Global Effect of Modifiable Risk Factors on Cardiovascular Disease and Mortality.
null nullChristina MagnussenFrancisco M OjedaDarryl P LeongJesus Alegre-DiazPhilippe AmouyelLarissa Aviles-SantaDirk De BacquerChristie M BallantyneAntonio Bernabe-OrtizMartin BobakHermann BrennerRodrigo M Carrillo-LarcoJames de LemosAnnette DobsonMarcus DörrChiara DonfrancescoWojciech DrygasRobin P DullaartGunnar EngströmMarco M FerrarioJean FerrièresGiovanni de GaetanoUri GoldbourtClicerio GonzalezGuido GrassiAllison M HodgeKristian HveemLicia IacovielloM Kamran IkramVilma IrazolaModou JobePekka JousilahtiPontiano KaleebuMaryam KavousiFrank KeeDavood KhaliliWolfgang KoenigAnna KontsevayaKari KuulasmaaKarl J LacknerDavid M LeistnerLars LindAllan LinnebergThiess LorenzMagnus Nakrem LyngbakkenReza MalekzadehSofia MalyutinaEllisiv B MathiesenOlle MelanderAndres MetspaluJuan Jaime MirandaMarie MoitryJoseph MugishaMahdi NaliniVijay NambiToshiharu NinomiyaKaren OppermannEleonora d'OrsiAndrzej PająkLuigi PalmieriDemosthenes PanagiotakosArokiasamy PerianayagamAnnette PetersHossein PoustchiAndrew M PrenticeEva PrescottUlf RisérusVeikko SalomaaSusana SansSatoko SakataBen SchöttkerAletta E SchutteSadaf G SepanlouSanjib Kumar SharmaJonathan E ShawLeon A SimonsStefan SöderbergAbdonas TamosiunasBarbara ThorandHugh Tunstall-PedoeRaphael TwerenboldDiego VanuzzoGiovanni VeronesiJulia WaibelS Goya WannametheeMasafumi WatanabePhilipp S WildYao YaoYi ZengAndreas ZieglerStefan BlankenbergPublished in: The New England journal of medicine (2023)
Harmonized individual-level data from a global cohort showed that 57.2% and 52.6% of cases of incident cardiovascular disease among women and men, respectively, and 22.2% and 19.1% of deaths from any cause among women and men, respectively, may be attributable to five modifiable risk factors. (Funded by the German Center for Cardiovascular Research (DZHK); ClinicalTrials.gov number, NCT05466825.).
Keyphrases
- cardiovascular disease
- risk factors
- polycystic ovary syndrome
- cardiovascular events
- pregnancy outcomes
- middle aged
- type diabetes
- cardiovascular risk factors
- cervical cancer screening
- breast cancer risk
- electronic health record
- big data
- coronary artery disease
- machine learning
- artificial intelligence
- skeletal muscle