960 results on '"Michael, Hill"'
Number of results to display per page
Search Results
2. How Do Quantitative Tissue Imaging Outcomes in Acute Ischemic Stroke Relate to Clinical Outcomes?
- Author
-
Johanna M. Ospel, Leon Rinkel, Aravind Ganesh, Andrew Demchuk, Manraj Heran, Eric Sauvageau, Manish Joshi, Diogo Haussen, Mahesh Jayaraman, Shelagh Coutts, Amy Yu, Volker Puetz, Dana Iancu, Oh Young Bang, Jason Tarpley, Staffan Holmin, Michael Kelly, Michael Tymianski, Michael Hill, Mayank Goyal, and the ESCAPE-NA1 Investigators
- Subjects
acute stroke ,ischemia ,infarct volume ,thrombectomy ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Background and Purpose Infarct volume and other imaging markers are increasingly used as surrogate measures for clinical outcome in acute ischemic stroke research, but how improvements in these imaging surrogates translate into better clinical outcomes is currently unclear. We investigated how changes in infarct volume at 24 hours alter the probability of achieving good clinical outcome (modified Rankin Scale [mRS] 0–2). Methods Data are from endovascular thrombectomy patients from the randomized controlled ESCAPE-NA1 (Efficacy and Safety of Nerinetide for the Treatment of Acute Ischaemic Stroke) trial. Infarct volume at 24 hours was manually segmented on non-contrast computed tomography or diffusion-weighted magnetic resonance imaging. Probabilities of achieving good outcome based on infarct volume were obtained from a multivariable logistic regression model. The probability of good outcome was plotted against infarct volume using linear spline regression. Results A total of 1,099 patients were included in the analysis (median final infarct volume 24.9 mL [interquartile range: 6.6–92.2]). The relationship between total infarct volume and good outcome probability was nearly linear for infarct volumes between 0 mL and 250 mL. In this range, a 10% increase in the probability of achieving mRS 0–2 required a decrease in infarct volume of approximately 34.0 mL (95% confidence interval: -32.5 to -35.6). At infarct volumes above 250 mL, the probability of achieving mRS 0–2 probability was near zero. The relationships of tissue-specific infarct volumes and parenchymal hemorrhage volume generally showed similar patterns, although variability was high. Conclusion There seems to be a near-linear association between total infarct volume and probability of achieving good outcome for infarcts up to 250 mL, whereas patients with infarct volumes greater than 250 mL are highly unlikely to have a favorable outcome.
- Published
- 2024
- Full Text
- View/download PDF
3. Tenecteplase Versus Alteplase in Medium Vessel Occlusion Ischemic Stroke: A Secondary Analysis of the Alteplase Compared to Tenecteplase Randomized Trial
- Author
-
Fouzi Bala, Nishita Singh, Katrina Ignacio, Ibrahim Alhabli, Ayoola Ademola, Anas Alrohimi, Houman Khosravani, Aleksander Tkach, Luciana Catanese, Dariush Dowlatshahi, Thalia Field, Gary Hunter, Faysal Benali, MacKenzie Horn, Andrew Demchuk, Michael Hill, Tolulope Sajobi, Brian Buck, Richard Swartz, Mohammed Almekhlafi, and Bijoy K. Menon
- Subjects
stroke ,occlusion ,mechanical thrombectomy ,alteplase ,thrombolysis ,ischemic ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Background and Purpose The safety and efficacy of tenecteplase in patients with ischemic stroke due to medium vessel occlusion (MeVO) are not well studied. We aimed to compare tenecteplase with alteplase in stroke due to MeVO. Methods Patients with baseline M2-middle cerebral artery (MCA), M3/M4-MCA, P2/P3/P4-posterior cerebral artery (PCA), A2/A3/A4-anterior cerebral artery (ACA) occlusions from the Alteplase Compared to Tenecteplase (AcT) trial were included. Primary outcome was the proportion of 90-day modified Rankin Scale (mRS) 0–1. Secondary outcomes were 90-day mRS 0–2, ordinal mRS, mortality, quality of life measures (EuroQol 5-Dimension 5-Level, EuroQol visual analog scale), and symptomatic intracerebral hemorrhage (sICH). Initial and final successful reperfusion were reported in patients undergoing endovascular thrombectomy (EVT). Results Among 1,558 patients with available baseline computed tomography angiography; 455 (29.2%) had MeVO of which 27.5% (125/455) were proximal M2; 16.3% (74/455) were distal M2; 35.2% (160/455) were M3/M4; 7.5% (34/455) were A2/A3/A4; and 13.6% (62/455) were P2/P3/P4 occlusions. EVT was performed in 87/455 (19.1%) patients. mRS 0–1 at 90 days was achieved in 37.9% in the tenecteplase versus 34.7% in the alteplase group (adjusted risk ratio [aRR] 1.07; 95% confidence interval [CI] 0.91–1.25). Rates of 90-day mRS 0–2, sICH, and mortality were similar in both groups. No statistical difference was noted in initial successful reperfusion rates (13.0% vs. 7.5%) among the 87 patients who underwent endovascular thrombectomy. However, final successful reperfusion was higher in the tenecteplase group (71.7% vs. 60.0%, aRR 1.29, 95% CI 1.04–1.61). Conclusion Intravenous tenecteplase had comparable safety, functional outcomes and quality of life compared to intravenous alteplase among patients with MeVO. Among those treated with EVT, tenecteplase was associated with higher successful reperfusion rates than alteplase.
- Published
- 2024
- Full Text
- View/download PDF
4. Association Between Family History and Early‐Onset Atrial Flutter Across Racial and Ethnic Groups
- Author
-
Anish S. Shah, Ana Ongtengco, Victor Qiao, Yining Chen, Annette Diaz, Michael Hill, Adarsh Bhan, David S. Tofovic, and Dawood Darbar
- Subjects
atrial flutter ,ethnicity ,family history ,racial groups ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Background Genetic and familial contributions to early‐onset atrial fibrillation are described primarily in individuals of European ancestry. However, the role of racial and familial contributions in the pathogenesis of early‐onset atrial flutter (EOAFL) is unclear. Methods and Results In this cross‐sectional study, participants were enrolled prospectively from 2015 to 2021 in multiple academic centers with a diagnosis of atrial flutter (AFL) confirmed by ECG. EOAFL was defined as a diagnosis of AFL before age 66 years with no concomitant or previous diagnosis of atrial tachyarrhythmias. Family history was adjudicated through baseline questionnaires and direct family interviews about the diagnosis of atrial tachyarrhythmias, stroke, and cardiomyopathy. The primary exposure was a positive family history in first‐degree relatives, and the primary outcome was the odds of EOAFL versus late‐onset AFL. A total of 909 patients were enrolled. Participants with a positive family history of atrial tachyarrhythmias were younger, less likely to be of Black race, and more likely to have EOAFL. The adjusted odds ratio (OR) for EOAFL in those with a positive family history was 1.8 (95% CI, 1.1–3.0). There was an increased odds of EOAFL in those of Black race (OR, 2.1 [95% CI, 1.4–3.2]), alcohol use (OR, 1.6 [95% CI, 1.0–2.6]), and obstructive sleep apnea (OR, 1.9 [95% CI, 1.0–3.4]). Use of cardioselective β blockers or calcium channel blockers before the diagnosis of AFL were associated with a lower odds of EOAFL (OR, 0.5 [95% CI, 0.2–0.9]). Conclusions These findings suggest a potentially hereditary predisposition to EOAFL across race and ethnicity, warranting further study of the genetic contributions to AFL.
- Published
- 2024
- Full Text
- View/download PDF
5. Improving paramedic responses for patients dying at home: a theory of change-based approach
- Author
-
Jane Simpson, Bader Nael Remawi, Kieran Potts, Tania Blackmore, Maddy French, Karen Haydock, Richard Peters, Michael Hill, Oliver-Jon Tidball, Georgina Parker, Michelle Waddington, and Nancy Preston
- Subjects
Paramedic ,End-of-life care ,End of life ,Theory of change ,Terminal care ,Decision-making ,Special situations and conditions ,RC952-1245 ,Medical emergencies. Critical care. Intensive care. First aid ,RC86-88.9 - Abstract
Abstract Background Paramedics are increasingly being called to attend patients dying from advanced incurable conditions. However, confidence to deal with such calls varies, with many feeling relatively unskilled in this aspect of their role. A number of interventions have been piloted to improve their skills in end-of-life care (EoLC) but without a fully specified theoretical model. Theory of Change models can provide theoretical and testable links from intervention activities to proposed long-term outcomes and indicate the areas for assessment of effectiveness. This study aimed to develop an intervention for improving paramedic EoLC for patients in the community. Methods A Theory of Change approach was used as the overarching theoretical framework for developing an intervention to improve paramedic end-of-life skills. Nine stakeholders - including specialist community paramedics, ambulance call handlers and palliative care specialists - were recruited to five consecutive online workshops, ranging between 60 and 90 min. Each workshop had 2–3 facilitators. Over multiple workshops, stakeholders decided on the desired impact, short- and long-term outcomes, and possible interventions. During and between these workshops a Theory of Change model was created, with the components shared with stakeholders. Results The stakeholders agreed the desired impact was to provide consistent, holistic, patient-centred, and effective EoLC. Four potential long-term outcomes were suggested: (1) increased use of anticipatory and regular end-of-life medications; (2) reduced end-of-life clinical and medication errors; (3) reduced unnecessary hospitalisations; (4) increased concordance between patient preferred and actual place of death. Key interventions focused on providing immediate information on what to do in such situations including: appraising the situation, developing an algorithm for a treatment plan (including whether or not to convey to hospital) and how to identify ongoing support in the community. Conclusions A Theory of Change approach was effective at identifying impact, outcomes, and the important features of an end-of-life intervention for paramedics. This study identified the need for paramedics to have immediate access to information and resources to support EoLC, which the workshop stakeholders are now seeking to develop as an intervention.
- Published
- 2023
- Full Text
- View/download PDF
6. Modeling the Decay in Probability of Receiving Endovascular Thrombectomy on the Basis of Time From Stroke Onset
- Author
-
Daniel A. Paydarfar, Jessalyn K. Holodinsky, Michael V. Mazya, Michael Hill, Bijoy Menon, Mahesh Jayaraman, and Noreen Kamal
- Subjects
acute stroke ,decision modeling ,emergency care prehospital ,patient outcome ,probability ,thrombectomy ,Neurology. Diseases of the nervous system ,RC346-429 ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Background American Heart Association guidelines specify infarct core volume as 1 determinant of eligibility for endovascular thrombectomy. Therefore, it is important to understand how time‐dependent infarct core growth translates to a patient's declining probability of thrombectomy eligibility. Modeling the probability that a patient with suspected large‐vessel occlusion would qualify for thrombectomy on the basis of their expected time from stroke onset to treatment can help inform the optimal prehospital emergency transport protocols, maximizing the likelihood of an excellent patient outcome. Methods We extended a published physiological model of infarct core growth to derive a decay curve of thrombectomy eligibility (based on a given infarct core volume threshold) as a function of time from stroke onset. We then adapted an existing model of the time‐dependent probability of an excellent outcome to incorporate this decay curve. Using the adapted model, we determined the optimal prehospital emergency transport protocols in Alberta, Canada, and compared these with the protocols that assumed all patients were thrombectomy eligible. Results The probability of qualifying for thrombectomy decays exponentially as time elapses from stroke onset. We found that the area where mothership is the optimal transport protocol increased by 18.6% after incorporating our decay curve of thrombectomy eligibility into the underlying optimization model. The benefit of mothership versus drip‐and‐ship also increased in the areas where mothership was favored, and in areas where drip‐and‐ship was favored, the benefit of drip‐and‐ship weakened. We also performed a number of sensitivity analyses to observe how these results change on the basis of our assumptions for model parameters. Conclusion This methodology provides a novel, physiology‐based approach to derive a thrombectomy eligibility curve. These models are necessary to better optimize prehospital transport decisions and consequently improve outcomes of patients with suspected large‐vessel occlusion.
- Published
- 2023
- Full Text
- View/download PDF
7. Federated learning enables big data for rare cancer boundary detection
- Author
-
Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-Han Wang, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Deepthi Karkada, Christos Davatzikos, Chiharu Sako, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Philipp Vollmuth, Gianluca Brugnara, Chandrakanth J. Preetha, Felix Sahm, Klaus Maier-Hein, Maximilian Zenk, Martin Bendszus, Wolfgang Wick, Evan Calabrese, Jeffrey Rudie, Javier Villanueva-Meyer, Soonmee Cha, Madhura Ingalhalikar, Manali Jadhav, Umang Pandey, Jitender Saini, John Garrett, Matthew Larson, Robert Jeraj, Stuart Currie, Russell Frood, Kavi Fatania, Raymond Y. Huang, Ken Chang, Carmen Balaña Quintero, Jaume Capellades, Josep Puig, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Gaurav Shukla, Spencer Liem, Gregory S. Alexander, Joseph Lombardo, Joshua D. Palmer, Adam E. Flanders, Adam P. Dicker, Haris I. Sair, Craig K. Jones, Archana Venkataraman, Meirui Jiang, Tiffany Y. So, Cheng Chen, Pheng Ann Heng, Qi Dou, Michal Kozubek, Filip Lux, Jan Michálek, Petr Matula, Miloš Keřkovský, Tereza Kopřivová, Marek Dostál, Václav Vybíhal, Michael A. Vogelbaum, J. Ross Mitchell, Joaquim Farinhas, Joseph A. Maldjian, Chandan Ganesh Bangalore Yogananda, Marco C. Pinho, Divya Reddy, James Holcomb, Benjamin C. Wagner, Benjamin M. Ellingson, Timothy F. Cloughesy, Catalina Raymond, Talia Oughourlian, Akifumi Hagiwara, Chencai Wang, Minh-Son To, Sargam Bhardwaj, Chee Chong, Marc Agzarian, Alexandre Xavier Falcão, Samuel B. Martins, Bernardo C. A. Teixeira, Flávia Sprenger, David Menotti, Diego R. Lucio, Pamela LaMontagne, Daniel Marcus, Benedikt Wiestler, Florian Kofler, Ivan Ezhov, Marie Metz, Rajan Jain, Matthew Lee, Yvonne W. Lui, Richard McKinley, Johannes Slotboom, Piotr Radojewski, Raphael Meier, Roland Wiest, Derrick Murcia, Eric Fu, Rourke Haas, John Thompson, David Ryan Ormond, Chaitra Badve, Andrew E. Sloan, Vachan Vadmal, Kristin Waite, Rivka R. Colen, Linmin Pei, Murat Ak, Ashok Srinivasan, J. Rajiv Bapuraj, Arvind Rao, Nicholas Wang, Ota Yoshiaki, Toshio Moritani, Sevcan Turk, Joonsang Lee, Snehal Prabhudesai, Fanny Morón, Jacob Mandel, Konstantinos Kamnitsas, Ben Glocker, Luke V. M. Dixon, Matthew Williams, Peter Zampakis, Vasileios Panagiotopoulos, Panagiotis Tsiganos, Sotiris Alexiou, Ilias Haliassos, Evangelia I. Zacharaki, Konstantinos Moustakas, Christina Kalogeropoulou, Dimitrios M. Kardamakis, Yoon Seong Choi, Seung-Koo Lee, Jong Hee Chang, Sung Soo Ahn, Bing Luo, Laila Poisson, Ning Wen, Pallavi Tiwari, Ruchika Verma, Rohan Bareja, Ipsa Yadav, Jonathan Chen, Neeraj Kumar, Marion Smits, Sebastian R. van der Voort, Ahmed Alafandi, Fatih Incekara, Maarten M. J. Wijnenga, Georgios Kapsas, Renske Gahrmann, Joost W. Schouten, Hendrikus J. Dubbink, Arnaud J. P. E. Vincent, Martin J. van den Bent, Pim J. French, Stefan Klein, Yading Yuan, Sonam Sharma, Tzu-Chi Tseng, Saba Adabi, Simone P. Niclou, Olivier Keunen, Ann-Christin Hau, Martin Vallières, David Fortin, Martin Lepage, Bennett Landman, Karthik Ramadass, Kaiwen Xu, Silky Chotai, Lola B. Chambless, Akshitkumar Mistry, Reid C. Thompson, Yuriy Gusev, Krithika Bhuvaneshwar, Anousheh Sayah, Camelia Bencheqroun, Anas Belouali, Subha Madhavan, Thomas C. Booth, Alysha Chelliah, Marc Modat, Haris Shuaib, Carmen Dragos, Aly Abayazeed, Kenneth Kolodziej, Michael Hill, Ahmed Abbassy, Shady Gamal, Mahmoud Mekhaimar, Mohamed Qayati, Mauricio Reyes, Ji Eun Park, Jihye Yun, Ho Sung Kim, Abhishek Mahajan, Mark Muzi, Sean Benson, Regina G. H. Beets-Tan, Jonas Teuwen, Alejandro Herrera-Trujillo, Maria Trujillo, William Escobar, Ana Abello, Jose Bernal, Jhon Gómez, Joseph Choi, Stephen Baek, Yusung Kim, Heba Ismael, Bryan Allen, John M. Buatti, Aikaterini Kotrotsou, Hongwei Li, Tobias Weiss, Michael Weller, Andrea Bink, Bertrand Pouymayou, Hassan F. Shaykh, Joel Saltz, Prateek Prasanna, Sampurna Shrestha, Kartik M. Mani, David Payne, Tahsin Kurc, Enrique Pelaez, Heydy Franco-Maldonado, Francis Loayza, Sebastian Quevedo, Pamela Guevara, Esteban Torche, Cristobal Mendoza, Franco Vera, Elvis Ríos, Eduardo López, Sergio A. Velastin, Godwin Ogbole, Mayowa Soneye, Dotun Oyekunle, Olubunmi Odafe-Oyibotha, Babatunde Osobu, Mustapha Shu’aibu, Adeleye Dorcas, Farouk Dako, Amber L. Simpson, Mohammad Hamghalam, Jacob J. Peoples, Ricky Hu, Anh Tran, Danielle Cutler, Fabio Y. Moraes, Michael A. Boss, James Gimpel, Deepak Kattil Veettil, Kendall Schmidt, Brian Bialecki, Sailaja Marella, Cynthia Price, Lisa Cimino, Charles Apgar, Prashant Shah, Bjoern Menze, Jill S. Barnholtz-Sloan, Jason Martin, and Spyridon Bakas
- Subjects
Science - Abstract
Federated ML (FL) provides an alternative to train accurate and generalizable ML models, by only sharing numerical model updates. Here, the authors present the largest FL study to-date to generate an automatic tumor boundary detector for glioblastoma.
- Published
- 2022
- Full Text
- View/download PDF
8. Adiposity and NMR-measured lipid and metabolic biomarkers among 30,000 Mexican adults
- Author
-
Diego Aguilar-Ramirez, William G. Herrington, Jesus Alegre-Díaz, Natalie Staplin, Raúl Ramírez-Reyes, Louisa Friedrichs Gnatiuc, Michael Hill, Frederik Romer, Eirini Trichia, Fiona Bragg, Rachel Wade, Sarah Lewington, Rory Collins, Jonathan R. Emberson, Pablo Kuri-Morales, and Roberto Tapia-Conyer
- Subjects
Medicine - Abstract
Aguilar-Ramirez et al. examine cross-sectional associations between adiposity and metabolic traits among Mexican adults. Their findings suggest that higher total and central adiposity relate adversely, whilst higher gluteo-femoral adiposity relates favourably, to numerous metabolic factors relevant to disease risk.
- Published
- 2022
- Full Text
- View/download PDF
9. Performance of self-collected saliva samples for SARS-CoV-2 mass testing in community settings
- Author
-
Olivia Kay, Matthias E Futschik, Elena Turek, David Chapman, Simon Carr, Malur Sudhanva, Paul E. Klapper, Tony Cox, Michael Hill, Joanna Cole-Hamilton, Peter Marks, Sarah A Tunkel, Timothy Peto, Lindsey Davies, and Tom Fowler
- Subjects
COVID-19 ,SARS-CoV-2 RNA ,qRT-PCR ,Mass testing ,Self-sampling ,Saliva ,Infectious and parasitic diseases ,RC109-216 - Abstract
Background: Saliva has been considered a suitable sample material for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA testing, but uncertainty remained regarding sensitivity and reliability of different saliva collection methods. Objectives: This study aimed to investigate the potential utility of expectorated saliva (ES) and drooled saliva (DS) for community mass testing. Study design: Self-collected ES and DS samples were obtained in a prospective cohort study with 2,878 participants. The utility of saliva for SARS-CoV-2 qRT-PCR testing was assessed by comparing the capacity to detect SARS-CoV-2 positive cases with results for self-collected combined throat and nose (CTN) swabs. Additionally, quantification cycle (Cq) values were compared. Results: ES- and DS-based tests showed the same high level of concordance (98% vs 98%) with CTN swab-based results. Sensitivity was higher for DS (94%) than for ES (83%) or CTN swab (90%) but differences were statistically not significant. Comparing only symptomatic cases, however, a significantly higher sensitivity of DS (96%) than of ES (76%) or CTN swab (91%) was observed. Cq values of saliva and swab specimen were significantly correlated and appeared to be not impacted by age or other potentially confounding factors. Conclusions: Saliva-based SARS-CoV-2 RNA testing showed high diagnostic accuracy and can be considered an alternative where swabbing may not be tolerated or operationally feasible. DS yielded the same or better diagnostic performance compared to ES and may present a preferred option with reduced aerosol risk and increased compliance.
- Published
- 2023
- Full Text
- View/download PDF
10. Debby finally moves out of the US, though some flooding risk and power outages remain
- Author
-
SHARP, MICHAEL HILL DAVID and WHITTLE, PATRICK
- Subjects
Power failure ,News, opinion and commentary - Abstract
The sun came out but the power stayed off in more than 100,000 homes and businesses across four states Saturday as Debby finally moved out of the U.S. After first [...]
- Published
- 2024
11. Debby bringing heavy rain, flooding and possible tornadoes northeast into the weekend
- Author
-
SHARP, MICHAEL HILL DAVID and WHITTLE, PATRICK
- Subjects
Floods -- South Carolina -- West Virginia -- North Carolina ,News, opinion and commentary - Abstract
LUCAMA, N.C. (AP) — The remnants of https://apnews.com/article/hurricane-tropical-storm-debby-flooding-d90428b0417df35fa1cae8b24793f5c5 picked up the pace Friday, moving north and northeast from the Carolinas and still packing a punch with heavy rains, flash flooding [...]
- Published
- 2024
12. Pneumomediastinum due to spontaneous tracheal breach in COVID-19
- Author
-
Sara M. Glendinning, OMS III, Michael Hill, MD, and Matthew Forte, MD
- Subjects
Spontaneous pneumomediastinum ,COVID-19 ,Tracheal breach ,Medical physics. Medical radiology. Nuclear medicine ,R895-920 - Abstract
Patients who have contracted coronavirus disease 2019 (COVID-19) have a wide variety of complications, many of them involving the respiratory system. One noted complication has been pneumomediastinum. The 63-year-old gentleman, in this case, had contracted COVID-19 and was admitted to the hospital for hypoxemia. He required high-flow nasal canula oxygen but did not get intubated. On day 12 of admission, the patient had a rapid hypoxemic episode after rising from a chair and fell. Diffuse airspace infiltrates were seen on chest x-ray, signifying a possible pneumomediastinum. A CT scan confirmed pneumomediastinum, and the likely mechanism was a tracheal breach just superior to the carina. This case highlights a unique mechanism as few papers have described this etiology with such clear imaging. Surgical treatment options were considered since the likely etiology could be traced to the tracheal defect, but the patient was ultimately managed conservatively with high flow nasal cannula oxygen.
