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 Vol. 15; no. 11; pp. 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:	Journal Article
Language:	English
Published:	England Future Medicine Ltd 01-08-2021
Subjects:	Aged Biomarkers - blood C-Reactive Protein - analysis C-Reactive Protein - metabolism Creatine Kinase, MB Form - blood fatal outcome Female Humans Inflammation - blood Male Middle Aged myocardial infarction Myocardial Infarction - blood Myocardial Infarction - diagnosis Natriuretic Peptide, Brain - blood Peptide Fragments - blood Procalcitonin - blood Prognosis survivors Survivors - statistics & numerical data survivors prognosis myocardial infarction fatal outcome
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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.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1752-0363 1752-0371 1752-0371
DOI:	10.2217/bmm-2020-0875