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Abstract Aims Biomarkers reflecting myocardial fibrosis and inflammation have been individually associated with left ventricular hypertrophy (LVH) and diastolic dysfunction (DD). However, the added value of a fibrosis‐inflammation multimarker approach in a populational setting is yet to be studied. We evaluated the value of a multimarker approach to detect LVH and DD in a large population‐based cohort. Methods and results In a prespecified analysis (BioSe‐PreIC study) of the 4th visit of the STANISLAS cohort (1705 subjects, 47 ± 14 years, 47.4% men), we evaluated the ability of brain natriuretic peptide (BNP), Galectin‐3 (GAL3), N‐terminal propeptide of procollagen type III (P3NP), and soluble ST2 to predict LVH (LV mass > 116/100 g/m2 for men/women) and DD using discrimination (C‐index) and reclassification analysis (NRI). Participants with LVH and/or DD had significantly higher levels of BNP, GAL3, and ST2. Overall, the predictive value of clinical variables for LVH and/or DD was good (C‐index ranging from 0.76 to 0.82) and the addition of BNP, Gal3, P3NP, and ST2 moderately but significantly improved predictive value (delta C‐index = 0.03, P = 0.03 for LVH and 0.01, P = 0.01 for DD) and reclassification (NRI = 25.3, P = 0.02 for LVH and NRI = 32.7 for DD, P |
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