Search

Your search keyword '"Cooksey, Roxanne"' showing total 44 results
Start Over Author "Cooksey, Roxanne"
44 results on '"Cooksey, Roxanne"'

15. Shielding reduced incidence of COVID-19 in patients with inflammatory arthritis but vulnerability is associated with increased mortality.

Author

Cooksey, Roxanne, Underwood, Jonathan, Brophy, Sinead, Atkinson, Mark, Kennedy, Jonathan, and Choy, Ernest

Subjects
*INFLAMMATION treatment, *ADVERSE health care events, *DATABASES, *COVID-19, *CONFIDENCE intervals, *PSYCHOLOGICAL vulnerability, *DISEASE incidence, *RETROSPECTIVE studies, *RISK assessment, *DESCRIPTIVE statistics, *ARTHRITIS, *POPULATION health, *ELECTRONIC health records, *LONGITUDINAL method, *PROPORTIONAL hazards models, MORTALITY risk factors
Abstract

Objectives Investigate whether individuals with inflammatory arthritis (IA), their treatments and shielding status affect the risk of adverse outcomes from COVID-19 for the entire population of Wales, UK. Methods Retrospective, population-based cohort study using linked, anonymized electronic health data from SAIL Databank, including primary/secondary care, rheumatology, Office for National Statistics Mortality and COVID-19 laboratory data. Individuals aged 18 years and over testing positive for COVID-19 between March 2020 and May 2021 with READ Codes present for rheumatoid arthritis, psoriatic arthritis and ankylosing spondylitis formed the study cases. Results A total of 1966 people with IA and 166 602 without tested positive for COVID-19. The incidence rate was 3.5% (1966/56 914) in IA, vs 6% in the general population (166 602/2 760 442), (difference: 2.5%, 95% CI: 2.4%, 2.7%, P  ≤0.001). In an adjusted Cox proportional hazard model, IA was not associated with higher mortality (HR: 0.56, 95% CI: 0.18, 1.64, P =0.286). Significant risk factors included shielding (HR: 1.52, 95% CI: 1.40, 1.64, P  ≤0.001), hospitalization for previous infections (HR: 1.20, 95% CI: 1.12, 1.28, P  ≤0.001), hospitalizations one year pre-pandemic (HR: 1.34, 95% CI: 1.25, 1.44, P  ≤0.001) and glucocorticoid use (HR: 1.17, 95% CI: 1.09, 1.25, P  ≤0.001). Conclusions Individuals with IA had a lower incidence of COVID-19, probably due to shielding. IA was not associated with increased mortality following COVID-19 infection; being vulnerable (shielded), comorbidities and other factors were associated with increased risk. These key risk factors can identify individuals with IA at greater risk from COVID-19 and advised to shield during high community prevalence. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

19. The information needs of people living with ankylosing spondylitis: a questionnaire survey

Author

Cooksey Roxanne, Brophy Sinead, Husain Muhammad Jami, Irvine Elizabeth, Davies Helen, and Siebert Stefan

Subjects
Ankylosing spondylitis, Information sources, Information needs, Education, Information usage, Diseases of the musculoskeletal system, RC925-935
Abstract

Abstract Background Today, health care is patient-centred with patients more involved in medical decision making and taking an active role in managing their disease. It is important that patients are appropriately informed about their condition and that their health care needs are met. We examine the information utilisation, sources and needs of people with Ankylosing Spondylitis (AS). Methods Participants in an existing AS cohort study were asked to complete a postal or online questionnaire containing closed and open-ended questions, regarding their information access and needs. Participants were stratified by age and descriptive statistics were performed using STATA 11, while thematic analysis was performed on open-ended question narratives. Qualitative data was handled in Microsoft Access and explored for emerging themes and patterns of experiences. Results Despite 73% of respondents having internet access, only 49% used the internet to access information regarding AS. Even then, this was only infrequently. Only 50% of respondents reported accessing written information about AS, which was obtained mainly in specialist clinics. Women were more likely than men to access information (63% (women) 46% (men)) regardless of the source, while younger patients were more likely to use online sources. The main source of non-written information was the rheumatologist. Overall, the respondents felt there was sufficient information available, but there was a perception that the tone was often too negative. The majority (95%) of people would like to receive a regular newsletter about AS, containing positive practical and local information. Suggestions were also made for more information about AS to be made available to non-specialist medical professionals and the general public. Conclusions There appears to be sufficient information available for people with AS in the UK and this is mostly accessed by younger AS patients. Many patients, particularly men, choose not to access AS information and concerns were raised about its negative tone. Patients still rely on written and verbal information from their specialists. Future initiatives should focus on the delivery of more positive information, targeting younger participants in particular and increasing the awareness in the general population and wider non-specialist medical community.

Published
2012
Full Text
View/download PDF

20. HERALD (Health Economics using Routine Anonymised Linked Data)

Author

Husain Muhammad J, Brophy Sinead, Macey Steven, Pinder Leila M, Atkinson Mark D, Cooksey Roxanne, Phillips Ceri J, and Siebert Stefan

Subjects
Computer applications to medicine. Medical informatics, R858-859.7
Abstract

Abstract Background Health economic analysis traditionally relies on patient derived questionnaire data, routine datasets, and outcomes data from experimental randomised control trials and other clinical studies, which are generally used as stand-alone datasets. Herein, we outline the potential implications of linking these datasets to give one single joined up data-resource for health economic analysis. Method The linkage of individual level data from questionnaires with routinely-captured health care data allows the entire patient journey to be mapped both retrospectively and prospectively. We illustrate this with examples from an Ankylosing Spondylitis (AS) cohort by linking patient reported study dataset with the routinely collected general practitioner (GP) data, inpatient (IP) and outpatient (OP) datasets, and Accident and Emergency department data in Wales. The linked data system allows: (1) retrospective and prospective tracking of patient pathways through multiple healthcare facilities; (2) validation and clarification of patient-reported recall data, complementing the questionnaire/routine data information; (3) obtaining objective measure of the costs of chronic conditions for a longer time horizon, and during the pre-diagnosis period; (4) assessment of health service usage, referral histories, prescribed drugs and co-morbidities; and (5) profiling and stratification of patients relating to disease manifestation, lifestyles, co-morbidities, and associated costs. Results Using the GP data system we tracked about 183 AS patients retrospectively and prospectively from the date of questionnaire completion to gather the following information: (a) number of GP events; (b) presence of a GP 'drug' read codes; and (c) the presence of a GP 'diagnostic' read codes. We tracked 236 and 296 AS patients through the OP and IP data systems respectively to count the number of OP visits; and IP admissions and duration. The results are presented under several patient stratification schemes based on disease severity, functions, age, sex, and the onset of disease symptoms. Conclusion The linked data system offers unique opportunities for enhanced longitudinal health economic analysis not possible through the use of traditional isolated datasets. Additionally, this data linkage provides important information to improve diagnostic and referral pathways, and thus helps maximise clinical efficiency and efficiency in the use of resources.

Published
2012
Full Text
View/download PDF

23. Parental factors associated with walking to school and participation in organised activities at age 5: Analysis of the Millennium Cohort Study

Author

Rodgers Sarah E, Thomas Non E, Lyons Ronan A, Cooksey Roxanne, Brophy Sinead, and Gravenor Michael B

Subjects
Public aspects of medicine, RA1-1270
Abstract

Abstract Background Physical activity is associated with better health. Two sources of activity for children are walking to school and taking part in organised sports and activities. This study uses a large national cohort to examine factors associated with participation in these activities. Methods The Millennium Cohort study contains 5 year follow-up of 17,561 singleton children recruited between 2000-2002 in the UK. All participants were interviewed in their own homes at 9 months, 3 years and 5 years follow-up and all measures were self reports. Logistic regression and likelihood ratio tests were used. Results Children are less likely to walk to school as income and parental education increase [Adjusted odds: 0.7 (95%CI: 0.6-0.8) for higher income/education compared to low income/no qualifications]. However, if the parent plays with the child in high income families the child is more likely to walk to school [Adjusted odds: 1.67 (95%CI: 1.3-2.1)]. Children taking part in organised activities are from higher income, higher education families, with a car, in a "good" area with non-working mothers. However, in low socio-economic families where the parent plays with the child the child is more likely to take part in organised activities [Adjusted odds: 2.0 (95% CI: 1.5-2.7)]. Conclusions Income is an important determinant of the type of activity available to children. Families that report good health behaviours (non-smoking, low TV viewing) and play with their children show higher levels of physical activity. Thus, parenting practice appears to have a strong impact on their child's physical activity.

Published
2011
Full Text
View/download PDF

24. Population based absolute and relative survival to 1 year of people with diabetes following a myocardial infarction: A cohort study using hospital admissions data

Author

Macey Steven M, Weston Clive, Gravenor Michael B, Cooksey Roxanne, Brophy Sinead, John Gareth, Williams Rhys, and Lyons Ronan A

Subjects
Public aspects of medicine, RA1-1270
Abstract

Abstract Background People with diabetes who experience an acute myocardial infarction (AMI) have a higher risk of death and recurrence of AMI. This study was commissioned by the Department for Transport to develop survival tables for people with diabetes following an AMI in order to inform vehicle licensing. Methods A cohort study using data obtained from national hospital admission datasets for England and Wales was carried out selecting all patients attending hospital with an MI for 2003-2006 (inclusion criteria: aged 30+ years, hospital admission for MI (defined using ICD 10 code I21-I22). STATA was used to create survival tables and factors associated with survival were examined using Cox regression. Results Of 157,142 people with an MI in England and Wales between 2003-2006, the relative risk of death or recurrence of MI for those with diabetes (n = 30,407) in the first 90 days was 1.3 (95%CI: 1.26-1.33) crude rates and 1.16 (95%CI: 1.1-1.2) when controlling for age, gender, heart failure and surgery for MI) compared with those without diabetes (n = 129,960). At 91-365 days post AMI the risk was 1.7 (95% CI 1.6-1.8) crude and 1.50 (95%CI: 1.4-1.6) adjusted. The relative risk of death or re-infarction was higher at younger ages for those with diabetes and directly after the AMI (Relative risk; RR: 62.1 for those with diabetes and 28.2 for those without diabetes aged 40-49 [compared with population risk]). Conclusions This is the first study to provide population based tables of age stratified risk of re-infarction or death for people with diabetes compared with those without diabetes. These tables can be used for giving advice to patients, developing a baseline to compare intervention studies or developing license or health insurance guidelines.

Published
2010
Full Text
View/download PDF

25. Risk factors for childhood obesity at age 5: Analysis of the Millennium Cohort Study

Author

Lyons Ronan A, Mistry Rupal, Thomas Non, Gravenor Michael B, Cooksey Roxanne, Brophy Sinead, and Williams Rhys

Subjects
Public aspects of medicine, RA1-1270
Abstract

Abstract Background Weight at age 5 is a predictor for future health of the individual. This study examines risk factors for childhood obesity with a focus on ethnicity. Methods Data from the Millennium Cohort study were used. 17,561 singleton children of White/European (n = 15,062), Asian (n = 1,845) or African (n = 654) background were selected. Logistic regression and likelihood ratio tests were used to examine factors associated with obesity at age 5. All participants were interviewed in their own homes. The main exposures examined included; Birth weight, sedentary lifestyle, family health behaviours, ethnicity, education and income. Results Children with a sedentary lifestyle, large at birth, with high risk family health behaviours (overweight mothers, smoking near the child, missing breakfast) and from a family with low income or low educational attainment, were more likely to be obese regardless of ethnicity. Feeding solid food before 3 months was associated with obesity in higher income White/European families. Even when controlling for socioeconomic status, ethnic background is an important independent risk factor for childhood obesity [Odds ratio of obesity; was 1.7 (95%CI: 1.2-2.3) for Asian and 2.7 (95%CI: 1.9-3.9) for African children, compared to White/European]. The final adjusted model suggests that increasing income does not have a great impact on lowering obesity levels, but that higher academic qualifications are associated with lower obesity levels [Odds of obesity: 0.63 (95%CI: 0.52-0.77) if primary carer leaves school after age 16 compared at age 16]. Conclusions Education of the primary carer is an important modifiable factor which can be targeted to address rising obesity levels in children. Interventions should be family centred supporting and showing people how they can implement lifestyle changes in their family.

