Using population-wide electronic health records for timely contemporary assessment of cardiovascular disease risk prediction model performance: COVID-19 impact on the SCORE2 models.

Wood, Angela; Denaxas, Spiros; Khunti, Kamlesh; Sattar, Naveed; Pennells, L; di Angelantonio, Emanuele; Wild, S H; Keene, Spencer J; Raffetti, Elena; Petitjean, Carmen; Bolton, Thomas; Sampri, Alexia; Cezard, Genevieve; Ip, Samantha; Chalmers, Fionna; Stevenson, Anna J; Boulitsakis Logothetis, Stelios; Kim, Lois G; Kaptoge, Stephen

doi:10.1093/eurjpc/zwag179

Using population-wide electronic health records for timely contemporary assessment of cardiovascular disease risk prediction model performance: COVID-19 impact on the SCORE2 models.

2026-03-29, European journal of preventive cardiology (10.1093/eurjpc/zwag179) (online)
Angela Wood, Spiros Denaxas, Kamlesh Khunti, Naveed Sattar, L Pennells, Emanuele di Angelantonio, S H Wild, Spencer J Keene, Elena Raffetti, Carmen Petitjean, Thomas Bolton, Alexia Sampri, Genevieve Cezard, Samantha Ip, Fionna Chalmers, Anna J Stevenson, Stelios Boulitsakis Logothetis, Lois G Kim, and Stephen Kaptoge (?)

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.

This article has not yet been included in any curations.

Comments

There are no comments on this article yet.

You need to login or register to comment.

BioSothis

Using population-wide electronic health records for timely contemporary assessment of cardiovascular disease risk prediction model performance: COVID-19 impact on the SCORE2 models.