- Published
- 2022
- Full Text
- View/download PDF
13. Identification of host–pathogen-disease relationships using a scalable multiplex serology platform in UK Biobank
- Author
-
Alexander J. Mentzer, Nicole Brenner, Naomi Allen, Thomas J. Littlejohns, Amanda Y. Chong, Adrian Cortes, Rachael Almond, Michael Hill, Simon Sheard, Gil McVean, UKB Infection Advisory Board, Rory Collins, Adrian V. S. Hill, and Tim Waterboer
- Subjects
Science - Abstract
Here, the authors design a multiplex serology platform to quantitatively measure antibodies against 20 infectious agents in UK Biobank participants and confirm associations of antibody responses with sociodemographic characteristics, HLA genetic variants, and disease outcomes.
- Published
- 2022
- Full Text
- View/download PDF
14. Diabetes and infectious disease mortality in Mexico City
- Author
-
Michael Hill, Rory Collins, Richard Peto, Jonathan R Emberson, Fiona Bragg, Rachel Wade, William G Herrington, PABLO KURI-MORALES, ROBERTO TAPIA-CONYER, Jaime Berumen, Adrián Garcilazo-Ávila, Carlos Gonzáles-Carballo, Raúl Ramírez-Reyes, Rogelio Santacruz-Benitez, Diego Aguilar-Ramirez, Louisa Gnatiuc Friedrichs, Eirini Trichia, and Jesus Alegre-Diaz
- Subjects
Diseases of the endocrine glands. Clinical endocrinology ,RC648-665 - Abstract
Introduction Although higher risks of infectious diseases among individuals with diabetes have long been recognized, the magnitude of these risks is poorly described, particularly in lower income settings. This study sought to assess the risk of death from infection associated with diabetes in Mexico.Research design and methods Between 1998 and 2004, a total of 159 755 adults ≥35 years were recruited from Mexico City and followed up until January 2021 for cause-specific mortality. Cox regression yielded adjusted rate ratios (RR) for death due to infection associated with previously diagnosed and undiagnosed (HbA1c ≥6.5%) diabetes and, among participants with previously diagnosed diabetes, with duration of diabetes and with HbA1c.Results Among 130 997 participants aged 35–74 and without other prior chronic diseases at recruitment, 12.3% had previously diagnosed diabetes, with a mean (SD) HbA1c of 9.1% (2.5%), and 4.9% had undiagnosed diabetes. During 2.1 million person-years of follow-up, 2030 deaths due to infectious causes were recorded at ages 35–74. Previously diagnosed diabetes was associated with an RR for death from infection of 4.48 (95% CI 4.05–4.95), compared with participants without diabetes, with notably strong associations with death from urinary tract (9.68 (7.07–13.3)) and skin, bone and connective tissue (9.19 (5.92–14.3)) infections and septicemia (8.37 (5.97–11.7)). In those with previously diagnosed diabetes, longer diabetes duration (1.03 (1.02–1.05) per 1 year) and higher HbA1c (1.12 (1.08–1.15) per 1.0%) were independently associated with higher risk of death due to infection. Even among participants with undiagnosed diabetes, the risk of death due to infection was nearly treble the risk of those without diabetes (2.69 (2.31–3.13)).Conclusions In this study of Mexican adults, diabetes was common, frequently poorly controlled, and associated with much higher risks of death due to infection than observed previously, accounting for approximately one-third of all premature mortality due to infection.
- Published
- 2023
- Full Text
- View/download PDF
15. Ten ways to improve academic CVs for fairer research assessment
- Author
-
Michaela Strinzel, Josh Brown, Wolfgang Kaltenbrunner, Sarah de Rijcke, and Michael Hill
- Subjects
History of scholarship and learning. The humanities ,AZ20-999 ,Social Sciences - Abstract
Academic CVs are ubiquitous and play an integral role in the assessment of researchers. They define and portray what activities and achievements are considered important in the scientific system. Developing their content and structure beyond the traditional, publication-focused CV has the potential to make research careers more diverse and their assessment fairer and more transparent. This comment presents ten ways to further develop the content and structure of academic CVs. The recommendations are inspired by a workshop of the CV Harmonization Group (H-Group), a joint initiative between researchers on research, academic data infrastructure organizations, and representatives from >15 funding organizations. The proposed improvements aim at inspiring development and innovation in academic CVs for funding agencies and hiring committees.
- Published
- 2021
- Full Text
- View/download PDF
16. The use of video job-aids to improve the quality of seasonal malaria chemoprevention delivery.
- Author
-
Susana Scott, Bienvenu Salim Camara, Michael Hill, Eugène Kaman Lama, Lansana Barry, Aurore Ogouyemi-Hounto, William Houndjo, Gauthier Tougri, Nombre Yacouba, Dorothy Achu, Marcellin Ateba, Mahamat Saleh Issakha Diar, Keziah L Malm, Kofi Adomako, Paolo Djata, Wica Da Silva, Idrissa Cissé, Vincent Sanogo, Hadiza Jackou, Nnenna Ogbulafor, Bala M Adu, Jamilu Nikau, Seynabou Gaye, Alioune Badara Gueye, Balla Kandeh, Olimatou Kolley, Tinah Atcha-Oubou, Tchassama Tchadjobo, Kovana Marcel Loua, Andre-Marie Tchouatieu, Ibrahima Mbaye, Maria-Angeles Lima-Parra, Abena Poku-Awuku, Jean Louis Ndiaye, Corinne Merle, Liz Thomas, and Paul Milligan
- Subjects
Computer applications to medicine. Medical informatics ,R858-859.7 - Abstract
Mobile phones are increasingly used in community health programmes, but the use of video job-aids that can be displayed on smart phones has not been widely exploited. We investigated the use of video job-aids to support the delivery of seasonal malaria chemoprevention (SMC) in countries in West and Central Africa. The study was prompted by the need for training tools that could be used in a socially distanced manner during the COVID-19 pandemic. Animated videos were developed in English, French, Portuguese, Fula and Hausa, illustrating key steps for administering SMC safely, including wearing masks, washing hands, and social distancing. Through a consultative process with the national malaria programmes of countries using SMC, successive versions of the script and videos were reviewed to ensure accurate and relevant content. Online workshops were held with programme managers to plan how to use the videos in SMC staff training and supervision, and the use of the videos was evaluated in Guinea through focus groups and in-depth interviews with drug distributors and other staff involved in SMC delivery and through direct observations of SMC administration. Programme managers found the videos useful as they reinforce messages, can be viewed at any time and repeatedly, and when used during training sessions, provide a focus of discussion and support for trainers and help retain messages. Managers requested that local specificities of SMC delivery in their setting be included in tailored versions of the video for their country, and videos were required to be narrated in a variety of local languages. In Guinea, SMC drug distributors found the video covered the all the essential steps and found the video easy to understand. However, not all key messages were followed as some of the safety measures, social distancing and wearing masks, were perceived by some as creating mistrust amongst communities. Video job-aids can potentially provide an efficient means of reaching large numbers of drug distributors with guidance for safe and effective distribution of SMC. Not all distributors use android phones, but SMC programmes are increasingly providing drug distributors with android devices to track delivery, and personal ownership of smartphones in sub-Saharan Africa is growing. The use of video job-aids for community health workers to improve the quality delivery of SMC, or of other primary health care interventions, should be more widely evaluated.
- Published
- 2022
- Full Text
- View/download PDF
17. Author Correction: Federated learning enables big data for rare cancer boundary detection
- Author
-
Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-Han Wang, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Deepthi Karkada, Christos Davatzikos, Chiharu Sako, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Philipp Vollmuth, Gianluca Brugnara, Chandrakanth J. Preetha, Felix Sahm, Klaus Maier-Hein, Maximilian Zenk, Martin Bendszus, Wolfgang Wick, Evan Calabrese, Jeffrey Rudie, Javier Villanueva-Meyer, Soonmee Cha, Madhura Ingalhalikar, Manali Jadhav, Umang Pandey, Jitender Saini, John Garrett, Matthew Larson, Robert Jeraj, Stuart Currie, Russell Frood, Kavi Fatania, Raymond Y. Huang, Ken Chang, Carmen Balaña, Jaume Capellades, Josep Puig, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Gaurav Shukla, Spencer Liem, Gregory S. Alexander, Joseph Lombardo, Joshua D. Palmer, Adam E. Flanders, Adam P. Dicker, Haris I. Sair, Craig K. Jones, Archana Venkataraman, Meirui Jiang, Tiffany Y. So, Cheng Chen, Pheng Ann Heng, Qi Dou, Michal Kozubek, Filip Lux, Jan Michálek, Petr Matula, Miloš Keřkovský, Tereza Kopřivová, Marek Dostál, Václav Vybíhal, Michael A. Vogelbaum, J. Ross Mitchell, Joaquim Farinhas, Joseph A. Maldjian, Chandan Ganesh Bangalore Yogananda, Marco C. Pinho, Divya Reddy, James Holcomb, Benjamin C. Wagner, Benjamin M. Ellingson, Timothy F. Cloughesy, Catalina Raymond, Talia Oughourlian, Akifumi Hagiwara, Chencai Wang, Minh-Son To, Sargam Bhardwaj, Chee Chong, Marc Agzarian, Alexandre Xavier Falcão, Samuel B. Martins, Bernardo C. A. Teixeira, Flávia Sprenger, David Menotti, Diego R. Lucio, Pamela LaMontagne, Daniel Marcus, Benedikt Wiestler, Florian Kofler, Ivan Ezhov, Marie Metz, Rajan Jain, Matthew Lee, Yvonne W. Lui, Richard McKinley, Johannes Slotboom, Piotr Radojewski, Raphael Meier, Roland Wiest, Derrick Murcia, Eric Fu, Rourke Haas, John Thompson, David Ryan Ormond, Chaitra Badve, Andrew E. Sloan, Vachan Vadmal, Kristin Waite, Rivka R. Colen, Linmin Pei, Murat Ak, Ashok Srinivasan, J. Rajiv Bapuraj, Arvind Rao, Nicholas Wang, Ota Yoshiaki, Toshio Moritani, Sevcan Turk, Joonsang Lee, Snehal Prabhudesai, Fanny Morón, Jacob Mandel, Konstantinos Kamnitsas, Ben Glocker, Luke V. M. Dixon, Matthew Williams, Peter Zampakis, Vasileios Panagiotopoulos, Panagiotis Tsiganos, Sotiris Alexiou, Ilias Haliassos, Evangelia I. Zacharaki, Konstantinos Moustakas, Christina Kalogeropoulou, Dimitrios M. Kardamakis, Yoon Seong Choi, Seung-Koo Lee, Jong Hee Chang, Sung Soo Ahn, Bing Luo, Laila Poisson, Ning Wen, Pallavi Tiwari, Ruchika Verma, Rohan Bareja, Ipsa Yadav, Jonathan Chen, Neeraj Kumar, Marion Smits, Sebastian R. van der Voort, Ahmed Alafandi, Fatih Incekara, Maarten M. J. Wijnenga, Georgios Kapsas, Renske Gahrmann, Joost W. Schouten, Hendrikus J. Dubbink, Arnaud J. P. E. Vincent, Martin J. van den Bent, Pim J. French, Stefan Klein, Yading Yuan, Sonam Sharma, Tzu-Chi Tseng, Saba Adabi, Simone P. Niclou, Olivier Keunen, Ann-Christin Hau, Martin Vallières, David Fortin, Martin Lepage, Bennett Landman, Karthik Ramadass, Kaiwen Xu, Silky Chotai, Lola B. Chambless, Akshitkumar Mistry, Reid C. Thompson, Yuriy Gusev, Krithika Bhuvaneshwar, Anousheh Sayah, Camelia Bencheqroun, Anas Belouali, Subha Madhavan, Thomas C. Booth, Alysha Chelliah, Marc Modat, Haris Shuaib, Carmen Dragos, Aly Abayazeed, Kenneth Kolodziej, Michael Hill, Ahmed Abbassy, Shady Gamal, Mahmoud Mekhaimar, Mohamed Qayati, Mauricio Reyes, Ji Eun Park, Jihye Yun, Ho Sung Kim, Abhishek Mahajan, Mark Muzi, Sean Benson, Regina G. H. Beets-Tan, Jonas Teuwen, Alejandro Herrera-Trujillo, Maria Trujillo, William Escobar, Ana Abello, Jose Bernal, Jhon Gómez, Joseph Choi, Stephen Baek, Yusung Kim, Heba Ismael, Bryan Allen, John M. Buatti, Aikaterini Kotrotsou, Hongwei Li, Tobias Weiss, Michael Weller, Andrea Bink, Bertrand Pouymayou, Hassan F. Shaykh, Joel Saltz, Prateek Prasanna, Sampurna Shrestha, Kartik M. Mani, David Payne, Tahsin Kurc, Enrique Pelaez, Heydy Franco-Maldonado, Francis Loayza, Sebastian Quevedo, Pamela Guevara, Esteban Torche, Cristobal Mendoza, Franco Vera, Elvis Ríos, Eduardo López, Sergio A. Velastin, Godwin Ogbole, Mayowa Soneye, Dotun Oyekunle, Olubunmi Odafe-Oyibotha, Babatunde Osobu, Mustapha Shu’aibu, Adeleye Dorcas, Farouk Dako, Amber L. Simpson, Mohammad Hamghalam, Jacob J. Peoples, Ricky Hu, Anh Tran, Danielle Cutler, Fabio Y. Moraes, Michael A. Boss, James Gimpel, Deepak Kattil Veettil, Kendall Schmidt, Brian Bialecki, Sailaja Marella, Cynthia Price, Lisa Cimino, Charles Apgar, Prashant Shah, Bjoern Menze, Jill S. Barnholtz-Sloan, Jason Martin, and Spyridon Bakas
- Subjects
Science - Published
- 2023
- Full Text
- View/download PDF
18. The authors’ reply to comments on 'dengue management in triage using ultrasound in children from Cambodia: A prospective cohort study'
- Author
-
Timothy Gleeson, Yos Pagnarith, Eang Habsreng, Robert Lindsay, Michael Hill, Alexandra Sanseverino, Viral Patel, and Romolo Gaspari
- Subjects
Public aspects of medicine ,RA1-1270 - Published
- 2022
- Full Text
- View/download PDF
19. Defining major trauma: a Delphi study
- Author
-
Lee Thompson, Michael Hill, Fiona Lecky, and Gary Shaw
- Subjects
Major trauma ,Delphi ,Prehospital ,Medical emergencies. Critical care. Intensive care. First aid ,RC86-88.9 - Abstract
Abstract Introduction Retrospective trauma scores are often used to categorise trauma, however, they have little utility in the prehospital or hyper-acute setting and do not define major trauma to non-specialists. This study employed a Delphi process in order to gauge degrees of consensus/disagreement amongst expert panel members to define major trauma. Method A two round modified Delphi technique was used to explore subject-expert consensus and identify variables to define major trauma through systematically collating questionnaire responses. After initial descriptive analysis of variables, Kruskal-Wallis tests were used to determine statistically significant differences (p 70% was achieved on many variables which included the identification of life/limb threatening injuries, deranged physiology, need for intensive care interventions and that extremes of age need special consideration. It was also acknowledged that retrospective injury severity scoring has a role to play but is not the only method of defining major trauma. Various factors had a majority of agreement/disagreement but did not meet the pre-set criteria of 70% agreement. These included the topics of burns, spinal immobilisation and whether a major trauma centre is the only place where major trauma can be managed. Conclusion Based upon the output of this Delphi study, major trauma may be defined as: “Significant injury or injuries that have potential to be life-threatening or life-changing sustained from either high energy mechanisms or low energy mechanisms in those rendered vulnerable by extremes of age”.
- Published
- 2021
- Full Text
- View/download PDF
20. Anticoagulant selection in relation to the SAMe-TT2R2 score in patients with atrial fibrillation: The GLORIA-AF registry
- Author
-
George Ntaios, Menno V. Huisman, Hans-Christoph Diener, Jonathan L. Halperin, Christine Teutsch, Sabrina Marler, Venkatesh K. Gurusamy, Milla Thompson, Gregory Y.H. Lip, Brian Olshansky, Dzifa Wosornu Abban, Nasser Abdul, Atilio Marcelo Abud, Fran Adams, Srinivas Addala, Pedro Adragão, Walter Ageno, Rajesh Aggarwal, Sergio Agosti, Piergiuseppe Agostoni, Francisco Aguilar, Julio Aguilar Linares, Luis Aguinaga, Jameel Ahmed, Allessandro Aiello, Paul Ainsworth, Jorge Roberto Aiub, Raed Al-Dallow, Lisa Alderson, Jorge Antonio Aldrete Velasco, Dimitrios Alexopoulos, Fernando Alfonso Manterola, Pareed Aliyar, David Alonso, Fernando Augusto Alves da Costa, José Amado, Walid Amara, Mathieu Amelot, Nima Amjadi, Fabrizio Ammirati, Marianna Andrade, Nabil Andrawis, Giorgio Annoni, Gerardo Ansalone, M.Kevin Ariani, Juan Carlos Arias, Sébastien Armero, Chander Arora, Muhammad Shakil Aslam, M. Asselman, Philippe Audouin, Charles Augenbraun, S. Aydin, Ivaneta Ayryanova, Emad Aziz, Luciano Marcelo Backes, E. Badings, Ermentina Bagni, Seth H. Baker, Richard Bala, Antonio Baldi, Shigenobu Bando, Subhash Banerjee, Alan Bank, Gonzalo Barón Esquivias, Craig Barr, Maria Bartlett, Vanja Basic Kes, Giovanni Baula, Steffen Behrens, Alan Bell, Raffaella Benedetti, Juan Benezet Mazuecos, Bouziane Benhalima, Jutta Bergler-Klein, Jean-Baptiste Berneau, Richard A. Bernstein, Percy Berrospi, Sergio Berti, Andrea Berz, Elizabeth Best, Paulo Bettencourt, Robert Betzu, Ravi Bhagwat, Luna Bhatta, Francesco Biscione, Giovanni BISIGNANI, Toby Black, Michael J. Bloch, Stephen Bloom, Edwin Blumberg, Mario Bo, Ellen Bøhmer, Andreas Bollmann, Maria Grazia Bongiorni, Giuseppe Boriani, D.J. Boswijk, Jochen Bott, Edo Bottacchi, Marica Bracic Kalan, Drew Bradman, Donald Brautigam, Nicolas Breton, P.J.A.M. Brouwers, Kevin Browne, Jordi Bruguera Cortada, A. Bruni, Claude Brunschwig, Hervé Buathier, Aurélie Buhl, John Bullinga, Jose Walter Cabrera, Alberto Caccavo, Shanglang Cai, Sarah Caine, Leonardo Calò, Valeria Calvi, Mauricio Camarillo Sánchez, Rui Candeias, Vincenzo Capuano, Alessandro Capucci, Ronald Caputo, Tatiana Cárdenas Rizo, Francisco Cardona, Francisco Carlos da Costa Darrieux, Yan Carlos Duarte Vera, Antonio Carolei, Susana Carreño, Paula Carvalho, Susanna Cary, Gavino Casu, Claudio Cavallini, Guillaume Cayla, Aldo Celentano, Tae-Joon Cha, Kwang Soo Cha, Jei Keon Chae, Kathrine Chalamidas, Krishnan Challappa, Sunil Prakash Chand, Harinath Chandrashekar, Ludovic Chartier, Kausik Chatterjee, Carlos Antero Chavez Ayala, Aamir Cheema, Amjad Cheema, Lin Chen, Shih-Ann Chen, Jyh Hong Chen, Fu-Tien Chiang, Francesco Chiarella, Lin Chih-Chan, Yong Keun Cho, Jong-Il Choi, Dong Ju Choi, Guy Chouinard, Danny Hoi-Fan Chow, Dimitrios Chrysos, Galina Chumakova, Eduardo Julián José Roberto Chuquiure Valenzuela, Nicoleta Cindea Nica, David J. Cislowski, Anthony Clay, Piers Clifford, Andrew Cohen, Michael Cohen, Serge Cohen, Furio Colivicchi, Ronan Collins, Paolo Colonna, Steve Compton, Derek Connolly, Alberto Conti, Gabriel Contreras Buenostro, Gregg Coodley, Martin Cooper, Julian Coronel, Giovanni Corso, Juan Cosín Sales, Yves Cottin, John Covalesky, Aurel Cracan, Filippo Crea, Peter Crean, James Crenshaw, Tina Cullen, Harald Darius, Patrick Dary, Olivier Dascotte, Ira Dauber, Vicente Davalos, Ruth Davies, Gershan Davis, Jean-Marc Davy, Mark Dayer, Marzia De Biasio, Silvana De Bonis, Raffaele De Caterina, Teresiano De Franceschi, J.R. de Groot, José De Horta, Axel De La Briolle, Gilberto de la Pena Topete, Angelo Amato Vicenzo de Paola, Weimar de Souza, A. de Veer, Luc De Wolf, Eric Decoulx, Sasalu Deepak, Pascal Defaye, Freddy Del-Carpio Munoz, Diana Delic Brkljacic, N. Joseph Deumite, Silvia Di Legge, Igor Diemberger, Denise Dietz, Pedro Dionísio, Qiang Dong, Fabio Rossi dos Santos, Elena Dotcheva, Rami Doukky, Anthony D'Souza, Simon Dubrey, Xavier Ducrocq, Dmitry Dupljakov, Mauricio Duque, Dipankar Dutta, Nathalie Duvilla, A. Duygun, Rainer Dziewas, Charles B. Eaton, William Eaves, L.A. Ebels-Tuinbeek, Clifford Ehrlich, Sabine Eichinger-Hasenauer, Steven J. Eisenberg, Adnan El Jabali, Mahfouz El Shahawy, Mauro Esteves Hernandes, Ana Etxeberria Izal, Rudolph Evonich, III, Oksana Evseeva, Andrey Ezhov, Raed Fahmy, Quan Fang, Ramin Farsad, Laurent Fauchier, Stefano Favale, Maxime Fayard, Jose Luis Fedele, Francesco Fedele, Olga Fedorishina, Steven R. Fera, Luis Gustavo Gomes Ferreira, Jorge Ferreira, Claudio Ferri, Anna Ferrier, Hugo Ferro, Alexandra Finsen, Brian First, Stuart Fischer, Catarina Fonseca, Luísa Fonseca Almeida, Steven Forman, Brad Frandsen, William French, Keith Friedman, Athena Friese, Ana Gabriela Fruntelata, Shigeru Fujii, Stefano Fumagalli, Marta Fundamenski, Yutaka Furukawa, Matthias Gabelmann, Nashwa Gabra, Niels Gadsbøll, Michel Galinier, Anders Gammelgaard, Priya Ganeshkumar, Christopher Gans, Antonio Garcia Quintana, Olivier Gartenlaub, Achille Gaspardone, Conrad Genz, Frédéric Georger, Jean-Louis Georges, Steven Georgeson, Evaldas Giedrimas, Mariusz Gierba, Ignacio Gil Ortega, Eve Gillespie, Alberto Giniger, Michael C. Giudici, Alexandros Gkotsis, Taya V. Glotzer, Joachim Gmehling, Jacek Gniot, Peter Goethals, Seth Goldbarg, Ronald Goldberg, Britta Goldmann, Sergey Golitsyn, Silvia Gómez, Juan Gomez Mesa, Vicente Bertomeu Gonzalez, Jesus Antonio Gonzalez Hermosillo, Víctor Manuel González López, Hervé Gorka, Charles Gornick, Diana Gorog, Venkat Gottipaty, Pascal Goube, Ioannis Goudevenos, Brett Graham, G. Stephen Greer, Uwe Gremmler, Paul G. Grena, Martin Grond, Edoardo Gronda, Gerian Grönefeld, Xiang Gu, Ivett Guadalupe Torres Torres, Gabriele Guardigli, Carolina Guevara, Alexandre Guignier, Michele