Published
2009
Full Text
View/download PDF

26. Basic science232. Certolizumab pegol prevents pro-inflammatory alterations in endothelial cell function

Author

Heathfield, Sarah, Parker, Ben, Zeef, Leo, Bruce, Ian, Alexander, Yvonne, Collins, Fraser, Stone, Michael, Wang, Edward, Williams, Anwen S., Wright, Helen L., Thomas, Huw B., Moots, Robert J., Edwards, Steven W., Bullock, Craig, Chapman, Victoria, Walsh, David A., Mobasheri, Ali, Kendall, David, Kelly, Sara, Bayley, Rachel, Buckley, Chris D., Young, Stephen P., Rump-Goodrich, Lisa, Middleton, Jim, Chen, Liye, Fisher, Roman, Kollnberger, Simon, Shastri, Nilabh, Kessler, Benedikt M., Bowness, Paul, Nazeer Moideen, Abdul, Evans, Laura, Osgood, Louise, Jones, Simon A., Nowell, Mari A., Mahadik, Younis, Young, Stephen, Morgan, Matthew, Gordon, Caroline, Harper, Lorraine, Giles, Joanna L., Paul Morgan, B., Harris, Claire L., Rysnik, Oliwia J., McHugh, Kirsty, Payeli, Sravan, Marroquin, Osiris, Shaw, Jacqueline, Renner, Christoph, Nayar, Saba, Cloake, Tom, Bombardieri, Michele, Pitzalis, Costantino, Buckley, Chris, Barone, Francesca, Lane, Peter, Coles, Mark, Williams, Emma L., Edwards, Christopher J., Cooper, Cyrus, Oreffo, Richard O., Dunn, Sara, Crawford, Aileen, Wilkinson, Mark, Le Maitre, Christine, Bunning, Rowena, Daniels, Jodie, Phillips, Kate L. E., Chiverton, Neil, Le Maitre, Christine L., Shaw, Jackie, Ridley, Anna, Wong-Baeza, Isabel, Keidel, Sarah, Chan, Antoni, Gullick, Nicola J., Abozaid, Hanan S., Jayaraj, David M., Evans, Hayley G., Scott, David L., Choy, Ernest H., Taams, Leonie S., Hickling, M., Golor, G., Jullion, A., Shaw, S., Kretsos, K., Bari, Syed F., Rhys-Dillon, Brian, Amos, Nicholson, Siebert, Stefan, Bunning, Rowena D., Haddock, Gail, Cross, Alison K., Kate, I., Phillips, E., Cross, Alison, Bunning, Rowena A. D., Ceeraz, Sabrina, Spencer, Jo, Choy, Ernest, Corrigall, Valerie, Crilly, Anne, Palmer, Helen, Lockhart, John, Plevin, Robin, Ferrell, William R., McInnes, Iain, Hutchinson, David, Perry, Liz, DiCicco, Maria, Humby, Frances, Kelly, Stephen, Hands, Rebecca, McInnes, Ian, Taylor, Peter, Mehta, Puja, Mitchell, Adam, Tysoe, Carolyn, Caswell, Richard, Owens, Martina, Vincent, Tonia, Hashmi, Tahir M., Price-Forbes, Alec, Sharp, Charlotte A., Murphy, Helen, Wood, Elizabeth F., Doherty, Teresa, Sheldon, Jo, Sofat, Nidhi, Goff, Iain, Platt, Philip N., Abdulkader, Rita, Clunie, Gavin, Ismajli, Mediola, Nikiphorou, Elena, Young, Adam, Tugnet, Nicola, Dixey, Josh, Banik, Snehashish, Alcorn, Desmond, Hunter, John, Win Maw, Win, Patil, Pravin, Hayes, Fiona, Main Wong, Way, Borg, Frances A., Dasgupta, Bhaskar, Malaviya, Anshuman P., Ostor, Andrew J., Chana, Jasroop K., Ahmed, Azeem A., Edmonds, Sally, Coward, Lucy, Borg, Frances, Heaney, Jonathan, Amft, Nicole, Simpson, John, Dhillon, Veena, Ayalew, Yezenash, Khattak, Fazlihakim, Gayed, Mary, Amarasena, Roshan I., McKenna, Frank, Mc Laughlin, Maeve, Baburaj, Krishnan, Fattah, Zozik, Ng, Nora, Wilson, Jo, Colaco, Bernard, Williams, Mark R., Adizie, Tochukwu, Casey, Matthew, Lip, Stefanie, Tan, Shaun, Anderson, David, Robertson, Calum, Devanny, Ian, Field, Max, Walker, David, Robinson, Sandra, Ryan, Sarah, Hassell, Andrew, Bateman, James, Allen, Maggie, Davies, David, Crouch, Carina, Walker-Bone, Karen, Gainsborough, Nicola, Lutalo, Pamela M., Davies, Ursula M., Mckew, Jennifer R., Millar, Auleen M., Wright, Stephen A., Bell, Aubrey L., Thapper, Muryum, Roussou, Thalia, Cumming, Jo, Hull, Richard G., McKeogh, John, O'Connor, Mortimer B., Hassan, Ahmed I., Bond, Ursula, Swan, Joan, Phelan, Mark J., Coady, David, Kumar, Namita, Farrow, Luke, Bukhari, Marwan, Oldroyd, Alexander G., Greenbank, Cathi, McBeth, John, Duncan, Rosie, Brown, Deborah, Horan, Michael, Pendleton, Neil, Littlewood, Alison, Cordingley, Lis, Mulvey, Matthew, Curtis, Elizabeth M., Cole, Zoe A., Crozier, Sarah R., Georgia, Ntani, Robinson, Siân M., Godfrey, Keith M., Sayer, Avan A., Inskip, Hazel M., Harvey, Nicholas C., Davies, Rebecca, Mercer, Louise, Galloway, James, Low, Audrey, Watson, Kath, Lunt, Mark, Symmons, Deborah, Hyrich, Kimme, Chitale, Sarang, Estrach, Cristina, Goodson, Nicola J., Rankin, Elizabeth, Jiang, C. Q., Cheng, K. K., Lam, T. H., Adab, Peymané, Ling, Stephanie, Humphreys, Jennifer, Ellis, Corrinne, Bunn, Diane, Verstappen, Suzanne M., Fluess, Elisa, Macfarlane, Gary J., Bond, Christine, Jones, Gareth T., Scott, Ian C., Steer, Sophia, Lewis, Cathryn M., Cope, Andrew, Mulvey, Matthew R., Lovell, Karina, Keeley, Philip, Woby, Steve, Beasley, Marcus, Viatte, Sebastien, Plant, Darren, Fu, Bo, Solymossy, Csilla, Worthington, Jane, Barton, Anne, Williams, Frances M., Osei-Bordom, Daniel-Clement, Popham, Maria, MacGregor, Alex, Spector, Tim, Little, Jayne, Herrick, Ariane, Pushpakom, S., Ennis, H., McBurney, H., Worthington, J., Newman, W., Ibrahim, Ibrahim, Morgan, Anne, Wilson, Anthony, Isaacs, John, Sanderson, Tessa, Hewlett, Sarah, Calnan, Michael, Morris, Marianne, Raza, Karim, Kumar, Kanta, Cardy, Caroline M., Pauling, John D., Jenkins, Jessica, Brown, Sue J., McHugh, Neil, Mugford, Miranda, Davies, Charlotte, Cooper, Nicola, Brooksby, Alan, Dures, Emma, Ambler, Nick, Fletcher, Debbie, Pope, Denise, Robinson, Frances, Rooke, Royston, Gorman, Claire L., Reynolds, Piero, Hakim, Alan J., Bosworth, Ailsa, Weaver, Dan, Kiely, Patrick D., Skeoch, Sarah, Jani, Meghna, Amarasena, Roshan, Rao, Chandini, Macphie, Elizabeth, McLoughlin, Yokemei, Shah, Preeti, Else, Sara, Semenova, Olga, Thompson, Helen, Ogunbambi, Olabambo, Kallankara, Sathish, Patel, Yusuf, Baguley, Elaine, Halsey, John, Severn, Andrew, Selvan, Shilpa, Price, Elizabeth, Husain, Muhammad J., Brophy, Sinead, Phillips, Ceri J., Cooksey, Roxanne, Irvine, Elizabeth, Lendrem, Dennis, Mitchell, Sheryl, Bowman, Simon, Pease, Colin T., Emery, Paul, Andrews, Jacqueline, Sutcliffe, Nurhan, Lanyon, Peter, Gupta, Monica, McLaren, John, Regan, Marian, Cooper, Annie, Giles, Ian, Isenberg, David, Griffiths, Bridget, Foggo, Heather, Edgar, Suzanne, Vadivelu, Saravanan, Ng, Wan-Fai, Iqbal, Itrat, Heron, Louise, Pilling, Claire, Marks, Jonathan, Hull, Richard, Ledingham, Jo, Han, Chenglong, Gathany, Tim, Tandon, Neeta, Hsia, Elizabeth, Taylor, P., Strand, V., Sensky, T., Harta, N., Fleming, S., Kay, Lesley, Rutherford, Michelle, Nicholl, Karl, Eyre, Tracey, Wilson, Gillian, Johnson, Phil, Russell, M., Timoshanko, J., Duncan, G., Spandley, A., Roskell, S., West, Louise, Adshead, Rebecca, Donnelly, Simon P., Ashton, Simon, Tahir, Hasan, Patel, Dipti, Darroch, James, Boulton, John, Ellis, Benjamin, Finlay, Ron, Murray-Brown, William, Priori, R., Tappuni, T., Vartoukian, S., Seoudi, N., Picarelli, G., Fortune, F., Valesini, G., Pitzalis, C., Bombardieri, M., Ball, Elisabeth, Rooney, Madeleine, Bell, Aubrey, Mérida, Angeles Acosta, Tarelli, Edward, Axford, John, Pericleous, Charis, Pierangeli, Silvia S., Ioannou, John, Rahman, Anisur, Alavi, Azita, Hughes, Michael, Evans, Bronwen, Zaki, Awal, Hui, Michelle, Garner, Rozeena, Rees, Frances, Bavakunji, Riaz, Daniel, Priya, Varughese, Sneha, Srikanth, Asha, Andres, Mariano, Pearce, Fiona, Leung, Jansen, Lim, Ken, Oomatia, Amin, Petri, Michelle, Fang, Hong, Birnbaum, Julius, Amissah-Arthur, Maame, Stewart, Kirsty, Jennens, Hannah, Braude, Simon, Sutton, Emily J., Watson, Kath D., Yee, Chee-Seng, Jayne, David, Akil, Mohammed, Ahmad, Yasmeen, D'Cruz, David, Khamashta, Munther, Teh, Lee-Suan, Zoma, Asad, Dey, Ida D., Kenu, Ernest, Garza-Garcia, Acely, Murfitt, Lucy, Driscoll, Paul C., Pierangeli, Silvia, Ioannou, Yiannis, Reynolds, John A., Ray, David W., O'Neill, Terence, Segeda, Iuliia, Shevchuk, Sergii, Kuvikova, Inna, Brown, Nina, Venning, Michael, Dhanjal, Mandish, Mason, Justin, Nelson-Piercy, Catherine, Basu, Neil, Paudyal, Priya, Stockton, Marie, Lawton, Sally, Dent, Caroline, Kindness, Kathy, Meldrum, Gillian, John, Elizabeth, Arthur, Catherine, West, Lucy, Macfarlane, Matthew V., Reid, David M., Yates, Max, Loke, Yoon, Watts, Richard, Christidis, Dimitrios, Williams, Mark, Sivakumar, Rajappa, Misra, Ramnath, Danda, Debashish, Mahendranath, K. M., Bacon, Paul A., and Mackie, Sarah L.

