Predicting long-term cardiovascular outcomes in myocardial infarction survivors using multiple biomarkers
Yazarlar (8)
Prof. Dr. Mustafa Umut Somuncu Zonguldak Bülent Ecevit Üniversitesi, Türkiye
Prof. Dr. Ahmet AVCI Zonguldak Bülent Ecevit Üniversitesi, Türkiye
Belma Kalaycı
Zonguldak Bülent Ecevit Üniversitesi, Türkiye
Zonguldak Bülent Ecevit Üniversitesi, Türkiye
Dr. Öğr. Üyesi Naile Eriş Güdül Zonguldak Bülent Ecevit Üniversitesi, Türkiye
Fatıh Paşam Tatar
Ali Rıza Demir
Prof. Dr. Murat Can Türkiye
Ferit Akgül
Türkiye
Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Biomarkers in Medicine (Q3) | ||
| Dergi ISSN | 1752-0363 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | Türkçe | Basım Tarihi | 01-2021 |
| Cilt / Sayı / Sayfa | 15 / 11 / 899–910 | DOI | 10.2217/bmm-2020-0875 |
| Makale Linki | http://dx.doi.org/10.2217/bmm-2020-0875 | ||
| Özet |
| 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 … |
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BM Sürdürülebilir Kalkınma Amaçları
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| Google Scholar | 3 |