BackgroundHigher soluble urokinase plasminogen activator receptor (suPAR) levels are associated with adverse outcomes in chronic heart failure (HF). ObjectiveWe assessed the association between proteomics-based suPAR levels and incident HF risk in the general population. MethodsIn 40,418 UK Biobank participants without HF or coronary artery disease at enrollment, the association between Olink-based suPAR levels measured as relative protein expression levels and incident all-cause, ischemic, and nonischemic HF was analyzed by competing-risk regression, while accounting for all-cause death as a competing risk. The additional variability in incident HF risk attributable to suPAR levels beyond demographics, traditional risk factors, N-terminal pro B-type natriuretic peptide (NT-proBNP), and CRP was assessed with nested Cox modeling and likelihood ratio testing. ResultsThe mean age was 56 years; 45% were male, and 94% were White. During a median follow-up of 13.7 (IQR 1.5) years, 1,428 (3.5%) incident HF events occurred. Proteomics-based suPAR levels (per 1-SD) were independently associated with incident HF (subdistribution hazard ratio (sHR) 1.37, 95% CI 1.29-1.46), ischemic HF (sHR 1.40, 95% CI 1.28-1.54) and nonischemic HF (sHR 1.32, 95% CI 1.21-1.44) risk, after adjustment for demographics, traditional cardiovascular risk factors, NT-proBNP, and C-reactive protein levels. The addition of suPAR levels to a base risk factor model significantly improved the explained variability of incident HF risk (R2 = 0.76 vs 0.73, P < 0.001). ConclusionsIndependent of demographics, traditional risk factors, NT-proBNP, and C-reactive protein, proteomics-based suPAR levels were significantly associated with incident all-cause, ischemic, and nonischemic HF risk. Proteomics-based measurement of suPAR levels may underestimate the effect size of this relationship.
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