Proteomische risicoscore voorspelt het ontstaan van hypertensie

BACKGROUND:Proteomic signatures may enhance the prediction of cardiometabolic diseases for targeted prevention. We evaluated whether a proteomic risk score (ProtRS) improves the prediction of incident hypertension.METHODS:Within the UK Biobank Proteomics data set, participants at risk for incident hypertension were randomly split into derivation (n=25 158) and test (n=10 781) sets. A ProtRS was trained in the derivation cohort using least absolute shrinkage and selection operator penalized Cox regression and evaluated in the test set with sequential adjustment for demographics, clinical risk factors, and a polygenic risk score (PRS). External replication was performed in the Asklepios study (n=793).RESULTS:In UK Biobank Proteomics (2312 events), each 1-SD higher ProtRS was associated with incident hypertension after covariate adjustment (hazard ratio, 1.68 [95% CI, 1.59–1.78];P<0.001). Adding the protein score to demographics, clinical variables, and PRS improved model fit (glob