Blood urea nitrogen/albumin ratio on admission predicts mortality in patients with non ST segment elevation myocardial infarction.
Sarper SevdımbasSalim SatarMüge GülenSelen AcehanArmagan AceleGonca Koksaldı SahinDeniz Aka SatarPublished in: Scandinavian journal of clinical and laboratory investigation (2022)
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.
Keyphrases
- ejection fraction
- emergency department
- end stage renal disease
- st segment elevation myocardial infarction
- aortic stenosis
- newly diagnosed
- cardiovascular events
- chronic kidney disease
- left ventricular
- peritoneal dialysis
- prognostic factors
- risk factors
- coronary artery disease
- patient reported outcomes
- heart failure
- coronary artery
- stem cells
- type diabetes
- clinical practice
- atrial fibrillation
- minimally invasive
- aortic valve
- big data
- data analysis