Abstract

Background: Cardiovascular disease is a major comorbidity of rheumatoid arthritis (RA) and a leading cause of death. Chronic systemic inflammation involving tumour necrosis factor alpha (TNF) could contribute to endothelial activation and atherogenesis. A number of anti-TNF therapies are in current use for the treatment of RA, including certolizumab pegol (CZP), (Cimzia ®; UCB, Belgium). Anti-TNF therapy has been associated with reduced clinical cardiovascular disease risk and ameliorated vascular function in RA patients. However, the specific effects of TNF inhibitors on endothelial cell function are largely unknown. Our aim was to investigate the mechanisms underpinning CZP effects on TNF-activated human endothelial cells. Methods: Human aortic endothelial cells (HAoECs) were cultured in vitro and exposed to a) TNF alone, b) TNF plus CZP, or c) neither agent. Microarray analysis was used to examine the transcriptional profile of cells treated for 6 hrs and quantitative polymerase chain reaction (qPCR) analysed gene expression at 1, 3, 6 and 24 hrs. NF-κB localization and IκB degradation were investigated using immunocytochemistry, high content analysis and western blotting. Flow cytometry was conducted to detect microparticle release from HAoECs. Results: Transcriptional profiling revealed that while TNF alone had strong effects on endothelial gene expression, TNF and CZP in combination produced a global gene expression pattern similar to untreated control. The two most highly up-regulated genes in response to TNF treatment were adhesion molecules E-selectin and VCAM-1 (q < 0.00005). This was supported by qPCR analysis at 6 hrs (E-selectin and VCAM-1; 208.5 fold and 40.5, respectively above control) and also at 1, 3 and 24 hrs (E-selectin; 25.6, 93.5, 12.7 fold, respectively) (VCAM-1; 4.7, 47.2, 17.6 fold) (n = 3; p < 0.05). In contrast, HAoECs treated with TNF in combination with CZP exhibited control levels of E-selectin and VCAM-1 transcript (p > 0.2 compared to control; p > 0.05 compared to TNF alone). The NF-κB pathway was confirmed as a downstream target of TNF-induced HAoEC activation, via nuclear translocation of NF-κB and degradation of IκB, effects which were abolished by treatment with CZP. In addition, flow cytometry detected an increased production of endothelial microparticles in TNF-activated HAoECs, which was prevented by treatment with CZP. Conclusions: We have found at a cellular level that a clinically available TNF inhibitor, CZP reduces the expression of adhesion molecule expression, and prevents TNF-induced activation of the NF-κB pathway. Furthermore, CZP prevents the production of microparticles by activated endothelial cells. This could be central to the prevention of inflammatory environments underlying these conditions and measurement of microparticles has potential as a novel prognostic marker for future cardiovascular events in this patient group. Disclosure statement: Y.A. received a research grant from UCB. I.B. received a research grant from UCB. S.H. received a research grant from UCB. All other authors have declared no conflicts of interest

Published
2017

27. BHPR research: qualitative1. Complex reasoning determines patients' perception of outcome following foot surgery in rheumatoid arhtritis

Author

Backhouse, Michael R., Vinall, Karen A., Redmond, Anthony, Helliwell, Philip, Keenan, Anne-Maree, Dale, Rebecca M., Thomas, Amanda, Aronson, Diane, Turner-Cobb, Julie, Sengupta, Raj, France, Brisa, Hill, Ingrid, Flurey, Caroline A., Morris, Marianne, Pollock, Jon, Hughes, Rod, Richards, Pam, Hewlett, Sarah, Ryan, Sarah, Lille, Kate, Adams, Jo, Haq, Inam, McArthur, Margaret, Goodacre, Lynne, Birt, Linda, Wilson, Oonagh, Kirwan, John, Dures, Emma, Quest, Enid, Rajak, Rizwan, Thomas, Tasmin, Lawson, Tom, Petford, Sharon, Hale, Elizabeth, Kitas, George D., Gooberman-Hill, Rachael, Jinks, Clare, Dziedzic, Krysia, Bouças, Sofia Barbosa, Hislop, Kelly, Rhodes, Carol, Ali, Fizzah, Ong, Bie Nio, White, Derrick, Hensor, Elizabeth, Ferguson, Anna M., Douiri, Abdel, Scott, David L., Lempp, Heidi, Halls, Serena, Law, Rebecca-Jane, Jones, Jeremy, Markland, David, Maddison, Peter, Thom, Jeanette, Thom, Jeanette M., Breslin, Anne, Kraus, Alexandra, Gordhan, Chandrika, Dennis, Sean, Connor, John, Chowdhary, Bhavani, Lottay, Neena, Juneja, Parmjit, Bacon, Paul A., Isaacs, David, Jack, James, Keller, Majella, Tibble, Jeremy, Hammond, Alison, Gill, Rachel, Tyson, Sarah, Tennant, Alan, Nordenskiold, Ulla, Pease, Emily E., Pease, Colin T., Trehane, Anne, Rahmeh, Fouz, Cornell, Patricia, Westlake, Sarah L., Rose, Katy, Alber, Catherine Fouad, Watson, Liam, Stratton, Richard, Lazarus, Mark, McNeilly, Natasha E., Waterfield, Jackie, Hurley, Mike, Greenwood, James, Clayton, Ann M., Lynch, Michael, Clewes, Adrian, Dawson, Julie, Abernethy, Veronica, Griffiths, Ann E., Chamberlain, Victoria A., McLoughlin, YokeMei, Campbell, Sophie, Hayes, Janita, Moffat, Claire, McKenna, Frank, Shah, Preeti, Williams, Ann, Rhys-Dillon, Ceril, Goodfellow, Rhian, Martin, James C., Bari, Farhan, Hughes, Gwenan, Thomas, Eleri, Baker, Sarah, Collins, David, Price, Elizabeth, Williamson, Lyn, Dunkley, Lisa, Youll, Matthew J., Rodziewicz, Mia, Reynolds, John A., Berry, Jacqueline, Pavey, Chee, Hyrich, Kimme, Gorodkin, Rachel, Wilkinson, Kate, Bruce, Ian, Barton, Anne, Silman, Alan, Ho, Pauline, Cornell, Tricia, Richards, Selwyn, Holmes, A., Parker, S., Smith, H., Briggs, N., Arthanari, S., Nisar, M., Thwaites, Catharine, Kamath, Sanjeet, Price, Shyra, Robinson, Sandra M., Walker, David, Coop, Hazel, Al-Allaf, Wahab, Charleton, Rebecca C., Griffiths, Bridget, Edwards, Elizabeth A., Partlett, Rosamund, Martin, Keith, Tarzi, Mike, Panthakalam, Sathianathan, Freeman, Tanya, Ainley, Louise, Turner, Michael, Hughes, Lyndsay, Russell, Bridget, Jenkins, Suzanne, Done, John, Young, Adam, Jones, Tadeusz, Gaywood, Ian C., Pande, Ira, Pradère, Marie-Josèphe, Bhaduri, Mahua, Smith, Angela, Cook, Haley, Abraham, Sonya, Ngcozana, Tanaka, Denton, Christopher P., Parker, Louise, Black, Carol M., Ong, Voon, Thompson, Nicola, White, Catherine, Duddy, Martin, Jobanputra, Paresh, Bacon, Pauline, Smith, Jacqueline, Richardson, Ann, Giancola, Giorgio, Soh, Vicky, Spencer, Simon, Greenhalgh, Ann, Hanson, Mark, De Lord, Denise, Lloyd, Mark, Wong, Henna, Wren, Damian, Grover, Bob, Hall, John, Neville, Cai, Alton, Peter, Kelly, Stephen, Bombardieri, Michele, Humby, Fran, Ng, Nora, Di Cicco, Maria, Hands, Rebecca, Epis, Oscar, Filer, Andrew, Buckley, Christopher, McInnes, Iain, Taylor, Peter, Pitzalis, Costantino, Freeston, Jane, Conaghan, Philip, Grainger, Andrew, O'Connor, Philip J., Evans, Rob, Emery, Paul, Hodgson, Richard, Fleischmann, Roy, Han, Chenglong, van der Heijde, Desiree, Xu, Weichun, Hsia, Elizabeth, Kavanaugh, Arthur, Gladman, Dafna, Chattopadhyay, Chandrabhusan, Beutler, Anna, Zayat, Ahmed S., Ellegard, Karen, Terslev, Lene, Wakefield, Richard J., Ciurtin, Coziana, Leandro, Maria, Dey, Dzifa, Nandagudi, Anupama, Giles, Ian, Shipley, Mike, Morris, Vanessa, Ioannou, John, Ehrenstein, Michael, Sen, Debajit, Chan, Marian, Quinlan, Tim M., Brophy, Richard, Mewar, Devesh, Patel, Dipti, Wilby, M. J., Pellegrini, Vincent, Eyes, Brian, Crooks, Daniel, Anderson, Marina, Ball, Elisabeth, McKeeman, Helen, Burns, James, Yau, Wing Hoi, Moore, Owen, Foo, Joanne, Benson, Claire, Patterson, Chris, Wright, Gary, Taggart, Allister, Drew, Sarah, Tanner, Lorraine, Sanyal, Kaushik, Bourke, Brian E., Alston, Claire, Baqai, Charlotte, Chard, Michael, Sandhu, Virinderjit, Jordan, Kelsey, Munns, Catherine, Zouita, Louisa, Shattles, Warren, Davies, Ursula, Makadsi, Raad, Griffith, Sian, Kiely, Patrick D., Dimofte, Ionela, Dabu, Mihaela, Dabu, Bogdan, Dobarro, David, Schreiber, Benjamin E., Warrell, Clare, Handler, Clive, Coghlan, Gerry, Denton, Chris, Ishorari, Jasmine, Bunn, Chris, Beynon, Huw, George Malal, Joby J., Boton-Maggs, Ben, Leung, Alexander, Farewell, Daniel, Choy, Ernest, Gullick, Nicola J., Choy, Ernest H., Wincup, Chris, Fisher, Ben, Charles, Peter, Pollard, Louise C., Kirkham, Bruce W., Ma, Margaret H., Ramanujan, Saroja, Cavet, Guy, Haney, Doug, Kingsley, Gabrielle H., Scott, David, Cope, Andrew, Singh, Animesh, Wilson, Jo, Isaacs, Anthony, Wing, Charlotte, McLaughlin, Maeve, Penn, Henry, Genovese, Mark C., Sebba, Anthony, Rubbert-Roth, Andrea, Scali, Juan, Zilberstein, Moshe, Thompson, Liz, Van Vollenhoven, Ronald, De Benedetti, Fabrizio, Brunner, Hermine, Allen, Roger, Brown, Diane, Chaitow, Jeffrey, Pardeo, Manuela, Espada, Graciela, Flato, Berit, Horneff, Gerd, Devlin, Clare, Kenwright, Andrew, Schneider, Rayfel, Woo, Patricia, Martini, Alberto, Lovell, Daniel, Ruperto, Nicola, John, Holly, Hale, Elizabeth D., Treharne, Gareth J., Carroll, Douglas, Mercer, Louise, Low, Audrey, Galloway, James, Watson, Kath, Lunt, Mark, Symmons, Deborah, Davies, Rebecca, Dixon, William, Balarajah, Sharmili, Sandhu, Amrita, Ariyo, Mercy, Rankin, Elizabeth, Sandoo, Aamer, van Zanten, Jet J. Veldhuijzen, Toms, Tracey E., Smith, Jacqueline P., Malik, Saadia, Toberty, Elizabeth, Thalayasingam, Nishanthi, Hamilton, Jennifer, Kelly, Clive, Puntis, Daniel, Saravanan, Vadivelu, Rynne, Martin, Heycock, Carol, Winter, Richard, Wardle, Phil, Toms, Tracey, Cadman, Susan, Nightingale, Peter, Kitas, George, Alhusain, Awal Z., Verstappen, Suzanne M., Mirjafari, Hoda, Charlton-Menys, Valentine, Bunn, Diane, Durrington, Paul, Cooney, Jennifer K., Moore, Jonathan P., Lemmey, Andrew, Jones, Jeremy G., Maddison, Peter J., Ahmad, Yasmeen A., Ahmed, Tazeen J., Leone, Francesca, Browne, Hannah K., Wig, Surabhi, Chevance, Aurelie, Moore, Tonia, Manning, Joanne, Vail, Andy, Herrick, Ariane L., Derrett-Smith, Emma, Hoyles, Rachel, Moinzadeh, Pia, Chighizola, Cecilia, Khan, Korsa, Abraham, David, Warrell, Clare E., Sykes, Rebecca, Muir, Lindsay, Ennis, Holly, Shiwen, Xu, Thompson, Katherine, Liu, Shangxi, Leask, Andrew, Abraham, David J., Strickland, Gemma, Pauling, John, Betteridge, Zoe, Dunphy, Juliet, Owen, Pat, McHugh, Neil, Abignano, Giuseppina, Cuomo, Giovanna, Buch, Maya H., Rosenberg, William M., Valentini, Gabriele, Del Galdo, Francesco, Jenkins, Jessica, Pauling, John D., Howell, Kevin, Nihtyanova, Svetlana, Fonseca, Carmen, Malaviya, Anshuman P., Hadjinicolaou, Andreas V., Nisar, Muhammad K., Ruddlesden, Michael, Furlong, Anita, Baker, Sharon, Hall, Frances C., Raut-Roy, Dominique, Peluso, Rosario, Dario Di Minno, M. N., Iervolino, Salvatore, Costa, Luisa, Atteno, Mariangela, Lofrano, Mariana, Soscia, Ernesto, Castiglione, Fabiana, Foglia, Francesca, Scarpa, Raffaele, Wallis, Dinny, Dougados, Maxime, Keystone, Edward, Heckaman, Michele, Mease, Philip, Landewé, Robert, Nguyen, Dianne, Winfield, Rachel A., Dyke, Claire, Clemence, Mark, Mackay, Kirsten, Haywood, Kirstie L., Packham, Jon, Jordan, Kelvin P., Davies, Helen, Brophy, Sinead, Irvine, Elizabeth, Cooksey, Roxanne, Dennis, Michael S., Siebert, Stefan, Ibrahim, Fowzia, Krueger, Gerald, Gathany, Tim, Mudivarthy, Surekha, Mack, Michael, Tandon, Neeta, Sieper, Joachim, Braun, Jürgen, van der Heijde, Désirée, Isaacs, John, Dahmen, Georg, Wollenhaupt, Jürgen, Schulze-Koops, Hendrik, Gsteiger, Sandro, Bertolino, Arthur, Hueber, Wolfgang, Tak, Paul P., Cohen, Carla J., Karaderi, Tugce, Pointon, Jennifer J., Wordsworth, Bryan P., Keidel, Sarah, Farrar, Claire, Appleton, Louise H., Adshead, Rebecca, Tahir, Hasan, Greenwood, Mandy, Donnelly, Simon P., Wajed, Julekha, and Kirkham, Bruce

