Prognostic utility of a multi-biomarker panel in patients with suspected myocardial infarction

ConclusionNT-proBNP, Apo A-I and KIM-1 emerged as strongest independent predictors of 1-year MACE in patients with suspected MI. Their integration into clinical risk prediction models may improve personalized risk stratification.Graphical abstractPrognostic utility of a multi-biomarker approach in suspected myocardial infarction. In a cohort of 748 patients with symptoms indicative of myocardial infarction (MI) to the emergency department, we measured a 29-biomarker panel and performed regressions, machine learning (ML)-based variable selection and discriminative/reclassification analyses. We identified three biomarkers as top predictors for 1-year major adverse cardiovascular events (MACE). Their integration into a clinical risk prediction model and the Global Registry of Acute Coronary Events (GRACE) Score allowed for marked improvement in discrimination and reclassification for 1-year MACE.Apo apolipoprotein;CRP C-reactive protein;CRS clinical risk score;ECG electrocardiogram;EN-RAGE extracellular newly identified receptor for advanced glycation end-products binding protein;FABP fatty acid –binding protein;GS Grace Score;hs-cTnI high-sensitivity cardiac troponin I;KIM-1 kidney injury molecule –1;LASSO least absolute shrinkage and selection operator;MACE major adverse cardiovascular events;MI myocardial infarction;NRI net reclassification improvement;NT-proBNP N-terminal prohormone of brain natriuretic peptide.
Source: Clinical Research in Cardiology - Category: Cardiology Source Type: research