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Incidence and individual risk prediction of post-COVID-19 cardiovascular disease in the general population: a multivariable prediction model development and validation study.

Authors :
la Roi-Teeuw HM
van Smeden M
Geersing GJ
Klungel OH
Rutten FH
Souverein PC
van Doorn S
Source :
European heart journal open [Eur Heart J Open] 2023 Sep 28; Vol. 3 (6), pp. oead101. Date of Electronic Publication: 2023 Sep 28 (Print Publication: 2023).
Publication Year :
2023

Abstract

Aims: Previous studies suggest relatively increased cardiovascular risk after COVID-19 infection. This study assessed incidence and explored individual risk and timing of cardiovascular disease occurring post-COVID-19 in a large primary care database.<br />Methods and Results: Data were extracted from the UK's Clinical Practice Research Datalink. Incidence rates within 180 days post-infection were estimated for arterial or venous events, inflammatory heart disease, and new-onset atrial fibrillation or heart failure. Next, multivariable logistic regression models were developed on 220 751 adults with COVID-19 infection before 1 December 2020 using age, sex and traditional cardiovascular risk factors. All models were externally validated in (i) 138 034 vaccinated and (ii) 503 404 unvaccinated adults with a first COVID-19 infection after 1 December 2020. Discriminative performance and calibration were evaluated with internal and external validation. Increased incidence rates were observed up to 60 days after COVID-19 infection for venous and arterial cardiovascular events and new-onset atrial fibrillation, but not for inflammatory heart disease or heart failure, with the highest rate for venous events (13 per 1000 person-years). The best prediction models had c -statistics of 0.90 or higher. However, <5% of adults had a predicted 180-day outcome-specific risk larger than 1%. These rare outcomes complicated calibration.<br />Conclusion: Risks of arterial and venous cardiovascular events and new-onset atrial fibrillation are increased within the first 60 days after COVID-19 infection in the general population. Models' c -statistics suggest high discrimination, but because of the very low absolute risks, they are insufficient to inform individual risk management.<br />Competing Interests: Conflict of interest: none declared.<br /> (© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Details

Language :
English
ISSN :
2752-4191
Volume :
3
Issue :
6
Database :
MEDLINE
Journal :
European heart journal open
Publication Type :
Academic Journal
Accession number :
38046622
Full Text :
https://doi.org/10.1093/ehjopen/oead101