Gulizia, Michael Gumbley, Albrecht Günther, Andrew Ha, Georgios Hahalis, Joseph Hakas, Christian Hall, Bing Han, Seongwook Han, Joe Hargrove, David Hargroves, Kenneth B. Harris, Tetsuya Haruna, Emil Hayek, Jeff Healey, Steven Hearne, Michael Heffernan, Geir Heggelund, J.A. Heijmeriks, Maarten Hemels, I. Hendriks, Sam Henein, Sung-Ho Her, Paul Hermany, Jorge Eduardo Hernández Del Río, Yorihiko Higashino, Michael Hill, Tetsuo Hisadome, Eiji Hishida, Etienne Hoffer, Matthew Hoghton, Kui Hong, Suk keun Hong, Stevie Horbach, Masataka Horiuchi, Yinglong Hou, Jeff Hsing, Chi-Hung Huang, David Huckins, kathy Hughes, A. Huizinga, E.L. Hulsman, Kuo-Chun Hung, Gyo-Seung Hwang, Margaret Ikpoh, Davide Imberti, Hüseyin Ince, Ciro Indolfi, Shujiro Inoue, Didier Irles, Harukazu Iseki, C. Noah Israel, Bruce Iteld, Venkat Iyer, Ewart Jackson-Voyzey, Naseem Jaffrani, Frank Jäger, Martin James, Sung-Won Jang, Nicolas Jaramillo, Nabil Jarmukli, Robert J. Jeanfreau, Ronald D. Jenkins, Carlos Jerjes Sánchez, Javier Jimenez, Robert Jobe, Tomas Joen-Jakobsen, Nicholas Jones, Jose Carlos Moura Jorge, Bernard Jouve, Byung Chun Jung, Kyung Tae Jung, Werner Jung, Mikhail Kachkovskiy, Krystallenia Kafkala, Larisa Kalinina, Bernd Kallmünzer, Farzan Kamali, Takehiro Kamo, Priit Kampus, Hisham Kashou, Andreas Kastrup, Apostolos Katsivas, Elizabeth Kaufman, Kazuya Kawai, Kenji Kawajiri, John F. Kazmierski, P. Keeling, José Francisco Kerr Saraiva, Galina Ketova, AJIT Singh Khaira, Aleksey Khripun, Doo-Il Kim, Young Hoon Kim, Nam Ho Kim, Dae Kyeong Kim, Jeong Su Kim, June Soo Kim, Ki Seok Kim, Jin bae Kim, Elena Kinova, Alexander Klein, James J. Kmetzo, G. Larsen Kneller, Aleksandar Knezevic, Su Mei Angela Koh, Shunichi Koide, Anastasios Kollias, J.A. Kooistra, Jay Koons, Martin Koschutnik, William J. Kostis, Dragan Kovacic, Jacek Kowalczyk, Natalya Koziolova, Peter Kraft, Johannes A. Kragten, Mori Krantz, Lars Krause, B.J. Krenning, F. Krikke, Z. Kromhout, Waldemar Krysiak, Priya Kumar, Thomas Kümler, Malte Kuniss, Jen-Yuan Kuo, Achim Küppers, Karla Kurrelmeyer, Choong Hwan Kwak, Bénédicte Laboulle, Arthur Labovitz, Wen Ter Lai, Andy Lam, Yat Yin Lam, Fernando Lanas Zanetti, Charles Landau, Giancarlo Landini, Estêvão Lanna Figueiredo, Torben Larsen, Karine Lavandier, Jessica LeBlanc, Moon Hyoung Lee, Chang-Hoon Lee, John Lehman, Ana Leitão, Nicolas Lellouche, Malgorzata Lelonek, Radoslaw Lenarczyk, T. Lenderink, Salvador León González, Peter Leong-Sit, Matthias Leschke, Nicolas Ley, Zhanquan Li, Xiaodong Li, Weihua Li, Xiaoming Li, Christhoh Lichy, Ira Lieber, Ramon Horacio Limon Rodriguez, Hailong Lin, Feng Liu, Hengliang Liu, Guillermo Llamas Esperon, Nassip Llerena Navarro, Eric Lo, Sergiy Lokshyn, Amador López, José Luís López-Sendón, Adalberto Menezes Lorga Filho, Richard S. Lorraine, Carlos Alberto Luengas, Robert Luke, Ming Luo, Steven Lupovitch, Philippe Lyrer, Changsheng Ma, Genshan Ma, Irene Madariaga, Koji Maeno, Dominique Magnin, Gustavo Maid, Sumeet K. Mainigi, Konstantinos Makaritsis, Rohit Malhotra, Rickey Manning, Athanasios Manolis, Helard Andres Manrique Hurtado, Ioannis Mantas, Fernando Manzur Jattin, Vicky Maqueda, Niccolo Marchionni, Francisco Marin Ortuno, Antonio Martín Santana, Jorge Martinez, Petra Maskova, Norberto Matadamas Hernandez, Katsuhiro Matsuda, Tillmann Maurer, Ciro Mauro, Erik May, Nolan Mayer, John McClure, Terry McCormack, William McGarity, Hugh McIntyre, Brent McLaurin, Feliz Alvaro Medina Palomino, Francesco Melandri, Hiroshi Meno, Dhananjai Menzies, Marco Mercader, Christian Meyer, Beat j. Meyer, Jacek Miarka, Frank Mibach, Dominik Michalski, Patrik Michel, Rami Mihail Chreih, Ghiath Mikdadi, Milan Mikus, Davor Milicic, Constantin Militaru, Sedi Minaie, Bogdan Minescu, Iveta Mintale, Tristan Mirault, Michael J. Mirro, Dinesh Mistry, Nicoleta Violeta Miu, Naomasa Miyamoto, Tiziano Moccetti, Akber Mohammed, Azlisham Mohd Nor, Michael Mollerus, Giulio Molon, Sergio Mondillo, Patrícia Moniz, Lluis Mont, Vicente Montagud, Oscar Montaña, Cristina Monti, Luciano Moretti, Kiyoo Mori, Andrew Moriarty, Jacek Morka, Luigi Moschini, Nikitas Moschos, Andreas Mügge, Thomas J. Mulhearn, Carmen Muresan, Michela Muriago, Wlodzimierz Musial, Carl W. Musser, Francesco Musumeci, Thuraia Nageh, Hidemitsu Nakagawa, Yuichiro Nakamura, Toru Nakayama, Gi-Byoung Nam, Michele Nanna, Indira Natarajan, Hemal M. Nayak, Stefan Naydenov, Jurica Nazli, Alexandru Cristian Nechita, Libor Nechvatal, Sandra Adela Negron, James Neiman, Fernando Carvalho Neuenschwander, David Neves, Anna Neykova, Ricardo Nicolás Miguel, George Nijmeh, Alexey Nizov, Rodrigo Noronha Campos, Janko Nossan, Tatiana Novikova, Ewa Nowalany-Kozielska, Emmanuel Nsah, Juan Carlos Nunez Fragoso, Svetlana Nurgalieva, Dieter Nuyens, Ole Nyvad, Manuel Odin de Los Rios Ibarra, Philip O'Donnell, Martin O'Donnell, Seil Oh, Yong Seog Oh, Dongjin Oh, Gilles O'Hara, Kostas Oikonomou, Claudia Olivares, Richard Oliver, Rafael Olvera Ruiz, Christoforos Olympios, Anna omaszuk-Kazberuk, Joaquín Osca Asensi, eena Padayattil jose, Francisco Gerardo Padilla Padilla, Victoria Padilla Rios, Giuseppe Pajes, A. Shekhar Pandey, Gaetano Paparella, F. Paris, Hyung Wook Park, Jong Sung Park, Fragkiskos Parthenakis, Enrico Passamonti, Rajesh J. Patel, Jaydutt Patel, Mehool Patel, Janice Patrick, Ricardo Pavón Jimenez, Analía Paz, Vittorio Pengo, William Pentz, Beatriz Pérez, Alma Minerva Pérez Ríos, Alejandro Pérez-Cabezas, Richard Perlman, Viktor Persic, Francesco Perticone, Terri K. Peters, Sanjiv Petkar, Luis Felipe Pezo, Christian Pflücke, David N. Pham, Roland T. Phillips, Stephen Phlaum, Denis Pieters, Julien Pineau, Arnold Pinter, Fausto Pinto, R. Pisters, Nediljko Pivac, Darko Pocanic, Cristian Podoleanu, Alessandro Politano, Zdravka Poljakovic, Stewart Pollock, Jose Polo Garcéa, Holger Poppert, Maurizio Porcu, Antonio Pose Reino, Neeraj Prasad, Dalton Bertolim Précoma, Alessandro Prelle, John Prodafikas, Konstantin Protasov, Maurice Pye, Zhaohui Qiu, Jean-Michel Quedillac, Dimitar Raev, Carlos Antonio Raffo Grado, Sidiqullah Rahimi, Arturo Raisaro, Bhola Rama, Ricardo Ramos, Maria Ranieri, Nuno Raposo, Eric Rashba, Ursula Rauch-Kroehnert, Ramakota Reddy, Giulia Renda, Shabbir Reza, Luigi Ria, Dimitrios Richter, Hans Rickli, Werner Rieker, Tomas Ripolil Vera, Luiz Eduardo Ritt, Douglas Roberts, Ignacio Rodriguez Briones, Aldo Edwin Rodriguez Escudero, Carlos Rodríguez Pascual, Mark Roman, Francesco Romeo, E. Ronner, Jean-Francois Roux, Nadezda Rozkova, Miroslav Rubacek, Frank Rubalcava, Andrea M. Russo, Matthieu Pierre Rutgers, Karin Rybak, Samir Said, Tamotsu Sakamoto, Abraham Salacata, Adrien Salem, Rafael Salguero Bodes, Marco A. Saltzman, Alessandro Salvioni, Gregorio Sanchez Vallejo, Marcelo Sanmartín Fernández, Wladmir Faustino Saporito, Kesari Sarikonda, Taishi Sasaoka, Hamdi Sati, Irina Savelieva, Pierre-Jean Scala, Peter Schellinger, Carlos Scherr, Lisa Schmitz, Karl-Heinz Schmitz, Bettina Schmitz, Teresa Schnabel, Steffen Schnupp, Peter Schoeniger, Norbert Schön, Peter Schwimmbeck, Clare Seamark, Greg Searles, Karl-Heinz Seidl, Barry Seidman, Jaroslaw Sek, Lakshmanan Sekaran, Carlo SERRATI, Neerav Shah, Vinay Shah, Anil Shah, Shujahat Shah, Vijay Kumar Sharma, Louise Shaw, Khalid H. Sheikh, Naruhito Shimizu, Hideki Shimomura, Dong-Gu Shin, Eun-Seok Shin, Junya Shite, Gerolamo Sibilio, Frank Silver, Iveta Sime, Tim A. Simmers, Narendra Singh, Peter Siostrzonek, Didier Smadja, David W. Smith, Marcelo Snitman, Dario Sobral Filho, Hassan Soda, Carl Sofley, Adam Sokal, Yannie Soo Oi Yan, Rodolfo Sotolongo, Olga Ferreira de Souza, Jon Arne Sparby, Jindrich Spinar, David Sprigings, Alex C. Spyropoulos, Dimitrios Stakos, Clemens Steinwender, George Stergiou, Ian Stiell, Marcus Stoddard, Anastas Stoikov, Witold Streb, Ioannis Styliadis, Guohai Su, Xi Su, Wanda Sudnik, Kai Sukles, Xiaofei Sun, H. Swart, Janko Szavits-Nossan, Jens Taggeselle, Yuichiro Takagi, Amrit Pal Singh Takhar, Angelika Tamm, Katsumi Tanaka, Tanyanan Tanawuttiwat, Sherman Tang, Aylmer Tang, Giovanni Tarsi, Tiziana Tassinari, Ashis Tayal, Muzahir Tayebjee, J.M. ten Berg, Dan Tesloianu, Salem H.K. The, Dierk Thomas, Serge Timsit, Tetsuya Tobaru, Andrzej R. Tomasik, Mikhail Torosoff, Emmanuel Touze, Elina Trendafilova, W. Kevin Tsai, Hung Fat Tse, Hiroshi Tsutsui, Tian Ming Tu, Ype Tuininga, Minang Turakhia, Samir Turk, Wayne Tcurner, Arnljot Tveit, Richard Tytus, C. Valadão, P.F.M.M. van Bergen, Philippe van de Borne, B.J. van den Berg, C. van der Zwaan, M. Van Eck, Peter Vanacker, Dimo Vasilev, Vasileios Vasilikos, Maxim Vasilyev, Srikar Veerareddy, Mario Vega Miño, Asok Venkataraman, Paolo Verdecchia, Francesco Versaci, Ernst Günter Vester, Hubert Vial, Jason Victory, Alejandro Villamil, Marc Vincent, Anthony Vlastaris, Jürgen vom Dahl, Kishor Vora, Robert B. Vranian, Paul Wakefield, Ningfu Wang, Mingsheng Wang, Xinhua Wang, Feng Wang, Tian Wang, Alberta L. Warner, Kouki Watanabe, Jeanne Wei, Christian Weimar, Stanislav Weiner, Renate Weinrich, Ming-Shien Wen, Marcus Wiemer, Preben Wiggers, Andreas Wilke, David Williams, Marcus L. Williams, Bernhard Witzenbichler, Brian Wong, Ka Sing Lawrence Wong, Beata Wozakowska-Kaplon, Shulin Wu, Richard C. Wu, Silke Wunderlich, Nell Wyatt, John (Jack) Wylie, Yong Xu, Xiangdong Xu, Hiroki Yamanoue, Takeshi Yamashita, Ping Yen Bryan Yan, Tianlun Yang, Jing Yao, Kuo-Ho Yeh, Wei Hsian Yin, Yoto Yotov, Ralf Zahn, Stuart Zarich, Sergei Zenin, Elisabeth Louise Zeuthen, Huanyi Zhang, Donghui Zhang, Xingwei Zhang, Ping Zhang, Jun Zhang, Shui Ping Zhao, Yujie Zhao, Zhichen Zhao, Yang Zheng, Jing Zhou, Sergio Zimmermann, Andrea Zini, Steven Zizzo, Wenxia Zong, and L Steven Zukerman
- Subjects
SAMe-TT2R2 ,atrial fibrillation ,non-vitamin-K antagonist oral anticoagulants ,vitamin-K-antagonist oral anticoagulants ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Aim: The SAMe-TT2R2 score helps identify patients with atrial fibrillation (AF) likely to have poor anticoagulation control during anticoagulation with vitamin K antagonists (VKA) and those with scores >2 might be better managed with a target-specific oral anticoagulant (NOAC). We hypothesized that in clinical practice, VKAs may be prescribed less frequently to patients with AF and SAMe-TT2R2 scores >2 than to patients with lower scores. Methods and results: We analyzed the Phase III dataset of the Global Registry on Long-Term Oral Antithrombotic Treatment in Patients with Atrial Fibrillation (GLORIA-AF), a large, global, prospective global registry of patients with newly diagnosed AF and ≥1 stroke risk factor. We compared baseline clinical characteristics and antithrombotic prescriptions to determine the probability of the VKA prescription among anticoagulated patients with the baseline SAMe-TT2R2 score >2 and ≤ 2. Among 17,465 anticoagulated patients with AF, 4,828 (27.6%) patients were prescribed VKA and 12,637 (72.4%) patients an NOAC: 11,884 (68.0%) patients had SAMe-TT2R2 scores 0-2 and 5,581 (32.0%) patients had scores >2. The proportion of patients prescribed VKA was 28.0% among patients with SAMe-TT2R2 scores >2 and 27.5% in those with scores ≤2. Conclusions: The lack of a clear association between the SAMe-TT2R2 score and anticoagulant selection may be attributed to the relative efficacy and safety profiles between NOACs and VKAs as well as to the absence of trial evidence that an SAMe-TT2R2-guided strategy for the selection of the type of anticoagulation in NVAF patients has an impact on clinical outcomes of efficacy and safety. The latter hypothesis is currently being tested in a randomized controlled trial. Clinical trial registration: URL: https://www.clinicaltrials.gov//Unique identifier: NCT01937377, NCT01468701, and NCT01671007.
- Published
- 2021
- Full Text
- View/download PDF
21. Study protocol for IMAGE: implementing multidisciplinary assessments for geriatric patients in an emergency department observation unit, a hybrid effectiveness/implementation study using the Consolidated Framework for Implementation Research
- Author
-
Lauren T. Southerland, Julie A. Stephens, Christopher R. Carpenter, Lorraine C. Mion, Susan D. Moffatt-Bruce, Angela Zachman, Michael Hill, and Jeffrey M. Caterino
- Subjects
Emergency department ,Multidisciplinary ,Geriatrics ,CFIR ,Lean six sigma ,Observation unit ,Medicine (General) ,R5-920 - Abstract
Abstract Background Older adults in the emergency department (ED) are at high risk for functional decline, unrecognized delirium, falls, and medication interactions. Holistic assessment by a multidisciplinary team in the ED decreases these adverse outcomes and decreases admissions, but there are many barriers to incorporating this type of care during the ED visit. Methods This is a hybrid type II effectiveness-implementation study using a pre-/post-cohort design (n = 380) at a tertiary care academic ED with an ED observation unit (Obs Unit). The intervention is a two-step protocol of (step 1) ED nurses screening adult patients ≥ 65 years old for geriatric needs using the Delirium Triage Screen, 4-Stage Balance Test, and the Identifying Seniors at Risk score. Patients who have geriatric needs identified by this screening but who do not meet hospital admission criteria will (step 2) be placed in the Obs Unit for multidisciplinary geriatric assessment by the hospital’s geriatric consultation team, physical therapists, occupational therapists, pharmacists, and/or case managers. Not all patients may require all elements of the multidisciplinary geriatric assessment. The Consolidated Framework for Implementation Research: Care Transitions Framework was used to identify barriers to implementation. Lean Six Sigma processes will be used to overcome these identified barriers with the goal of achieving geriatric screening rates of > 80%. Implementation success and associated factors will be reported. For the effectiveness aim, pre-/post-cohorts of adults ≥ 65 years old cared for in the Obs Unit will be followed for 90 days post-ED visit (n = 150 pre and 230 post). The primary outcome is the prevention of functional decline. Secondary outcomes include health-related quality of life, new geriatric syndromes identified, new services provided, and Obs Unit metrics such as length of stay and admission rates. Discussion A protocol for implementing integrated multidisciplinary geriatric assessment into the ED setting has the potential to improve patient functional status by identifying and addressing geriatric issues and needs prior to discharge from the ED. Using validated frameworks and implementation strategies will increase our understanding of how to improve the quality of ED care for older adults in the acute care setting. Trial registration ClinicalTrials.gov Identifier, NCT04068311 , registered 28 August 2019
- Published
- 2020
- Full Text
- View/download PDF
22. Dengue Management in Triage using Ultrasound in children from Cambodia: a prospective cohort study
- Author
-
Timothy Gleeson, Yos Pagnarith, Eang Habsreng, Robert Lindsay, Michael Hill, Alexandra Sanseverino, Viral Patel, and Romolo Gaspari
- Subjects
Dengue ,Ultrasound ,Pediatrics ,Point-of-care ultrasound ,Asia ,Cambodia ,Public aspects of medicine ,RA1-1270 - Abstract
Summary: Background: Dengue is a mosquito-borne viral infection with increasing global prevalence. It is endemic in more than 100 countries, with a heavy burden in Asia. Ultrasound findings including gallbladder wall thickening, ascites, and pleural effusions secondary to plasma leakage have been described in dengue. We aimed to determine if the presence of point-of-care ultrasound findings early in suspected dengue could predict clinical worsening in ambulatory pediatric patients. Methods: We did a prospective, single-blinded, observational cohort study at a children's hospital in Siem Reap, Cambodia during periods of dengue outbreak. Ambulatory patients were screened and children ages > 3 month and ≤ 16 years with suspected acute, non-severe dengue were enrolled. Subjects had chest and abdominal ultrasound exams. Independently, subjects were evaluated by a blinded physician who determined a treatment plan as per usual practice. Follow-up was conducted 7-10 days after the initial visit. Analysis of ultrasound findings was performed to determine their relationship with outcome measures including need for unplanned hospital visits or admissions. Findings: A total of 2,186 children were screened during periods of national dengue outbreak in Cambodia in consecutive years 2018-2019, and 253 children met eligibility criteria. Results showed patients with gallbladder wall thickening (> 3·0 mm) who were discharged had a significantly more likely need for unplanned visit or hospitalization than those with normal gallbladder wall, 67% (95% CI 44 – 84) versus 17% (95% CI 12 – 24), p < 0.0001. Subjects with any abnormal ultrasound finding were more likely to be directly admitted versus discharged upon initial presentation, 62·2% (95% CI 46.1 – 76.0) versus 19.5% (95% CI 14.8 – 25.4), p < 0.0001. Interpretation: Point-of-care ultrasound findings, particularly gallbladder wall thickening, in suspected early dengue can help predict disease progression in ambulatory patients. Ultrasound has potential to help guide management of suspected dengue patients and resource management during periods of dengue outbreak. Funding: Society for Academic Emergency Medicine Foundation.
- Published
- 2022
- Full Text
- View/download PDF
23. The jury is out: a new approach to awarding science prizes [version 1; peer review: 1 approved, 1 approved with reservations]
- Author
-
Michael Hill
- Subjects
Opinion Article ,Articles ,Research Evaluation ,Prize ,Award ,Review ,Impact ,Metrics - Abstract
Research evaluation is often understood as something similar to a competition, where an evaluation panel’s task is to award the most excellent researchers. This interpretation is challenging, in as far as excellence it is at best a multi-dimensional concept and at worst an ill-defined term because it assumes that there exists some ground truth as to who the very best researchers are and all that an evaluation panel needs to do is uncover this ground truth. Therefore, instead of focusing on competition, the Swiss National Science Foundation focused on active decision-making and sought inspiration in the deliberation proceedings of a jury trial for the design of a new evaluation procedure of an academic award. The new evaluation procedure is based upon fully anonymised documents consisting of three independent parts (achievements, impact and prominence). Before the actual evaluation meeting, the panel, which includes non-academic experts, pre-evaluates all nominations through a pseudo-randomly structured network, such that every nomination is reviewed by six members of the panel only. Evaluation decisions are based upon anonymous votes, structured discussions in the panel, ranking as opposed to rating of nominees and data-rich figures providing an overview of the positioning of the nominee along various dimensions and the ranking provided by the individual panel members. The proceedings are overseen by an academic chair, focusing on content, and a procedural chair, focusing on the process and compliance. Combined, these elements form a highly-structure deliberation procedure, consisting of individual steps, through which nominations proceed and which each either feed into the next step or into the final verdict. The proposed evaluation process has been successfully applied in the real world in the evaluation of the Swiss Science Prize Marcel Benoist, Switzerland’s most prestigious academic award.
- Published
- 2021
- Full Text
- View/download PDF
24. Meet the experts.
- Author
-
Evans, Sarah Jane, Smith, Michael Hill, Jefford, Andrew, Sayburn, Ronan, and Willard, Beth
- Subjects
FORTIFIED wines ,ORGANIC wines ,CALIFORNIA wines ,ITALIAN wines ,SPANISH wines ,MERCHANTS ,LECTURERS - Abstract
This document provides a list of regional chairs and judges for the Decanter World Wine Awards (DWWA). The regional chairs and judges are experts in their respective fields and have extensive knowledge and experience in the wine industry. They come from diverse backgrounds and have expertise in various regions, including Portugal, Provence, Rhône, Sherry, South Africa, Southern Italy, South & Eastern Mediterranean, Switzerland, Tuscany, UK, USA & Central America, and Veneto. The DWWA is a prestigious wine competition that recognizes excellence in the wine industry. [Extracted from the article]
- Published
- 2024
25. Metagenomic assembly through the lens of validation: recent advances in assessing and improving the quality of genomes assembled from metagenomes.
