patients were hospitalized with ACS during the study period, of which 517 (4.0%) were COVID‐19‐positive and were more likely to present with non‐ST‐elevation acute myocardial infarction. The COVID‐19 ACS group were generally older, Black Asian and Minority ethnicity, more comorbid and had unfavourable presenting clinical characteristics such as elevated cardiac troponin, pulmonary oedema, cardiogenic shock and poor left ventricular systolic function compared with the non‐COVID‐19 ACS group. They were less likely to receive an invasive coronary angiography (67.7% vs 81.0%), percutaneous coronary intervention (PCI) (30.2% vs 53.9%) and dual antiplatelet medication (76.3% vs 88.0%). After adjusting for all the baseline differences, patients with COVID‐19 ACS had higher in‐hospital (adjusted odds ratio (aOR): 3.27; 95% confidence interval (CI): 2.41–4.42) and 30‐day mortality (aOR: 6.53; 95% CI: 5.1–8.36) compared to patients with the non‐COVID‐19 ACS. CONCLUSION: COVID‐19 infection was present in 4% of patients hospitalized with an ACS in England and is associated with lower rates of guideline‐recommended treatment and significant mortality hazard.
Published: 2021

42. SCORE2-OP risk prediction algorithms: estimating incident cardiovascular event risk in older persons in four geographical risk regions

Author: Vries, T.I. de, Cooney, M.T., Selmer, R.M., Hageman, S.H.J., Pennells, L.A., Wood, A., Kaptoge, S., Xu, Z., Westerink, J., Rabanal, K.S., Tell, G.S., Meyer, H.E., Igland, J., Ariansen, I., Matsushita, K., Blaha, M.J., Nambi, V., Peters, R., Beckett, N., Antikainen, R., Bulpitt, C.J., Muller, M., Emmelot-Vonk, M.H., Trompet, S., Jukema, W., Ference, B.A., Halle, M., Timmis, A.D., Vardas, P.E., Dorresteijn, J.A.N., Bacquer, D. de, Angelantonio, E. di, Visseren, F.L.J., Graham, I.M., SCORE2-OP Working Grp, ESC Cardiovasc Risk Collaboration, Internal medicine, ACS - Atherosclerosis & ischemic syndromes, and APH - Aging & Later Life
Subjects: Cardiovascular event, Male, Myocardial Infarction, Blood Pressure, 030204 cardiovascular system & hematology, 03 medical and health sciences, 0302 clinical medicine, Clinical Research, Risk Factors, Primary prevention, Environmental health, Medicine, Humans, 030212 general & internal medicine, Aged, Risk assessment, Aged, 80 and over, business.industry, 10-Year CVD risk, Cardiovascular disease, Risk prediction, Stroke, Prediction algorithms, Older persons, Cardiovascular Diseases, Heart Disease Risk Factors, Female, Cardiology and Cardiovascular Medicine, business, Algorithms
Abstract: Aims The aim of this study was to derive and validate the SCORE2-Older Persons (SCORE2-OP) risk model to estimate 5- and 10-year risk of cardiovascular disease (CVD) in individuals aged over 70 years in four geographical risk regions. Methods and results Sex-specific competing risk-adjusted models for estimating CVD risk (CVD mortality, myocardial infarction, or stroke) were derived in individuals aged over 65 without pre-existing atherosclerotic CVD from the Cohort of Norway (28 503 individuals, 10 089 CVD events). Models included age, smoking status, diabetes, systolic blood pressure, and total- and high-density lipoprotein cholesterol. Four geographical risk regions were defined based on country-specific CVD mortality rates. Models were recalibrated to each region using region-specific estimated CVD incidence rates and risk factor distributions. For external validation, we analysed data from 6 additional study populations {338 615 individuals, 33 219 CVD validation cohorts, C-indices ranged between 0.63 [95% confidence interval (CI) 0.61–0.65] and 0.67 (0.64–0.69)}. Regional calibration of expected-vs.-observed risks was satisfactory. For given risk factor profiles, there was substantial variation across the four risk regions in the estimated 10-year CVD event risk. Conclusions The competing risk-adjusted SCORE2-OP model was derived, recalibrated, and externally validated to estimate 5- and 10-year CVD risk in older adults (aged 70 years or older) in four geographical risk regions. These models can be used for communicating the risk of CVD and potential benefit from risk factor treatment and may facilitate shared decision-making between clinicians and patients in CVD risk management in older persons.
Published: 2021

