@article{Petitjean_C-2026_226379,
title = {Using population-wide electronic health records for timely contemporary assessment of cardiovascular disease risk prediction model performance: COVID-19 impact on the SCORE2 models},
author = {Petitjean, C. and Keene, S. and Bolton, T. and Sampri, A. and Cezard, G. and Ip, S. and Chalmers, F. and Stevenson, A. and Boulitsakis Logothetis, S. and Denaxas, S. and Khunti, K. and Raffetti, E. and Kim, L. and Sattar, N. and Wild, S. and di Angelantonio, E. and Kaptoge, S. and Wood, A. and Pennells, L.},
month = {mar},
year = {2026},
abstract = {BACKGROUND AND AIMS: Risk estimation is key for primary prevention of cardiovascular diseases (CVD). The European Society of Cardiology recommends SCORE2, SCORE2-OP (Older Persons), and SCORE2-Diabetes (collectively, the SCORE2 family-of-models (FOMs)) for 10-year CVD-risk estimation. As the COVID-19 pandemic was associated with higher CVD incidences, we externally validated the SCORE2-FOMs using contemporary nationwide data and assessed the need for adaptation.},
pages = {1-12},
journal = {European Journal of Preventive Cardiology},
publisher = {Oxford University Press},
url = {https://doi.org/10.1093/eurjpc/zwag179},
}
