Moscucci M, Fox K A A, Cannon Christopher P, Klein W, López-Sendón José, Montalescot G, White K, Goldberg R J
University of Michigan Health System, Ann Arbor, MI 48109, USA.
Eur Heart J. 2003 Oct;24(20):1815-23. doi: 10.1016/s0195-668x(03)00485-8.
There have been no large observational studies attempting to identify predictors of major bleeding in patients with acute coronary syndromes (ACS), particularly from a multinational perspective. The objective of our study was thus to develop a prediction rule for the identification of patients with ACS at higher risk of major bleeding.
Data from 24045 patients from the Global Registry of Acute Coronary Events (GRACE) were analysed. Factors associated with major bleeding were identified using logistic regression analysis. Predictive models were developed for the overall patient population and for subgroups of patients with ST-segment elevation myocardial infarction (STEMI), non-ST-segment elevation myocardial infarction (NSTEMI) and unstable angina. The overall incidence of major bleeding was 3.9% (4.8% in patients with STEMI, 4.7% in patients with NSTEMI and 2.3% in patients with unstable angina). Advanced age, female sex, history of bleeding, and renal insufficiency were independently associated with a higher risk of bleeding (P<0.01). The association remained after adjustment for hospital therapies and performance of invasive procedures. After adjustment for a variety of potential confounders, major bleeding was significantly associated with an increased risk of hospital death (adjusted odds ratio 1.64, 95% confidence interval 1.18, 2.28).
In routine clinical practice, major bleeding is a relatively frequent non-cardiac complication of contemporary therapy for ACS and it is associated with a poor hospital prognosis. Simple baseline demographic and clinical characteristics identify patients at increased risk of major bleeding.
此前尚无大型观察性研究试图确定急性冠状动脉综合征(ACS)患者大出血的预测因素,特别是从跨国角度。因此,我们研究的目的是制定一种预测规则,以识别大出血风险较高的ACS患者。
分析了来自全球急性冠状动脉事件注册研究(GRACE)的24045例患者的数据。使用逻辑回归分析确定与大出血相关的因素。为总体患者群体以及ST段抬高型心肌梗死(STEMI)、非ST段抬高型心肌梗死(NSTEMI)和不稳定型心绞痛患者亚组建立了预测模型。大出血的总体发生率为3.9%(STEMI患者为4.8%,NSTEMI患者为4.7%,不稳定型心绞痛患者为2.3%)。高龄、女性、出血史和肾功能不全与出血风险较高独立相关(P<0.01)。在调整医院治疗和侵入性操作的实施情况后,这种关联仍然存在。在调整各种潜在混杂因素后,大出血与住院死亡风险增加显著相关(调整后的优势比为1.64,95%置信区间为1.18,2.28)。
在常规临床实践中,大出血是当代ACS治疗中相对常见的非心脏并发症,并且与不良的住院预后相关。简单的基线人口统计学和临床特征可识别大出血风险增加的患者。