Abstract

Background: Foot surgery is common in patients with RA but research into surgical outcomes is limited and conceptually flawed as current outcome measures lack face validity: to date no one has asked patients what is important to them. This study aimed to determine which factors are important to patients when evaluating the success of foot surgery in RA Methods: Semi structured interviews of RA patients who had undergone foot surgery were conducted and transcribed verbatim. Thematic analysis of interviews was conducted to explore issues that were important to patients. Results: 11 RA patients (9 ♂, mean age 59, dis dur = 22yrs, mean of 3 yrs post op) with mixed experiences of foot surgery were interviewed. Patients interpreted outcome in respect to a multitude of factors, frequently positive change in one aspect contrasted with negative opinions about another. Overall, four major themes emerged. Function: Functional ability & participation in valued activities were very important to patients. Walking ability was a key concern but patients interpreted levels of activity in light of other aspects of their disease, reflecting on change in functional ability more than overall level. Positive feelings of improved mobility were often moderated by negative self perception ("I mean, I still walk like a waddling duck”). Appearance: Appearance was important to almost all patients but perhaps the most complex theme of all. Physical appearance, foot shape, and footwear were closely interlinked, yet patients saw these as distinct separate concepts. Patients need to legitimize these feelings was clear and they frequently entered into a defensive repertoire ("it's not cosmetic surgery; it's something that's more important than that, you know?”). Clinician opinion: Surgeons' post operative evaluation of the procedure was very influential. The impact of this appraisal continued to affect patients' lasting impression irrespective of how the outcome compared to their initial goals ("when he'd done it ... he said that hasn't worked as good as he'd wanted to ... but the pain has gone”). Pain: Whilst pain was important to almost all patients, it appeared to be less important than the other themes. Pain was predominately raised when it influenced other themes, such as function; many still felt the need to legitimize their foot pain in order for health professionals to take it seriously ("in the end I went to my GP because it had happened a few times and I went to an orthopaedic surgeon who was quite dismissive of it, it was like what are you complaining about”). Conclusions: Patients interpret the outcome of foot surgery using a multitude of interrelated factors, particularly functional ability, appearance and surgeons' appraisal of the procedure. While pain was often noted, this appeared less important than other factors in the overall outcome of the surgery. Future research into foot surgery should incorporate the complexity of how patients determine their outcome Disclosure statement: All authors have declared no conflicts of interest

Published
2017

28. Defining disease phenotypes in primary care electronic health records by a machine learning approach:A case study in identifying rheumatoid arthritis

Author

Zhou, Shang Ming, Fernandez-Gutierrez, Fabiola, Kennedy, Jonathan, Cooksey, Roxanne, Atkinson, Mark, Denaxas, Spiros, Siebert, Stefan, Dixon, William G., O'Neill, Terence W., Choy, Ernest, Sudlow, Cathie, Brophy, Sinead, Danesh, John, Allen, Naomi, Blaveri, Ekaterini, Brannan, Rachael, Brayne, Carol, Chaturvedi, Nish, Collins, Rory, DeLusignan, Simon, Desai, Parul, Eastwood, Sophie, Gallacher, John, Hemingway, Harry, Hotopf, Matthew, Landray, Martin, Lyons, Ronan, McGilchrist, Mark, Moller, Henrik, Pringle, Mike, Sprosen, Tim, Strachan, David, Sullivan, Frank, Woodfield, Rebecca, Zhang, Qiuli, and Flaig, Robin

Abstract

Objectives: 1) To use data-driven method to examine clinical codes (risk factors) of a medical condition in primary care electronic health records (EHRs) that can accurately predict a diagnosis of the condition in secondary care EHRs. 2) To develop and validate a disease phenotyping algorithm for rheumatoid arthritis using primary care EHRs. Methods: This study linked routine primary and secondary care EHRs in Wales, UK. A machine learning based scheme was used to identify patients with rheumatoid arthritis from primary care EHRs via the following steps: i) selection of variables by comparing relative frequencies of Read codes in the primary care dataset associated with disease case compared to non-disease control (disease/non-disease based on the secondary care diagnosis); ii) reduction of predictors/associated variables using a Random Forest method, iii) induction of decision rules from decision tree model. The proposed method was then extensively validated on an independent dataset, and compared for performance with two existing deterministic algorithms for RA which had been developed using expert clinical knowledge. Results: Primary care EHRs were available for 2,238,360 patients over the age of 16 and of these 20,667 were also linked in the secondary care rheumatology clinical system. In the linked dataset, 900 predictors (out of a total of 43,100 variables) in the primary care record were discovered more frequently in those with versus those without RA. These variables were reduced to 37 groups of related clinical codes, which were used to develop a decision tree model. The final algorithm identified 8 predictors related to diagnostic codes for RA, medication codes, such as those for disease modifying anti-rheumatic drugs, and absence of alternative diagnoses such as psoriatic arthritis. The proposed data-driven method performed as well as the expert clinical knowledge based methods. Conclusion: Data-driven scheme, such as ensemble machine learning methods, has the potential of identifying the most informative predictors in a cost-effective and rapid way to accurately and reliably classify rheumatoid arthritis or other complex medical conditions in primary care EHRs.

Published
2016
Full Text
View/download PDF

34. Feasibility and Domain Validation of Rheumatoid Arthritis (RA) Flare Core Domain Set: Report of the OMERACT 2014 RA Flare Group Plenary

Author

Bartlett, Susan J., primary, Bykerk, Vivian P., additional, Cooksey, Roxanne, additional, Choy, Ernest H., additional, Alten, Rieke, additional, Christensen, Robin, additional, Furst, Daniel E., additional, Guillemin, Francis, additional, Halls, Serena, additional, Hewlett, Sarah, additional, Leong, Amye L., additional, Lyddiatt, Anne, additional, March, Lyn, additional, Montie, Pamela, additional, Orbai, Ana Maria, additional, Pohl, Christoph, additional, Voshaar, Marieke Scholte, additional, Woodworth, Thasia G., additional, and Bingham, Clifton O., additional

Published
2015
Full Text
View/download PDF

38. Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis.

Author

Zhou, Shang-Ming, Fernandez-Gutierrez, Fabiola, Kennedy, Jonathan, Cooksey, Roxanne, Atkinson, Mark, Denaxas, Spiros, Siebert, Stefan, Dixon, William G., O’Neill, Terence W., Choy, Ernest, Sudlow, Cathie, null, null, and Brophy, Sinead

Subjects
RHEUMATOID arthritis treatment, PRIMARY care, ELECTRONIC health records, PHENOTYPES, MACHINE learning, RHEUMATOLOGY
Abstract

Objectives: 1) To use data-driven method to examine clinical codes (risk factors) of a medical condition in primary care electronic health records (EHRs) that can accurately predict a diagnosis of the condition in secondary care EHRs. 2) To develop and validate a disease phenotyping algorithm for rheumatoid arthritis using primary care EHRs. Methods: This study linked routine primary and secondary care EHRs in Wales, UK. A machine learning based scheme was used to identify patients with rheumatoid arthritis from primary care EHRs via the following steps: i) selection of variables by comparing relative frequencies of Read codes in the primary care dataset associated with disease case compared to non-disease control (disease/non-disease based on the secondary care diagnosis); ii) reduction of predictors/associated variables using a Random Forest method, iii) induction of decision rules from decision tree model. The proposed method was then extensively validated on an independent dataset, and compared for performance with two existing deterministic algorithms for RA which had been developed using expert clinical knowledge. Results: Primary care EHRs were available for 2,238,360 patients over the age of 16 and of these 20,667 were also linked in the secondary care rheumatology clinical system. In the linked dataset, 900 predictors (out of a total of 43,100 variables) in the primary care record were discovered more frequently in those with versus those without RA. These variables were reduced to 37 groups of related clinical codes, which were used to develop a decision tree model. The final algorithm identified 8 predictors related to diagnostic codes for RA, medication codes, such as those for disease modifying anti-rheumatic drugs, and absence of alternative diagnoses such as psoriatic arthritis. The proposed data-driven method performed as well as the expert clinical knowledge based methods. Conclusion: Data-driven scheme, such as ensemble machine learning methods, has the potential of identifying the most informative predictors in a cost-effective and rapid way to accurately and reliably classify rheumatoid arthritis or other complex medical conditions in primary care EHRs. [ABSTRACT FROM AUTHOR]

