Academic Journal
Performance of the Academic Research Consortium High Bleeding Risk Criteria in Patients With ST-Segment Elevation Myocardial Infarction: A Single Center Study
| العنوان: | Performance of the Academic Research Consortium High Bleeding Risk Criteria in Patients With ST-Segment Elevation Myocardial Infarction: A Single Center Study |
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| المؤلفون: | Inan, Duygu, Yumurtas, Ahmet C., Simsek, Barıs, Palice, Ali, Efendioglu, Eyüp M., Yuksel, Gizem, Korkmaz, Betul, Vatanoglu, Elif G., Güngör, Barış, Karabay, Can Y. |
| المصدر: | Angiology ; volume 75, issue 2, page 166-174 ; ISSN 0003-3197 1940-1574 |
| بيانات النشر: | SAGE Publications |
| سنة النشر: | 2022 |
| الوصف: | 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. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1177/00033197221135739 |
| الاتاحة: | https://doi.org/10.1177/00033197221135739 http://journals.sagepub.com/doi/pdf/10.1177/00033197221135739 http://journals.sagepub.com/doi/full-xml/10.1177/00033197221135739 |
| Rights: | http://journals.sagepub.com/page/policies/text-and-data-mining-license |
| رقم الانضمام: | edsbas.94D5DF15 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1177/00033197221135739 |
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