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Predicting long-term cardiovascular outcomes in myocardial infarction survivors using multiple biomarkers

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. We analyzed creatinine kinase-MB and troponin related to myonecrosis, suppression of tumorigenicity 2 and...

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Bibliographic Details
Published in:Biomarkers in medicine 2021-08, Vol.15 (11), p.899-910
Main Authors: Somuncu, Mustafa U, Avci, Ahmet, Kalayci, Belma, Gudul, Naile E, Tatar, Fatih P, Demir, Ali R, Can, Murat, Akgul, Ferit
Format: Article
Language:English
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Summary: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. 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. 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). Using multimarker risk stratification composed of inflammation and myocardial stress biomarkers improves the prediction of major cardiovascular adverse events in MI survivors.
ISSN:1752-0363
1752-0371
1752-0371
DOI:10.2217/bmm-2020-0875