RESUMO
The CHA2DS2-VASc (congestive heart failure, hypertension, age, diabetes mellitus, stroke, vascular disease, sex) scoring system, which includes conventional risk factors of coronary artery disease, was originally created to quantify the risk of thromboembolism in patients with atrial fibrillation. This study evaluated the usefulness of this score to predict adverse outcomes in STEMI (ST-elevation myocardial infarction) patients without atrial fibrillation. Primary end points were identified as MACE (major adverse cardiovascular events) which included in-hospital death or cerebrovascular accident. MACE rate was 10% (193 patients). The CHA2DS2-VASc score was an independent predictor of MACE (95% CI, 2.31 [1.37-3.9]; P = .0016). Other independent predictors of MACE included heart rate (95% CI, 1.56 [0.97-2.50]; P = .0242), admission Killip class (95% CI, 24.19 [10.74-54.46]; P < .0001), admission creatinine level (95% CI, 1.54 [1.10-2.16]; P = .0024), peak CK-MB level (95% CI, 1.63 [0.98-2.70]; P = .0001), and no-reflow (95% CI, 2.45 [1.25-4.80]; P = .0085). A nomogram was developed to estimate the risk of in-hospital adverse outcomes for STEMI patients. The CHA2DS2-VASc score was an independent predictor of MACE in STEMI patients. Linear analysis of CHA2DS2-VASc score without dichotomization was the main difference of this study from others.
RESUMO
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.