Published
2016
Full Text
View/download PDF

42. Basic science232. Certolizumab pegol prevents pro-inflammatory alterations in endothelial cell function

Author

Heathfield, Sarah, Parker, Ben, Zeef, Leo, Bruce, Ian, Alexander, Yvonne, Collins, Fraser, Stone, Michael, Wang, Edward, Williams, Anwen S., Wright, Helen L., Thomas, Huw B., Moots, Robert J., Edwards, Steven W., Bullock, Craig, Chapman, Victoria, Walsh, David A., Mobasheri, Ali, Kendall, David, Kelly, Sara, Bayley, Rachel, Buckley, Chris D., Young, Stephen P., Rump-Goodrich, Lisa, Middleton, Jim, Chen, Liye, Fisher, Roman, Kollnberger, Simon, Shastri, Nilabh, Kessler, Benedikt M., Bowness, Paul, Nazeer Moideen, Abdul, Evans, Laura, Osgood, Louise, Jones, Simon A., Nowell, Mari A., Mahadik, Younis, Young, Stephen, Morgan, Matthew, Gordon, Caroline, Harper, Lorraine, Giles, Joanna L., Paul Morgan, B., Harris, Claire L., Rysnik, Oliwia J., McHugh, Kirsty, Payeli, Sravan, Marroquin, Osiris, Shaw, Jacqueline, Renner, Christoph, Nayar, Saba, Cloake, Tom, Bombardieri, Michele, Pitzalis, Costantino, Buckley, Chris, Barone, Francesca, Lane, Peter, Coles, Mark, Williams, Emma L., Edwards, Christopher J., Cooper, Cyrus, Oreffo, Richard O., Dunn, Sara, Crawford, Aileen, Wilkinson, Mark, Le Maitre, Christine, Bunning, Rowena, Daniels, Jodie, Phillips, Kate L. E., Chiverton, Neil, Le Maitre, Christine L., Shaw, Jackie, Ridley, Anna, Wong-Baeza, Isabel, Keidel, Sarah, Chan, Antoni, Gullick, Nicola J., Abozaid, Hanan S., Jayaraj, David M., Evans, Hayley G., Scott, David L., Choy, Ernest H., Taams, Leonie S., Hickling, M., Golor, G., Jullion, A., Shaw, S., Kretsos, K., Bari, Syed F., Rhys-Dillon, Brian, Amos, Nicholson, Siebert, Stefan, Bunning, Rowena D., Haddock, Gail, Cross, Alison K., Kate, I., Phillips, E., Cross, Alison, Bunning, Rowena A. D., Ceeraz, Sabrina, Spencer, Jo, Choy, Ernest, Corrigall, Valerie, Crilly, Anne, Palmer, Helen, Lockhart, John, Plevin, Robin, Ferrell, William R., McInnes, Iain, Hutchinson, David, Perry, Liz, DiCicco, Maria, Humby, Frances, Kelly, Stephen, Hands, Rebecca, McInnes, Ian, Taylor, Peter, Mehta, Puja, Mitchell, Adam, Tysoe, Carolyn, Caswell, Richard, Owens, Martina, Vincent, Tonia, Hashmi, Tahir M., Price-Forbes, Alec, Sharp, Charlotte A., Murphy, Helen, Wood, Elizabeth F., Doherty, Teresa, Sheldon, Jo, Sofat, Nidhi, Goff, Iain, Platt, Philip N., Abdulkader, Rita, Clunie, Gavin, Ismajli, Mediola, Nikiphorou, Elena, Young, Adam, Tugnet, Nicola, Dixey, Josh, Banik, Snehashish, Alcorn, Desmond, Hunter, John, Win Maw, Win, Patil, Pravin, Hayes, Fiona, Main Wong, Way, Borg, Frances A., Dasgupta, Bhaskar, Malaviya, Anshuman P., Ostor, Andrew J., Chana, Jasroop K., Ahmed, Azeem A., Edmonds, Sally, Coward, Lucy, Borg, Frances, Heaney, Jonathan, Amft, Nicole, Simpson, John, Dhillon, Veena, Ayalew, Yezenash, Khattak, Fazlihakim, Gayed, Mary, Amarasena, Roshan I., McKenna, Frank, Mc Laughlin, Maeve, Baburaj, Krishnan, Fattah, Zozik, Ng, Nora, Wilson, Jo, Colaco, Bernard, Williams, Mark R., Adizie, Tochukwu, Casey, Matthew, Lip, Stefanie, Tan, Shaun, Anderson, David, Robertson, Calum, Devanny, Ian, Field, Max, Walker, David, Robinson, Sandra, Ryan, Sarah, Hassell, Andrew, Bateman, James, Allen, Maggie, Davies, David, Crouch, Carina, Walker-Bone, Karen, Gainsborough, Nicola, Lutalo, Pamela M., Davies, Ursula M., Mckew, Jennifer R., Millar, Auleen M., Wright, Stephen A., Bell, Aubrey L., Thapper, Muryum, Roussou, Thalia, Cumming, Jo, Hull, Richard G., McKeogh, John, O'Connor, Mortimer B., Hassan, Ahmed I., Bond, Ursula, Swan, Joan, Phelan, Mark J., Coady, David, Kumar, Namita, Farrow, Luke, Bukhari, Marwan, Oldroyd, Alexander G., Greenbank, Cathi, McBeth, John, Duncan, Rosie, Brown, Deborah, Horan, Michael, Pendleton, Neil, Littlewood, Alison, Cordingley, Lis, Mulvey, Matthew, Curtis, Elizabeth M., Cole, Zoe A., Crozier, Sarah R., Georgia, Ntani, Robinson, Siân M., Godfrey, Keith M., Sayer, Avan A., Inskip, Hazel M., Harvey, Nicholas C., Davies, Rebecca, Mercer, Louise, Galloway, James, Low, Audrey, Watson, Kath, Lunt, Mark, Symmons, Deborah, Hyrich, Kimme, Chitale, Sarang, Estrach, Cristina, Goodson, Nicola J., Rankin, Elizabeth, Jiang, C. Q., Cheng, K. K., Lam, T. H., Adab, Peymané, Ling, Stephanie, Humphreys, Jennifer, Ellis, Corrinne, Bunn, Diane, Verstappen, Suzanne M., Fluess, Elisa, Macfarlane, Gary J., Bond, Christine, Jones, Gareth T., Scott, Ian C., Steer, Sophia, Lewis, Cathryn M., Cope, Andrew, Mulvey, Matthew R., Lovell, Karina, Keeley, Philip, Woby, Steve, Beasley, Marcus, Viatte, Sebastien, Plant, Darren, Fu, Bo, Solymossy, Csilla, Worthington, Jane, Barton, Anne, Williams, Frances M., Osei-Bordom, Daniel-Clement, Popham, Maria, MacGregor, Alex, Spector, Tim, Little, Jayne, Herrick, Ariane, Pushpakom, S., Ennis, H., McBurney, H., Worthington, J., Newman, W., Ibrahim, Ibrahim, Morgan, Anne, Wilson, Anthony, Isaacs, John, Sanderson, Tessa, Hewlett, Sarah, Calnan, Michael, Morris, Marianne, Raza, Karim, Kumar, Kanta, Cardy, Caroline M., Pauling, John D., Jenkins, Jessica, Brown, Sue J., McHugh, Neil, Mugford, Miranda, Davies, Charlotte, Cooper, Nicola, Brooksby, Alan, Dures, Emma, Ambler, Nick, Fletcher, Debbie, Pope, Denise, Robinson, Frances, Rooke, Royston, Gorman, Claire L., Reynolds, Piero, Hakim, Alan J., Bosworth, Ailsa, Weaver, Dan, Kiely, Patrick D., Skeoch, Sarah, Jani, Meghna, Amarasena, Roshan, Rao, Chandini, Macphie, Elizabeth, McLoughlin, Yokemei, Shah, Preeti, Else, Sara, Semenova, Olga, Thompson, Helen, Ogunbambi, Olabambo, Kallankara, Sathish, Patel, Yusuf, Baguley, Elaine, Halsey, John, Severn, Andrew, Selvan, Shilpa, Price, Elizabeth, Husain, Muhammad J., Brophy, Sinead, Phillips, Ceri J., Cooksey, Roxanne, Irvine, Elizabeth, Lendrem, Dennis, Mitchell, Sheryl, Bowman, Simon, Pease, Colin T., Emery, Paul, Andrews, Jacqueline, Sutcliffe, Nurhan, Lanyon, Peter, Gupta, Monica, McLaren, John, Regan, Marian, Cooper, Annie, Giles, Ian, Isenberg, David, Griffiths, Bridget, Foggo, Heather, Edgar, Suzanne, Vadivelu, Saravanan, Ng, Wan-Fai, Iqbal, Itrat, Heron, Louise, Pilling, Claire, Marks, Jonathan, Hull, Richard, Ledingham, Jo, Han, Chenglong, Gathany, Tim, Tandon, Neeta, Hsia, Elizabeth, Taylor, P., Strand, V., Sensky, T., Harta, N., Fleming, S., Kay, Lesley, Rutherford, Michelle, Nicholl, Karl, Eyre, Tracey, Wilson, Gillian, Johnson, Phil, Russell, M., Timoshanko, J., Duncan, G., Spandley, A., Roskell, S., West, Louise, Adshead, Rebecca, Donnelly, Simon P., Ashton, Simon, Tahir, Hasan, Patel, Dipti, Darroch, James, Boulton, John, Ellis, Benjamin, Finlay, Ron, Murray-Brown, William, Priori, R., Tappuni, T., Vartoukian, S., Seoudi, N., Picarelli, G., Fortune, F., Valesini, G., Pitzalis, C., Bombardieri, M., Ball, Elisabeth, Rooney, Madeleine, Bell, Aubrey, Mérida, Angeles Acosta, Tarelli, Edward, Axford, John, Pericleous, Charis, Pierangeli, Silvia S., Ioannou, John, Rahman, Anisur, Alavi, Azita, Hughes, Michael, Evans, Bronwen, Zaki, Awal, Hui, Michelle, Garner, Rozeena, Rees, Frances, Bavakunji, Riaz, Daniel, Priya, Varughese, Sneha, Srikanth, Asha, Andres, Mariano, Pearce, Fiona, Leung, Jansen, Lim, Ken, Oomatia, Amin, Petri, Michelle, Fang, Hong, Birnbaum, Julius, Amissah-Arthur, Maame, Stewart, Kirsty, Jennens, Hannah, Braude, Simon, Sutton, Emily J., Watson, Kath D., Yee, Chee-Seng, Jayne, David, Akil, Mohammed, Ahmad, Yasmeen, D'Cruz, David, Khamashta, Munther, Teh, Lee-Suan, Zoma, Asad, Dey, Ida D., Kenu, Ernest, Garza-Garcia, Acely, Murfitt, Lucy, Driscoll, Paul C., Pierangeli, Silvia, Ioannou, Yiannis, Reynolds, John A., Ray, David W., O'Neill, Terence, Segeda, Iuliia, Shevchuk, Sergii, Kuvikova, Inna, Brown, Nina, Venning, Michael, Dhanjal, Mandish, Mason, Justin, Nelson-Piercy, Catherine, Basu, Neil, Paudyal, Priya, Stockton, Marie, Lawton, Sally, Dent, Caroline, Kindness, Kathy, Meldrum, Gillian, John, Elizabeth, Arthur, Catherine, West, Lucy, Macfarlane, Matthew V., Reid, David M., Yates, Max, Loke, Yoon, Watts, Richard, Christidis, Dimitrios, Williams, Mark, Sivakumar, Rajappa, Misra, Ramnath, Danda, Debashish, Mahendranath, K. M., Bacon, Paul A., Mackie, Sarah L., Heathfield, Sarah, Parker, Ben, Zeef, Leo, Bruce, Ian, Alexander, Yvonne, Collins, Fraser, Stone, Michael, Wang, Edward, Williams, Anwen S., Wright, Helen L., Thomas, Huw B., Moots, Robert J., Edwards, Steven W., Bullock, Craig, Chapman, Victoria, Walsh, David A., Mobasheri, Ali, Kendall, David, Kelly, Sara, Bayley, Rachel, Buckley, Chris D., Young, Stephen P., Rump-Goodrich, Lisa, Middleton, Jim, Chen, Liye, Fisher, Roman, Kollnberger, Simon, Shastri, Nilabh, Kessler, Benedikt M., Bowness, Paul, Nazeer Moideen, Abdul, Evans, Laura, Osgood, Louise, Jones, Simon A., Nowell, Mari A., Mahadik, Younis, Young, Stephen, Morgan, Matthew, Gordon, Caroline, Harper, Lorraine, Giles, Joanna L., Paul Morgan, B., Harris, Claire L., Rysnik, Oliwia J., McHugh, Kirsty, Payeli, Sravan, Marroquin, Osiris, Shaw, Jacqueline, Renner, Christoph, Nayar, Saba, Cloake, Tom, Bombardieri, Michele, Pitzalis, Costantino, Buckley, Chris, Barone, Francesca, Lane, Peter, Coles, Mark, Williams, Emma L., Edwards, Christopher J., Cooper, Cyrus, Oreffo, Richard O., Dunn, Sara, Crawford, Aileen, Wilkinson, Mark, Le Maitre, Christine, Bunning, Rowena, Daniels, Jodie, Phillips, Kate L. E., Chiverton, Neil, Le Maitre, Christine L., Shaw, Jackie, Ridley, Anna, Wong-Baeza, Isabel, Keidel, Sarah, Chan, Antoni, Gullick, Nicola J., Abozaid, Hanan S., Jayaraj, David M., Evans, Hayley G., Scott, David L., Choy, Ernest H., Taams, Leonie S., Hickling, M., Golor, G., Jullion, A., Shaw, S., Kretsos, K., Bari, Syed F., Rhys-Dillon, Brian, Amos, Nicholson, Siebert, Stefan, Bunning, Rowena D., Haddock, Gail, Cross, Alison K., Kate, I., Phillips, E., Cross, Alison, Bunning, Rowena A. D., Ceeraz, Sabrina, Spencer, Jo, Choy, Ernest, Corrigall, Valerie, Crilly, Anne, Palmer, Helen, Lockhart, John, Plevin, Robin, Ferrell, William R., McInnes, Iain, Hutchinson, David, Perry, Liz, DiCicco, Maria, Humby, Frances, Kelly, Stephen, Hands, Rebecca, McInnes, Ian, Taylor, Peter, Mehta, Puja, Mitchell, Adam, Tysoe, Carolyn, Caswell, Richard, Owens, Martina, Vincent, Tonia, Hashmi, Tahir M., Price-Forbes, Alec, Sharp, Charlotte A., Murphy, Helen, Wood, Elizabeth F., Doherty, Teresa, Sheldon, Jo, Sofat, Nidhi, Goff, Iain, Platt, Philip N., Abdulkader, Rita, Clunie, Gavin, Ismajli, Mediola, Nikiphorou, Elena, Young, Adam, Tugnet, Nicola, Dixey, Josh, Banik, Snehashish, Alcorn, Desmond, Hunter, John, Win Maw, Win, Patil, Pravin, Hayes, Fiona, Main Wong, Way, Borg, Frances A., Dasgupta, Bhaskar, Malaviya, Anshuman P., Ostor, Andrew J., Chana, Jasroop K., Ahmed, Azeem A., Edmonds, Sally, Coward, Lucy, Borg, Frances, Heaney, Jonathan, Amft, Nicole, Simpson, John, Dhillon, Veena, Ayalew, Yezenash, Khattak, Fazlihakim, Gayed, Mary, Amarasena, Roshan I., McKenna, Frank, Mc Laughlin, Maeve, Baburaj, Krishnan, Fattah, Zozik, Ng, Nora, Wilson, Jo, Colaco, Bernard, Williams, Mark R., Adizie, Tochukwu, Casey, Matthew, Lip, Stefanie, Tan, Shaun, Anderson, David, Robertson, Calum, Devanny, Ian, Field, Max, Walker, David, Robinson, Sandra, Ryan, Sarah, Hassell, Andrew, Bateman, James, Allen, Maggie, Davies, David, Crouch, Carina, Walker-Bone, Karen, Gainsborough, Nicola, Lutalo, Pamela M., Davies, Ursula M., Mckew, Jennifer R., Millar, Auleen M., Wright, Stephen A., Bell, Aubrey L., Thapper, Muryum, Roussou, Thalia, Cumming, Jo, Hull, Richard G., McKeogh, John, O'Connor, Mortimer B., Hassan, Ahmed I., Bond, Ursula, Swan, Joan, Phelan, Mark J., Coady, David, Kumar, Namita, Farrow, Luke, Bukhari, Marwan, Oldroyd, Alexander G., Greenbank, Cathi, McBeth, John, Duncan, Rosie, Brown, Deborah, Horan, Michael, Pendleton, Neil, Littlewood, Alison, Cordingley, Lis, Mulvey, Matthew, Curtis, Elizabeth M., Cole, Zoe A., Crozier, Sarah R., Georgia, Ntani, Robinson, Siân M., Godfrey, Keith M., Sayer, Avan A., Inskip, Hazel M., Harvey, Nicholas C., Davies, Rebecca, Mercer, Louise, Galloway, James, Low, Audrey, Watson, Kath, Lunt, Mark, Symmons, Deborah, Hyrich, Kimme, Chitale, Sarang, Estrach, Cristina, Goodson, Nicola J., Rankin, Elizabeth, Jiang, C. Q., Cheng, K. K., Lam, T. H., Adab, Peymané, Ling, Stephanie, Humphreys, Jennifer, Ellis, Corrinne, Bunn, Diane, Verstappen, Suzanne M., Fluess, Elisa, Macfarlane, Gary J., Bond, Christine, Jones, Gareth T., Scott, Ian C., Steer, Sophia, Lewis, Cathryn M., Cope, Andrew, Mulvey, Matthew R., Lovell, Karina, Keeley, Philip, Woby, Steve, Beasley, Marcus, Viatte, Sebastien, Plant, Darren, Fu, Bo, Solymossy, Csilla, Worthington, Jane, Barton, Anne, Williams, Frances M., Osei-Bordom, Daniel-Clement, Popham, Maria, MacGregor, Alex, Spector, Tim, Little, Jayne, Herrick, Ariane, Pushpakom, S., Ennis, H., McBurney, H., Worthington, J., Newman, W., Ibrahim, Ibrahim, Morgan, Anne, Wilson, Anthony, Isaacs, John, Sanderson, Tessa, Hewlett, Sarah, Calnan, Michael, Morris, Marianne, Raza, Karim, Kumar, Kanta, Cardy, Caroline M., Pauling, John D., Jenkins, Jessica, Brown, Sue J., McHugh, Neil, Mugford, Miranda, Davies, Charlotte, Cooper, Nicola, Brooksby, Alan, Dures, Emma, Ambler, Nick, Fletcher, Debbie, Pope, Denise, Robinson, Frances, Rooke, Royston, Gorman, Claire L., Reynolds, Piero, Hakim, Alan J., Bosworth, Ailsa, Weaver, Dan, Kiely, Patrick D., Skeoch, Sarah, Jani, Meghna, Amarasena, Roshan, Rao, Chandini, Macphie, Elizabeth, McLoughlin, Yokemei, Shah, Preeti, Else, Sara, Semenova, Olga, Thompson, Helen, Ogunbambi, Olabambo, Kallankara, Sathish, Patel, Yusuf, Baguley, Elaine, Halsey, John, Severn, Andrew, Selvan, Shilpa, Price, Elizabeth, Husain, Muhammad J., Brophy, Sinead, Phillips, Ceri J., Cooksey, Roxanne, Irvine, Elizabeth, Lendrem, Dennis, Mitchell, Sheryl, Bowman, Simon, Pease, Colin T., Emery, Paul, Andrews, Jacqueline, Sutcliffe, Nurhan, Lanyon, Peter, Gupta, Monica, McLaren, John, Regan, Marian, Cooper, Annie, Giles, Ian, Isenberg, David, Griffiths, Bridget, Foggo, Heather, Edgar, Suzanne, Vadivelu, Saravanan, Ng, Wan-Fai, Iqbal, Itrat, Heron, Louise, Pilling, Claire, Marks, Jonathan, Hull, Richard, Ledingham, Jo, Han, Chenglong, Gathany, Tim, Tandon, Neeta, Hsia, Elizabeth, Taylor, P., Strand, V., Sensky, T., Harta, N., Fleming, S., Kay, Lesley, Rutherford, Michelle, Nicholl, Karl, Eyre, Tracey, Wilson, Gillian, Johnson, Phil, Russell, M., Timoshanko, J., Duncan, G., Spandley, A., Roskell, S., West, Louise, Adshead, Rebecca, Donnelly, Simon P., Ashton, Simon, Tahir, Hasan, Patel, Dipti, Darroch, James, Boulton, John, Ellis, Benjamin, Finlay, Ron, Murray-Brown, William, Priori, R., Tappuni, T., Vartoukian, S., Seoudi, N., Picarelli, G., Fortune, F., Valesini, G., Pitzalis, C., Bombardieri, M., Ball, Elisabeth, Rooney, Madeleine, Bell, Aubrey, Mérida, Angeles Acosta, Tarelli, Edward, Axford, John, Pericleous, Charis, Pierangeli, Silvia S., Ioannou, John, Rahman, Anisur, Alavi, Azita, Hughes, Michael, Evans, Bronwen, Zaki, Awal, Hui, Michelle, Garner, Rozeena, Rees, Frances, Bavakunji, Riaz, Daniel, Priya, Varughese, Sneha, Srikanth, Asha, Andres, Mariano, Pearce, Fiona, Leung, Jansen, Lim, Ken, Oomatia, Amin, Petri, Michelle, Fang, Hong, Birnbaum, Julius, Amissah-Arthur, Maame, Stewart, Kirsty, Jennens, Hannah, Braude, Simon, Sutton, Emily J., Watson, Kath D., Yee, Chee-Seng, Jayne, David, Akil, Mohammed, Ahmad, Yasmeen, D'Cruz, David, Khamashta, Munther, Teh, Lee-Suan, Zoma, Asad, Dey, Ida D., Kenu, Ernest, Garza-Garcia, Acely, Murfitt, Lucy, Driscoll, Paul C., Pierangeli, Silvia, Ioannou, Yiannis, Reynolds, John A., Ray, David W., O'Neill, Terence, Segeda, Iuliia, Shevchuk, Sergii, Kuvikova, Inna, Brown, Nina, Venning, Michael, Dhanjal, Mandish, Mason, Justin, Nelson-Piercy, Catherine, Basu, Neil, Paudyal, Priya, Stockton, Marie, Lawton, Sally, Dent, Caroline, Kindness, Kathy, Meldrum, Gillian, John, Elizabeth, Arthur, Catherine, West, Lucy, Macfarlane, Matthew V., Reid, David M., Yates, Max, Loke, Yoon, Watts, Richard, Christidis, Dimitrios, Williams, Mark, Sivakumar, Rajappa, Misra, Ramnath, Danda, Debashish, Mahendranath, K. M., Bacon, Paul A., and Mackie, Sarah L.

