TY - JOUR
AU - Petitjean, Carmen
AU - Keene, Spencer J
AU - Bolton, Thomas
AU - Sampri, Alexia
AU - Cezard, Genevieve
AU - Ip, Samantha
AU - Chalmers, Fionna
AU - Stevenson, Anna J.
AU - Boulitsakis Logothetis, Stelios
AU - Denaxas, Spiros
AU - Khunti, Kamlesh
AU - Raffetti, Elena
AU - Kim, Lois G
AU - Sattar, Naveed
AU - Wild, Sarah H.
AU - di Angelantonio, Emanuele
AU - Kaptoge, Stephen
AU - Wood, Angela
AU - Pennells, Lisa
PY - 2026
DA - March
TI - Using population-wide electronic health records for timely contemporary assessment of cardiovascular disease risk prediction model performance: COVID-19 impact on the SCORE2 models
JO - European Journal of Preventive Cardiology
EP - 12
DO - https://doi.org/10.1093/eurjpc/zwag179
AB - 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.
PB - Oxford University Press
UR - https://publichealthscotland.scot/id/226379
KW - Coronavirus (COVID-19)
ER