Lee Paul H, Guyatt Anna L, John Catherine, Ali Altaf, Wang Xueyang, Williams Alexander T, Zhao Bo, Batini Chiara, Bee Catherine, Adams Emma, Melbourne Carl A, Brightling Christopher E, Hsu Ron, Bethea Jane, Reeve Nicola, Ntalla Ioanna, Terry Sarah, Pareek Manish, Brunskill Nigel J, Barwell Julian, Hollox Edward J, Miola Jose, Wallace Susan E, Shepherd David J, Packer Richard, Venn Laura, Wain Louise V, Free Robert C, Tobin Martin D
Department of Health Sciences, University of Leicester, Leicester, UK.
NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK.
Wellcome Open Res. 2021 Dec 16;6:349. doi: 10.12688/wellcomeopenres.17437.1. eCollection 2021.
New data collection in established longitudinal population studies provides an opportunity for studying the risk factors and sequelae of the novel coronavirus disease 2019 (COVID-19), plus the indirect impacts of the COVID-19 pandemic on wellbeing. The Extended Cohort for E-health, Environment and DNA (EXCEED) cohort is a population-based cohort (N>11,000), recruited from 2013 in Leicester, Leicestershire and Rutland. EXCEED includes consent for electronic healthcare record (EHR) linkage, spirometry, genomic data, and questionnaire data. Between May 2020 and July 2021, a new questionnaire was deployed in EXCEED, which captured COVID-19 symptoms, general physical and mental health, plus socioeconomic and environmental factors during the pandemic. An online system was developed to invite new participants to join EXCEED, with informed consent being provided online. New and existing participants then completed the COVID-19 questionnaire online. A subset of the new questionnaire respondents were invited to participate in COVID-19 serology substudies, using home antibody testing kits. In total, 3,693 participants provided COVID-19 infection status (median age 62.9 (IQR 54.7-69.2), 58.9% female). Trends of monthly incidence proportions of COVID-19 in EXCEED (self-report or symptom-predicted) approximated local and national figures. Regression analysis of 2,768 participants with linked EHR data showed no obvious monotonic relationship between number of chronic diseases (of 16 pre-specified diseases) and COVID-19 infection. There were 2,144 participants with valid results from a kit allowing differentiation between antibodies due to vaccination or infection. Of these, 8.5% had results consistent with previous COVID-19 infection, and 85.9% had evidence of COVID-19 vaccination, but without evidence of infection. Enriching EXCEED with a new COVID-19 questionnaire and serology data may improve understanding of the risk factors, clinical sequelae and broader impacts of the COVID-19 pandemic in the general population. Controlled access to these data for bona fide researchers is via application to the EXCEED study.
在已建立的纵向人群研究中收集新数据，为研究2019年新型冠状病毒病（COVID-19）的风险因素和后遗症，以及COVID-19大流行对健康的间接影响提供了机会。电子健康、环境与DNA扩展队列（EXCEED）是一个基于人群的队列（N>11,000），于2013年在莱斯特、莱斯特郡和拉特兰招募。EXCEED包括对电子健康记录（EHR）链接、肺活量测定、基因组数据和问卷数据的同意。在2020年5月至2021年7月期间，EXCEED中部署了一份新问卷，该问卷收集了COVID-19症状、总体身心健康状况，以及大流行期间的社会经济和环境因素。开发了一个在线系统，邀请新参与者加入EXCEED，并在线提供知情同意书。新参与者和现有参与者随后在线完成了COVID-19问卷。新问卷的一部分受访者被邀请使用家用抗体检测试剂盒参与COVID-19血清学子研究。共有3693名参与者提供了COVID-19感染状况（中位年龄62.9（四分位距54.7 - 69.2），58.9%为女性）。EXCEED中COVID-19的月发病率比例趋势（自我报告或症状预测）与当地和全国数据相近。对2768名有链接EHR数据的参与者进行的回归分析显示，（16种预先指定的疾病中的）慢性病数量与COVID-19感染之间没有明显的单调关系。有2144名参与者的试剂盒检测结果有效，能够区分疫苗接种或感染产生的抗体。其中，8.5%的结果与先前的COVID-19感染一致，85.9%有COVID-19疫苗接种证据，但无感染证据。用新的COVID-19问卷和血清学数据丰富EXCEED，可能会增进对COVID-19大流行在普通人群中的风险因素、临床后遗症和更广泛影响的理解。真正的研究人员可通过申请EXCEED研究来获得对这些数据的受限访问权限。
