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英国国家数据集ECHOES的开发:用于监测英格兰地区急性后和长期新冠病毒病健康结果的资源。

Development of the ECHOES national dataset: a resource for monitoring post-acute and long-term COVID-19 health outcomes in England.

作者信息

Allen Hester, Hassell Katie, Rawlinson Christopher, Pullen Owen, Campbell Colin, Jödicke Annika M, Català Martí, Prats-Uribe Albert, Dabrera Gavin, Prieto-Alhambra Daniel, Campos-Matos Ines

机构信息

Immunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, London, United Kingdom.

Health Data Sciences, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, United Kingdom.

出版信息

Front Public Health. 2025 Mar 12;13:1513508. doi: 10.3389/fpubh.2025.1513508. eCollection 2025.

Abstract

INTRODUCTION

Electronic health records can be used to understand the diverse presentation of post-acute and long-term health outcomes following COVID-19 infection. In England, the UK Health Security Agency, in collaboration with the University of Oxford, has created the Evaluation of post-acute COVID-19 Health Outcomes (ECHOES) dataset to monitor how an initial SARS-CoV-2 infection episode is associated with changes in the risk of health outcomes that are recorded in routinely collected health data.

METHODS

The ECHOES dataset is a national-level dataset combining national-level surveillance, administrative, and healthcare data. Entity resolution and data linkage methods are used to create a cohort of individuals who have tested positive and negative for SARS-CoV-2 in England throughout the COVID-19 pandemic, alongside information on a range of health outcomes, including diagnosed clinical conditions, mortality, and risk factor information.

RESULTS

The dataset contains comprehensive COVID-19 testing data and demographic, socio-economic, and health-related information for 44 million individuals who tested for SARS-CoV-2 between March 2020 and April 2022, representing 15,720,286 individuals who tested positive and 42,351,016 individuals who tested negative.

DISCUSSION

With the application of epidemiological and statistical methods, this dataset allows a range of clinical outcomes to be investigated, including pre-specified health conditions and mortality. Furthermore, understanding potential determinants of health outcomes can be gained, including pre-existing health conditions, acute disease characteristics, SARS-CoV-2 vaccination status, and genomic variants.

摘要

引言

电子健康记录可用于了解新冠病毒感染后急性后期和长期健康结果的不同表现。在英国,英国卫生安全局与牛津大学合作创建了新冠病毒急性后期健康结果评估(ECHOES)数据集,以监测最初的新冠病毒感染事件如何与常规收集的健康数据中记录的健康结果风险变化相关联。

方法

ECHOES数据集是一个国家级数据集,它结合了国家级监测、行政和医疗保健数据。实体解析和数据链接方法用于创建一个队列,其中包括在整个新冠疫情期间在英国新冠病毒检测呈阳性和阴性的个体,以及一系列健康结果的信息,包括确诊的临床病症、死亡率和风险因素信息。

结果

该数据集包含2020年3月至2022年4月期间4400万接受新冠病毒检测个体的全面新冠病毒检测数据以及人口统计学、社会经济和健康相关信息,其中15720286人检测呈阳性,42351016人检测呈阴性。

讨论

通过应用流行病学和统计方法,该数据集能够对一系列临床结果进行调查,包括预先指定的健康状况和死亡率。此外,还可以了解健康结果的潜在决定因素,包括既往健康状况、急性疾病特征、新冠病毒疫苗接种状况和基因组变异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/320b/11936881/ce4429cdfb2e/fpubh-13-1513508-g001.jpg

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