- Author
-
Nathan D. Olson, Todd J. Treangen, Christopher Michael Hill, Victoria Cepeda-Espinoza, Jay Ghurye, Sergey Koren, and Mihai Pop
- Published
- 2019
- Full Text
- View/download PDF
26. Maternal and perinatal Health Research Collaboration, India (MaatHRI): methodology for establishing a hospital-based research platform in a low and middle income country setting [version 3; peer review: 2 approved]
- Author
-
Manisha Nair, Babul Bezbaruah, Amrit Krishna Bora, Krishnaram Bora, Shakuntala Chhabra, Saswati S. Choudhury, Arup Choudhury, Dipika Deka, Gitanjali Deka, Vijay Anand Ismavel, Swapna D. Kakoty, Roshine M. Koshy, Pramod Kumar, Pranabika Mahanta, Robin Medhi, Pranoy Nath, Anjali Rani, Indrani Roy, Usha Sarma, Carolin Solomi V, Ratna Kanta Talukdar, Farzana Zahir, Michael Hill, Nimmi Kansal, Reena Nakra, Colin Baigent, Marian Knight, and Jenny J. Kurinczuk
- Subjects
Method Article ,Articles ,Research platform ,research model ,epidemiology ,low-and-middle income country ,India ,maternal health ,perinatal health - Abstract
Background: Maternal and perinatal Health Research collaboration, India (MaatHRI) is a research platform that aims to improve evidence-based pregnancy care and outcomes for mothers and babies in India, a country with the second highest burden of maternal and perinatal deaths. The objective of this paper is to describe the methods used to establish and standardise the platform and the results of the process. Methods: MaatHRI is a hospital-based collaborative research platform. It is adapted from the UK Obstetric Surveillance System (UKOSS) and built on a pilot model (IndOSS-Assam), which has been extensively standardised using the following methods: (i) establishing a network of hospitals; (ii) setting up a secure system for data collection, storage and transfer; (iii) developing a standardised laboratory infrastructure; and (iv) developing and implementing regulatory systems. Results: MaatHRI was established in September 2018. Fourteen hospitals participate across four states in India – Assam, Meghalaya, Uttar Pradesh and Maharashtra. The research team includes 20 nurses, a project manager, 16 obstetricians, two pathologists, a public health specialist, a general physician and a paediatrician. MaatHRI has advanced standardisation of data and laboratory parameters, real-time monitoring of data and participant safety, and secure transfer of data. Four observational epidemiological studies are presently being undertaken through the platform. MaatHRI has enabled bi-directional capacity building. It is overseen by a steering committee and a data safety and monitoring board, a process that is not normally used, but was found to be highly effective in ensuring data safety and equitable partnerships in the context of low and middle income countries (LMICs). Conclusion: MaatHRI is the first prototype of UKOSS and other similar platforms in a LMIC setting. The model is built on existing methods but applies new standardisation processes to develop a collaborative research platform that can be replicated in other LMICs.
- Published
- 2021
- Full Text
- View/download PDF
27. Echocardiographic pre-pause imaging and identifying the acoustic window during CPR reduces CPR pause time during ACLS – A prospective Cohort Study
- Author
-
Romolo Gaspari, Justin Harvey, Christopher DiCroce, Ari Nalbandian, Michael Hill, Robert Lindsay, Alexandra Nordberg, Powell Graham, Andrew Kamilaris, and Timothy Gleeson
- Subjects
Cardiac arrest ,Echocardiography ,Research methodology ,Ultrasound image quality ,Specialties of internal medicine ,RC581-951 - Abstract
Objectives: Pre-pause imaging during cardiopulmonary resuscitation (CPR) involves the acquisition of poor-quality, brief images immediately prior to stopping CPR to allow shorter, better-quality images during the pause. We hypothesize that pre-pause imaging is associated with a decrease in CPR pause length and shorter image acquisition time. Methods: Prospective, interventional cohort study enrolling out-of-hospital (OOH) cardiac arrest patients. Pre-pause imaging involves pre-localizing of the approximate sonographic window during CPR to support subsequent fine tuning when CPR pauses. Physicians were educated on pre-pause imaging and data was recorded prior- and post- introduction of pre-pause imaging into American cardiac life support (ACLS). Timing of CPR pauses and identification of interventions and events during pause were recorded (e.g., intubation, defibrillation, multiple cardiac ultrasounds). Ultrasound (US) images were reviewed for image quality using a 5-point scale. Primary outcome was length of CPR pause with and without pre-pause imaging. Secondary outcome included US length. Results: One hundred and forty five subjects presenting after OOH cardiac arrest were enrolled over 13 months, 70 during the baseline period prior to pre-pause imaging and 75 after pre-pause imaging was integrated into ACLS. Pre-pause imaging decreased CPR pause length from 28.3 s (95%CI 25.1–31.5) to 12.8 s (95%CI 11.9–13.7). US image acquisition time decreased with pre-pause imaging from 20.4 (95%CI 18.0–22.7) to 11.0 s (95%CI 10.1–11.8). US image quality was unchanged despite the decrease in image acquisition time. (3.0 (95%CI 2.8–3.2) vs 2.7 (95%CI 2.5–2.9)). Multivariate modeling showed that ultrasound did not prolong CPR pause length. Conclusion: Pre-pause imaging was associated with significant decrease in CPR pause length and US image acquisition time. Pre-pause imaging should be encouraged for any clinicians who use ultrasound during ACLS.
- Published
- 2021
- Full Text
- View/download PDF
28. COVID-19 and Community College Instructional Responses
- Author
-
Cassandra M.D. Hart, Di Xu, Michael Hill, and Emily Alonso
- Subjects
Online education ,distance education ,emergency remote instruction ,distance learning resources ,COVID-19 ,community colleges ,Theory and practice of education ,LB5-3640 - Abstract
Like all educational institutions, community colleges rapidly shifted to online instruction in the wake of the COVID-19 pandemic. However, little is known about what factors shaped individual college responses. This survey of distance education leaders (N = 45) in the California community colleges system aimed to: a) characterize pre-COVID distance education resources, emergency responses to the pandemic, and readiness for online instruction in the fall, and b) determine how pre-COVID distance education resources, emergency responses, and fall readiness relate to each other. We find wide variability in pre-COVID distance education resources. These pre-existing resources were related to institutions’ responses: Colleges with fewer pre-COVID resources focused on foundational efforts such as creating online student services, while institutions with greater pre-COVID resources offered somewhat broader responses to training students and faculty in skills to successfully transition online. Finally, although colleges improved their readiness for continued remote instruction in the fall term in terms of training faculty and providing students with technology to access classes, respondents estimated that roughly a third of students would still face barriers accessing remote classes.
- Published
- 2021
- Full Text
- View/download PDF
29. Approaches to minimising the epidemiological impact of sources of systematic and random variation that may affect biochemistry assay data in UK Biobank [version 2; peer review: 2 approved]
- Author
-
Naomi E. Allen, Matthew Arnold, Sarah Parish, Michael Hill, Simon Sheard, Howard Callen, Daniel Fry, Stewart Moffat, Mark Gordon, Samantha Welsh, Paul Elliott, and Rory Collins
- Subjects
Medicine ,Science - Abstract
Background: UK Biobank is a large prospective study that recruited 500,000 participants aged 40 to 69 years, between 2006-2010.The study has collected (and continues to collect) extensive phenotypic and genomic data about its participants. In order to enhance further the value of the UK Biobank resource, a wide range of biochemistry markers were measured in all participants with an available biological sample. Here, we describe the approaches UK Biobank has taken to minimise error related to sample collection, processing, retrieval and assay measurement. Methods: During routine quality control checks, the laboratory team observed that some assay results were lower than expected for samples acquired during certain time periods. Analyses were undertaken to identify and correct for the unexpected dilution identified during sample processing, and for expected error caused by laboratory drift of assay results. Results: The vast majority (92%) of biochemistry serum assay results were assessed to be not materially affected by dilution, with an estimated difference in concentration of less than 1% (i.e. either lower or higher) than that expected if the sample were unaffected; 8.3% were estimated to be diluted by up to 10%; very few samples appeared to be diluted more than this. Biomarkers measured in urine (creatinine, microalbumin, sodium, potassium) and red blood cells (HbA1c) were not affected. In order to correct for laboratory variation over the assay period, all assay results were adjusted for date of assay, with the exception of those that had a high biological coefficient of variation or evident seasonal variability: vitamin D, lipoprotein (a), gamma glutamyltransferase, C-reactive protein and rheumatoid factor. Conclusions: Rigorous approaches related to sample collection, processing, retrieval, assay measurement and data analysis have been taken to mitigate the impact of both systematic and random variation in epidemiological analyses that use the biochemistry assay data in UK Biobank.
- Published
- 2021
- Full Text
- View/download PDF
30. Maternal and perinatal Health Research Collaboration, India (MaatHRI): methodology for establishing a hospital-based research platform in a low and middle income country setting [version 2; peer review: 2 approved]
- Author
-
Manisha Nair, Babul Bezbaruah, Amrit Krishna Bora, Krishnaram Bora, Shakuntala Chhabra, Saswati S. Choudhury, Arup Choudhury, Dipika Deka, Gitanjali Deka, Vijay Anand Ismavel, Swapna D. Kakoty, Roshine M. Koshy, Pramod Kumar, Pranabika Mahanta, Robin Medhi, Pranoy Nath, Anjali Rani, Indrani Roy, Usha Sarma, Carolin Solomi V, Ratna Kanta Talukdar, Farzana Zahir, Michael Hill, Nimmi Kansal, Reena Nakra, Colin Baigent, Marian Knight, and Jenny J. Kurinczuk
- Subjects
Method Article ,Articles ,Research platform ,research model ,epidemiology ,low-and-middle income country ,India ,maternal health ,perinatal health - Abstract
Background: Maternal and perinatal Health Research collaboration, India (MaatHRI) is a research platform that aims to improve evidence-based pregnancy care and outcomes for mothers and babies in India, a country with the second highest burden of maternal and perinatal deaths. The objective of this paper is to describe the methods used to establish and standardise the platform and the results of the process. Methods: MaatHRI is a hospital-based collaborative research platform. It is adapted from the UK Obstetric Surveillance System (UKOSS) and built on a pilot model (IndOSS-Assam), which has been extensively standardised using the following methods: (i) establishing a network of hospitals; (ii) setting up a secure system for data collection, storage and transfer; (iii) developing a standardised laboratory infrastructure; and (iv) developing and implementing regulatory systems. Results: MaatHRI was established in September 2018. Fourteen hospitals participate across four states in India – Assam, Meghalaya, Uttar Pradesh and Maharashtra. The research team includes 20 nurses, a project manager, 16 obstetricians, two pathologists, a public health specialist, a general physician and a paediatrician. MaatHRI has advanced standardisation of data and laboratory parameters, real-time monitoring of data and participant safety, and secure transfer of data. Four observational epidemiological studies are presently being undertaken through the platform. MaatHRI has enabled bi-directional capacity building. It is overseen by a steering committee and a data safety and monitoring board, a process that is not normally used, but was found to be highly effective in ensuring data safety and equitable partnerships in the context of low and middle income countries (LMICs). Conclusion: MaatHRI is the first prototype of UKOSS and other similar platforms in a LMIC setting. The model is built on existing methods but applies new standardisation processes to develop a collaborative research platform that can be replicated in other LMICs.
- Published
- 2020
- Full Text
- View/download PDF
31. Maternal and perinatal Health Research Collaboration, India (MaatHRI): methodology for establishing a hospital-based research platform in a low and middle income country setting [version 1; peer review: 1 approved with reservations]
- Author
-
Manisha Nair, Babul Bezbaruah, Amrit Krishna Bora, Krishnaram Bora, Shakuntala Chhabra, Saswati S. Choudhury, Arup Choudhury, Dipika Deka, Gitanjali Deka, Vijay Anand Ismavel, Swapna D. Kakoty, Roshine M. Koshy, Pramod Kumar, Pranabika Mahanta, Robin Medhi, Pranoy Nath, Anjali Rani, Indrani Roy, Usha Sarma, Carolin Solomi V, Ratna Kanta Talukdar, Farzana Zahir, Michael Hill, Nimmi Kansal, Reena Nakra, Colin Baigent, Marian Knight, and Jenny J. Kurinczuk
- Subjects
Method Article ,Articles ,Research platform ,research model ,epidemiology ,low-and-middle income country ,India ,maternal health ,perinatal health - Abstract
Background: Maternal and perinatal Health Research collaboration, India (MaatHRI) is a research platform that aims to improve evidence-based pregnancy care and outcomes for mothers and babies in India, a country with the second highest burden of maternal and perinatal deaths. The objective of this paper is to describe the methods used to establish and standardise the platform and the results of the process. Methods: MaatHRI is a hospital-based collaborative research platform. It is adapted from the UK Obstetric Surveillance System (UKOSS) and built on a pilot model (IndOSS-Assam), which has been extensively standardised using the following methods: (i) establishing a network of hospitals; (ii) setting up a secure system for data collection, storage and transfer; (iii) developing a standardised laboratory infrastructure; and (iv) developing and implementing regulatory systems. Results: MaatHRI was established in September 2018. Fourteen hospitals participate across four states in India – Assam, Meghalaya, Uttar Pradesh and Maharashtra. The research team includes 20 nurses, a project manager, 16 obstetricians, two pathologists, a public health specialist, a general physician and a paediatrician. MaatHRI has advanced standardisation of data and laboratory parameters, real-time monitoring of data and participant safety, and secure transfer of data. Four observational epidemiological studies are presently being undertaken through the platform. MaatHRI has enabled bi-directional capacity building. It is overseen by a steering committee and a data safety and monitoring board, a process that is not normally used, but was found to be highly effective in ensuring data safety and equitable partnerships in the context of low and middle income countries (LMICs). Conclusion: MaatHRI is the first prototype of UKOSS and other similar platforms in a LMIC setting. The model is built on existing methods but applies new standardisation processes to develop a collaborative research platform that can be replicated in other LMICs.
- Published
- 2020
- Full Text
- View/download PDF
32. Acute and Interventional Treatments
- Author
-
Joseph Broderick, Thanh Nguyen, Bruce Campbell, and Michael Hill
- Subjects
Advanced and Specialized Nursing ,Neurology (clinical) ,Cardiology and Cardiovascular Medicine - Published
- 2023
- Full Text
- View/download PDF
33. Characterization of human papillomavirus (HPV) 16 E6 seropositive individuals without HPV-associated malignancies after 10 years of follow-up in the UK Biobank
- Author
-
Nicole Brenner, Alexander J. Mentzer, Michael Hill, Rachael Almond, Naomi Allen, Michael Pawlita, and Tim Waterboer
- Subjects
HPV16 E6 antibodies ,Serology ,UK Biobank ,Sexual behaviour ,Secondary prevention of oropharyngeal cancer ,Medicine ,Medicine (General) ,R5-920 - Abstract
Background: Antibodies against the HPV16 oncoprotein E6 are promising biomarkers for HPV16-driven oropharyngeal cancer (HPV16-OPC) due to their high sensitivity and specificity, and prospective manifestation. In previous studies, 0•7% of controls without HPV-associated malignancies were HPV16 E6 seropositive of which only a minority is expected to develop HPV16-driven cancer. We aimed to characterise HPV16 E6 antibodies in individuals without HPV-associated malignancies. Methods: We analysed serum antibodies against HPV16 E6, E7, L1 and HPV18 L1 in a random sample (n = 9,695) of the prospective UK Biobank cohort (UKB). Excluding individuals with potentially HPV-associated malignancies (n = 192), we assessed risk factors for seropositivity by logistic regression. Findings: In individuals without potentially HPV-associated malignancies (n = 9,503), the HPV16 E6 seroprevalence was 0•8%. Seropositivity against HPV16 E6 and all other HPV antigens was strongly associated with sexual behaviour. The seroprevalence of HPV16 E6, L1 and HPV18 L1 increased with the number of lifetime sex partners (ptrend
- Published
- 2020
- Full Text
- View/download PDF
34. Approaches to minimising the epidemiological impact of sources of systematic and random variation that may affect biochemistry assay data in UK Biobank [version 1; peer review: 2 approved]
- Author
-
Naomi E. Allen, Matthew Arnold, Sarah Parish, Michael Hill, Simon Sheard, Howard Callen, Daniel Fry, Stewart Moffat, Mark Gordon, Samantha Welsh, Paul Elliott, and Rory Collins
- Subjects
Medicine ,Science - Abstract
Background: UK Biobank is a large prospective study that recruited 500,000 participants aged 40 to 69 years, between 2006-2010.The study has collected (and continues to collect) extensive phenotypic and genomic data about its participants. In order to enhance further the value of the UK Biobank resource, a wide range of biochemistry markers were measured in all participants with an available biological sample. Here, we describe the approaches UK Biobank has taken to minimise error related to sample collection, processing, retrieval and assay measurement. Methods: During routine quality control checks, the laboratory team observed that some assay results were lower than expected for samples acquired during certain time periods. Analyses were undertaken to identify and correct for the unexpected dilution identified during sample processing, and for expected error caused by laboratory drift of assay results. Results: The vast majority (92%) of biochemistry serum assay results were assessed to be not materially affected by dilution, with an estimated difference in concentration of less than 1% (i.e. either lower or higher) than that expected if the sample were unaffected; 8.3% were estimated to be diluted by up to 10%; very few samples appeared to be diluted more than this. Biomarkers measured in urine (creatinine, microalbumin, sodium, potassium) and red blood cells (HbA1c) were not affected. In order to correct for laboratory variation over the assay period, all assay results were adjusted for date of assay, with the exception of those that had a high biological coefficient of variation or evident seasonal variability: vitamin D, lipoprotein (a), gamma glutamyltransferase, C-reactive protein and rheumatoid factor. Conclusions: Rigorous approaches related to sample collection, processing, retrieval, assay measurement and data analysis have been taken to mitigate the impact of both systematic and random variation in epidemiological analyses that use the biochemistry assay data in UK Biobank.
- Published
- 2020
- Full Text
- View/download PDF
35. Meta-analysis of interventions to reduce door to needle times in acute ischaemic stroke patients
- Author
-
Michael Hill, Eddy Lang, Heather Ganshorn, Michael Siarkowski, Katie Lin, Shari S Li, Abdulaziz Al Sultan, and Noreen Kamal
- Subjects
Medicine (General) ,R5-920 - Abstract
Background Door-to-needle time (DTN) has an important impact on thrombolysis and reperfusion outcomes in the treatment of acute ischaemic stroke. This systematic review is a critical synthesis of studies evaluating DTN reduction strategies.Method Ovid MEDLINE, PubMed, Cochrane Database of Systematic Reviews, CINAHL, ProQuest dissertations and LILACS were used as bibliographic databases for primary literature. CIHI, Health Quality Council of Alberta, Health Quality Ontario and websites of heart and stroke associations in Canada, USA, UK, Australia and New Zealand were used as sources of grey literature. Searched reports were screened by title and abstract, and full texts were located for review. Articles quality was evaluated using National Institute of Health’s Study Quality Assessment tools. Methods for improving DTN were categorised under 13 DTN reduction strategies, primarily adapted from the Target: Stroke Phase II recommendations, and including two additional categories: Strategies not encompassed by any Target: Stroke recommendation, and Combinations of Interventions.Results 96 studies (4 randomised control trials, 1 review, 91 observational pre/post studies) were included in the review. All strategies and interventions resulted in a reduction of DTN. Approaches using combinations of interventions were the most effective at reducing DTN (33.77% DTN reduction, standard mean difference=1.857, 95% CI=1.510–2.205), and were more effective than approaches using only a single strategy (p=0.040). DTN reduction was associated with the duration of the DTN reduction programme at each facility (p=0.006).Interpretation The greatest reductions in DTN were observed when implementing combinations of DTN reduction strategies, although there was no significant advantage to implementing more than two strategies simultaneously.PROSPERO registration number 42016036215.