43. BHPR research: qualitative1. Complex reasoning determines patients' perception of outcome following foot surgery in rheumatoid arhtritis

Author

Backhouse, Michael R., Vinall, Karen A., Redmond, Anthony, Helliwell, Philip, Keenan, Anne-Maree, Dale, Rebecca M., Thomas, Amanda, Aronson, Diane, Turner-Cobb, Julie, Sengupta, Raj, France, Brisa, Hill, Ingrid, Flurey, Caroline A., Morris, Marianne, Pollock, Jon, Hughes, Rod, Richards, Pam, Hewlett, Sarah, Ryan, Sarah, Lille, Kate, Adams, Jo, Haq, Inam, McArthur, Margaret, Goodacre, Lynne, Birt, Linda, Wilson, Oonagh, Kirwan, John, Dures, Emma, Quest, Enid, Rajak, Rizwan, Thomas, Tasmin, Lawson, Tom, Petford, Sharon, Hale, Elizabeth, Kitas, George D., Gooberman-Hill, Rachael, Jinks, Clare, Dziedzic, Krysia, Bouças, Sofia Barbosa, Hislop, Kelly, Rhodes, Carol, Ali, Fizzah, Ong, Bie Nio, White, Derrick, Hensor, Elizabeth, Ferguson, Anna M., Douiri, Abdel, Scott, David L., Lempp, Heidi, Halls, Serena, Law, Rebecca-Jane, Jones, Jeremy, Markland, David, Maddison, Peter, Thom, Jeanette, Thom, Jeanette M., Breslin, Anne, Kraus, Alexandra, Gordhan, Chandrika, Dennis, Sean, Connor, John, Chowdhary, Bhavani, Lottay, Neena, Juneja, Parmjit, Bacon, Paul A., Isaacs, David, Jack, James, Keller, Majella, Tibble, Jeremy, Hammond, Alison, Gill, Rachel, Tyson, Sarah, Tennant, Alan, Nordenskiold, Ulla, Pease, Emily E., Pease, Colin T., Trehane, Anne, Rahmeh, Fouz, Cornell, Patricia, Westlake, Sarah L., Rose, Katy, Alber, Catherine Fouad, Watson, Liam, Stratton, Richard, Lazarus, Mark, McNeilly, Natasha E., Waterfield, Jackie, Hurley, Mike, Greenwood, James, Clayton, Ann M., Lynch, Michael, Clewes, Adrian, Dawson, Julie, Abernethy, Veronica, Griffiths, Ann E., Chamberlain, Victoria A., McLoughlin, YokeMei, Campbell, Sophie, Hayes, Janita, Moffat, Claire, McKenna, Frank, Shah, Preeti, Williams, Ann, Rhys-Dillon, Ceril, Goodfellow, Rhian, Martin, James C., Bari, Farhan, Hughes, Gwenan, Thomas, Eleri, Baker, Sarah, Collins, David, Price, Elizabeth, Williamson, Lyn, Dunkley, Lisa, Youll, Matthew J., Rodziewicz, Mia, Reynolds, John A., Berry, Jacqueline, Pavey, Chee, Hyrich, Kimme, Gorodkin, Rachel, Wilkinson, Kate, Bruce, Ian, Barton, Anne, Silman, Alan, Ho, Pauline, Cornell, Tricia, Richards, Selwyn, Holmes, A., Parker, S., Smith, H., Briggs, N., Arthanari, S., Nisar, M., Thwaites, Catharine, Kamath, Sanjeet, Price, Shyra, Robinson, Sandra M., Walker, David, Coop, Hazel, Al-Allaf, Wahab, Charleton, Rebecca C., Griffiths, Bridget, Edwards, Elizabeth A., Partlett, Rosamund, Martin, Keith, Tarzi, Mike, Panthakalam, Sathianathan, Freeman, Tanya, Ainley, Louise, Turner, Michael, Hughes, Lyndsay, Russell, Bridget, Jenkins, Suzanne, Done, John, Young, Adam, Jones, Tadeusz, Gaywood, Ian C., Pande, Ira, Pradère, Marie-Josèphe, Bhaduri, Mahua, Smith, Angela, Cook, Haley, Abraham, Sonya, Ngcozana, Tanaka, Denton, Christopher P., Parker, Louise, Black, Carol M., Ong, Voon, Thompson, Nicola, White, Catherine, Duddy, Martin, Jobanputra, Paresh, Bacon, Pauline, Smith, Jacqueline, Richardson, Ann, Giancola, Giorgio, Soh, Vicky, Spencer, Simon, Greenhalgh, Ann, Hanson, Mark, De Lord, Denise, Lloyd, Mark, Wong, Henna, Wren, Damian, Grover, Bob, Hall, John, Neville, Cai, Alton, Peter, Kelly, Stephen, Bombardieri, Michele, Humby, Fran, Ng, Nora, Di Cicco, Maria, Hands, Rebecca, Epis, Oscar, Filer, Andrew, Buckley, Christopher, McInnes, Iain, Taylor, Peter, Pitzalis, Costantino, Freeston, Jane, Conaghan, Philip, Grainger, Andrew, O'Connor, Philip J., Evans, Rob, Emery, Paul, Hodgson, Richard, Fleischmann, Roy, Han, Chenglong, van der Heijde, Desiree, Xu, Weichun, Hsia, Elizabeth, Kavanaugh, Arthur, Gladman, Dafna, Chattopadhyay, Chandrabhusan, Beutler, Anna, Zayat, Ahmed S., Ellegard, Karen, Terslev, Lene, Wakefield, Richard J., Ciurtin, Coziana, Leandro, Maria, Dey, Dzifa, Nandagudi, Anupama, Giles, Ian, Shipley, Mike, Morris, Vanessa, Ioannou, John, Ehrenstein, Michael, Sen, Debajit, Chan, Marian, Quinlan, Tim M., Brophy, Richard, Mewar, Devesh, Patel, Dipti, Wilby, M. J., Pellegrini, Vincent, Eyes, Brian, Crooks, Daniel, Anderson, Marina, Ball, Elisabeth, McKeeman, Helen, Burns, James, Yau, Wing Hoi, Moore, Owen, Foo, Joanne, Benson, Claire, Patterson, Chris, Wright, Gary, Taggart, Allister, Drew, Sarah, Tanner, Lorraine, Sanyal, Kaushik, Bourke, Brian E., Alston, Claire, Baqai, Charlotte, Chard, Michael, Sandhu, Virinderjit, Jordan, Kelsey, Munns, Catherine, Zouita, Louisa, Shattles, Warren, Davies, Ursula, Makadsi, Raad, Griffith, Sian, Kiely, Patrick D., Dimofte, Ionela, Dabu, Mihaela, Dabu, Bogdan, Dobarro, David, Schreiber, Benjamin E., Warrell, Clare, Handler, Clive, Coghlan, Gerry, Denton, Chris, Ishorari, Jasmine, Bunn, Chris, Beynon, Huw, George Malal, Joby J., Boton-Maggs, Ben, Leung, Alexander, Farewell, Daniel, Choy, Ernest, Gullick, Nicola J., Choy, Ernest H., Wincup, Chris, Fisher, Ben, Charles, Peter, Pollard, Louise C., Kirkham, Bruce W., Ma, Margaret H., Ramanujan, Saroja, Cavet, Guy, Haney, Doug, Kingsley, Gabrielle H., Scott, David, Cope, Andrew, Singh, Animesh, Wilson, Jo, Isaacs, Anthony, Wing, Charlotte, McLaughlin, Maeve, Penn, Henry, Genovese, Mark C., Sebba, Anthony, Rubbert-Roth, Andrea, Scali, Juan, Zilberstein, Moshe, Thompson, Liz, Van Vollenhoven, Ronald, De Benedetti, Fabrizio, Brunner, Hermine, Allen, Roger, Brown, Diane, Chaitow, Jeffrey, Pardeo, Manuela, Espada, Graciela, Flato, Berit, Horneff, Gerd, Devlin, Clare, Kenwright, Andrew, Schneider, Rayfel, Woo, Patricia, Martini, Alberto, Lovell, Daniel, Ruperto, Nicola, John, Holly, Hale, Elizabeth D., Treharne, Gareth J., Carroll, Douglas, Mercer, Louise, Low, Audrey, Galloway, James, Watson, Kath, Lunt, Mark, Symmons, Deborah, Davies, Rebecca, Dixon, William, Balarajah, Sharmili, Sandhu, Amrita, Ariyo, Mercy, Rankin, Elizabeth, Sandoo, Aamer, van Zanten, Jet J. Veldhuijzen, Toms, Tracey E., Smith, Jacqueline P., Malik, Saadia, Toberty, Elizabeth, Thalayasingam, Nishanthi, Hamilton, Jennifer, Kelly, Clive, Puntis, Daniel, Saravanan, Vadivelu, Rynne, Martin, Heycock, Carol, Winter, Richard, Wardle, Phil, Toms, Tracey, Cadman, Susan, Nightingale, Peter, Kitas, George, Alhusain, Awal Z., Verstappen, Suzanne M., Mirjafari, Hoda, Charlton-Menys, Valentine, Bunn, Diane, Durrington, Paul, Cooney, Jennifer K., Moore, Jonathan P., Lemmey, Andrew, Jones, Jeremy G., Maddison, Peter J., Ahmad, Yasmeen A., Ahmed, Tazeen J., Leone, Francesca, Browne, Hannah K., Wig, Surabhi, Chevance, Aurelie, Moore, Tonia, Manning, Joanne, Vail, Andy, Herrick, Ariane L., Derrett-Smith, Emma, Hoyles, Rachel, Moinzadeh, Pia, Chighizola, Cecilia, Khan, Korsa, Abraham, David, Warrell, Clare E., Sykes, Rebecca, Muir, Lindsay, Ennis, Holly, Shiwen, Xu, Thompson, Katherine, Liu, Shangxi, Leask, Andrew, Abraham, David J., Strickland, Gemma, Pauling, John, Betteridge, Zoe, Dunphy, Juliet, Owen, Pat, McHugh, Neil, Abignano, Giuseppina, Cuomo, Giovanna, Buch, Maya H., Rosenberg, William M., Valentini, Gabriele, Del Galdo, Francesco, Jenkins, Jessica, Pauling, John D., Howell, Kevin, Nihtyanova, Svetlana, Fonseca, Carmen, Malaviya, Anshuman P., Hadjinicolaou, Andreas V., Nisar, Muhammad K., Ruddlesden, Michael, Furlong, Anita, Baker, Sharon, Hall, Frances C., Raut-Roy, Dominique, Peluso, Rosario, Dario Di Minno, M. N., Iervolino, Salvatore, Costa, Luisa, Atteno, Mariangela, Lofrano, Mariana, Soscia, Ernesto, Castiglione, Fabiana, Foglia, Francesca, Scarpa, Raffaele, Wallis, Dinny, Dougados, Maxime, Keystone, Edward, Heckaman, Michele, Mease, Philip, Landewé, Robert, Nguyen, Dianne, Winfield, Rachel A., Dyke, Claire, Clemence, Mark, Mackay, Kirsten, Haywood, Kirstie L., Packham, Jon, Jordan, Kelvin P., Davies, Helen, Brophy, Sinead, Irvine, Elizabeth, Cooksey, Roxanne, Dennis, Michael S., Siebert, Stefan, Ibrahim, Fowzia, Krueger, Gerald, Gathany, Tim, Mudivarthy, Surekha, Mack, Michael, Tandon, Neeta, Sieper, Joachim, Braun, Jürgen, van der Heijde, Désirée, Isaacs, John, Dahmen, Georg, Wollenhaupt, Jürgen, Schulze-Koops, Hendrik, Gsteiger, Sandro, Bertolino, Arthur, Hueber, Wolfgang, Tak, Paul P., Cohen, Carla J., Karaderi, Tugce, Pointon, Jennifer J., Wordsworth, Bryan P., Keidel, Sarah, Farrar, Claire, Appleton, Louise