Somuncu MU, Avci A, Kalayci B, Gudul NE, Tatar FP, Demir AR, Can M, Akgul F. Predicting long-term cardiovascular outcomes in myocardial infarction survivors using multiple biomarkers.
Biomark Med 2021;
15:899-910. [PMID:
34241548 DOI:
10.2217/bmm-2020-0875]
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Abstract
Aim: Although there are short- and long-term prognostic studies in patients with myocardial infarction (MI), the data that can be used to predict the clinical outcome following discharge is limited. Materials & methods: We analyzed creatinine kinase-MB and troponin related to myonecrosis, suppression of tumorigenicity 2 and NT-pro B-type natriuretic peptide related to myocardial stress, C-reactive protein and procalcitonin related to inflammation in 259 MI patients. Results: Being in the high group for myocardial stress (odds ratio [OR]: 3.45, 95% CI: 1.398-8.547, p = 0.004) and inflammation markers (OR: 4.30, 95% CI: 1.690-10.899, p = 0.001) predicted major cardiovascular adverse events while myonecrosis markers could not (OR: 1.70, 95% CI: 0.671-4.306, p = 0.263). Conclusion: Using multimarker risk stratification composed of inflammation and myocardial stress biomarkers improves the prediction of major cardiovascular adverse events in MI survivors.
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