Loading…
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...
Saved in:
Published in: | Biomarkers in medicine 2021-08, Vol.15 (11), p.899-910 |
---|---|
Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
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 |