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

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.

• Authors: Mustafa U Somuncu, Ahmet Avci, Belma Kalayci, Naile E Gudul, Fatih P Tatar, Ali R Demir, Murat Can, Ferit Akgul
• Journal: Biomarkers in medicine (Biomark Med) Vol. 15 Issue 11 Pg. 899-910 (08 2021) ISSN: 1752-0371 [Electronic] England
• PMID: 34241548 (Publication Type: Journal Article)

Chemical References

• Peptide Fragments
• pro-brain natriuretic peptide (1-76)
• Natriuretic Peptide, Brain

Topics

• Natriuretic Peptide, Brain
• Peptide Fragments