- Published
- 2020
- Full Text
- View/download PDF
36. High-dose oral vitamin D supplementation and mortality in people aged 65–84 years: the VIDAL cluster feasibility RCT of open versus double-blind individual randomisation
- Author
-
Christine Rake, Clare Gilham, Laurette Bukasa, Richard Ostler, Michelle Newton, James Peto Wild, Benoit Aigret, Michael Hill, Oliver Gillie, Irwin Nazareth, Peter Sasieni, Adrian Martineau, and Julian Peto
- Subjects
vitamin d ,gp practice ,feasibility ,cluster randomisation ,randomised trial ,Medical technology ,R855-855.5 - Abstract
Background: Randomised controlled trials demonstrating improved longevity are needed to justify high-dose vitamin D supplementation for older populations. Objectives: To demonstrate the feasibility of a large trial (n ≈ 20,000) of high-dose vitamin D in people aged 65–84 years through general practitioner (GP) practices, and to cluster randomise participating practices between open-label and double-blind randomisation to compare effects on recruitment, compliance and contamination. Design: Twenty GP practices were randomised in matched pairs between open-label and double-blind allocation. Within each practice, patients were individually randomised to vitamin D or control (i.e. no treatment or placebo). Participants were invited to attend their GP practice to provide a blood sample and complete a lifestyle questionnaire at recruitment and again at 2 years. Randomisation by telephone followed receipt of a serum corrected calcium assay confirming eligibility ( 400 IU vitamin D per day at 2 years was 5.0% in open practices and 4.8% in double-blind practices. Mean serum 25(OH)D concentration was 51.5 nmol/l [95% confidence interval (CI) 50.2 to 52.8 nmol/l] with 82.6% of participants
- Published
- 2020
- Full Text
- View/download PDF
37. Genomic Response to Vitamin D Supplementation in the Setting of a Randomized, Placebo-Controlled Trial
- Author
-
Antonio J. Berlanga-Taylor, Katharine Plant, Andrew Dahl, Evelyn Lau, Michael Hill, David Sims, Andreas Heger, Jonathan Emberson, Jane Armitage, Robert Clarke, and Julian C. Knight
- Subjects
Medicine ,Medicine (General) ,R5-920 - Abstract
Background: Vitamin D deficiency has been associated with multiple diseases, but the causal relevance and underlying processes are not fully understood. Elucidating the mechanisms of action of drug treatments in humans is challenging, but application of functional genomic approaches in randomized trials may afford an opportunity to systematically assess molecular responses. Methods: In the Biochemical Efficacy and Safety Trial of Vitamin D (BEST-D), a double-blind, placebo-controlled, dose-finding, randomized clinical trial, 305 community-dwelling individuals aged over 65 years were randomly allocated to treatment with vitamin D3 4000 IU, 2000 IU or placebo daily for 12 months. Genome-wide genotypes at baseline, and transcriptome and plasma levels of cytokines (IFN-γ, IL-10, IL-8, IL-6 and TNF-α) at baseline and after 12 months, were measured. The trial had >90% power to detect 1.2-fold changes in gene expression. Findings: Allocation to vitamin D for 12-months was associated with 2-fold higher plasma levels of 25-hydroxy-vitamin D (25[OH]D, 4000 IU regimen), but had no significant effect on whole-blood gene expression (FDR
- Published
- 2018
- Full Text
- View/download PDF
38. Empagliflozin in Patients with Chronic Kidney Disease
- Author
-
Herrington, William G, Staplin, Natalie, Wanner, Christoph, Green, Jennifer B, Hauske, Sibylle J, Emberson, Jonathan R, Preiss, David, Judge, Parminder, Mayne, Kaitlin J, Ng, Sarah Y A, Sammons, Emily, Zhu, Doreen, Hill, Michael, Stevens, Will, Wallendszus, Karl, Brenner, Susanne, Cheung, Alfred K, Liu, Zhi-Hong, Li, Jing, Hooi, Lai Seong, Liu, Wen, Kadowaki, Takashi, Nangaku, Masaomi, Levin, Adeera, Cherney, David, Maggioni, Aldo P, Pontremoli, Roberto, Deo, Rajat, Goto, Shinya, Rossello, Xavier, Tuttle, Katherine R, Steubl, Dominik, Petrini, Michaela, Massey, Dan, Eilbracht, Jens, Brueckmann, Martina, Landray, Martin J, Baigent, Colin, Haynes, Richard, The EMPA-KIDNEY Collaborative Group: Colin Baigent, Martin J Landray, Christoph Wanner, William G Herrington, Richard Haynes, Jennifer B Green, Sibylle J Hauske, Martina Brueckmann, Mark Hopley, Maximillian von-Eynatten, Jyothis George, Susanne Brenner, Alfred K Cheung, David Preiss, Zhi-Hong Liu, Jing Li, Laiseong Hooi, Wen Liu, Takashi Kadowaki, Masaomi Nangaku, Adeera Levin, David Cherney, Roberto Pontremoli, Aldo P Maggioni, Natalie Staplin, Jonathan Emberson, Stefan Hantel, Shinya Goto, Rajat Deo, Katherine R Tuttle, Michael Hill, Parminder Judge, Kaitlin J Mayne, Sarah Y A Ng, Xavier Rossello, Emily Sammons, Doreen Zhu, Peter Sandercock, Rudolf Bilous, Charles Herzog, Paul Whelton, Janet Wittes, Derrick Bennett, Patricia Achiri, Chrissie Ambrose, Cristina Badin, Jill Barton, Richard Brown, Andy Burke, Sebastian Butler, Rejive Dayanandan, Pia Donaldson, Robert Dykas, Lucy Fletcher, Kate Frederick, Hannah Kingston, Mo Gray, Emily Harding, Akiko Hashimoto, Lyn Howie, Susan Hurley, Ryonfa Lee, Nik Luker, Kevin Murphy, Mariko Nakahara, John Nolan, Michelle Nunn, Sorcha Mulligan, Akiko Omata, Sandra Pickworth, YanRu Qiao, Shraddha Shah, Karen Taylor, Alison Timadjer, Monique Willett, Liz Wincott, Qin Yan, Hui Yu, Louise Bowman, Fang Chen, Robert Clarke, Michelle Goonasekera, Waseem Karsan, Marion Mafham, Christina Reith, Mohammed Zayed, Ritva Ellison, Rowan Moys, Will Stevens, Kevin Verdel, Karl Wallendszus, Chris Bowler, Anna Brewer, Andy Measor, Guanguo Cui, Charles Daniels, Angela Field, Bob Goodenough, Ashley Lawson, Youcef Mostefai, Dheeptha Radhakrishnan, Samee Syed, Shuang Xia, Ruth Adewuyi-Dalton, Thomas Arnold, Anne-Marie Beneat, Anoushka Bhatt, Chloe Bird, Andrew Breach, Laura Brown, Mark Caple, Tatyana Chavagnon, Karen Chung, Sarah Clark, Luminita Condurache, Katarzyna Eichstadt, Marta Espino Obrero, Scarlett Forest, Helen French, Nick Goodwin, Andrew Gordon, Joanne Gordon, Cat Guest, Tina Harding, Michal Hozak, Matthew Lacey, David MacLean, Louise Messinger, Stewart Moffat, Martin Radley, Claire Shenton, Sarah Tipper, Jon Tyler, Lesley Weaving, James Wheeler, Elissa Williams, Tim Williams, Hamish Woodhouse, Angela Chamberlain, Jo Chambers, Joanne Davies, Denise Donaldson, Pati Faria-Shayler, Denise Fleming-Brown, Jennifer Ingell, Carol Knott, Anna Liew, Helen Lochhead, Juliette Meek, Isabel Rodriguez-Bachiller, Andrea Wilson, Patrick Zettergren, Rach AitSadi, Ian Barton, Alex Baxter, Yonghong Bu, Lukasz Danel, Sonja Grotjahn, Rijo Kurien, Michael Lay, Archie Maskill, Aleksandra Murawska, Rachel Raff, Allen Young, Rebecca Sardell, Vladimir Cejka, Marcela Fajardo-Moser, Christian Hartner, Doris Poehler, Janina Renner, Franziska Scheidemantel, Miya Bryant, Anita Hepditch, Cassandra Johnson, Erin Latore, Yolanda Miller, Lauren Price, Merilee Whalen, Ashleigh Wheeler, Jenny Ingell, Yu An, Yinghua Chen, Peiling Chen, Hao Dai, Hong Du, Fang Feng, Qing Guo, Libo Hou, Wuhanbilige Hundei, Binbin Jin, Yan Li, Jiamin Liu, Xia Song, Yanping Wang, Yanwu Yu, Ning Zhang, Lingshan Zhao, Hui Zhong, Cheng Beng Goh, Ye Mun Low, Soon Yi Sor, Farah Hanis Zulkipli, Sarojini Sivanandam, Natsuki Arai, Ai Fukasawa, Mizue Furukawa, Keisuke Habuki, Shoko Hayashi, Wakako Isari, Saki Kanegae, Maria Kawai, Reiki Kobayashi, Takako Kuramae, Chika Kuribayashi, Sawako Maeno, Satoshi Masumoto, Tomoko Morisaki, Minoru Oda, Kazue Sawada, Kenta Sugamori, Ayana Tatsuzawa, Aiko Tomita, Kazuyuki Yuasa, Hiroko Inazawa, Amanda Axler, Kerri Gallo, Ester Baldini, Barbara Bartolomei Mecatti, Francesca Bianchini, Martina Ceseri, Laura Cipressa, Gianna Fabbri, Andrea Lorimer, Donata Lucci, Sharang Ghavampour, Anja Knoppe, Hans Schmidt-Gurtler, Hubert Dumann, Sybille Merscher, Margret Patecki, Georg Rainer Schlieper, Anke Torp, Bianca Weber, Maja Zietz, Bernd Hohenstein, Urs Benck, Diliana Draganova, Thomas Weinreich, Lothar Wolf, Jasmine Gaidu, Hanna Reiner, Mandy Visnjic, Daniel Steffl, Marie Breitenfeldt, Annette Kraemer-Guth, Christine Braun, Simone Hagge, Michael Schomig, Stephan Matthias, Dominik Stoffler, Beate Schumacher, Thomas Sitter, Louise Fuessl, Julia Krappe, Jerome Loutan, Volker Vielhauer, Luciano Andriaccio, Magdalena Maurer, Bernhard Winkelmann, Martin Dursch, Linda Seifert, Linda Tenbusch, Julia Weinmann-Menke, Simone Boedecker, Wiebke Kaluza-Schilling, Daniel Kraus, Carina Krieger, Margit Schmude, Anne Schreiber, Ewelina Eckrich, Diethelm Tschope, Abdulwahab Arbi, Young Lee-Barkey, Bernd Stratmann, Natalie Prib, Sina Rolfsmeier, Irina Schneider, Lars Rump, Johannes Stegbauer, Christine Pötz, Mara Schemmelmann, Claudia Schmidt, Michael Koch, Sendogan Aker, Annika Küpper, Manuela Martin, Thiemo Pfab, Christian Albert, Michael Haase, Barbara Zander, Claudia Schneider-Danwitz, Wolfgang Seeger, Wolf-Adam Seeger, Britta Zemann, Christoph Stellbrink, Kristin Marx, Ekaterina Stellbrink, Britta Brettschneider, Stephanie Watson, Marion Iselt, Gerhard Klausmann, Inga-Nadine Kummer, Auguste Kutschat, Simone Streitenberger, Matthias Girndt, Silke Markau, Ina Girakossyan, Claudia Hanf, Joachim Beige, Ralph Wendt, Ulrike Schmidt, Andreas Schneider, Roland Veelken, Claudia Donhauser, Luis Becker, Nexhat Miftari, Ricarda Wolfling, Sarah Morlok, Christian Hugo, Alexander Paliege, Jens Passauer, Julian Stumpf, Annegret Fleischer, Kerstin Haaser, Bernhard Kraemer, Jan Jochims, Bernd Kruger, Claudia Foellinger, Anastassiya Reisler, Frank Strutz, Stefan Haack, Ursula Hohenstatt, Martin Busch, Konstantin Herfurth, Gunter Wolf, Rainer Paul, Hermann Haller, Jessica Kaufeld, Jan Menne, Elisabeth Bahlmann-Kroll, Angela Bergner, Horst Weihprecht, Aydin Er, Florian Sonntag, Elif Turan, Michael Wittmann, Franziska Klauser, Eva Voigt, Volker Schettler, Egbert Schulz, Madlen Rohnstock, Elke Schettler, Bernd Schroppel, Rene van Erp, Martin Kachele, Ulla Ludwig, Lena Schulte-Kemna, Waltraud Kmietschak, Elke Preiss, Martina Ruocco, Gunnar Heine, Martin Brzoska, Sebastian Gabel, Christina Büttner, Asma Sabarai, Bernhard Banas, Tobias Bergler, Yvonne Ehrl, Franz Putz, Antonia Schuster, Stefanie Kuhn, Torsten Schramm, Stefan Degenhardt, Gerhard Schmidt, Lea Weiland, Ulrike Giebeln-Hudnell, Jan Kielstein, Gabriele Eden, Brigitte Fuchs, Gina Morig, Manuela Winkler, Harald Darius, Charalampos Kriatselis, Carl-Philipp Roesch, Astrid Maselli, Dominik Alscher, Markus Ketteler, Moritz Schanz, Severin Schricker, Bianka Rettenmaier, Andrea Schwab, Pablo Pergola, Irene Leal, Melissa Cagle, Anna Romo, Anthony Torres, Sucharit Joshi, Kulli Barrett, Alexis Africano, Vicki Dodds, Dorleena Gowen, Ashlee Morris, Juan Fernandez, Guillermo Jimenez, Ricardo Viera, Kendaling Bruce, Ryan Barrios, Maylin Garcia, Kerelyn Garcia, Iradis Leal, David Tietjen, David Bains, Carlo Castillo, Genielle Brewer, Justin Davis, Natalie Freking, Brittany Golson, Sally Ham, Jesslyn Roesch, Pusadee Suchinda, Shameem Beigh, Usah Lilavivat, Joyce Bilton, Kim Bocchicchia, Jeffrey Turner, Neera Dahl, Aldo Peixoto, Yasemin Kavak, Lauren Liberti, Hari Nair, Nicolas Page, Stephanie Rosenberg, Kathryn Simmons, Tamara Isakova, Rebecca Frazier, Rupal Mehta, Anand Srivastava, Patrick Fox, Jonathan Hecktman, Alexander Hodakowski, Carlos Martinez, Rachel Phillips, Alexis Stevenson, Reem Mustafa, Kyle Jansson, Cassandra Kimber, Jason Stubbs, Ahmad Tuffaha, Sri Yarlagadda, Debbie Griffin, Elisabeth Laundy, Zhuo Tang, Radica Alicic, Ann Cooper, Lisa Davis, Ashwini Gore, Rebecca Goldfaden, Leslie Harvill, Lisa Hichkad, Barry Johns, Thomas Jones, Kayla Merritt, Jennifer Sheldon, Jennifer Stanfield, Lindsay Alexander, Kaitlyn Preston, Lindsey Wood, Rajesh Pradhan, Roger DeRaad, Kelli McIntosh, Louis Raymond, Michael Shepperd, Susan McLaughlin, Mary Seifert, Andrew Shepherd, Joseph Aiello, William Durham, Laurie Loudermilk, John Manley, Sabrina Burnette, Stephanie Evans, Tara Johnson, Lance Sloan, Judy Ann Acosta, Stacy Gillham, Katia Sloan, SueAnn Squyres, Michael Rocco, Amret Hawfield, Ben Bagwell, Lauren Richmond, Joseph Soufer, Subha Clarke, Amanda Aliu, Kristine Calabrese, Amanda Davis, Veronica Poma, Tracy Spinola, James Magee, Ricardo Silva, Rushab Choksi, Lorraine Dajani, John Evans, Anil George, Prasanth Krish, Gerard Martins, Mae Sheikh-Ali, David Sutton, Freda Driver, Abraham Hanburry, Laura Hume, Amber Hurst, Matthew Taddeo, Marla Turner, Veronica Yousif, Srinivasan Beddhu, Laith Al-Rabadi, Nikita Abraham, Amalia Caamano, Judy Carle, Victoria Gonce, Kaitlyn Staylor, Na Zhou, Shweta Bansal, Manoj Bhattarai, Kumar Sharma, Subrata Debnath, Aliseiya Garza, Chakradhar Velagapudi, Sergio Rovner, Javier Almeida, Pablo Casares, Verlaine Stewart-Ray, Rene Almaraz, Renata Dayrell, Ana Moncada, Ricardo Pulido, Roxana Rodriquez, Wasim Deeb, Kathryn DeGoursey, Rodel Gloria, Trevor Greene, Robert Miller, Edward Pereira, Miguel Roura, Debbie Domingo, Sasha Dorestin, William Hodge, Cathy Jackson, Deborah Lund, Katrina Taylor, Kenneth Boren, Brittany Cleveland, Sandra Gaiser, Mandeep Sahani, Logan Aldrich, Exodus Edmerson, Edmond Limon, Cole Valletta, Patricia Vasquez, Christopher Provenzano, Navkiranjot Brar, Heather Henderson, Bellovich Keith, Qur Khai, Quresh Khairullah, Gail Makos, Joel Topf, Sherry Gasko, Rosemarie Henschel, Kaitlin Knapp, Teresa Kozlowski, Paula LaFleur, Ashwathy Varughese, Hui Xue, Patricia Wu, Olga Arechiga, Shan Darbeau, Michael Fechter, Stephanie Martinez, Lenita Hanson, Nyla Cooper, Arelis Madera, Jay Cadorna, Rita Sheridan, Helen Sparks, Bradley Eilerman, Susanne Bodine, Wael Eid, Rebecca Flora, Amber Avery, Cashmere Hardy, Mihaela Biscoveanu, Steven Nagelberg, Tracey Cummins, Frederic Rahbari-Oskoui, Anju Oommen, Zohreh Forghani, Stacie Hitchcock, Darya Hosein, Diane Watkins, Minesh Patel, Anthony Lambert, Elizabeth Newman, Autumn Wood, Tammy Ross, Stephany Topping, Jeffrey Mulhern, Lorna Murphy, Ann Vasseur, Gregory Greenwood, Alexander Hadley, Denise Laurienti, Christopher Marshall, Nicholas McLean, Scott Satko, Brandy Caudill, Jacob Maris, Janice Rogers, Cindy Vanhoy, George Thomas, Georges Nakhoul, John O'Toole, Jonathan Taliercio, Leslie Cooperman, Marina Markovic, Barbara Tucky, Devasmita Dev, Alia Hasan, Hima Yalamanchili, Namita Jain, Lesley McNeil, Eric Wines, Jean Park, Adline Ghazi, Mia Hamm, Tejas Patel, Amy Mottl, Emily Chang, Vimal Derebail, Emmie Cole, Anne Froment, Sara Kelley, Jordan Osmond Foster, Vahid Mahabadi, Golriz Jafari, Anita Kamarzarian, Wendy Arriaga, Daisy Arteaga, Rosario Machicado, Genesis Naverrete, Prashant Kumar, Imran Nazeer, Karina Urquia, Tammi Glider, Vickie Jones, Savannah Rucker, Jennifer Wiley, Rahul Pandey, Jesus Arroyo, Harish Pariani, Mohammad Ahmad, Shahin Mozaffari, Erika Perez, Matthew Budoff, Sion Roy, Divya Birudaraju, Ahmed Ghanem, Sajad Hamal, Stephen Aronoff, Elisa Joye Petr, Richard Sachson, Jaime Wiebel, Sana Akram, Laurie Jones, Curtis Knight, Maurie Tarlac, Shahbaz Ahmed, Harold Szerlip, Akinwande Akinfolarin, Ankit Mehta, Shana Camp, Cindy Castro, Zanaida Cooper, Jessica Terry, Ahmed Awad, Bhavya Kothapalli, Ryan Lustig, Serine Alfaress, Hyder Jasim, Mary Parrigon, Dennis Karounos, Sadiq Ahmed, Maggie Berry, Ruth Oremus, Carlos Hernandez-Cassis, Elias Ugwu, Nazia Junejo, Nancy Suazo, Mark Segal, Amir Kazory, Sherry Brown, Tristan Daniels, Sofia Dayi, Renee Hogan, Kathy McCray, Jennifer Stickley, Mahboob Rahman, Mirela Dobre, Lavinia Negrea, Aparna Padiyar, Nishigandha Pradhan, Arash Rashidi, Nagaraju Sarabu, Vicki Donley, Tricia Young, Godson Oguchi, Judepatricks Onyema, Kahla Damianik, Jack Dienes, Judith Plummer-Morgan, Marilyn Roman, Mauver Skipper, Stacey-Ann Villaruel, Krystle Williams, Danny Sugimoto, Jeffrey Dugas, Ismeal Ahmed, Jamie Bhairoo, Dolores Rijos, Huzaifa Salim, Madita Gavrila, Kathryn Lafferty, Ria Rabara, Sally Ruse, Maria Weetman, James Bushnell, Albert Power, Alison Jenkins, Stefanie Jones, Amanda Scott, Cath Byrne, Mark Jesky, Alison Cowley, Emma McHaffie, Holly Waterfall, Jo Taylor, Laura Bough, Thomas Phillips, Barbara Winter-Goodwin, Sui Phin Kon, Iain MacDougall, Eirini Lioudaki, Sapna Shah, Claire Sharpe, Francisco Aguilar, Abegail Hernandez Pena, Conception Pugay, Amelia Te, Hugh Finn, Wasim Hanif, Samiul Mostafa, Alice Aitken, Katharine Draxlbauer, Evelina Grobovaite, Jennifer Kearney, Theresa McCarthy, Giorgio Gentile, Duncan Browne, Palanichamy Chellamuthu, Tabinda Dugal, Terri Chant, Laura Jones, Emily Laity, Megan Miners, James Muir, Elizabeth Swanson, Andrew Frankel, James Tomlinson, Marlon Alegata, Rashid Almasarwah, Anthoula Apostolidi, Maria Vourvou, Thomas Walters, Maarten Taal, Hari Dukka, Nitin Kolhe, Carly McDonald, Kelly White, Shiva Ugni, Smita Gunda, Rotimi Oluyombo, Vicki Brindle, Ping Coutts, Tracy Fuller, Evelyn Nadar, Suresh Ramadoss, Nichola Motherwell, Susannah Pajak, Louise Tonks, Sunil Bhandari, Richard Bodington, Adil Hazara, Dominic Fellowes, Christopher Wong, Christopher Goldsmith, Sherald Barnes, Ann Bennett, Claire Burston, Samantha Hope, Nicola Hunt, Lini Kurian, Richard Fish, Daniela Farrugia, Judy Lee, Emma Sadler, Hannah Turner, Christopher Hill, Henry Brown, Agnes Masengu, Peter Maxwell, Nina Bleakley, Hugh Murtagh, William Petchey, Vivian Yiu, Joanne Kellett, Angharad Williams, Helen Clarke, Victoria Carnall, Sarah Benyon, Caroline Blake, Stephanie Estcourt, Jane Piper, Neal Morgan, Carolyn Hutchinson, Teresa McKinley, Alastair Woodman, Judi Graham, Niall Leonard, John Smyth, Vicki Adell, Samantha Hagan, Ben Caplin, Amin Oomatia, Eleanor Damian, Toluleyi Sobande, Tim Doulton, Michael Delaney, Mahmoud Montasser, Jenny Hansen, David Loader, Angela Moon, Frances Morris, Smeeta Sinha, Chukwuma Chukwu, Amy Hudson, Diane Campbell, Melanie Kershaw, Stephanie Whittaker, Ayesha Irtiza-Ali, Farid Ghalli, Heba Nosseir, Allison Leslie, Kate Trivedi, Donald Fraser, Mohammad Alhadj Ali, Sian Griffin, Farah Latif, Justyna Witczak, Alexa Wonnacott, Lynda Jeffers, Yvette Webley, Paul Phelan, Eve Miller-Hodges, Ailsa Geddes, Margaret Glenwright, Amy Hunter, Thomas Pickett, Jim Moriarty, Linda Hill, Amanda Tyler, Waqar Ayub, Gail Evans, Sue Hewins, Davina Hewitt, Kerry Read, Samira Bell, Leanne Cosgrove, Rachel