H., Adshead, Rebecca, Tahir, Hasan, Greenwood, Mandy, Donnelly, Simon P., Wajed, Julekha, Kirkham, Bruce, Backhouse, Michael R., Vinall, Karen A., Redmond, Anthony, Helliwell, Philip, Keenan, Anne-Maree, Dale, Rebecca M., Thomas, Amanda, Aronson, Diane, Turner-Cobb, Julie, Sengupta, Raj, France, Brisa, Hill, Ingrid, Flurey, Caroline A., Morris, Marianne, Pollock, Jon, Hughes, Rod, Richards, Pam, Hewlett, Sarah, Ryan, Sarah, Lille, Kate, Adams, Jo, Haq, Inam, McArthur, Margaret, Goodacre, Lynne, Birt, Linda, Wilson, Oonagh, Kirwan, John, Dures, Emma, Quest, Enid, Rajak, Rizwan, Thomas, Tasmin, Lawson, Tom, Petford, Sharon, Hale, Elizabeth, Kitas, George D., Gooberman-Hill, Rachael, Jinks, Clare, Dziedzic, Krysia, Bouças, Sofia Barbosa, Hislop, Kelly, Rhodes, Carol, Ali, Fizzah, Ong, Bie Nio, White, Derrick, Hensor, Elizabeth, Ferguson, Anna M., Douiri, Abdel, Scott, David L., Lempp, Heidi, Halls, Serena, Law, Rebecca-Jane, Jones, Jeremy, Markland, David, Maddison, Peter, Thom, Jeanette, Thom, Jeanette M., Breslin, Anne, Kraus, Alexandra, Gordhan, Chandrika, Dennis, Sean, Connor, John, Chowdhary, Bhavani, Lottay, Neena, Juneja, Parmjit, Bacon, Paul A., Isaacs, David, Jack, James, Keller, Majella, Tibble, Jeremy, Hammond, Alison, Gill, Rachel, Tyson, Sarah, Tennant, Alan, Nordenskiold, Ulla, Pease, Emily E., Pease, Colin T., Trehane, Anne, Rahmeh, Fouz, Cornell, Patricia, Westlake, Sarah L., Rose, Katy, Alber, Catherine Fouad, Watson, Liam, Stratton, Richard, Lazarus, Mark, McNeilly, Natasha E., Waterfield, Jackie, Hurley, Mike, Greenwood, James, Clayton, Ann M., Lynch, Michael, Clewes, Adrian, Dawson, Julie, Abernethy, Veronica, Griffiths, Ann E., Chamberlain, Victoria A., McLoughlin, YokeMei, Campbell, Sophie, Hayes, Janita, Moffat, Claire, McKenna, Frank, Shah, Preeti, Williams, Ann, Rhys-Dillon, Ceril, Goodfellow, Rhian, Martin, James C., Bari, Farhan, Hughes, Gwenan, Thomas, Eleri, Baker, Sarah, Collins, David, Price, Elizabeth, Williamson, Lyn, Dunkley, Lisa, Youll, Matthew J., Rodziewicz, Mia, Reynolds, John A., Berry, Jacqueline, Pavey, Chee, Hyrich, Kimme, Gorodkin, Rachel, Wilkinson, Kate, Bruce, Ian, Barton, Anne, Silman, Alan, Ho, Pauline, Cornell, Tricia, Richards, Selwyn, Holmes, A., Parker, S., Smith, H., Briggs, N., Arthanari, S., Nisar, M., Thwaites, Catharine, Kamath, Sanjeet, Price, Shyra, Robinson, Sandra M., Walker, David, Coop, Hazel, Al-Allaf, Wahab, Charleton, Rebecca C., Griffiths, Bridget, Edwards, Elizabeth A., Partlett, Rosamund, Martin, Keith, Tarzi, Mike, Panthakalam, Sathianathan, Freeman, Tanya, Ainley, Louise, Turner, Michael, Hughes, Lyndsay, Russell, Bridget, Jenkins, Suzanne, Done, John, Young, Adam, Jones, Tadeusz, Gaywood, Ian C., Pande, Ira, Pradère, Marie-Josèphe, Bhaduri, Mahua, Smith, Angela, Cook, Haley, Abraham, Sonya, Ngcozana, Tanaka, Denton, Christopher P., Parker, Louise, Black, Carol M., Ong, Voon, Thompson, Nicola, White, Catherine, Duddy, Martin, Jobanputra, Paresh, Bacon, Pauline, Smith, Jacqueline, Richardson, Ann, Giancola, Giorgio, Soh, Vicky, Spencer, Simon, Greenhalgh, Ann, Hanson, Mark, De Lord, Denise, Lloyd, Mark, Wong, Henna, Wren, Damian, Grover, Bob, Hall, John, Neville, Cai, Alton, Peter, Kelly, Stephen, Bombardieri, Michele, Humby, Fran, Ng, Nora, Di Cicco, Maria, Hands, Rebecca, Epis, Oscar, Filer, Andrew, Buckley, Christopher, McInnes, Iain, Taylor, Peter, Pitzalis, Costantino, Freeston, Jane, Conaghan, Philip, Grainger, Andrew, O'Connor, Philip J., Evans, Rob, Emery, Paul, Hodgson, Richard, Fleischmann, Roy, Han, Chenglong, van der Heijde, Desiree, Xu, Weichun, Hsia, Elizabeth, Kavanaugh, Arthur, Gladman, Dafna, Chattopadhyay, Chandrabhusan, Beutler, Anna, Zayat, Ahmed S., Ellegard, Karen, Terslev, Lene, Wakefield, Richard J., Ciurtin, Coziana, Leandro, Maria, Dey, Dzifa, Nandagudi, Anupama, Giles, Ian, Shipley, Mike, Morris, Vanessa, Ioannou, John, Ehrenstein, Michael, Sen, Debajit, Chan, Marian, Quinlan, Tim M., Brophy, Richard, Mewar, Devesh, Patel, Dipti, Wilby, M. J., Pellegrini, Vincent, Eyes, Brian, Crooks, Daniel, Anderson, Marina, Ball, Elisabeth, McKeeman, Helen, Burns, James, Yau, Wing Hoi, Moore, Owen, Foo, Joanne, Benson, Claire, Patterson, Chris, Wright, Gary, Taggart, Allister, Drew, Sarah, Tanner, Lorraine, Sanyal, Kaushik, Bourke, Brian E., Alston, Claire, Baqai, Charlotte, Chard, Michael, Sandhu, Virinderjit, Jordan, Kelsey, Munns, Catherine, Zouita, Louisa, Shattles, Warren, Davies, Ursula, Makadsi, Raad, Griffith, Sian, Kiely, Patrick D., Dimofte, Ionela, Dabu, Mihaela, Dabu, Bogdan, Dobarro, David, Schreiber, Benjamin E., Warrell, Clare, Handler, Clive, Coghlan, Gerry, Denton, Chris, Ishorari, Jasmine, Bunn, Chris, Beynon, Huw, George Malal, Joby J., Boton-Maggs, Ben, Leung, Alexander, Farewell, Daniel, Choy, Ernest, Gullick, Nicola J., Choy, Ernest H., Wincup, Chris, Fisher, Ben, Charles, Peter, Pollard, Louise C., Kirkham, Bruce W., Ma, Margaret H., Ramanujan, Saroja, Cavet, Guy, Haney, Doug, Kingsley, Gabrielle H., Scott, David, Cope, Andrew, Singh, Animesh, Wilson, Jo, Isaacs, Anthony, Wing, Charlotte, McLaughlin, Maeve, Penn, Henry, Genovese, Mark C., Sebba, Anthony, Rubbert-Roth, Andrea, Scali, Juan, Zilberstein, Moshe, Thompson, Liz, Van Vollenhoven, Ronald, De Benedetti, Fabrizio, Brunner, Hermine, Allen, Roger, Brown, Diane, Chaitow, Jeffrey, Pardeo, Manuela, Espada, Graciela, Flato, Berit, Horneff, Gerd, Devlin, Clare, Kenwright, Andrew, Schneider, Rayfel, Woo, Patricia, Martini, Alberto, Lovell, Daniel, Ruperto, Nicola, John, Holly, Hale, Elizabeth D., Treharne, Gareth J., Carroll, Douglas, Mercer, Louise, Low, Audrey, Galloway, James, Watson, Kath, Lunt, Mark, Symmons, Deborah, Davies, Rebecca, Dixon, William, Balarajah, Sharmili, Sandhu, Amrita, Ariyo, Mercy, Rankin, Elizabeth, Sandoo, Aamer, van Zanten, Jet J. Veldhuijzen, Toms, Tracey E., Smith, Jacqueline P., Malik, Saadia, Toberty, Elizabeth, Thalayasingam, Nishanthi, Hamilton, Jennifer, Kelly, Clive, Puntis, Daniel, Saravanan, Vadivelu, Rynne, Martin, Heycock, Carol, Winter, Richard, Wardle, Phil, Toms, Tracey, Cadman, Susan, Nightingale, Peter, Kitas, George, Alhusain, Awal Z., Verstappen, Suzanne M., Mirjafari, Hoda, Charlton-Menys, Valentine, Bunn, Diane, Durrington, Paul, Cooney, Jennifer K., Moore, Jonathan P., Lemmey, Andrew, Jones, Jeremy G., Maddison, Peter J., Ahmad, Yasmeen A., Ahmed, Tazeen J., Leone, Francesca, Browne, Hannah K., Wig, Surabhi, Chevance, Aurelie, Moore, Tonia, Manning, Joanne, Vail, Andy, Herrick, Ariane L., Derrett-Smith, Emma, Hoyles, Rachel, Moinzadeh, Pia, Chighizola, Cecilia, Khan, Korsa, Abraham, David, Warrell, Clare E., Sykes, Rebecca, Muir, Lindsay, Ennis, Holly, Shiwen, Xu, Thompson, Katherine, Liu, Shangxi, Leask, Andrew, Abraham, David J., Strickland, Gemma, Pauling, John, Betteridge, Zoe, Dunphy, Juliet, Owen, Pat, McHugh, Neil, Abignano, Giuseppina, Cuomo, Giovanna, Buch, Maya H., Rosenberg, William M., Valentini, Gabriele, Del Galdo, Francesco, Jenkins, Jessica, Pauling, John D., Howell, Kevin, Nihtyanova, Svetlana, Fonseca, Carmen, Malaviya, Anshuman P., Hadjinicolaou, Andreas V., Nisar, Muhammad K., Ruddlesden, Michael, Furlong, Anita, Baker, Sharon, Hall, Frances C., Raut-Roy, Dominique, Peluso, Rosario, Dario Di Minno, M. N., Iervolino, Salvatore, Costa, Luisa, Atteno, Mariangela, Lofrano, Mariana, Soscia, Ernesto, Castiglione, Fabiana, Foglia, Francesca, Scarpa, Raffaele, Wallis, Dinny, Dougados, Maxime, Keystone, Edward, Heckaman, Michele, Mease, Philip, Landewé, Robert, Nguyen, Dianne, Winfield, Rachel A., Dyke, Claire, Clemence, Mark, Mackay, Kirsten, Haywood, Kirstie L., Packham, Jon, Jordan, Kelvin P., Davies, Helen, Brophy, Sinead, Irvine, Elizabeth, Cooksey, Roxanne, Dennis, Michael S., Siebert, Stefan, Ibrahim, Fowzia, Krueger, Gerald, Gathany, Tim, Mudivarthy, Surekha, Mack, Michael, Tandon, Neeta, Sieper, Joachim, Braun, Jürgen, van der Heijde, Désirée, Isaacs, John, Dahmen, Georg, Wollenhaupt, Jürgen, Schulze-Koops, Hendrik, Gsteiger, Sandro, Bertolino, Arthur, Hueber, Wolfgang, Tak, Paul P., Cohen, Carla J., Karaderi, Tugce, Pointon, Jennifer J., Wordsworth, Bryan P., Keidel, Sarah, Farrar, Claire, Appleton, Louise H., Adshead, Rebecca, Tahir, Hasan, Greenwood, Mandy, Donnelly, Simon P., Wajed, Julekha, and Kirkham, Bruce

