Which one predicts mortality better in acute ischemic stroke: negative vs positive acute-phase reactants.

AIM: The aim of the study is to investigate the relationship between negative acute-phase reactants and positive acute-phase reactants with in-hospital mortality in patients diagnosed with acute ischemic stroke (AIS) in the emergency department (ED). METHODS AND MATERIALS: Patients aged 18 and older who presented to the ED of a tertiary hospital with AIS were included in the study. Demographic and clinical characteristics, laboratory parameters, acute-phase reactants, National Institutes of Health Stroke Scale (NIHSS), and outcome data of the included patients were recorded on a standard data form. RESULTS: A total of 588 patients were included in the study. When the in-hospital mortality of patients was examined, the mortality rate was 17.7%. In the analysis for predicting mortality, it was determined that albumin had the highest predictive power between the area under the curve (AUC) and the determined predictive values (AUC: 0.759, 95% CI 0.707-0.810, p < 0.001). The analyses of the study data revealed that albumin (<0.001) and TF (p = 0.049), which are negative acute-phase reactants, were independent predictors of mortality. According to our study data, in patients with AIS, for each unit decrease in albumin level at the time of ED admission, the risk of mortality increased by 0.868 times, and for each unit decrease in TF level, the risk of mortality increased by 0.593 times. CONCLUSION: According to the study data, albumin and TF levels, which are negative acute-phase reactants, are independent determinants of in-hospital mortality in patients with acute ischemic stroke in the emergency department.

Predictors of 30-day mortality in patients diagnosed with hepatic encephalopathy on admission to the emergency department.

BACKGROUND: The aim of this study is to compare the laboratory findings and disease severity scores of patients diagnosed with hepatic encephalopathy (HE) in the emergency department (ED) to predict 30-day mortality. METHOD: The patients over 18 years old and diagnosed HE in the ED of a tertiary hospital were included in the study. Demographic and clinical characteristics, laboratory parameters, predisposing causes and outcomes of the patients included in the study were recorded in the data form. Severity of liver disease was assessed by Child Pugh Score (CPS), End-stage liver disease model (MELD), MELD-Na and MELD-Lactate scores. RESULTS: Two hundred fifty-four patients diagnosed with HE were included in the study. 59.1% of the patients were male. The mean age of the patients was 65.2 ±â€…12.6 years. The mortality rate of the patients was 47.2%. When the receiver operating characteristic (ROC) analysis, which determines the predictive properties of laboratory parameters and disease severity scores, was examined, the area under curve value of the MELD-Lactate score (0.858 95% CI 0.812-0.904, P  < 0.001) was the highest. Binary logistic regression analysis for the estimation of patients' 30-day mortality showed that CPS and MELD-Lactate scores and blood ammonia and B-type natriuretic peptide levels were independent predictors of mortality. CONCLUSION: According to the study data, MELD-Lactate and BNP levels in patients diagnosed with HE in the ED may help the clinician in the prediction of 30-day mortality in the early period.