Craik, Shona Murray, Nitin Bhandary, Holly Coles, Rashmi Easow, Maya Joseph, Arif Khwaja, Yvonne Jackson, Angeline Mbuyisa, Rachel Sellars, Nihil Chitalia, Cynthia Mohandas, Anca Gherman, Charlotte Kamundi, Olumide Olufuwa, Kieran McCafferty, Adedolapo Adeleke, Cara Healy, Damini Jeyarajah, Edward Kinsella-Perks, Richard Smith, Brian Camilleri, Carol Buckman, Jenny Finch, Vanessa Rivers, Andrew Connor, Sheila Carr, Lisa Shainberg, Andrew Lewington, Richard Baker, Suzannah Dorey, Kay Tobin, Rosalyn Wheatley, Debasish Banerjee, Richard Hull, Sharirose Abat, Riny Paul, Mahzuz Karim, Zay Htet, Saad Tufail, Ravi Varma, Karen Convery, Deirdre Fottrell-Gould, Lisa Hudig, Emily Tropman, Thahir Abdul-Samad, Anne Grace, Marie Phipps, Rebecca Suckling, Subash Somalanka, Bhrigu Sood, Pauline Swift, Sarah Acheampong, Kwame Ansu, Martia Augustin, Anna Sampson, Lynn Vinall, Kim Wren, Shamila Wanninayake, Nicholas Wooding, Heather Edwards, Lydia Owen, Stephanie Bolton, Marion Carson, Michael Matthews, Nigel Brunskill, Jorge Jesus-Silva, Alex Howson, Mary Quashie-Akponeware, Hilary Tindall, Chidambaram Nethaji, Helen Eldon, Rajan Patel, Patrick Mark, Alastair Rankin, Michael Sullivan, Kirsty Forsyth, Rowan McDougall, Tanaji Dasgupta, Louisa Davies, Maggie Ryder, Philip Grimmer, Clare Macdonald, Mary Webster, Newcastle Newcastle, Timothy Ellam, Edwin Wong, Christine Meshykhi, Andrea Webster, Peter Wilson, Enric Vilar, Jocelyn Berdeprado, Eunice Doctolero, Lily Wilkinson, Frank McCarroll, Hesham Ammar, Ying Kuan, Conor Moran, Girish Shivashankar, Ryan Campbell, Deborah Glowski, Paula McDermott, Amar Ali, Zuber Patel, Christine Bond, Gillian Whalley, Haitao Zhang, Liu Yang, Lihua Zhang, Tingting Kan, Ling Zhu, Jinghong Zhao, Weiping Hou, Jing Wu, Hong Cheng, Weijing Bian, Zhirui Zhao, Fengmin Shao, Huixia Cao, Xiaojing Jiao, Peiyuan Niu, Jianying Niu, Yu Chen, Lihong Zhang, Shenglang Zhu, Haiyan Lin, Shaopeng Yao, Jiehui Chen, Ying Jiang, Ying Hu, Huaying Xiao, Fuye Yang, Xinzhou Zhang, Baochun Guo, Qiu Jin, Lixia Liu, Xiangcheng Xiao, Yanyun Xie, Ting Meng, Chuanwen Xu, Jie Huang, Yanmei Xu, Weixin Kong, Xiaoliang Wang, Qianpan Liu, Xueying Wang, Ming Gao, Xiumei Hu, Ying Lu, Li Wang, Kun Peng, Wei Wang, Qiuhong Gong, Jianfang Cai, Xiaojue Li, Xuejiao Liu, Shuhan Zhou, Hong Liu, Yao Weng, Shuai Tang, Yao Yao, Shi Zhao, Chen Cheng, Wei Wei, Na Li, Sadanah Aqashiah Mazlan, Alia Zubaidah Bahtar, Elliyyin Katiman, Noraini Othman, Lily Mushahar, Nurdiana Mazlan, Nur Sharafina Safiee, Sarasa Ramasamy, Hin Seng Wong, Hajar Ahmad Rosdi, Esther Zhao Zhi Tan, Ju Fan Tay, Kok Seng Teng, Hasnah Yahaya, Wen Jiun Liu, Lik Wee Ee, Kenneth Kay Leong Khoo, Yuana Mohd Yusoff, Fariz Safhan Mohamad Nor, Mohd Kamil Ahmad, Mohd Ramli Seman, Clare Hui Hong Tan, Laura Lui Sian Ngu, Jaime Yoke May Chan, Javelin Peji, Chek Loong Loh, Yee Yan Lee, Sridhar Ramanaidu, Kah Mean Thong, Yik Hong Wong, Suria Junus, Chen Hua Ching, Mohammad Faisal Asmee, Ku Ruziana Ku Md Razi, Chun Leong Low, Christopher Sze Bing Sim, Zhang Duan Tham, Noor Kamila Abdullah, Tai Meng Chen, Yong Chieh Chan, Eason Chang, Huan Yean Kang, Kai Quan Lee, Sue Ann Lee, Aik Kheng Lee, Jeevika Vinathan, Rizna Abdul Cader, Ruslinda Mustafar, Lydia Kamaruzaman, Rozita Mohd, Rahimah Ismail, Chong Men Leong, Chee Koon Low, Liang Wei Wong, Norlezah Adnan, Sabariah Ibrahim, Mohamad Zaimi Abdul Wahab, Sunita Bavanandan, Yik Shen Lim, Wan Hazlina Wan Mohamad, Siti Munirah Jaafar, Nur Ashykeen Mohd Fauzi, Aziee Sudin, Soo Kun Lim, Chye Chung Gan, Albert Hing, Wan Ahmad Faizal Alaidin Razali, Yew Fong Liew, Chelsia Bao Tyng Chan, Mei Chih Cheng, Yu Chen Ong, Loke Meng Ong, Farah Amalina Mohamed Affandi, Korina Rahmat, Ban Chai Peng, Masayu Amat, Nuzaimin Hadafi Ahmad, Doo Yee Mah, Yi Loon Tye, Zaid Azhari, Siti Nabilah Mohamad Zaini, Mohd Aidil Musa, Norazinizah Ahmad Miswan, Rafizanur Ramli, Nor Aziah Ahmad, Bak Leong Goh, Nurul Izah Ahmad, Fairol Huda Ibrahim, Tze Jian Ng, Malini Shanmuganathan, Li Lian Tay, Zaiha Harun, Salmi Ramli, Nurul 'Ain Yusof, Rossenizal Abd Rahman, Muhammad Iqbal Abdul Hafidz, Nur Hidayati Mohd Sharif, Irda Yasmoon Awang, Eitaro Nakashima, Rui Imamine, Makiko Minatoguchi, Yukari Miura, Miduki Nakaoka, Yoshiki Suzuki, Hitomi Yoshikawa, Koki Shin, Kanae Fujita, Misuzu Iwasa, Haruka Sasajima, Airi Sato, Yoshiyuki Hamamoto, Yuki Fujita, Takuya Haraguchi, Takanori Hyo, Kiyohiro Izumi, Toshiyuki Komiya, Sodai Kubota, Takeshi Kurose, Hitoshi Kuwata, Susumu Nakatani, Kaori Oishi, Saki Okamoto, Kaori Okamura, Jun Takeoka, Nagaaki Tanaka, Katsuya Tanigaki, Naohiro Toda, Koin Watanabe, Hiromi Komori, Rika Kumuji, Asako Takesada, Aya Tanaka, Shoichi Maruyama, Tomonori Hasegawa, Akiko Ishiguro, Takuji Ishimoto, Kazuhiro Ito, Yutaka Kamimura, Noritoshi Kato, Sawako Kato, Hiroshi Kojima, Tomoki Kosugi, Kayaho Maeda, Masasi Mizuno, Shoji Saito, Hitomi Sato, Yuka Sato, Yasuhiro Suzuki, Akihito Tanaka, Yoshinari Yasuda, Fujiko Hasegawa, Maiko Hayashi, Shizuka Higashi, Kaho Shimamura, Momoko Sumi, Kazuki Tajima, Chimaki Unekawa, Kana Wakayama, Yukiko Wakita, Takatoshi Otani, Ayako Imai, Sayaka Kawashima, Eri Kogure, Tomoe Sato, Misato Takezawa, Shinya Yoshida, Hideo Araki, Yuko Katsuda, Masahiro Konishi, Takahiro Matsunaga, Masashi Oe, Kunihiro Ogane, Masato Sakai, Tomoko Takahashi, Takahiro Yamano, Takuya Yokoyama, Hitomi Ito, Masayo Katayama, Emi Kuroda, Toru Ikeda, Takuma Kojo, Etsuo Yoshidome, Rieko Mizumachi, Akane Yamamoto, Narihisa Yamasaki, Yoshihiko Yamasaki, Jun Wada, Jun Eguchi, Chigusa Higuchi, Akihiro Katayama, Masaru Kinomura, Masashi Kitagawa, Shinji Kitamura, Satoshi Miyamoto, Hiroshi Morinaga, Atsuko Nakatsuka, Ichiro Nojima, Kenichi Shikata, Hitoshi Sugiyama, Katsuyuki Tanabe, Kenji Tsuji, Haruhito Uchida, Mayu Watanabe, Chie Hashimoto, Takahiro Kato, Sayaka Yamamoto, Takehiko Wada, Masafumi Fukagawa, Naoto Hamano, Masahiro Koizumi, Hirotaka Komaba, Yosuke Nakagawa, Michiyo Iwamoto, Kosuke Masutani, Akane Katanosaka, Mayu Kiyota, Hikari Uchi, Yuka Ueda, Sonoka Yamamoto, Hajime Nagasu, Seiji Itano, Tsukasa Iwakura, Hiroyuki Kadoya, Eiichiro Kanda, Naoki Kashihara, Kengo Kidokoro, Megumi Kondo, Tamaki Sasaki, Minoru Satoh, Atsuyuki Tokuyama, Reina Umeno, Yoshihisa Wada, Toshiya Yamamoto, Yu Yamanouchi, Masumi Abe, Yoko Inukai, Wataru Ogawa, Shunichiro Asahara, Hideki Fujii, Shunsuke Goto, Yushi Hirota, Tetsuya Hosooka, Keiji Kono, Shinichi Nishi, Yuko Okada, Kazuhiko Sakaguchi, Kenji Sugawara, Michiko Takahashi, Tomoko Takai, Yoshikazu Tamori, Kentaro Watanabe, Miyu Kitajima, Misaki Nishi, Junko Wada, Yasuhiko Ito, Hideki Kamiya, Akimasa Asai, Nao Asai, Saeko Asano, Shogo Banno, Yohei Ejima, Hanako Hase, Tomohide Hayami, Tatsuhito Himeno, Takahiro Ishikawa, Mayumi Ito, Shiho Iwagaitsu, Rina Kasagi, Yoshiro Kato, Makoto Kato, Koichi Kato, Takayuki Katsuno, Miyuka Kawai, Hiroshi Kinashi, Masaki Kondo, Masako Koshino, Naoya Matsuoka, Yoshiaki Morishita, Mikio Motegi, Jiro Nakamura, Hiromi Shimoda, Hirokazu Sugiyama, Shin Tsunekawa, Makoto Yamaguchi, Kazuyo Takahashi, Hirotaka Watada, Takashi Funayama, Yasuhiko Furukawa, Tomohito Gohda, Hiromasa Goto, Hideyoshi Kaga, Yasuhiko Kanaguchi, Akio Kanazawa, Kayo Kaneko, Toshiki Kano, Masao Kihara, Shogo Kimura, Takashi Kobayashi, Masayuki Maiguma, Yuko Makita, Satoshi Mano, Tomoya Mita, Takeshi Miyatsuka, Maki Murakoshi, Masahiro Muto, Masami Nakata, Junichiro Nakata, Yuya Nishida, Nao Nohara, Takeshi Ogihara, Daisuke Sato, Junko Sato, Hiroaki Sato, Yusuke Suzuki, Ruka Suzuki, Hitoshi Suzuki, Miyuki Takagi, Yoshifumi Tamura, Toyoyoshi Uchida, Seiji Ueda, Miki Asawa, Minako Miyaji, Eri Nagashima, Yoshie Shibata, Eri Yanagisawa, Toshimasa Yamauchi, Yosuke Hirakawa, Hiroshi Nishi, Nobuhiro Shojima, Satoko Horikawa, Yukiko Nakayama, Naoko Yamada, Yuki Omori, Shintaro Yano, Miyabi Ioka, Nahoko Kuwabara, Remi Nagano, Megumi Nozawa, Yumi Osawa, Hiroshi Maegawa, Shinji Kume, Shinichi Araki, Itsuko Miyazawa, Katsutaro Morino, Ikuko Kawai, Masumi Sobata, Motoko Takaoka, Yasushi Iwaita, Takashi Udagawa, Ami Inamori, Aya Kawase, Aya Yamanaka, Hitoshi Shimano, Akiko Fujita, Hitoshi Iwasaki, Hirayasu Kai, Yoshinori Osaki, Chie Saito, Motohiro Sekiya, Ryoya Tsunoda, Kunihiro Yamagata, Rikako Nakamura, Aiko Yamada, Mitsuru Ohsugi, Motoharu Awazawa, Ryotaro Bouchi, Shota Hashimoto, Makiko Hashimoto, Tomoko Hisatake, Noriko Ihana, Koko Ishizuka, Kazuo Izumi, Hiroshi Kajio, Michi Kobayashi, Noriko Kodani, Koji Maruyama, Michihiro Matsumoto, Maya Matsushita, Tomoka Nakamura, Takehiro Sugiyama, Akiyo Tanabe, Aiko Terakawa, Kojiro Ueki, Yuko Orimo, Takako Ozawa, Eriko Takahira, Yoshimitsu Yamasaki, Masakazu Haneda, Tadahiro Tomita, Saori Akimoto, Akihiro Fujimoto, Kenji Ishihara, Chiho Murakami, Akiyo Nishiyama, Yukiko Toyonaga, Kana Uozumi, Yukihiro Yamaji, Tetsuya Shigehara, Jun Okajyo, Yukihiro Shimizu, Shingo Iwasaki, Yuki Fukao, Megumi Furusho, Shintaro Nunokawa, Hideki Katagiri, Tomohito Izumi, Keizo Kaneko, Shinjiro Kodama, Mariko Miyazaki, Yuichiro Munakata, Tasuku Nagasawa, Yuji Oe, Hiroto Sugawara, Kei Takahashi, Kazushige Hirata, Keiko Inomata, Shoko Otomo, Taeko Uchida, Chigusa Yamashita, Arihiro Kiyosue, Ryota Tamura, Francois Dube, Marilene Bolduc, Marie-Christine Talbot, Leslie Cham, Vesta Lai, Josephine Tse, Shivinder Jolly, Tabbatha Duck, Scott Lyle, Rachel Epp, Camille Galloway, Susan Haskett, Elizabeta Matvienko, Liam Paulsen, Louise Moist, Zabrina Lozon, Tina Ramsey, Brittany Whitmore, Bader Al-Zeer, Paula Macleod, Aoife O'Sullivan, Zainab Sheriff, Sam Tholl, Amritanshu Pandey, Samantha Armstrong, Bethelihem Gebeyehu, Patrick Toth, Ronald Goldenberg, Mahsa Jahangiriesmaili, Shariff Sanguila, Neethi Suresh, Tanvi Talsania, Nadia Zalunardo, Mohsen Agharazii, Marie-Pier Roussel, Annie Saillant, France Samson, Harpreet Bajaj, Miken Bhavsar, Parul Dhall, Gagandeep Dhillon, Bhupinder Grewal, Taniya Nimbkar, Francois Madore, Guylaine Marcotte, Oren Steen, Mathura Bullen, Shayani Raguwaran, Andre Valleteau, Marie-France Langlois, Christine Brown, Andrew Steele, Melissa Garrity, Taneera Ghate, Holly Robinson, Michael Tolibas, Chetna Tailor, Lauren Elliott, Christine McClary-Wright, Fadia Boreky, Sameh Fikry, Ayesha Ali, Chintankumar Barot, Wagdy Basily, Thisun Saram, Vinay Varad, Hasnain Khandwala, Alex Aguilera, Patricia Alvarez, Balwinder Gill, Nazihah Huda, Aamir Navivala, Daniel Pinto, Micheli Bevilacqua, Elaine Fung, Geraldine Hernandez, Puneet Mann, Jaskiran Saini, Remi Rabasa-Lhoret, Danijela Bovan, Marie Devaux, Cecilia Barnini, Giovanna Leoncini, Luca Manco, Giulia Nobili, Matteo Piemontese, Filippo Aucella, Rachele Grifa, Francesco Totaro, Gaetano La Manna, Irene Capelli, Giuseppe Cianciolo, Sarah Lerario, Fulvia Zappulo, Alberto Rosati, Filippo Fani, Giuseppe Spatoliatore, Loreto Gesualdo, Francesco Pesce, Maria Russo, Maria Zippo, Cesira Cafiero, Daria Motta, Simona Bianco, Donatella Bilucaglia, Piergiorgio Messa, Laura Pavone, Federica Tripodi, Simone Vettoretti, Paola Fioretto, Gianni Carraro, Filippo Farnia, Anna Postal, Alessandro D'Amelio, Antonio Cardone, Giovanni Piccinni, Annalisa Aloisi, Francesco Scolari, Federico Alberici, Alice Guerini, Chiara Saccà, Chiara Salviani, Roberta Zani, Luca De Nicola, Carlo Garofalo, Maria Elena Liberti, Roberto Minutolo, Luigi Pennino, Lucio Polese, Paolo Mené, Simona Barberi, Clorinda Falcone, Francesco Russo, Maurizio Caroppo, Gennaro Santorelli, Rodolfo Rivera, Domenico Santoro, Alfio Giuffrida, Fortunata Zirino, Cristina Calvi, Luca Estienne, Giovanni Gambaro, Concetta Gangemi, Vittorio Ortalda, Giuseppina Pessolano, Giuseppe Grandaliano, Rocco Baccaro, Pietro Ferraro, Roberto Mangiacapra, Marco Melandri, Nadia Foligno, Rita Quartagno, Giuseppe Vezzoli, Elena Brioni, William G, Herrington, Natalie, Staplin, Christoph, Wanner, Jennifer B, Green, Sibylle J, Hauske, Jonathan R, Emberson, David, Prei, Parminder, Judge, Kaitlin J, Mayne, Sarah Y A, Ng, Emily, Sammon, Doreen, Zhu, Michael, Hill, Will, Steven, Karl, Wallendszu, Susanne, Brenner, Alfred K, Cheung, Zhi-Hong, Liu, Jing, Li, Lai Seong, Hooi, Wen, Liu, Takashi, Kadowaki, Masaomi, Nangaku, Adeera, Levin, David, Cherney, Aldo P, Maggioni, Roberto, Pontremoli, Rajat, Deo, Shinya, Goto, Xavier, Rossello, Katherine R, Tuttle, Dominik, Steubl, Michaela, Petrini, Dan, Massey, Jens, Eilbracht, Martina, Brueckmann, Martin J, Landray, Colin, Baigent, Richard, Hayne, EMPA-KIDNEY Collaborative Group: Colin Baigent, The, J Landray, Martin, Wanner, Christoph, G Herrington, William, Haynes, Richard, B Green, Jennifer, J Hauske, Sibylle, Brueckmann, Martina, Hopley, Mark, von-Eynatten, Maximillian, George, Jyothi, Brenner, Susanne, K Cheung, Alfred, Preiss, David, Liu, Zhi-Hong, Li, Jing, Hooi, Laiseong, Liu, Wen, Kadowaki, Takashi, Nangaku, Masaomi, Levin, Adeera, Cherney, David, Pontremoli, Roberto, P Maggioni, Aldo, Staplin, Natalie, Emberson, Jonathan, Hantel, Stefan, Goto, Shinya, Deo, Rajat, R Tuttle, Katherine, Hill, Michael, Judge, Parminder, J Mayne, Kaitlin, A Ng, Sarah Y, Rossello, Xavier, Sammons, Emily, Zhu, Doreen, Sandercock, Peter, Bilous, Rudolf, Herzog, Charle, Whelton, Paul, Wittes, Janet, Bennett, Derrick, Achiri, Patricia, Ambrose, Chrissie, Badin, Cristina, Barton, Jill, Brown, Richard, Burke, Andy, Butler, Sebastian, Dayanandan, Rejive, Donaldson, Pia, Dykas, Robert, Fletcher, Lucy, Frederick, Kate, Kingston, Hannah, Gray, Mo, Harding, Emily, Hashimoto, Akiko, Howie, Lyn, Hurley, Susan, Lee, Ryonfa, Luker, Nik, Murphy, Kevin, Nakahara, Mariko, Nolan, John, Nunn, Michelle, Mulligan, Sorcha, Omata, Akiko, Pickworth, Sandra, Qiao, Yanru, Shah, Shraddha, Taylor, Karen, Timadjer, Alison, Willett, Monique, Wincott, Liz, Yan, Qin, Yu, Hui, Bowman, Louise, Chen, Fang, Clarke, Robert, Goonasekera, Michelle, Karsan, Waseem, Mafham, Marion, Reith, Christina, Zayed, Mohammed, Ellison, Ritva, Moys, Rowan, Stevens, Will, Verdel, Kevin, Wallendszus, Karl, Bowler, Chri, Brewer, Anna, Measor, Andy, Cui, Guanguo, Daniels, Charle, Field, Angela, Goodenough, Bob, Lawson, Ashley, Mostefai, Youcef, Radhakrishnan, Dheeptha, Syed, Samee, Xia, Shuang, Adewuyi-Dalton, Ruth, Arnold, Thoma, Beneat, Anne-Marie, Bhatt, Anoushka, Bird, Chloe, Breach, Andrew, Brown, Laura, Caple, Mark, Chavagnon, Tatyana, Chung, Karen, Clark, Sarah, Condurache, Luminita, Eichstadt, Katarzyna, Espino Obrero, Marta, Forest, Scarlett, French, Helen, Goodwin, Nick, Gordon, Andrew, Gordon, Joanne, Guest, Cat, Harding, Tina, Hozak, Michal, Lacey, Matthew, Maclean, David, Messinger, Louise, Moffat, Stewart, Radley, Martin, Shenton, Claire, Tipper, Sarah, Tyler, Jon, Weaving, Lesley, Wheeler, Jame, Williams, Elissa, Williams, Tim, Woodhouse, Hamish, Chamberlain, Angela, Chambers, Jo, Davies, Joanne, Donaldson, Denise, Faria-Shayler, Pati, Fleming-Brown, Denise, Ingell, Jennifer, Knott, Carol, Liew, Anna, Lochhead, Helen, Meek, Juliette, Rodriguez-Bachiller, Isabel, Wilson, Andrea, Zettergren, Patrick, Aitsadi, Rach, Barton, Ian, Baxter, Alex, Bu, Yonghong, Danel, Lukasz, Grotjahn, Sonja, Kurien, Rijo, Lay, Michael, Maskill, Archie, Murawska, Aleksandra, Raff, Rachel, Young, Allen, Sardell, Rebecca, Cejka, Vladimir, Fajardo-Moser, Marcela, Hartner, Christian, Poehler, Dori, Renner, Janina, Scheidemantel, Franziska, Bryant, Miya, Hepditch, Anita, Johnson, Cassandra, Latore, Erin, Miller, Yolanda, Price, Lauren, Whalen, Merilee, Wheeler, Ashleigh, Ingell, Jenny, An, Yu, Chen, Yinghua, Chen, Peiling, Dai, Hao, Du, Hong, Feng, Fang, Guo, Qing, Hou, Libo, Hundei, Wuhanbilige, Jin, Binbin, Li, Yan, Liu, Jiamin, Song, Xia, Wang, Yanping, Yu, Yanwu, Zhang, Ning, Zhao, Lingshan, Zhong, Hui, Beng Goh, Cheng, Mun Low, Ye, Yi Sor, Soon, Hanis Zulkipli, Farah, Sivanandam, Sarojini, Arai, Natsuki, Fukasawa, Ai, Furukawa, Mizue, Habuki, Keisuke, Hayashi, Shoko, Isari, Wakako, Kanegae, Saki, Kawai, Maria, Kobayashi, Reiki, Kuramae, Takako, Kuribayashi, Chika, Maeno, Sawako, Masumoto, Satoshi, Morisaki, Tomoko, Oda, Minoru, Sawada, Kazue, Sugamori, Kenta, Tatsuzawa, Ayana, Tomita, Aiko, Yuasa, Kazuyuki, Inazawa, Hiroko, Axler, Amanda, Gallo, Kerri, Baldini, Ester, Bartolomei Mecatti, Barbara, Bianchini, Francesca, Ceseri, Martina, Cipressa, Laura, Fabbri, Gianna, Lorimer, Andrea, Lucci, Donata, Ghavampour, Sharang, Knoppe, Anja, Schmidt-Gurtler, Han, Dumann, Hubert, Merscher, Sybille, Patecki, Margret, Rainer Schlieper, Georg, Torp, Anke, Weber, Bianca, Zietz, Maja, Hohenstein, Bernd, Benck, Ur, Draganova, Diliana, Weinreich, Thoma, Wolf, Lothar, Gaidu, Jasmine, Reiner, Hanna, Visnjic, Mandy, Steffl, Daniel, Breitenfeldt, Marie, Kraemer-Guth, Annette, Braun, Christine, Hagge, Simone, Schomig, Michael, Matthias, Stephan, Stoffler, Dominik, Schumacher, Beate, Sitter, Thoma, Fuessl, Louise, Krappe, Julia, Loutan, Jerome, Vielhauer, Volker, Andriaccio, Luciano, Maurer, Magdalena, Winkelmann, Bernhard, Dursch, Martin, Seifert, Linda, Tenbusch, Linda, Weinmann-Menke, Julia, Boedecker, Simone, Kaluza-Schilling, Wiebke, Kraus, Daniel, Krieger, Carina, Schmude, Margit, Schreiber, Anne, Eckrich, Ewelina, Tschope, Diethelm, Arbi, Abdulwahab, Lee-Barkey, Young, Stratmann, Bernd, Prib, Natalie, Rolfsmeier, Sina, Schneider, Irina, Rump, Lar, Stegbauer, Johanne, Pötz, Christine, Schemmelmann, Mara, Schmidt, Claudia, Koch, Michael, Aker, Sendogan, Küpper, Annika, Martin, Manuela, Pfab, Thiemo, Albert, Christian, Haase, Michael, Zander, Barbara, Schneider-Danwitz, Claudia, Seeger, Wolfgang, Seeger, Wolf-Adam, Zemann, Britta, Stellbrink, Christoph, Marx, Kristin, Stellbrink, Ekaterina, Brettschneider, Britta, Watson, Stephanie, Iselt, Marion, Klausmann, Gerhard, Kummer, Inga-Nadine, Kutschat, Auguste, Streitenberger, Simone, Girndt, Matthia, Markau, Silke, Girakossyan, Ina, Hanf, Claudia, Beige, Joachim, Wendt, Ralph, Schmidt, Ulrike, Schneider, Andrea, Veelken, Roland, Donhauser, Claudia, Becker, Lui, Miftari, Nexhat, Wolfling, Ricarda, Morlok, Sarah, Hugo, Christian, Paliege, Alexander, Passauer, Jen, Stumpf, Julian, Fleischer, Annegret, Haaser, Kerstin, Kraemer, Bernhard, Jochims, Jan, Kruger, Bernd, Foellinger, Claudia, Reisler, Anastassiya, Strutz, Frank, Haack, Stefan, Hohenstatt, Ursula, Busch, Martin, Herfurth, Konstantin, Wolf, Gunter, Paul, Rainer, Haller, Hermann, Kaufeld, Jessica, Menne, Jan, Bahlmann-Kroll, Elisabeth, Bergner, Angela, Weihprecht, Horst, Er, Aydin, Sonntag, Florian, Turan, Elif, Wittmann, Michael, Klauser, Franziska, Voigt, Eva, Schettler, Volker, Schulz, Egbert, Rohnstock, Madlen, Schettler, Elke, Schroppel, Bernd, van