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Cardiovascular Disease (Cvd)-covid-uk / Covid-impact

Cardiovascular disease (CVD)-COVID-UK / COVID-IMPACT

Description

{"type":"doc","content":[{"type":"paragraph","content":[{"type":"text","text":"CVD-COVID-UK/COVID-IMPACT is a major research programme coordinated by the BHF Data Science Centre, bringing together a consortium of over 400 researchers across more than 50 organisations. The programme enables analysis of de-identified, linked, nationally collated healthcare datasets across the UK to investigate the relationship between COVID-19 and cardiovascular disease, as well as its impact on other health conditions and risk factors. "}]},{"type":"paragraph","content":[{"type":"text","text":"The CVD-COVID-UK/COVID-IMPACT consortium follows a collaborative, transparent, and inclusive approach. All analysis plans, protocols, code, phenotype codelists, publications, and other outputs are publicly available through this Gateway collection. "}]},{"type":"paragraph","content":[{"type":"text","text":"Accredited researchers access data within secure data environments (SDEs) provided by NHS England in England, the National Data Safe Haven in Scotland, SAIL Databank in Wales and the Honest Broker Service in Northern Ireland. Patient data has all patient identifiers removed and never leaves the SDEs, and all projects must have approval from the relevant data custodians."}]},{"type":"paragraph","content":[{"type":"text","text":"Linked datasets include those from primary and secondary care, COVID lab tests and vaccinations, deaths, critical care, prescribing/dispensing, cardiovascular and stroke audits, maternity services and mental health."}]},{"type":"paragraph","content":[{"type":"text","text":"More detail about CVD-COVID-UK / COVID-IMPACT, including a dashboard of datasets currently available in each nation's TRE, can be found at: "},{"type":"text","marks":[{"type":"link","attrs":{"href":"https://bhfdatasciencecentre.org/areas/cvd-covid-uk-covid-impact/","target":"_blank","rel":"noopener noreferrer nofollow","class":null}}],"text":"https://bhfdatasciencecentre.org/areas/cvd-covid-uk-covid-impact/"}]},{"type":"paragraph"}]}

Datasets & BioSamples (55)

SICSAG Episodes (Scottish Intensive Care Audit Group)
Dataset population size: Unknown
Health and disease
SICSAG Daily (Scottish Intensive Care Audit Group)
Dataset population size: Unknown
Health and disease
National Records of Scotland (NRS) - Deaths Data
Dataset population size: Unknown
Health and disease
Welsh Dispensing Dataset (WDDS) - Legacy
Dataset population size: Unknown
Health and disease
SAIL Dementia e-Cohort (SDEC)
Dataset population size: Unknown
Health and disease
Pathology Data from WRRS (PATH) - Legacy
Dataset population size: Unknown
Health and disease

Analysis Scripts & Software (3)

BHF Data Science Centre GitHub organisation
HDRUK Developers

Created - 10 October 2024

BHF Data Science Centre Suite of Tools and Resources
Stephen Lavenberg

Created - 21 May 2025

BHF Data Science Centre Dataset Insights
Stephen Lavenberg

Created - 21 May 2025

Publications (28)

Evaluation of antithrombotic use and COVID-19 outcomes in a nationwide atrial fibrillation cohort.
Handy A, Banerjee A, Wood AM, Dale C, Sudlow CLM, Tomlinson C, Bean D, Thygesen JH, Mizani MA, Katsoulis M, Takhar R, Hollings S, Denaxas S, Walker V, Dobson R, Sofat R, CVD-COVID-UK Consortium.
2022
Association of COVID-19 With Major Arterial and Venous Thrombotic Diseases: A Population-Wide Cohort Study of 48 Million Adults in England and Wales.
Knight R, Walker V, Ip S, Cooper JA, Bolton T, Keene S, Denholm R, Akbari A, Abbasizanjani H, Torabi F, Omigie E, Hollings S, North TL, Toms R, Jiang X, Angelantonio ED, Denaxas S, Thygesen JH, Tomlinson C, Bray B, Smith CJ, Barber M, Khunti K, Davey Smith G, Chaturvedi N, Sudlow C, Whiteley WN, Wood AM, Sterne JAC, CVD-COVID-UK/COVID-IMPACT Consortium and the Longitudinal Health and Wellbeing COVID-19 National Core Study.
2022
COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records.
Thygesen JH, Tomlinson C, Hollings S, Mizani MA, Handy A, Akbari A, Banerjee A, Cooper J, Lai AG, Li K, Mateen BA, Sattar N, Sofat R, Torralbo A, Wu H, Wood A, Sterne JAC, Pagel C, Whiteley WN, Sudlow C, Hemingway H, Denaxas S, Longitudinal Health and Wellbeing COVID-19 National Core Study and the CVD-COVID-UK/COVID-IMPACT Consortium.
2022
Risk of myocarditis and pericarditis following BNT162b2 and ChAdOx1 COVID-19 vaccinations
Ip S, Torabi F, Denaxas S, Akbari A, Abbasizanjani H, Knight R, Cooper J, Denholm R, Keene S, Bolton T, Hollings S, Omigie E, North T, Suseeladevi AK, Angelantonio ED, Khunti K, Sterne JAC, Sudlow C, Whiteley W, Wood A, Walker V.
2022
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.
Mizani MA, Dashtban A, Pasea L, Lai AG, Thygesen J, Tomlinson C, Handy A, Mamza JB, Morris T, Khalid S, Zaccardi F, Macleod MJ, 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