Characterisation, determinants, mechanisms and consequences of the long-term effects of COVID-19: providing the evidence base for health care

COVID-19 长期影响的特征、决定因素、机制和后果：为医疗保健提供证据基础

• 批准号: MC_PC_20051
• 负责人: Nishi Chaturvedi
• 金额: $ 611.23万
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Intramural
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=MC_PC_20051
• 关键词: Characterisation; determinants; mechanisms; consequences; long

We will address the following patient defined questions: What is long-COVID and how is it diagnosed? Why have I got long-COVID? What effects will long-COVID have on my health, ability to work and family? What are my chances of recovery? How will this research ensure I am getting the right treatment and support for long-COVID? Physical and mental health consequences of C-19 infection, termed long-COVID, occur frequently. Our understanding of long-COVID, including how best to diagnose, risk factors, health and economic consequences, is poor, limiting efforts to help people. We will use a combination of national anonymised linked primary care electronic health records, and longitudinal studies of people of all ages across the country. We have asked participants about C-19 infections, long-COVID symptoms, and have collected health and socioeconomic information for many years before the pandemic. From these studies, we will ask people reporting long-COVID, and comparator groups, to wear a wrist band measuring exercise ability, breathing, and heart rate, and complete online questionnaires on mental health and cognitive function. They will also be invited to clinic for non-invasive imaging to look at potential damage to vital organs, such as the brain, lungs and heart. Patients, members of the public overseeing electronic health record research, and study members have been involved in shaping the research questions, and will be consulted for the duration of the project. In addition, people with long-COVID and their families, from the studies, will be involved in shaping the diagnostic tools for long-COVID, and aiding our understanding of determinants of recovery, and responses to therapy. We will share findings with bodies involved in guidelines (NICE, who are also part of this project), with government (via the publications).

我们将解决以下患者定义的问题：什么是长期浮动，如何诊断？我为什么要长时间旋转？长期兴奋的影响会对我的健康，工作能力和家庭产生什么影响？我的康复机会是什么？这项研究将如何确保我得到正确的治疗和对长期兴奋的支持？ C-19感染的身心健康后果经常发生。我们对长期循环的理解，包括如何最好地诊断，危险因素，健康和经济后果，是不良的，限制了帮助人们的努力。我们将结合国家匿名的私人保健电子健康记录以及全国各个年龄段的人的纵向研究。在大流行之前，我们已经询问了参与者有关C-19的感染，长舒联症状，并收集了健康和社会经济信息。从这些研究中，我们将要求报告长期兴奋的人和比较群体，佩戴腕带测量运动能力，呼吸和心率，以及有关心理健康和认知功能的完整在线问卷。还将邀请他们去诊所进行非侵入性成像，以研究对大脑，肺和心脏等重要器官的潜在损害。患者，负责电子健康记录研究的公众成员以及研究成员参与了研究研究问题的参与，并将在该项目的持续时间内进行咨询。此外，从研究中，有长期浮游生的人及其家人将参与塑造长期延长的诊断工具，并有助于我们对恢复决定因素的理解以及对治疗的反应。我们将与参与指南的机构（NICE，也是该项目的一部分）分享发现，政府（通过出版物）。

项目成果

Estimating the Effectiveness of First Dose of COVID-19 Vaccine Against Mortality in England: A Quasi-Experimental Study.

估计英国第一剂 COVID-19 疫苗对死亡率的有效性：一项准实验研究。

• DOI: 10.1093/aje/kwac157
• 发表时间: 2023
• 期刊: American journal of epidemiology
• 影响因子: 5
• 作者: Bermingham C

Children's behavioural and emotional wellbeing during the COVID-19 pandemic: Findings from the Born in Bradford COVID-19 mixed methods longitudinal study

COVID-19 大流行期间儿童的行为和情绪健康：出生于布拉德福德的 COVID-19 混合方法纵向研究的结果

• DOI: 10.12688/wellcomeopenres.20752.1
• 发表时间: 2024
• 期刊: Wellcome Open Research
• 作者: Badrick E

Understanding the lived experience of Long Covid: A rapid literature review

了解长期新冠疫情的生活经历：快速文献回顾

• 发表时间: 2021
• 作者: Baz. S. A.

Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration.

• DOI: 10.1186/s12911-022-02093-0
• 发表时间: 2023-01-16
• 期刊: BMC MEDICAL INFORMATICS AND DECISION MAKING
• 影响因子: 3.5
• 作者: Abbasizanjani, Hoda;Torabi, Fatemeh;Bedston, Stuart;Bolton, Thomas;Davies, Gareth;Denaxas, Spiros;Griffiths, Rowena;Herbert, Laura;Hollings, Sam;Keene, Spencer;Khunti, Kamlesh;Lowthian, Emily;Lyons, Jane;Mizani, Mehrdad A.;Nolan, John;Sudlow, Cathie;Walker, Venexia;Whiteley, William;Wood, Angela;Akbari, Ashley
• 通讯作者: Akbari, Ashley

Characterising patterns of COVID-19 and long COVID symptoms: evidence from nine UK longitudinal studies.

• DOI: 10.1007/s10654-022-00962-6
• 发表时间: 2023-03
• 期刊: EUROPEAN JOURNAL OF EPIDEMIOLOGY
• 影响因子: 13.6
• 作者: Bowyer, Ruth C. E.;Huggins, Charlotte;Toms, Renin;Shaw, Richard J. J.;Hou, Bo;Thompson, Ellen J. J.;Kwong, Alex S. F.;Williams, Dylan M. M.;Kibble, Milla;Ploubidis, George B. B.;Timpson, Nicholas J. J.;Sterne, Jonathan A. C.;Chaturvedi, Nishi;Steves, Claire J. J.;Tilling, Kate;Silverwood, Richard J. J.;CONVALESCENCE Study
• 通讯作者: CONVALESCENCE Study