Erp, Rene, Kachele, Martin, Ludwig, Ulla, Schulte-Kemna, Lena, Kmietschak, Waltraud, Preiss, Elke, Ruocco, Martina, Heine, Gunnar, Brzoska, Martin, Gabel, Sebastian, Büttner, Christina, Sabarai, Asma, Banas, Bernhard, Bergler, Tobia, Ehrl, Yvonne, Putz, Franz, Schuster, Antonia, Kuhn, Stefanie, Schramm, Torsten, Degenhardt, Stefan, Schmidt, Gerhard, Weiland, Lea, Giebeln-Hudnell, Ulrike, Kielstein, Jan, Eden, Gabriele, Fuchs, Brigitte, Morig, Gina, Winkler, Manuela, Darius, Harald, Kriatselis, Charalampo, Roesch, Carl-Philipp, Maselli, Astrid, Alscher, Dominik, Ketteler, Marku, Schanz, Moritz, Schricker, Severin, Rettenmaier, Bianka, Schwab, Andrea, Pergola, Pablo, Leal, Irene, Cagle, Melissa, Romo, Anna, Torres, Anthony, Joshi, Sucharit, Barrett, Kulli, Africano, Alexi, Dodds, Vicki, Gowen, Dorleena, Morris, Ashlee, Fernandez, Juan, Jimenez, Guillermo, Viera, Ricardo, Bruce, Kendaling, Barrios, Ryan, Garcia, Maylin, Garcia, Kerelyn, Leal, Iradi, Tietjen, David, Bains, David, Castillo, Carlo, Brewer, Genielle, Davis, Justin, Freking, Natalie, Golson, Brittany, Ham, Sally, Roesch, Jesslyn, Suchinda, Pusadee, Beigh, Shameem, Lilavivat, Usah, Bilton, Joyce, Bocchicchia, Kim, Turner, Jeffrey, Dahl, Neera, Peixoto, Aldo, Kavak, Yasemin, Liberti, Lauren, Nair, Hari, Page, Nicola, Rosenberg, Stephanie, Simmons, Kathryn, Isakova, Tamara, Frazier, Rebecca, Mehta, Rupal, Srivastava, Anand, Fox, Patrick, Hecktman, Jonathan, Hodakowski, Alexander, Martinez, Carlo, Phillips, Rachel, Stevenson, Alexi, Mustafa, Reem, Jansson, Kyle, Kimber, Cassandra, Stubbs, Jason, Tuffaha, Ahmad, Yarlagadda, Sri, Griffin, Debbie, Laundy, Elisabeth, Tang, Zhuo, Alicic, Radica, Cooper, Ann, Davis, Lisa, Gore, Ashwini, Goldfaden, Rebecca, Harvill, Leslie, Hichkad, Lisa, Johns, Barry, Jones, Thoma, Merritt, Kayla, Sheldon, Jennifer, Stanfield, Jennifer, Alexander, Lindsay, Preston, Kaitlyn, Wood, Lindsey, Pradhan, Rajesh, Deraad, Roger, Mcintosh, Kelli, Raymond, Loui, Shepperd, Michael, Mclaughlin, Susan, Seifert, Mary, Shepherd, Andrew, Aiello, Joseph, Durham, William, Loudermilk, Laurie, Manley, John, Burnette, Sabrina, Evans, Stephanie, Johnson, Tara, Sloan, Lance, Ann Acosta, Judy, Gillham, Stacy, Sloan, Katia, Squyres, Sueann, Rocco, Michael, Hawfield, Amret, Bagwell, Ben, Richmond, Lauren, Soufer, Joseph, Clarke, Subha, Aliu, Amanda, Calabrese, Kristine, Davis, Amanda, Poma, Veronica, Spinola, Tracy, Magee, Jame, Silva, Ricardo, Choksi, Rushab, Dajani, Lorraine, Evans, John, George, Anil, Krish, Prasanth, Martins, Gerard, Sheikh-Ali, Mae, Sutton, David, Driver, Freda, Hanburry, Abraham, Hume, Laura, Hurst, Amber, Taddeo, Matthew, Turner, Marla, Yousif, Veronica, Beddhu, Srinivasan, Al-Rabadi, Laith, Abraham, Nikita, Caamano, Amalia, Carle, Judy, Gonce, Victoria, Staylor, Kaitlyn, Zhou, Na, Bansal, Shweta, Bhattarai, Manoj, Sharma, Kumar, Debnath, Subrata, Garza, Aliseiya, Velagapudi, Chakradhar, Rovner, Sergio, Almeida, Javier, Casares, Pablo, Stewart-Ray, Verlaine, Almaraz, Rene, Dayrell, Renata, Moncada, Ana, Pulido, Ricardo, Rodriquez, Roxana, Deeb, Wasim, Degoursey, Kathryn, Gloria, Rodel, Greene, Trevor, Miller, Robert, Pereira, Edward, Roura, Miguel, Domingo, Debbie, Dorestin, Sasha, Hodge, William, Jackson, Cathy, Lund, Deborah, Taylor, Katrina, Boren, Kenneth, Cleveland, Brittany, Gaiser, Sandra, Sahani, Mandeep, Aldrich, Logan, Edmerson, Exodu, Limon, Edmond, Valletta, Cole, Vasquez, Patricia, Provenzano, Christopher, Brar, Navkiranjot, Henderson, Heather, Keith, Bellovich, Khai, Qur, Khairullah, Quresh, Makos, Gail, Topf, Joel, Gasko, Sherry, Henschel, Rosemarie, Knapp, Kaitlin, Kozlowski, Teresa, Lafleur, Paula, Varughese, Ashwathy, Xue, Hui, Wu, Patricia, Arechiga, Olga, Darbeau, Shan, Fechter, Michael, Martinez, Stephanie, Hanson, Lenita, Cooper, Nyla, Madera, Areli, Cadorna, Jay, Sheridan, Rita, Sparks, Helen, Eilerman, Bradley, Bodine, Susanne, Eid, Wael, Flora, Rebecca, Avery, Amber, Hardy, Cashmere, Biscoveanu, Mihaela, Nagelberg, Steven, Cummins, Tracey, Rahbari-Oskoui, Frederic, Oommen, Anju, Forghani, Zohreh, Hitchcock, Stacie, Hosein, Darya, Watkins, Diane, Patel, Minesh, Lambert, Anthony, Newman, Elizabeth, Wood, Autumn, Ross, Tammy, Topping, Stephany, Mulhern, Jeffrey, Murphy, Lorna, Vasseur, Ann, Greenwood, Gregory, Hadley, Alexander, Laurienti, Denise, Marshall, Christopher, Mclean, Nichola, Satko, Scott, Caudill, Brandy, Maris, Jacob, Rogers, Janice, Vanhoy, Cindy, Thomas, George, Nakhoul, George, O'Toole, John, Taliercio, Jonathan, Cooperman, Leslie, Markovic, Marina, Tucky, Barbara, Dev, Devasmita, Hasan, Alia, Yalamanchili, Hima, Jain, Namita, Mcneil, Lesley, Wines, Eric, Park, Jean, Ghazi, Adline, Hamm, Mia, Patel, Teja, Mottl, Amy, Chang, Emily, Derebail, Vimal, Cole, Emmie, Froment, Anne, Kelley, Sara, Osmond Foster, Jordan, Mahabadi, Vahid, Jafari, Golriz, Kamarzarian, Anita, Arriaga, Wendy, Arteaga, Daisy, Machicado, Rosario, Naverrete, Genesi, Kumar, Prashant, Nazeer, Imran, Urquia, Karina, Glider, Tammi, Jones, Vickie, Rucker, Savannah, Wiley, Jennifer, Pandey, Rahul, Arroyo, Jesu, Pariani, Harish, Ahmad, Mohammad, Mozaffari, Shahin, Perez, Erika, Budoff, Matthew, Roy, Sion, Birudaraju, Divya, Ghanem, Ahmed, Hamal, Sajad, Aronoff, Stephen, Joye Petr, Elisa, Sachson, Richard, Wiebel, Jaime, Akram, Sana, Jones, Laurie, Knight, Curti, Tarlac, Maurie, Ahmed, Shahbaz, Szerlip, Harold, Akinfolarin, Akinwande, Mehta, Ankit, Camp, Shana, Castro, Cindy, Cooper, Zanaida, Terry, Jessica, Awad, Ahmed, Kothapalli, Bhavya, Lustig, Ryan, Alfaress, Serine, Jasim, Hyder, Parrigon, Mary, Karounos, Denni, Ahmed, Sadiq, Berry, Maggie, Oremus, Ruth, Hernandez-Cassis, Carlo, Ugwu, Elia, Junejo, Nazia, Suazo, Nancy, Segal, Mark, Kazory, Amir, Brown, Sherry, Daniels, Tristan, Dayi, Sofia, Hogan, Renee, Mccray, Kathy, Stickley, Jennifer, Rahman, Mahboob, Dobre, Mirela, Negrea, Lavinia, Padiyar, Aparna, Pradhan, Nishigandha, Rashidi, Arash, Sarabu, Nagaraju, Donley, Vicki, Young, Tricia, Oguchi, Godson, Onyema, Judepatrick, Damianik, Kahla, Dienes, Jack, Plummer-Morgan, Judith, Roman, Marilyn, Skipper, Mauver, Villaruel, Stacey-Ann, Williams, Krystle, Sugimoto, Danny, Dugas, Jeffrey, Ahmed, Ismeal, Bhairoo, Jamie, Rijos, Dolore, Salim, Huzaifa, Gavrila, Madita, Lafferty, Kathryn, Rabara, Ria, Ruse, Sally, Weetman, Maria, Bushnell, Jame, Power, Albert, Jenkins, Alison, Jones, Stefanie, Scott, Amanda, Byrne, Cath, Jesky, Mark, Cowley, Alison, Mchaffie, Emma, Waterfall, Holly, Taylor, Jo, Bough, Laura, Phillips, Thoma, Winter-Goodwin, Barbara, Phin Kon, Sui, Macdougall, Iain, Lioudaki, Eirini, Shah, Sapna, Sharpe, Claire, Aguilar, Francisco, Hernandez Pena, Abegail, Pugay, Conception, Te, Amelia, Finn, Hugh, Hanif, Wasim, Mostafa, Samiul, Aitken, Alice, Draxlbauer, Katharine, Grobovaite, Evelina, Kearney, Jennifer, Mccarthy, Theresa, Gentile, Giorgio, Browne, Duncan, Chellamuthu, Palanichamy, Dugal, Tabinda, Chant, Terri, Jones, Laura, Laity, Emily, Miners, Megan, Muir, Jame, Swanson, Elizabeth, Frankel, Andrew, Tomlinson, Jame, Alegata, Marlon, Almasarwah, Rashid, Apostolidi, Anthoula, Vourvou, Maria, Walters, Thoma, Taal, Maarten, Dukka, Hari, Kolhe, Nitin, Mcdonald, Carly, White, Kelly, Ugni, Shiva, Gunda, Smita, Oluyombo, Rotimi, Brindle, Vicki, Coutts, Ping, Fuller, Tracy, Nadar, Evelyn, Ramadoss, Suresh, Motherwell, Nichola, Pajak, Susannah, Tonks, Louise, Bhandari, Sunil, Bodington, Richard, Hazara, Adil, Fellowes, Dominic, Wong, Christopher, Goldsmith, Christopher, Barnes, Sherald, Bennett, Ann, Burston, Claire, Hope, Samantha, Hunt, Nicola, Kurian, Lini, Fish, Richard, Farrugia, Daniela, Lee, Judy, Sadler, Emma, Turner, Hannah, Hill, Christopher, Brown, Henry, Masengu, Agne, Maxwell, Peter, Bleakley, Nina, Murtagh, Hugh, Petchey, William, Yiu, Vivian, Kellett, Joanne, Williams, Angharad, Clarke, Helen, Carnall, Victoria, Benyon, Sarah, Blake, Caroline, Estcourt, Stephanie, Piper, Jane, Morgan, Neal, Hutchinson, Carolyn, Mckinley, Teresa, Woodman, Alastair, Graham, Judi, Leonard, Niall, Smyth, John, Adell, Vicki, Hagan, Samantha, Caplin, Ben, Oomatia, Amin, Damian, Eleanor, Sobande, Toluleyi, Doulton, Tim, Delaney, Michael, Montasser, Mahmoud, Hansen, Jenny, Loader, David, Moon, Angela, Morris, France, Sinha, Smeeta, Chukwu, Chukwuma, Hudson, Amy, Campbell, Diane, Kershaw, Melanie, Whittaker, Stephanie, Irtiza-Ali, Ayesha, Ghalli, Farid, Nosseir, Heba, Leslie, Allison, Trivedi, Kate, Fraser, Donald, Alhadj Ali, Mohammad, Griffin, Sian, Latif, Farah, Witczak, Justyna, Wonnacott, Alexa, Jeffers, Lynda, Webley, Yvette, Phelan, Paul, Miller-Hodges, Eve, Geddes, Ailsa, Glenwright, Margaret, Hunter, Amy, Pickett, Thoma, Moriarty, Jim, Hill, Linda, Tyler, Amanda, Ayub, Waqar, Evans, Gail, Hewins, Sue, Hewitt, Davina, Read, Kerry, Bell, Samira, Cosgrove, Leanne, Craik, Rachel, Murray, Shona, Bhandary, Nitin, Coles, Holly, Easow, Rashmi, Joseph, Maya, Khwaja, Arif, Jackson, Yvonne, Mbuyisa, Angeline, Sellars, Rachel, Chitalia, Nihil, Mohandas, Cynthia, Gherman, Anca, Kamundi, Charlotte, Olufuwa, Olumide, Mccafferty, Kieran, Adeleke, Adedolapo, Healy, Cara, Jeyarajah, Damini, Kinsella-Perks, Edward, Smith, Richard, Camilleri, Brian, Buckman, Carol, Finch, Jenny, Rivers, Vanessa, Connor, Andrew, Carr, Sheila, Shainberg, Lisa, Lewington, Andrew, Baker, Richard, Dorey, Suzannah, Tobin, Kay, Wheatley, Rosalyn, Banerjee, Debasish, Hull, Richard, Abat, Sharirose, Paul, Riny, Karim, Mahzuz, Htet, Zay, Tufail, Saad, Varma, Ravi, Convery, Karen, Fottrell-Gould, Deirdre, Hudig, Lisa, Tropman, Emily, Abdul-Samad, Thahir, Grace, Anne, Phipps, Marie, Suckling, Rebecca, Somalanka, Subash, Sood, Bhrigu, Swift, Pauline, Acheampong, Sarah, Ansu, Kwame, Augustin, Martia, Sampson, Anna, Vinall, Lynn, Wren, Kim, Wanninayake, Shamila, Wooding, Nichola, Edwards, Heather, Owen, Lydia, Bolton, Stephanie, Carson, Marion, Matthews, Michael, Brunskill, Nigel, Jesus-Silva, Jorge, Howson, Alex, Quashie-Akponeware, Mary, Tindall, Hilary, Nethaji, Chidambaram, Eldon, Helen, Patel, Rajan, Mark, Patrick, Rankin, Alastair, Sullivan, Michael, Forsyth, Kirsty, Mcdougall, Rowan, Dasgupta, Tanaji, Davies, Louisa, Ryder, Maggie, Grimmer, Philip, Macdonald, Clare, Webster, Mary, Newcastle, Newcastle, Ellam, Timothy, Wong, Edwin, Meshykhi, Christine, Webster, Andrea, Wilson, Peter, Vilar, Enric, Berdeprado, Jocelyn, Doctolero, Eunice, Wilkinson, Lily, Mccarroll, Frank, Ammar, Hesham, Kuan, Ying, Moran, Conor, Shivashankar, Girish, Campbell, Ryan, Glowski, Deborah, Mcdermott, Paula, Ali, Amar, Patel, Zuber, Bond, Christine, Whalley, Gillian, Zhang, Haitao, Yang, Liu, Zhang, Lihua, Kan, Tingting, Zhu, Ling, Zhao, Jinghong, Hou, Weiping, Wu, Jing, Cheng, Hong, Bian, Weijing, Zhao, Zhirui, Shao, Fengmin, Cao, Huixia, Jiao, Xiaojing, Niu, Peiyuan, Niu, Jianying, Chen, Yu, Zhang, Lihong, Zhu, Shenglang, Lin, Haiyan, Yao, Shaopeng, Chen, Jiehui, Jiang, Ying, Hu, Ying, Xiao, Huaying, Yang, Fuye, Zhang, Xinzhou, Guo, Baochun, Jin, Qiu, Liu, Lixia, Xiao, Xiangcheng, Xie, Yanyun, Meng, Ting, Xu, Chuanwen, Huang, Jie, Xu, Yanmei, Kong, Weixin, Wang, Xiaoliang, Liu, Qianpan, Wang, Xueying, Gao, Ming, Hu, Xiumei, Lu, Ying, Wang, Li, Peng, Kun, Wang, Wei, Gong, Qiuhong, Cai, Jianfang, Li, Xiaojue, Liu, Xuejiao, Zhou, Shuhan, Liu, Hong, Weng, Yao, Tang, Shuai, Yao, Yao, Zhao, Shi, Cheng, Chen, Wei, Wei, Li, Na, Aqashiah Mazlan, Sadanah, Zubaidah Bahtar, Alia, Katiman, Elliyyin, Othman, Noraini, Mushahar, Lily, Mazlan, Nurdiana, Sharafina Safiee, Nur, Ramasamy, Sarasa, Seng Wong, Hin, Ahmad Rosdi, Hajar, Zhao Zhi Tan, Esther, Fan Tay, Ju, Seng Teng, Kok, Yahaya, Hasnah, Jiun Liu, Wen, Wee Ee, Lik, Kay Leong Khoo, Kenneth, Mohd Yusoff, Yuana, Safhan Mohamad Nor, Fariz, Kamil Ahmad, Mohd, Ramli Seman, Mohd, Hui Hong Tan, Clare, Lui Sian Ngu, Laura, Yoke May Chan, Jaime, Peji, Javelin, Loong Loh, Chek, Yan Lee, Yee, Ramanaidu, Sridhar, Mean Thong, Kah, Hong Wong, Yik, Junus, Suria, Hua Ching, Chen, Faisal Asmee, Mohammad, Ruziana Ku Md Razi, Ku, Leong Low, Chun, Sze Bing Sim, Christopher, Duan Tham, Zhang, Kamila Abdullah, Noor, Meng Chen, Tai, Chieh Chan, Yong, Chang, Eason, Yean Kang, Huan, Quan Lee, Kai, Ann Lee, Sue, Kheng Lee, Aik, Vinathan, Jeevika, Abdul Cader, Rizna, Mustafar, Ruslinda, Kamaruzaman, Lydia, Mohd, Rozita, Ismail, Rahimah, Men Leong, Chong, Koon Low, Chee, Wei Wong, Liang, Adnan, Norlezah, Ibrahim, Sabariah, Zaimi Abdul Wahab, Mohamad, Bavanandan, Sunita, Shen Lim, Yik, Hazlina Wan Mohamad, Wan, Munirah Jaafar, Siti, Ashykeen Mohd Fauzi, Nur, Sudin, Aziee, Kun Lim, Soo, Chung Gan, Chye, Hing, Albert, Ahmad Faizal Alaidin Razali, Wan, Fong Liew, Yew, Bao Tyng Chan, Chelsia, Chih Cheng, Mei, Chen Ong, Yu, Meng Ong, Loke, Amalina Mohamed Affandi, Farah, Rahmat, Korina, Chai Peng, Ban, Amat, Masayu, Hadafi Ahmad, Nuzaimin, Yee Mah, Doo, Loon Tye, Yi, Azhari, Zaid, Nabilah Mohamad Zaini, Siti, Aidil Musa, Mohd, Ahmad Miswan, Norazinizah, Ramli, Rafizanur, Aziah Ahmad, Nor, Leong Goh, Bak, Izah Ahmad, Nurul, Huda Ibrahim, Fairol, Jian Ng, Tze, Shanmuganathan, Malini, Lian Tay, Li, Harun, Zaiha, Ramli, Salmi, 'Ain Yusof, Nurul, Abd Rahman, Rossenizal, Iqbal Abdul Hafidz, Muhammad, Hidayati Mohd Sharif, Nur, Yasmoon Awang, Irda, Nakashima, Eitaro, Imamine, Rui, Minatoguchi, Makiko, Miura, Yukari, Nakaoka, Miduki, Suzuki, Yoshiki, Yoshikawa, Hitomi, Shin, Koki, Fujita, Kanae, Iwasa, Misuzu, Sasajima, Haruka, Sato, Airi, Hamamoto, Yoshiyuki, Fujita, Yuki, Haraguchi, Takuya, Hyo, Takanori, Izumi, Kiyohiro, Komiya, Toshiyuki, Kubota, Sodai, Kurose, Takeshi, Kuwata, Hitoshi, Nakatani, Susumu, Oishi, Kaori, Okamoto, Saki, Okamura, Kaori, Takeoka, Jun, Tanaka, Nagaaki, Tanigaki, Katsuya, Toda, Naohiro, Watanabe, Koin, Komori, Hiromi, Kumuji, Rika, Takesada, Asako, Tanaka, Aya, Maruyama, Shoichi, Hasegawa, Tomonori, Ishiguro, Akiko, Ishimoto, Takuji, Ito, Kazuhiro, Kamimura, Yutaka, Kato, Noritoshi, Kato, Sawako, Kojima, Hiroshi, Kosugi, Tomoki, Maeda, Kayaho, Mizuno, Masasi, Saito, Shoji, Sato, Hitomi, Sato, Yuka, Suzuki, Yasuhiro, Tanaka, Akihito, Yasuda, Yoshinari, Hasegawa, Fujiko, Hayashi, Maiko, Higashi, Shizuka, Shimamura, Kaho, Sumi, Momoko, Tajima, Kazuki, Unekawa, Chimaki, Wakayama, Kana, Wakita, Yukiko, Otani, Takatoshi, Imai, Ayako, Kawashima, Sayaka, Kogure, Eri, Sato, Tomoe, Takezawa, Misato, Yoshida, Shinya, Araki, Hideo, Katsuda, Yuko, Konishi, Masahiro, Matsunaga, Takahiro, Oe, Masashi, Ogane, Kunihiro, Sakai, Masato, Takahashi, Tomoko, Yamano, Takahiro, Yokoyama, Takuya, Ito, Hitomi, Katayama, Masayo, Kuroda, Emi, Ikeda, Toru, Kojo, Takuma, Yoshidome, Etsuo, Mizumachi, Rieko, Yamamoto, Akane, Yamasaki, Narihisa, Yamasaki, Yoshihiko, Wada, Jun, Eguchi, Jun, Higuchi, Chigusa, Katayama, Akihiro, Kinomura, Masaru, Kitagawa, Masashi, Kitamura, Shinji, Miyamoto, Satoshi, Morinaga, Hiroshi, Nakatsuka, Atsuko, Nojima, Ichiro, Shikata, Kenichi, Sugiyama, Hitoshi, Tanabe, Katsuyuki, Tsuji, Kenji, Uchida, Haruhito, Watanabe, Mayu, Hashimoto, Chie, Kato, Takahiro, Yamamoto, Sayaka, Wada, Takehiko, Fukagawa, Masafumi, Hamano, Naoto, Koizumi, Masahiro, Komaba, Hirotaka, Nakagawa, Yosuke, Iwamoto, Michiyo, Masutani, Kosuke, Katanosaka, Akane, Kiyota, Mayu, Uchi, Hikari, Ueda, Yuka, Yamamoto, Sonoka, Nagasu, Hajime, Itano, Seiji, Iwakura, Tsukasa, Kadoya, Hiroyuki, Kanda, Eiichiro, Kashihara, Naoki, Kidokoro, Kengo, Kondo, Megumi, Sasaki, Tamaki, Satoh, Minoru, Tokuyama, Atsuyuki, Umeno, Reina, Wada, Yoshihisa, Yamamoto, Toshiya, Yamanouchi, Yu, Abe, Masumi, Inukai, Yoko, Ogawa, Wataru, Asahara, Shunichiro, Fujii, Hideki, Goto, Shunsuke, Hirota, Yushi, Hosooka, Tetsuya, Kono, Keiji, Nishi, Shinichi, Okada, Yuko, Sakaguchi, Kazuhiko, Sugawara, Kenji, Takahashi, Michiko, Takai, Tomoko, Tamori, Yoshikazu, Watanabe, Kentaro, Kitajima, Miyu, Nishi, Misaki, Wada, Junko, Ito, Yasuhiko, Kamiya, Hideki, Asai, Akimasa, Asai, Nao, Asano, Saeko, Banno, Shogo, Ejima, Yohei, Hase, Hanako, Hayami, Tomohide, Himeno, Tatsuhito, Ishikawa, Takahiro, Ito, Mayumi, Iwagaitsu, Shiho, Kasagi, Rina, Kato, Yoshiro, Kato, Makoto, Kato, Koichi, Katsuno, Takayuki, Kawai, Miyuka, Kinashi, Hiroshi, Kondo, Masaki, Koshino, Masako, Matsuoka, Naoya, Morishita, Yoshiaki, Motegi, Mikio, Nakamura, Jiro, Shimoda, Hiromi, Sugiyama, Hirokazu, Tsunekawa, Shin, Yamaguchi, Makoto, Takahashi, Kazuyo, Watada, Hirotaka, Funayama, Takashi, Furukawa, Yasuhiko, Gohda, Tomohito, Goto, Hiromasa, Kaga, Hideyoshi, Kanaguchi, Yasuhiko, Kanazawa, Akio, Kaneko, Kayo, Kano, Toshiki, Kihara, Masao, Kimura, Shogo, Kobayashi, Takashi, Maiguma, Masayuki, Makita, Yuko, Mano, Satoshi, Mita, Tomoya, Miyatsuka, Takeshi, Murakoshi, Maki, Muto, Masahiro, Nakata, Masami, Nakata, Junichiro, Nishida, Yuya, Nohara, Nao, Ogihara, Takeshi, Sato, Daisuke, Sato, Junko, Sato, Hiroaki, Suzuki, Yusuke, Suzuki, Ruka, Suzuki, Hitoshi, Takagi, Miyuki, Tamura, Yoshifumi, Uchida, Toyoyoshi, Ueda, Seiji, Asawa, Miki, Miyaji, Minako, Nagashima, Eri, Shibata, Yoshie, Yanagisawa, Eri, Yamauchi, Toshimasa, Hirakawa, Yosuke, Nishi, Hiroshi, Shojima, Nobuhiro, Horikawa, Satoko, Nakayama, Yukiko, Yamada, Naoko, Omori, Yuki, Yano, Shintaro, Ioka, Miyabi, Kuwabara, Nahoko, Nagano, Remi, Nozawa, Megumi, Osawa, Yumi, Maegawa, Hiroshi, Kume, Shinji, Araki, Shinichi, Miyazawa, Itsuko, Morino, Katsutaro, Kawai, Ikuko, Sobata, Masumi, Takaoka, Motoko, Iwaita, Yasushi, Udagawa, Takashi, Inamori, Ami, Kawase, Aya, Yamanaka, Aya, Shimano, Hitoshi, Fujita, Akiko, Iwasaki, Hitoshi, Kai, Hirayasu, Osaki, Yoshinori, Saito, Chie, Sekiya, Motohiro, Tsunoda, Ryoya, Yamagata, Kunihiro, Nakamura, Rikako, Yamada, Aiko, Ohsugi, Mitsuru, Awazawa, Motoharu, Bouchi, Ryotaro, Hashimoto, Shota, Hashimoto, Makiko, Hisatake, Tomoko, Ihana, Noriko, Ishizuka, Koko, Izumi, Kazuo, Kajio, Hiroshi, Kobayashi, Michi, Kodani, Noriko, Maruyama, Koji, Matsumoto, Michihiro, Matsushita, Maya, Nakamura, Tomoka, Sugiyama, Takehiro, Tanabe, Akiyo, Terakawa, Aiko, Ueki, Kojiro, Orimo, Yuko, Ozawa, Takako, Takahira, Eriko, Yamasaki, Yoshimitsu, Haneda, Masakazu, Tomita, Tadahiro, Akimoto, Saori, Fujimoto, Akihiro, Ishihara, Kenji, Murakami, Chiho, Nishiyama, Akiyo, Toyonaga, Yukiko, Uozumi, Kana, Yamaji, Yukihiro, Shigehara, Tetsuya, Okajyo, Jun, Shimizu, Yukihiro, Iwasaki, Shingo, Fukao, Yuki, Furusho, Megumi, Nunokawa, Shintaro, Katagiri, Hideki, Izumi, Tomohito, Kaneko, Keizo, Kodama, Shinjiro, Miyazaki, Mariko, Munakata, Yuichiro, Nagasawa, Tasuku, Oe, Yuji, Sugawara, Hiroto, Takahashi, Kei, Hirata, Kazushige, Inomata, Keiko, Otomo, Shoko, Uchida, Taeko, Yamashita, Chigusa, Kiyosue, Arihiro, Tamura, Ryota, Dube, Francoi, Bolduc, Marilene, Talbot, Marie-Christine, Cham, Leslie, Lai, Vesta, Tse, Josephine, Jolly, Shivinder, Duck, Tabbatha, Lyle, Scott, Epp, Rachel, Galloway, Camille, Haskett, Susan, Matvienko, Elizabeta, Paulsen, Liam, Moist, Louise, Lozon, Zabrina, Ramsey, Tina, Whitmore, Brittany, Al-Zeer, Bader, Macleod, Paula, O'Sullivan, Aoife, Sheriff, Zainab, Tholl, Sam, Pandey, Amritanshu, Armstrong, Samantha, Gebeyehu, Bethelihem, Toth, Patrick, Goldenberg, Ronald, Jahangiriesmaili, Mahsa, Sanguila, Shariff, Suresh, Neethi, Talsania, Tanvi, Zalunardo, Nadia, Agharazii, Mohsen, Roussel, Marie-Pier, Saillant, Annie, Samson, France, Bajaj, Harpreet, Bhavsar, Miken, Dhall, Parul, Dhillon, Gagandeep, Grewal, Bhupinder, Nimbkar, Taniya, Madore, Francoi, Marcotte, Guylaine, Steen, Oren, Bullen, Mathura, Raguwaran, Shayani, Valleteau, Andre, Langlois, Marie-France, Brown, Christine, Steele, Andrew, Garrity, Melissa, Ghate, Taneera, Robinson, Holly, Tolibas, Michael, Tailor, Chetna, Elliott, Lauren, McClary-Wright, Christine, Boreky, Fadia, Fikry, Sameh, Ali, Ayesha, Barot, Chintankumar, Basily, Wagdy, Saram, Thisun, Varad, Vinay, Khandwala, Hasnain, Aguilera, Alex, Alvarez, Patricia, Gill, Balwinder, Huda, Nazihah, Navivala, Aamir, Pinto, Daniel, Bevilacqua, Micheli, Fung, Elaine, Hernandez, Geraldine, Mann, Puneet, Saini, Jaskiran, Rabasa-Lhoret, Remi, Bovan, Danijela, Devaux, Marie, Barnini, Cecilia, Leoncini, Giovanna, Manco, Luca, Nobili, Giulia, Piemontese, Matteo, Aucella, Filippo, Grifa, Rachele, Totaro, Francesco, La