ArticleHypertension (Dallas, Tex. : 1979)2026
Proteomic Risk Score for Prediction of Incident Hypertension.
Article in Hypertension (Dallas, Tex. : 1979), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundProteomic 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.
methodsWithin 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).
resultsIn 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];
conclusionsA ProtRS improves prediction of incident hypertension beyond demographics, clinical, and genetic information in UK Biobank Proteomics, with supportive external replication. Proteomic information may enhance individualized hypertension risk stratification and provide biologic insights into disease development.
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