Linked Electronic Health Records for Research on a Nationwide Cohort Including Over 54 Million People in England
medRxiv preprint doi: https://doi.org/10.1101/2021.02.22.21252185; this version posted February 26, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license . Linked electronic health records for research on a nationwide cohort including over 54 million people in England CVD-COVID-UK consortium* 3 tables, 3 figures 6 Supplementary tables Key Words: Electronic Health Records, England, administrative health datasets, nationwide, population-scale, trusted research environment, NHS Digital, primary care, hospital admissions, Covid-19 Word count = 4342 *Contributions to this manuscript: Manuscript drafting and revising: Angela Wood (writing committee chair) 4,5,8,13,19, Rachel Den- holm2,10,14, Sam Hollings16, Jennifer Cooper2,10,14, Samantha Ip4, Venexia Walker7,12, Spiros De- naxas3,11,15,19, Ashley Akbari18, Jonathan Sterne†2,10,14, Cathie Sudlow†9,21 †equal contributions Data wrangling, QA and analysis (including generating phenotype definitions): Angela Wood (chair), Rachel Denholm, Sam Hollings, Jennifer Cooper, Samantha Ip, Venexia Walker, Spiros De- naxas, Amitava Banerjee1,11,20, William Whiteley6,17 Figures/graphics: Alvina Lai11 Consortium coordination (BHF Data Science Centre core team): Rouven Priedon9, Cathie Sudlow9, Lynn Morrice9, Debbie Ringham9 NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice.1 medRxiv preprint doi: https://doi.org/10.1101/2021.02.22.21252185; this version posted February 26, 2021.
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