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Blood urea nitrogen/albumin ratio on admission predicts mortality in patients with non ST segment elevation myocardial infarction

医学 内科学 射血分数 心肌梗塞 心脏病学 基里普班 前瞻性队列研究 降钙素原 中性粒细胞与淋巴细胞比率 C反应蛋白 经皮冠状动脉介入治疗 败血症 心力衰竭 炎症 淋巴细胞
作者
Sarper Sevdımbas,Salim Satar,Müge Gülen,Selen Acehan,Armağan Acele,Gonca Koksaldı Sahin,Deniz Aka Satar
出处
期刊:Scandinavian Journal of Clinical & Laboratory Investigation [Taylor & Francis]
卷期号:82 (6): 454-460 被引量:19
标识
DOI:10.1080/00365513.2022.2122075
摘要

The aim of this study is to reveal the predictive power of biomarkers and SYNTAX (SX) score for short-term mortality in patients diagnosed with non-ST-segment elevation myocardial infarction (NSTEMI) in the emergency department. This is prospective observational cohort study. Demographic characteristics of the patients, laboratory parameters on admission, left ventricular ejection fraction (LVEF) percentages, affected vessels in angiography (CAG) and the treatment strategy [medical therapy, percutaneous transluminal coronary angioplasty (PTCA), coronary angio by-pass graft] and SX scores were recorded on the data collection form. ROC curve was used to investigate the predictivity of blood urea nitrogen/albumin ratio (BAR), procalcitonin, C-reactive protein (CRP), high sensitivity cardiac troponin I (Hs-cTnI), CRP to serum albumin ratio (CAR), neutrophil to lymphocyte ratio (NLR) and SX scores in mortality. Multivariate analysis of biomarkers and SX score was performed to estimate the patients' 30-day mortality. Of the 415 patients were included in the study. ROC analysis of BAR, CAR, CRP, Procalcitonin, Hs-cTnI, NLR and SX score to predict mortality was statistically significant. BAR (OR: 1.280, 95% CI: 1.113-1.472, p = .001) and SX score (OR: 1.071, 95% CI: 1.018-1.126, p = .007) were found to be independent predictors of 30 days mortality. LVEF reduction, SX score, the number of affected vessels and the frequency of LMCA lesions increase were found to be statistically significant in patients with BAR ≥4.8. BAR, which can be calculated easily and quickly on admission to the emergency department and in clinical practice, may be used to predict mortality in patients with NSTEMI.
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