Replicating a COVID-19 study in a national England database to assess the generalisability of research with regional electronic health record data

作者：Williams R, Jenkins D, Bolton T, Heald A, Mizani M, Sperrin M, Peek N, CVD-COVID-UK/COVID-IMPACT Consortium · 发表于：BMJ open · 年份：2025 · DOI：10.1136/bmjopen-2024-093080 · 被引用次数：14 · 研究领域：COVID-19、Electronic Health Records、Diabetes Mellitus, Type 2、Hospitalization、Diabetes Mellitus, Type 1、Humans、England、Retrospective Studies、Female、Male、Databases, Factual、SARS-CoV-2

OBJECTIVES: To assess the degree to which we can replicate a study between a regional and a national database of electronic health record data in the UK. The original study examined the risk factors associated with hospitalisation following COVID-19 infection in people with diabetes. DESIGN: A replication of a retrospective cohort study. SETTING: Observational electronic health record data from primary and secondary care sources in the UK. The original study used data from a large, urbanised region (Greater Manchester Care Record, Greater Manchester, UK-2.8 m patients). This replication study used a national database covering the whole of England, UK (NHS England's Secure Data Environment service for England, accessed via the BHF Data Science Centre's CVD-COVID-UK/COVID-IMPACT Consortium-54 m patients). PARTICIPANTS: Individuals with a diagnosis of type 1 diabetes or type 2 diabetes prior to a positive COVID-19 test result. The matched controls (3:1) were individuals who had a positive COVID-19 test result, but who did not have a diagnosis of diabetes on the date of their positive COVID-19 test result. Matching was done on age at COVID-19 diagnosis, sex and approximate date of COVID-19 test. PRIMARY AND SECONDARY OUTCOME MEASURES: Hospitalisation within 28 days of a positive COVID-19 test. RESULTS: We found that many of the effect sizes did not show a statistically significant difference, but that some did. Where effect sizes were statistically significant in the regiona...