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Using national electronic health records for pandemic preparedness : validation of a parsimonious model for predicting excess deaths among those with COVID-19-a data-driven retrospective cohort study

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dc.contributor.authorMizani, Mehrdad A
dc.contributor.authorDashtban, Ashkan
dc.contributor.authorPasea, Laura
dc.contributor.authorLai, Alvina G
dc.contributor.authorThygesen, Johan
dc.contributor.authorTomlinson, Chris
dc.contributor.authorHandy, Alex
dc.contributor.authorMamza, Jil B
dc.contributor.authorMorris, Tamsin
dc.contributor.authorKhalid, Sara
dc.contributor.authorZaccardi, Francesco
dc.contributor.authorMacleod, Mary Joan
dc.contributor.authorTorabi, Fatemeh
dc.contributor.authorCanoy, Dexter
dc.contributor.authorAkbari, Ashley
dc.contributor.authorBerry, Colin
dc.contributor.authorBolton, Thomas
dc.contributor.authorNolan, John
dc.contributor.authorKhunti, Kamlesh
dc.contributor.authorDenaxas, Spiros
dc.contributor.authorHemingway, Harry
dc.contributor.authorSudlow, Cathie
dc.contributor.authorBanerjee, Amitava
dc.contributor.authorCVD-COVID-UK Consortium
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Cardiovascular and Diabetes Centreen
dc.contributor.institutionUniversity of Aberdeen.Applied Medicineen
dc.contributor.institutionUniversity of Aberdeen.Medical Sciences - Cardiovascular Groupen
dc.contributor.institutionUniversity of Aberdeen.Institute of Medical Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Centre for Health Data Scienceen
dc.date.accessioned2023-10-23T09:01:01Z
dc.date.available2023-10-23T09:01:01Z
dc.date.issued2023-01
dc.descriptionAcknowledgements This work is carried out with the support of the BHF Data Science Centre led by HDR UK (BHF Grant no. SP/19/3/34678) and makes use of de-identified data held in NHS Digital’s TRE for England, made available via the BHF Data Science Centre’s CVD-COVID-UK/COVID-IMPACT consortium. This work uses data provided by patients and collected by the NHS as part of their care and support. We would also like to acknowledge all data providers who make health relevant data available for research. Funding The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The British Heart Foundation Data Science Centre (grant no. SP/19/3/34678, awarded to Health Data Research (HDR) UK) funded co-development (with NHS Digital) of the TRE, provision of linked datasets, data access, user software licences, computational usage, and data management and wrangling support, with additional contributions from the HDR UK data and connectivity component of the UK Government Chief Scientific Adviser’s National Core Studies programme to coordinate national COVID-19 priority research. Consortium partner organisations funded the time of contributing data analysts, biostatisticians, epidemiologists and clinicians. AB, MAM, MHD and LP were supported by research funding from AstraZeneca. AB has received funding from the National Institute for Health Research (NIHR), British Medical Association and UK Research and Innovation. AB, SD and HH are part of the BigData@Heart Consortium, funded by the Innovative Medicines Initiative-2 Joint Undertaking under grant agreement No 116074. KK is supported by the National Institute for Health Research (NIHR) Applied Research Collaboration East Midlands (ARC-EM) and NIHR Lifestyle BRC.en
dc.description.statusPeer revieweden
dc.format.extent11
dc.format.extent670059
dc.identifier222390518
dc.identifierfa748ecf-59a7-4b94-bedb-33d5ac3d11e1
dc.identifier36374585
dc.identifier85142270542
dc.identifier000885581200001
dc.identifier.citationMizani, M A, Dashtban, A, Pasea, L, Lai, A G, Thygesen, J, Tomlinson, C, Handy, A, Mamza, J B, Morris, T, Khalid, S, Zaccardi, F, Macleod, M J, Torabi, F, Canoy, D, Akbari, A, Berry, C, Bolton, T, Nolan, J, Khunti, K, Denaxas, S, Hemingway, H, Sudlow, C, Banerjee, A & CVD-COVID-UK Consortium 2023, 'Using national electronic health records for pandemic preparedness : validation of a parsimonious model for predicting excess deaths among those with COVID-19-a data-driven retrospective cohort study', Journal of the Royal Society of Medicine, vol. 116, no. 1, pp. 10-20. https://doi.org/10.1177/01410768221131897en
dc.identifier.doi10.1177/01410768221131897
dc.identifier.iss1en
dc.identifier.issn0141-0768
dc.identifier.otherORCID: /0000-0003-2115-8184/work/123404630
dc.identifier.urihttps://hdl.handle.net/2164/21983
dc.identifier.urlhttps://cronfa.swan.ac.uk/Record/cronfa61933#detailsen
dc.identifier.urlhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909113/en
dc.identifier.urlhttps://figshare.le.ac.uk/articles/journal_contribution/Using_national_electronic_health_records_for_pandemic_preparedness_validation_of_a_parsimonious_model_for_predicting_excess_deaths_among_those_with_COVID-19-a_data-driven_retrospective_cohort_study_/21590604en
dc.identifier.vol116en
dc.language.isoeng
dc.relation.ispartofJournal of the Royal Society of Medicineen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectclinicalen
dc.subjectepidemiologyen
dc.subjecthealth informaticsen
dc.subjectinfectious diseasesen
dc.subjectpublic healthen
dc.subjectRA0421 Public health. Hygiene. Preventive Medicineen
dc.subjectBritish Heart Foundationen
dc.subjectSP/19/3/34678en
dc.subjectNational Institute for Health Research (NIHR)en
dc.subjectARC-EMen
dc.subjectLifestyle BRCen
dc.subjectUK Research and Innovation (UKRI)en
dc.subjectOtheren
dc.subject116074en
dc.subjectSupplementary Dataen
dc.subjectsj-pdf-1-jrs-10.1177_01410768221131897en
dc.subject.lccRA0421en
dc.titleUsing national electronic health records for pandemic preparedness : validation of a parsimonious model for predicting excess deaths among those with COVID-19-a data-driven retrospective cohort studyen
dc.typeJournal articleen

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