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We assessed the ability of predicting mortality and total in-hospital bleeding and adverse outcomes by the Academic Research Consortium High Bleeding Risk (ARC-HBR) criteria in ST-segment elevation myocardial infarction (STEMI) patients undergoing primary percutaneous coronary intervention (pPCI). A total of 1441 STEMI patients were recruited: HBR group 354 (25%) patients and non-HBR group of 1087 (75%) patients. A total of 131 patients (9%) had a bleeding complication during hospitalization. The bleeding complications were also categorized according to other conventional bleeding scores. According to these conventional scores, all bleeding categories were associated with HBR. In univariate logistic regression analysis, female gender, diabetes mellitus, hypertension (HT) and HBR were associated with in-hospital bleeding. However, in multivariable analysis only HT (Odds Ratio [OR] 1.528, 95% CI 1.020-2.290; P = .040) and HBR (OR 1.612, 95% CI 1.075-2.428; P = .022) independently predicted total in-hospital bleeding complications. Hospital duration was longer and mortality rate was significantly higher in patients with HBR (OR 8.755, 95% CI 5.864-13.074; P < .01). The ARC-HBR criteria may predict in-hospital bleeding events and adverse outcomes in STEMI patients undergoing pPCI., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Objectives: In this study, we aimed to determine whether body mass index (BMI) is an independent predictor of in-hospital mortality in ST-segment elevation myocardial infarction (STEMI) patients and to assess the relationship between BMI and mortality. Methods: One thousand three hundred fifty-seven patients with STEMI were included to the study. Primary outcome was in-hospital mortality. The multivariable logistic regression was used to assess the relationship between BMI and in-hospital mortality using age, gender, diabetes mellitus, systolic blood pressure, heart rate, smoking status, serum creatinine and hemoglobin, type of STEMI, and Killip class as adjustment variables. Results: The frequency of in-hospital mortality was 14.7%. The mean BMI was found to be 28.2 ± 4.8 kg/m 2 . Considering the in-hospital mortality frequencies between the groups, mortality was observed in 61.7% of the BMI <20 kg/m 2 group, 15.5% of the 20-25 kg/m 2 group, 8.5% of the 25-30 kg/m 2 group, and 9.5% of the >30 kg/m 2 group (chi-square P value <0.001). In the multivariable logistic regression analysis, a change in BMI from 20 to 30 kg/m 2 was associated with a reduced risk of in-hospital mortality (odds ratio: 0.39, 95% confidence interval: 0.23-0.67, P  < 0.001). Conclusion: Our study results revealed that there was inverse significant association between BMI and in-hospital mortality in STEMI patients.