Abstract

Background: Foot surgery is common in patients with RA but research into surgical outcomes is limited and conceptually flawed as current outcome measures lack face validity: to date no one has asked patients what is important to them. This study aimed to determine which factors are important to patients when evaluating the success of foot surgery in RA Methods: Semi structured interviews of RA patients who had undergone foot surgery were conducted and transcribed verbatim. Thematic analysis of interviews was conducted to explore issues that were important to patients. Results: 11 RA patients (9 ♂, mean age 59, dis dur = 22yrs, mean of 3 yrs post op) with mixed experiences of foot surgery were interviewed. Patients interpreted outcome in respect to a multitude of factors, frequently positive change in one aspect contrasted with negative opinions about another. Overall, four major themes emerged. Function: Functional ability & participation in valued activities were very important to patients. Walking ability was a key concern but patients interpreted levels of activity in light of other aspects of their disease, reflecting on change in functional ability more than overall level. Positive feelings of improved mobility were often moderated by negative self perception ("I mean, I still walk like a waddling duck”). Appearance: Appearance was important to almost all patients but perhaps the most complex theme of all. Physical appearance, foot shape, and footwear were closely interlinked, yet patients saw these as distinct separate concepts. Patients need to legitimize these feelings was clear and they frequently entered into a defensive repertoire ("it's not cosmetic surgery; it's something that's more important than that, you know?”). Clinician opinion: Surgeons' post operative evaluation of the procedure was very influential. The impact of this appraisal continued to affect patients' lasting impression irrespective of how the outcome compared to their initial goals ("wh

44. The pattern of anti-IL-6 versus non-anti-IL-6 biologic disease modifying anti-rheumatic drugs use in patients with rheumatoid arthritis in Wales, UK: a real-world study using electronic health records.

Author

Cooksey R, Kennedy J, Rahman M, Brophy S, and Choy E

Abstract

Objective: Investigating factors associated with drug initiation and discontinuation in patients treated with anti-IL-6 biologic DMARDs (bDMARDs) (tocilizumab or sarilumab) vs non-anti-IL-6 (anti-TNF, B or T cell therapies) bDMARDs for RA., Methods: A retrospective cohort study of patients with the diagnosis of RA in the Secure Anonymised Information Linkage Databank, comprising primary and secondary care and specialist rheumatology clinic records for >90% of the population in Wales, UK. Patients initiated on first bDMARD treatment, discontinuation and clinical outcomes including infection and hospitalisation were analysed using Cox regression analysis., Results: Of patients identified with RA in their primary care records, 95.7% (4691/4922) received conventional synthetic DMARDs (csDMARDs). More than one-third (36.2%) were treated with bDMARDs (1784/4922). Of these biologic-naïve patients, 6.5% (116) were treated with anti-IL-6 bDMARDs; this treatment was associated with a previous history of infection [difference 8.8% (95% CI 1.1, 17.8)] and kidney disease [14.3% (95% CI 8.0, 22.5)]. Treatment discontinuation was significantly higher in the non-anti-IL-6 bDMARD-treated patients (23.1%) compared with the anti-IL-6 bDMARD-treated individuals (18.1%) [difference 9.4% (95% CI 1.1, 15.7)]. For those discontinuing a first line of treatment, 385 patients (23%) and 21 patients (18%) switched to an alternative bDMARD from the non-anti-IL-6 and anti-IL-6 groups, respectively., Conclusion: Comorbidities, history of infection and kidney disease were associated with choosing anti-IL-6 bDMARDs in biologic-naïve RA patients in Wales. Anti-IL-6 bDMARD-treated biologic-naïve patients were more likely to continue treatment than non-IL-6 bDMARD-treated patients., (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Society for Rheumatology.)

Published
2024
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results