43. COVID-19: long covid and its societal consequences

Author: Harald Brüssow and Kenneth N. Timmis
Subjects: 0303 health sciences, 2019-20 coronavirus outbreak, medicine.medical_specialty, Social condition, Science & Technology, Coronavirus disease 2019 (COVID-19), 030306 microbiology, SARS-CoV-2, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Respiratory infection, COVID-19, Biology, Microbiology, STATE, 03 medical and health sciences, Post-Acute COVID-19 Syndrome, Social Conditions, medicine, Humans, Intensive care medicine, Life Sciences & Biomedicine, Lung, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology
Abstract: COVID-19 is an acute, highly transmissible respiratory infection that is potentially lethal, but often mild, sometimes asymptomatic, especially in the young. However, it has become clear that, in some patients, there may be sequelae involving tissues other than the lung, resulting in other types of morbidity, and sometimes longer term consequences that are often termed 'long covid'. In this Lilliput, we summarize recent findings about COVID-19 sequelae, with a particular focus on long covid. We also discuss some of the long scars that COVID-19 and long covid will collectively leave on society that we term Societal Long Covid. ispartof: ENVIRONMENTAL MICROBIOLOGY vol:23 issue:8 pages:4077-4091 ispartof: location:England status: published
Published: 2021

44. Variations in diabetes transition care for children and young people: a national survey

Author: Melanie Kershaw, Neil Wright, Fiona Regan, Josephine Drew, Alison Timmis, Eleri Williams, Juliana Chizo Agwu, Christopher Moudiotis, Astha Soni, Sze May Ng, and J. T. Lay
Subjects: Gerontology, Transition to Adult Care, Adolescent, business.industry, Endocrinology, Diabetes and Metabolism, medicine.disease, United Kingdom, Transition Care, Diabetes Mellitus, Type 1, Endocrinology, Surveys and Questionnaires, Diabetes mellitus, Internal Medicine, Humans, Medicine, business, Delivery of Health Care
Published: 2020

45. The effects of temporal pressure on obstacle negotiation and gaze behaviour in young adults with simulated vision loss

Author: Jonathan Allsop, Shahina Pardhan, Matthew A. Timmis, and Tjerk Zult
Subjects: Adult, Male, medicine.medical_specialty, Vision Disorders, lcsh:Medicine, Adaptation (eye), Fixation, Ocular, Kinematics, Anxiety, Article, 050105 experimental psychology, 03 medical and health sciences, 0302 clinical medicine, Physical medicine and rehabilitation, Blurred vision, medicine, Humans, 0501 psychology and cognitive sciences, lcsh:Science, Gait, Skeleton, Multidisciplinary, 05 social sciences, lcsh:R, Adaptation, Physiological, Gaze, Biomechanical Phenomena, Risk factors, Obstacle, Tripping, Fixation (visual), Female, lcsh:Q, medicine.symptom, Psychology, Psychomotor Performance, 030217 neurology & neurosurgery
Abstract: Individuals with vision loss adapt their locomotion and gaze behaviour to safely negotiate objects in temporally unconstrained situations. However, everyday activities are often performed under time-pressure. We investigated the effects of blur on anxiety, movement kinematics and gaze behaviour during the negotiation of a floor-based obstacle under three amounts of pressure: 1) no-pressure; 2) tonal-pressure: an intermittent tone was played at a constant frequency; 3) tonal + time pressure: the intermittent tone increased in frequency and participants had to walk 20% faster to reach the end of the lab. Irrespective of the amount of pressure, the blurred vs. normal vision group reported 32% more anxiety, lifted the lead foot 43% higher and 10% slower over the obstacle, and looked 6% longer and 6% more frequently ahead of the obstacle. In the tonal + time pressure vs. no-pressure condition, both groups were more anxious, showed adaptations in movement kinematics related to walking faster, and adopted a ‘checking strategy’ by shortening their fixation durations at the obstacle. These results show that irrespective of temporal pressure, the blurred vision group remained more cautious as to how the lead foot negotiated the obstacle, in order to reduce the chance of tripping during crossing.
Published: 2019

