Prediction of first cardiovascular disease event in 2.9 million individuals using Danish administrative healthcare data: a nationwide, registry-based derivation and validation study.
Daniel Mølager ChristensenMatthew D PhelpsThomas GerdsMorten MalmborgAnne-Marie SchjerningJarl Emanuel StrangeMohamad El-ChouliLars Bruun LarsenEmil FosbølLars Valeur KøberChristian Torp-PedersenSuneela MehtaRod JacksonGunnar GislasonPublished in: European heart journal open (2021)
A CVD risk prediction model based solely on nationwide administrative registry data provided accurate prediction of personal and population-level 5-year first CVD event risk in the Danish population. This may inform clinical and public health primary prevention efforts.