Manna, Gaetano, Capelli, Irene, Cianciolo, Giuseppe, Lerario, Sarah, Zappulo, Fulvia, Rosati, Alberto, Fani, Filippo, Spatoliatore, Giuseppe, Gesualdo, Loreto, Pesce, Francesco, Russo, Maria, Zippo, Maria, Cafiero, Cesira, Motta, Daria, Bianco, Simona, Bilucaglia, Donatella, Messa, Piergiorgio, Pavone, Laura, Tripodi, Federica, Vettoretti, Simone, Fioretto, Paola, Carraro, Gianni, Farnia, Filippo, Postal, Anna, D'Amelio, Alessandro, Cardone, Antonio, Piccinni, Giovanni, Aloisi, Annalisa, Scolari, Francesco, Alberici, Federico, Guerini, Alice, Saccà, Chiara, Salviani, Chiara, Zani, Roberta, DE NICOLA, Luca, Garofalo, Carlo, Elena Liberti, Maria, Minutolo, Roberto, Pennino, Luigi, Polese, Lucio, Mené, Paolo, Barberi, Simona, Falcone, Clorinda, Russo, Francesco, Caroppo, Maurizio, Santorelli, Gennaro, Rivera, Rodolfo, Santoro, Domenico, Giuffrida, Alfio, Zirino, Fortunata, Calvi, Cristina, Estienne, Luca, Gambaro, Giovanni, Gangemi, Concetta, Ortalda, Vittorio, Pessolano, Giuseppina, Grandaliano, Giuseppe, Baccaro, Rocco, Ferraro, Pietro, Mangiacapra, Roberto, Melandri, Marco, Foligno, Nadia, Quartagno, Rita, Vezzoli, Giuseppe, Brioni, Elena, and Group, EMPA-KIDNEY Collaborative
- Subjects
chronic renal disease ,empagliflozin ,empa-kidney ,General Medicine - Abstract
Background The effects of empagliflozin in patients with chronic kidney disease who are at risk for disease progression are not well understood. The EMPA-KIDNEY trial was designed to assess the effects of treatment with empagliflozin in a broad range of such patients. Methods We enrolled patients with chronic kidney disease who had an estimated glomerular filtration rate (eGFR) of at least 20 but less than 45 ml per minute per 1.73 m2 of body-surface area, or who had an eGFR of at least 45 but less than 90 ml per minute per 1.73 m2 with a urinary albumin-to-creatinine ratio (with albumin measured in milligrams and creatinine measured in grams) of at least 200. Patients were randomly assigned to receive empagliflozin (10 mg once daily) or matching placebo. The primary outcome was a composite of progression of kidney disease (defined as end-stage kidney disease, a sustained decrease in eGFR to Results A total of 6609 patients underwent randomization. During a median of 2.0 years of follow-up, progression of kidney disease or death from cardiovascular causes occurred in 432 of 3304 patients (13.1%) in the empagliflozin group and in 558 of 3305 patients (16.9%) in the placebo group (hazard ratio, 0.72; 95% confidence interval [CI], 0.64 to 0.82; PConclusions Among a wide range of patients with chronic kidney disease who were at risk for disease progression, empagliflozin therapy led to a lower risk of progression of kidney disease or death from cardiovascular causes than placebo. (Funded by Boehringer Ingelheim and others; EMPA-KIDNEY ClinicalTrials.gov number, NCT03594110. opens in new tab; EudraCT number, 2017-002971-24. opens in new tab.)
- Published
- 2023
39. Why do reporters all look the same?
- Author
-
Michael Hill
- Subjects
General Medicine - Published
- 2022
- Full Text
- View/download PDF
40. Oxidized phospholipids on apolipoprotein B-100 versus plasminogen and risk of coronary heart disease in the PROCARDIS study
- Author
-
Robert Clarke, Imen Hammami, Paul Sherliker, Elsa Valdes-Marquez, Hugh Watkins, Michael Hill, Xiaohong Yang, Sotirios Tsimikas, and Jemma C. Hopewell
- Subjects
Apolipoprotein B-100 ,Humans ,Coronary Disease ,Plasminogen ,Cardiology and Cardiovascular Medicine ,Oxidation-Reduction ,Phospholipids ,Apolipoproteins B ,Lipoprotein(a) - Abstract
Oxidized phospholipids carried on the apolipoprotein B-100 (OxPL-apoB) component of Lp(a) are predictive of coronary heart disease (CHD), but the role of oxidized phospholipids carried on plasminogen (OxPL-PLG) is unknown. We examined the independent effects of OxPL-apoB and OxPL-PLG for risk of CHD before and after adjustment for Lp(a).Plasma levels of OxPL-apoB, OxPL-PLG, plasminogen and Lp(a) were measured in the PROCARDIS study of early-onset CHD (906 cases/858 controls). Multivariable logistic regression was used to estimate the odds ratios (OR) for each biomarker with CHD after adjustment for established risk factors.Mean levels of OxPL-apoB were higher in cases than controls, but levels of OxPL-PLG and plasminogen were similar. For OxPL-apoB, individuals in the top vs bottom fifth had 2-fold higher age and sex-adjusted OR of CHD (OR = 2.61 [95%CI: 1.91, 3.55]), which were partially attenuated after adjustment for established risk factors. The findings for OxPL-apoB and CHD in PROCARDIS were comparable with those of a meta-analysis of all such studies. However, the associations of OxPL-apoB with CHD were fully attenuated by additional adjustment for Lp(a) (OR = 0.93 [0.54,1.60]). Neither OxPL-PLG nor plasminogen were associated with CHD. Overall, there were no differences in the predictive value for CHD of high vs normal levels (20th or80th percentile) of OxPL-apoB, OxPL-PLG, plasminogen or Lp(a) after stratifying for each other.These results highlight the context-dependency of OxPL in plasma and suggest that their associated risk of CHD is chiefly mediated by their carriage on Lp(a).
- Published
- 2022
- Full Text
- View/download PDF
41. Online Learning, Offline Outcomes: Online Course Taking and High School Student Performance
- Author
-
Cassandra M. D. Hart, Dan Berger, Brian Jacob, Susanna Loeb, and Michael Hill
- Subjects
Education - Abstract
This article uses fixed effects models to estimate differences in contemporaneous and downstream academic outcomes for students who take courses virtually and face-to-face—both for initial attempts and for credit recovery. We find that while contemporaneous outcomes are positive for virtual students in both settings, downstream outcomes vary by attempt type. For first-time course takers, virtual course taking is associated with decreases in the likelihood of taking and passing follow-on courses and in graduation readiness (based on a proxy measure). For credit recovery students, virtual course taking is associated with an increased likelihood of taking and passing follow-on courses and being in line for graduation. Supplemental analyses suggest that selection on unobservables would have to be substantial to render these results null.
- Published
- 2019
- Full Text
- View/download PDF
42. A conservative generalized multiscale finite volume/element method for modeling two-phase flow with capillary pressure.
- Author
-
Michael Presho and Michael Hill
- Published
- 2021
- Full Text
- View/download PDF
43. The potential role of matrix metalloproteinases on reducing small artery stiffness and improving vasodilation in old spontaneously hypertensive rats
- Author
-
Marc Augenreich, Thomas Jurrissen, Francisco Ramirez-Perez, Jorge Castorena-Gonzalez, Mariana Morales-Quinones, Christopher Foote, Zahra Nourian, Olubodun Lateef, Luke Sun, Michael Hill, Gerald Meininger, Jaume Padilla, and Luis Martinez-Lemus
- Subjects
Physiology - Abstract
Arterial stiffening is a major risk factor for cardiovascular disease development and progression. Both hypertension and aging are associated with presence of microcirculation endothelial dysfunction, hypercontractility, and vascular stiffening. Reports suggest that while hypertension results in inward remodeling, aging is associated with either no changes in internal diameter or outward remodeling with or without increases in wall thickness. Herein, we hypothesized that small arteries from old spontaneously hypertensive rats (SHR) would be inwardly remodeled and stiffer than old normotensive Wistar Kyoto (WKY) rats due to aggravated endothelial dysfunction, hypercontractility, and an increased presence of vascular smooth muscle stress fibers and collagen to elastin ratios. We further hypothesized that these characteristics would be associated with reduced expression of matrix metalloproteinases (MMPs). These hypotheses were tested in mesenteric arteries isolated from 88-week-old SHR and WKY rats. All reported differences are significant at P NIH HL-088105-02 to LAM-L This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.
- Published
- 2023
- Full Text
- View/download PDF
44. Preparing for 6G: Developing best practices and standards for industrial measurements of low-loss dielectrics
- Author
-
Lucas Enright, Marzena Olszewska-Placha, Michael Hill, Say Phommakesone, Daisuke Kato, Charles A. Hill, Hanna Kähäri, Chiawen Lee, Chang-Sheng Chen, Nathan D. Orloff, Malgorzata Celuch, and Urmi Ray
- Published
- 2023
- Full Text
- View/download PDF
45. Introduction to Number Theory
- Author
-
Richard Michael Hill
- Published
- 2017
46. Advances in Stroke: Treatments-Acute
- Author
-
Joseph Broderick and Michael Hill
- Subjects
Stroke ,Advanced and Specialized Nursing ,Treatment Outcome ,Humans ,Neurology (clinical) ,Cardiology and Cardiovascular Medicine ,Thrombectomy - Published
- 2022
- Full Text
- View/download PDF
47. Electrochemical clearing of rabbit cornea post-acidic and alkaline injury
- Author
-
Katelyn Dilley, Theodore V. Nguyen, Naya Sterritt, Ila Youssefi, Milind Vasudev, Clara Chao, Zhongping Chen, Michael Hill, and Brian J. F. Wong
- Published
- 2023
- Full Text
- View/download PDF
48. Diabetes and infectious disease mortality in Mexico City
- Author
-
Fiona Bragg, Pablo Kuri-Morales, Jaime Berumen, Adrián Garcilazo-Ávila, Carlos Gonzáles-Carballo, Raúl Ramírez-Reyes, Rogelio Santacruz-Benitez, Diego Aguilar-Ramirez, Louisa Gnatiuc Friedrichs, William G Herrington, Michael Hill, Eirini Trichia, Rachel Wade, Rory Collins, Richard Peto, Jonathan R Emberson, Jesus Alegre-Diaz, and Roberto Tapia-Conyer
- Subjects
Endocrinology, Diabetes and Metabolism - Abstract
IntroductionAlthough higher risks of infectious diseases among individuals with diabetes have long been recognized, the magnitude of these risks is poorly described, particularly in lower income settings. This study sought to assess the risk of death from infection associated with diabetes in Mexico.Research design and methodsBetween 1998 and 2004, a total of 159 755 adults ≥35 years were recruited from Mexico City and followed up until January 2021 for cause-specific mortality. Cox regression yielded adjusted rate ratios (RR) for death due to infection associated with previously diagnosed and undiagnosed (HbA1c ≥6.5%) diabetes and, among participants with previously diagnosed diabetes, with duration of diabetes and with HbA1c.ResultsAmong 130 997 participants aged 35–74 and without other prior chronic diseases at recruitment, 12.3% had previously diagnosed diabetes, with a mean (SD) HbA1c of 9.1% (2.5%), and 4.9% had undiagnosed diabetes. During 2.1 million person-years of follow-up, 2030 deaths due to infectious causes were recorded at ages 35–74. Previously diagnosed diabetes was associated with an RR for death from infection of 4.48 (95% CI 4.05–4.95), compared with participants without diabetes, with notably strong associations with death from urinary tract (9.68 (7.07–13.3)) and skin, bone and connective tissue (9.19 (5.92–14.3)) infections and septicemia (8.37 (5.97–11.7)). In those with previously diagnosed diabetes, longer diabetes duration (1.03 (1.02–1.05) per 1 year) and higher HbA1c (1.12 (1.08–1.15) per 1.0%) were independently associated with higher risk of death due to infection. Even among participants with undiagnosed diabetes, the risk of death due to infection was nearly treble the risk of those without diabetes (2.69 (2.31–3.13)).ConclusionsIn this study of Mexican adults, diabetes was common, frequently poorly controlled, and associated with much higher risks of death due to infection than observed previously, accounting for approximately one-third of all premature mortality due to infection.
- Published
- 2023
49. Identification of host-pathogen-disease relationships using a scalable multiplex serology platform in UK Biobank
- Author
-
Gil McVean, Adrian Cortes, Simon Sheard, Alexander J. Mentzer, Hill Avs., Thomas J. Littlejohns, Naomi E. Allen, Nicole Brenner, R Almond, Tim Waterboer, Rory Collins, Michael Hill, and Amanda Y. Chong
- Subjects
Hepatitis ,0303 health sciences ,medicine.medical_specialty ,education.field_of_study ,business.industry ,Population ,Disease ,medicine.disease ,medicine.disease_cause ,Biobank ,3. Good health ,Serology ,03 medical and health sciences ,0302 clinical medicine ,030220 oncology & carcinogenesis ,Epidemiology ,Immunology ,Medicine ,Seroprevalence ,business ,education ,Chlamydia trachomatis ,030304 developmental biology - Abstract
BackgroundCertain infectious agents are recognised causes of cancer and potentially other chronic diseases. Identifying associations and understanding pathological mechanisms involving infectious agents and subsequent chronic disease risk will be possible through measuring exposure to multiple infectious agents in large-scale prospective cohorts such as UK Biobank.MethodsFollowing expert consensus we designed a Multiplex Serology platform capable of simultaneously measuring quantitative antibody responses against 45 antigens from 20 infectious agents implicated in non-communicable diseases, including human herpes, hepatitis, polyoma, papilloma, and retroviruses, as well asChlamydia trachomatis, Helicobacter pyloriandToxoplasma gondii. This panel was assayed in a random subset of UK Biobank participants (n=9,695) to test associations between infectious agents and recognised demographic and genetic risk factors and disease outcomes.FindingsSeroprevalence estimates for each infectious agent were consistent with those expected from the literature. The data confirmed epidemiological associations of infectious agent antibody responses with sociodemographic characteristics (e.g. lifetime sexual partners withC, trachomatis;P=1·8×10−149), genetic variants (e.g. rs6927022 with Epstein-Barr virus (EBV) EBNA1 antibodies,P=9·5×10−91) and disease outcomes including human papillomavirus-16 seropositivity and cervical intraepithelial neoplasia (odds ratio 2·28, 95% confidence interval 1·38-3·63), and quantitative EBV viral capsid antigen responses and multiple sclerosis through genetic correlation (MHC rG=0·30,P=0·01).InterpretationThis dataset, intended as a pilot study to demonstrate applicability of Multiplex Serology in epidemiological studies, is itself one of the largest studies to date covering diverse infectious agents in a prospective UK cohort including those traditionally under-represented in population cohorts such as human immunodeficiency virus-1 andC. trachomatis. Our results emphasise the validity of our Multiplex Serology approach in large-scale epidemiological studies opening up opportunities for improving our understanding of host-pathogen-disease relationships. These data are available to researchers interested in examining the relationship between infectious agents and human health.
- Published
- 2023
50. Transchromatic extensions in motivic bordism
- Author
-
Agnès Beaudry, Michael Hill, XiaoLin Danny Shi, and Mingcong Zeng
- Subjects
Algebra and Number Theory ,Discrete Mathematics and Combinatorics ,Geometry and Topology ,Analysis - Abstract
We show a number of Toda brackets in the homotopy of the motivic bordism spectrum M G L MGL and of the Real bordism spectrum M U R MU_{\mathbb R} . These brackets are “red-shifting” in the sense that while the terms in the bracket will be of some chromatic height n n , the bracket itself will be of chromatic height ( n + 1 ) (n+1) . Using these, we deduce a family of exotic multiplications in the π ( ∗ , ∗ ) M G L \pi _{(\ast ,\ast )}MGL -module structure of the motivic Morava K K -theories, including non-trivial multiplications by 2 2 . These in turn imply the analogous family of exotic multiplications in the π ⋆ M U R \pi _{\star }MU_\mathbb R -module structure on the Real Morava K K -theories.
- Published
- 2023
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.