46. Statistics on mortality following acute myocardial infarction in 842 897 Europeans

Author: Chris P Gale, Bertil Lindahl, Tomas Jernberg, O A Alabas, Marlous Hall, Mark J. Rutherford, Keith A.A. Fox, Robert West, Harry Hemingway, Adam Timmis, and Mar Pujades-Rodriguez
Subjects: Male, Time Factors, Heart disease, Physiology, medicine.medical_treatment, 030204 cardiovascular system & hematology, 0302 clinical medicine, Risk Factors, Cause of Death, Myocardial Revascularization, Prevalence, Registries, UK, 030212 general & internal medicine, Myocardial infarction, Practice Patterns, Physicians', Non-ST Elevated Myocardial Infarction, Aged, 80 and over, education.field_of_study, Aspirin, Middle Aged, Treatment Outcome, MINAP, Practice Guidelines as Topic, SWEDEHEART, Female, Guideline Adherence, Cardiology and Cardiovascular Medicine, medicine.drug, Adult, medicine.medical_specialty, Adolescent, Population, Acute myocardial infarction, Revascularization, Young Adult, 03 medical and health sciences, Case mix index, Physiology (medical), Internal medicine, medicine, Hospital discharge, Humans, Healthcare Disparities, Mortality, education, Aged, Sweden, business.industry, Cardiovascular Agents, medicine.disease, United Kingdom, Confidence interval, ST Elevation Myocardial Infarction, business
Abstract: Aims To compare ST-segment elevation myocardial infarction (STEMI) and non-STEMI (NSTEMI) mortality between Sweden and the UK, adjusting for background population rates of expected death, case mix, and treatments. Methods and results National data were collected from hospitals in Sweden [n = 73 hospitals, 180 368 patients, Swedish Web-system for Enhancement and Development of Evidence-based care in Heart disease Evaluated According to Recommended Therapies (SWEDEHEART)] and the UK [n = 247, 662 529 patients, Myocardial Ischaemia National Audit Project (MINAP)] between 2003 and 2013. There were lower rates of revascularization [STEMI (43.8% vs. 74.9%); NSTEMI (27.5% vs. 43.6%)] and pharmacotherapies at time of hospital discharge including [aspirin (82.9% vs. 90.2%) and (79.9% vs. 88.0%), β-blockers (73.4% vs. 86.4%) and (65.3% vs. 85.1%)] in the UK compared with Sweden, respectively. Standardized net probability of death (NPD) between admission and 1 month was higher in the UK for STEMI [8.0 (95% confidence interval 7.4–8.5) vs. 6.7 (6.5–6.9)] and NSTEMI [6.8 (6.4–7.2) vs. 4.9 (4.7–5.0)]. Between 6 months and 1 year and more than 1 year, NPD remained higher in the UK for NSTEMI [2.9 (2.5–3.3) vs. 2.3 (2.2–2.5)] and [21.4 (20.0–22.8) vs. 18.3 (17.6–19.0)], but was similar for STEMI [0.7 (0.4–1.0) vs. 0.9 (0.7–1.0)] and [8.4 (6.7–10.1) vs. 8.3 (7.5–9.1)]. Conclusion Short-term mortality following STEMI and NSTEMI was higher in the UK compared with Sweden. Mid- and longer-term mortality remained higher in the UK for NSTEMI but was similar for STEMI. Differences in mortality may be due to differential use of guideline-indicated treatments.
Published: 2019

