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OpenSAFELY, ISARIC, PHOSP: tracking consequences of COVID-19 infection across UK primary and secondary care.

OpenSAFELY, ISARIC, PHOSP: tracking consequences of COVID-19 infection across UK primary and secondary care.
OpenSAFELY、ISARIC、PHOSP:跟踪英国初级和二级护理中 COVID-19 感染的后果。
批准号:
MR/W016729/1
负责人:
Ben Goldacre
金额:
$78.18万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2021
资助国家:
英国
项目状态:
已结题
起止时间:
2021 至 --

项目摘要

项目成果

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中文摘要
翻译
虽然许多被诊断患有COVID-19的人不幸死亡,但仍有许多人在严重的COVID中幸存下来。然而,我们对人们在此之后的经历知之甚少,包括他们的康复情况,以及与未感染COVID-19的类似人群相比,他们是否有额外的医疗需求。早期有报道称,人们会经历“长COVID”——COVID的症状持续数周,而且出现中风和心脏病发作等更严重后果的可能性也会增加。更好地了解COVID-19患者的康复经历将有助于人们和医生更好地了解他们面临的风险,并在康复期间做出明智的治疗选择。它还将帮助那些决定提供医疗服务的人确定需要什么样的服务,他们可能需要治疗多少人,以及人们感染COVID-19后可能需要多长时间。最终,这将有助于改善患者的预后——帮助他们在更大程度上和/或更快地康复。opensafety项目是在疫情开始时设立的,目的是提供有关COVID-19的紧急信息。它包含了40%的英国人口的初级保健(一般做法)记录的信息。ISARIC包含因COVID-19入院的患者的详细医院记录。PHOSP包含因COVID-19住院但后来出院的人的症状和实验室检测数据。这三个数据源将链接在一起,以提供一个更强大的资源,我们可以可靠地确定COVID-19患者出院后会发生什么。具体而言,我们将测量许多不同诊断、症状和其他医疗保健活动(如治疗和实验室测试)在COVID-19患者中的发生率。我们将把这些与它们在没有感染COVID-19的类似患者中发生的频率进行比较,并将确定哪些事情可能会影响它们发生的频率。例如,老年人或以前有过疾病的人在康复期间更有可能经历不良后果。我们将详细描述哪些患者的结果最有可能发生,哪些患者最有可能得到这些结果,以及风险持续多久。然后,我们将测量我们测量的风险对医疗保健服务的影响,以帮助规划未来的服务。
英文摘要
While a large number of people who were diagnosed with COVID-19 have sadly died, there are still many people who survived having severe COVID. However, we know relatively little about people's experiences after this, in terms of how well they have recovered, and if they have additional healthcare needs when compared to similar people who did not have COVID-19. There are early reports of people experiencing "long COVID" - where the symptoms of COVID persist for many weeks, and also an increased likelihood of more serious outcomes like stroke and heart attacks.Understanding the experience of people recovering from COVID-19 better will help people and doctors to better understand the risks that they face, and to make informed choices about treatment during recovery. It will also help people who make decisions about providing healthcare services to determine what kind of services are needed, how many people they might have to treat and for how long after people have COVID-19 they might be required. Ultimately this could help to improve the outcomes of patients - helping them to recover to a greater extent, and/or more quickly.The OpenSAFELY project was set up at the beginning of the pandemic to provide urgent information on COVID-19. It contains information from the primary care (general practice) records of 40% of the English population. ISARIC contains detailed hospital records for people who were admitted to hospital with COVID-19. PHOSP contains data on symptoms and laboratory tests for people who were hospitalised with COVID-19 but were later discharged. These three data sources will be linked together to provide a much more powerful resource, where we can reliably determine what happens to COVID-19 patients after they are discharged from hospital. Specifically, we will measure the occurrence in COVID-19 patients of many different diagnoses, symptoms and other healthcare activities like treatments and lab tests. We will compare these to how often they occur in similar patients who did not have COVID-19, and will determine what sort of things might influence how often they occur. For example, people who are older or those with previous medical conditions might be more likely to experience adverse outcomes during their recovery. We will describe in detail which patient outcomes are most likely to occur, which patients are most likely to get them and how long the risk lasts for. We will then measure the impact of the risks that we measure on healthcare services to help plan services in future.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
The impact of Long COVID on Health-Related Quality-of-Life using OpenPROMPT
使用 OpenPROMPT 评估长期新冠肺炎对健康相关生活质量的影响
DOI: 10.1101/2023.12.06.23299601
发表时间: 2023
期刊:
影响因子: --
作者: [Carlile O]
通讯作者: Carlile O
DOI: 10.7554/elife.84673
发表时间: 2023-07-27
期刊: eLife
影响因子: 7.7
作者: [Fisher L, Curtis HJ, Croker R, Wiedemann M, Speed V, Wood C, Brown A, Hopcroft LEM, Higgins R, Massey J, Inglesby P, Morton CE, Walker AJ, Morley J, Mehrkar A, Bacon S, Hickman G, Macdonald O, Lewis T, Wood M, Myers M, Samuel M, Conibere R, Baqir W, Sood H, Drury C, Collison K, Bates C, Evans D, Dillingham I, Ward T, Davy S, Smith RM, Hulme W, Green A, Parry J, Hester F, Harper S, Cockburn J, O'Hanlon S, Eavis A, Jarvis R, Avramov D, Griffiths P, Fowles A, Parkes N, MacKenna B, Goldacre B]
通讯作者: Goldacre B
Group A streptococcal cases and treatments during the COVID-19 pandemic and 2022 outbreak: a retrospective cohort study in England using OpenSAFELY-TPP
COVID-19 大流行和 2022 年爆发期间的 A 组链球菌病例和治疗:使用 OpenSAFELY-TPP 在英格兰进行的一项回顾性队列研究
DOI: 10.1101/2023.09.22.23295850
发表时间: 2023
期刊:
影响因子: --
作者: [Cunningham C]
通讯作者: Cunningham C
Eleven key measures for monitoring general practice clinical activity during COVID-19 using federated analytics on 48 million adults' primary care records through OpenSAFELY
通过 OpenSAFELY 对 4800 万成人初级保健记录进行联合分析,监测 COVID-19 期间全科临床活动的 11 项关键措施
DOI: 10.1101/2022.10.17.22281058
发表时间: 2022
期刊:
影响因子: --
作者: [Fisher L]
通讯作者: Fisher L
共 7 条
    Urgent research and surveillance on Covid-19 using the new OpenSAFELY secure platform across 55 million patients' full linked primary care records
    • 批准号:
      MR/V015737/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $166.49万
    • 财政年份:
      2020
    • 负责人:
      Ben Goldacre
    • 依托单位:
    海外基金