47. Exploring Self-Repair in a Coupled Spiking Astrocyte Neural Network

Author: Liam McDaid, David M. Halliday, Jon Timmis, Alan G. Millard, Anju P. Johnson, Shvan Karim, Jim Harkin, Andy M. Tyrrell, Junxiu Liu, and James A. Hilder
Subjects: Spiking neural network, Artificial neural network, Interneuron, Computer Networks and Communications, Computer science, Long-term potentiation, 02 engineering and technology, Endocannabinoid system, Computer Science Applications, Synapse, Synaptic weight, medicine.anatomical_structure, nervous system, Artificial Intelligence, Postsynaptic potential, Learning rule, 0202 electrical engineering, electronic engineering, information engineering, medicine, GABAergic, 020201 artificial intelligence & image processing, Temporal difference learning, Neuroscience, Software, Astrocyte
Abstract: It is now known that astrocytes modulate the activity at the tripartite synapses where indirect signaling via the retrograde messengers, endocannabinoids, leads to a localized self-repairing capability. In this paper, a self-repairing spiking astrocyte neural network (SANN) is proposed to demonstrate a distributed self-repairing capability at the network level. The SANN uses a novel learning rule that combines the spike-timing-dependent plasticity (STDP) and Bienenstock, Cooper, and Munro (BCM) learning rules (hereafter referred to as the BSTDP rule). In this learning rule, the synaptic weight potentiation is not only driven by the temporal difference between the presynaptic and postsynaptic neuron firing times but also by the postsynaptic neuron activity. We will show in this paper that the BSTDP modulates the height of the plasticity window to establish an input–output mapping (in the learning phase) and also maintains this mapping (via self-repair) if synaptic pathways become dysfunctional. It is the functional dependence of postsynaptic neuron firing activity on the height of the plasticity window that underpins how the proposed SANN self-repairs on the fly. The SANN also uses the coupling between the tripartite synapses and $\gamma $ -GABAergic interneurons. This interaction gives rise to a presynaptic neuron frequency filtering capability that serves to route information, represented as spike trains, to different neurons in the subsequent layers of the SANN. The proposed SANN follows a feedforward architecture with multiple interneuron pathways and astrocytes modulate synaptic activity at the hidden and output neuronal layers. The self-repairing capability will be demonstrated in a robotic obstacle avoidance application, and the simulation results will show that the SANN can maintain learned maneuvers at synaptic fault densities of up to 80% regardless of the fault locations.
Published: 2019

48. Association between time of hospitalization with acute myocardial infarction and in-hospital mortality

Author: Peter Ludman, Chris Wilkinson, Jianhua Wu, Marlous Hall, Mark deBelder, Adam Timmis, Keith A.A. Fox, Chris P Gale, and Tatendashe B Dondo
Subjects: Male, medicine.medical_specialty, Time Factors, Myocardial Infarction, Comorbidity, 030204 cardiovascular system & hematology, 03 medical and health sciences, 0302 clinical medicine, Case mix index, Internal medicine, Outcome Assessment, Health Care, medicine, Humans, Hospital Mortality, Myocardial infarction, Non-ST Elevated Myocardial Infarction, Clinical treatment, Aged, Aged, 80 and over, Wales, In hospital mortality, business.industry, Outcome measures, 030229 sport sciences, Odds ratio, Middle Aged, medicine.disease, Hospitalization, England, Acute Disease, Propensity score matching, ST Elevation Myocardial Infarction, Female, Cardiology and Cardiovascular Medicine, business
Abstract: Aim: To study the association between time of hospitalization and in-hospital mortality for acute myocardial infarction (AMI). Methods and Results: Patients admitted with ST-elevation myocardial infarction (STEMI) and non-STEMI (NSTEMI) across 243 hospitals in England and Wales between 1st January 2004 and 31st March 2013 were included. The outcome measure was in-hospital mortality. Adjusted odds ratios for in-hospital mortality were estimated across six four-hourly time periods over the 24-hour clock using multilevel logistic regression, inverse-probability weighting propensity score and instrumental variable analysis. Among 615,035 patients (median age 70.0 years, IQR 59.0 - 80.0 years; 406,519 (66.0%) men), there were 52,777 (8.8%) in-hospital deaths. At night, patients with NSTEMI were more frequently co-morbid, and for STEMI had longer symptom-onset-to-reperfusion times. For STEMI, unadjusted in-hospital mortality was highest between 20:00 and 23:59 (four-hour period range 8.4% to 9.9%; OR compared with 00:00 to 03:59 reference 1.13, 95% CI 1.07 to 1.20), and for NSTEMI highest between 12:00 to 15:59 (8.0% to 8.8%; OR compared with 00:00 to 03:59 reference 1.07, 95% CI 1.03 to 1.12). However, these differences were only apparent in the earlier years of the study, and were attenuated by adjustment for demographics, co-morbidities and clinical presentation. Differences were not statistically significant after adjustment for acute clinical treatment provided. Conclusions: There is little evidence to support an association between time of hospitalization and in-hospital mortality for acute myocardial infarction; variation in in-hospital mortality may be explained by case mix and the use of treatments.
Published: 2019

49. Guiding Therapy by Coronary CT Angiography Improves Outcomes in Patients With Stable Chest Pain

Author: Amanda Hunter, Edwin J.R. van Beek, Michelle C. Williams, Jonathon Leipsic, Rong Bing, John Norrie, Marcus Flather, Adam Timmis, Marwa Daghem, Amir Ahmadi, Marc R. Dweck, Alastair J Moss, David E. Newby, Colin Berry, Anoop S V Shah, Nicholas L. Mills, Giles Roditi, John F. Forbes, David A. McAllister, Jagat Narula, Philip D Adamson, Kenneth Mangion, Nicholas A. Boon, and Scot-Heart Investigators
Subjects: Male, medicine.medical_specialty, Chest Pain, Computed Tomography Angiography, Myocardial Infarction, Coronary Disease, 030204 cardiovascular system & hematology, NHS, National Health Service, Chest pain, Coronary Angiography, Risk Assessment, Article, Angina, Coronary artery disease, Electrocardiography, 03 medical and health sciences, 0302 clinical medicine, angina pectoris, Internal medicine, Myocardial Revascularization, medicine, Clinical endpoint, Humans, In patient, 030212 general & internal medicine, Myocardial infarction, coronary heart disease, Aged, business.industry, computed tomography, Middle Aged, Prognosis, medicine.disease, HR, hazard ratio, Coronary heart disease, Confidence interval, CI, confidence interval, Treatment Outcome, Cardiology, Female, CTA, computed tomography angiography, medicine.symptom, Cardiology and Cardiovascular Medicine, business, Tomography, X-Ray Computed, Follow-Up Studies
Abstract: Background Within the SCOT-HEART (Scottish COmputed Tomography of the HEART Trial) trial of patients with stable chest pain, the use of coronary computed tomography angiography (CTA) reduced the rate of death from coronary heart disease or nonfatal myocardial infarction (primary endpoint). Objectives This study sought to assess the consistency and mechanisms of the 5-year reduction in this endpoint. Methods In this open-label trial, 4,146 participants were randomized to standard care alone or standard care plus coronary CTA. This study explored the primary endpoint by symptoms, diagnosis, coronary revascularizations, and preventative therapies. Results Event reductions were consistent across symptom and risk categories (p = NS for interactions). In patients who were not diagnosed with angina due to coronary heart disease, coronary CTA was associated with a lower primary endpoint incidence rate (0.23; 95% confidence interval [CI]: 0.13 to 0.35 vs. 0.59; 95% CI: 0.42 to 0.80 per 100 patient-years; p, Central Illustration
Published: 2019

50. Red blood cell transfusion and mortality in trauma patients: risk-stratified analysis of an observational study.

Author: Pablo Perel, Tim Clayton, Doug G Altman, Peter Croft, Ian Douglas, Harry Hemingway, Aroon Hingorani, Katherine I Morley, Richard Riley, Adam Timmis, Danielle Van der Windt, Ian Roberts, and PROGRESS Partnership
Subjects: Medicine
Abstract: Haemorrhage is a common cause of death in trauma patients. Although transfusions are extensively used in the care of bleeding trauma patients, there is uncertainty about the balance of risks and benefits and how this balance depends on the baseline risk of death. Our objective was to evaluate the association of red blood cell (RBC) transfusion with mortality according to the predicted risk of death.A secondary analysis of the CRASH-2 trial (which originally evaluated the effect of tranexamic acid on mortality in trauma patients) was conducted. The trial included 20,127 trauma patients with significant bleeding from 274 hospitals in 40 countries. We evaluated the association of RBC transfusion with mortality in four strata of predicted risk of death: 50%. For this analysis the exposure considered was RBC transfusion, and the main outcome was death from all causes at 28 days. A total of 10,227 patients (50.8%) received at least one transfusion. We found strong evidence that the association of transfusion with all-cause mortality varied according to the predicted risk of death (p-value for interaction 50% predicted risk of death (OR 0.59, 95% CI 0.47-0.74, p
Published: 2014
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