TIMI Study Group, Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Circulation. 2011 Jun 14;123(23):2681-9. doi: 10.1161/CIRCULATIONAHA.110.002683. Epub 2011 May 23.
The balance between benefit (ischemia protection) and risk (bleeding) is a key consideration in choosing the intensity of antiplatelet therapy for patients with acute coronary syndromes. The goals of this analysis were to identify baseline characteristics that independently predict bleeding and to determine how bleeding events impact the subsequent mortality in the Trial to Assess Improvement in Therapeutic Outcomes by Optimizing Platelet Inhibition With Prasugrel--Thrombolysis in Myocardial Infarction 38 (TRITON-TIMI 38).
Multivariable Cox regression analyses adjusted for treatment, baseline, and procedural variables were used to determine the predictors for serious (TIMI major or minor) bleeding. To analyze the hazard ratio and time dependency of bleeding on mortality, we used iterative day-to-day landmark analyses after the bleed. From the 13 420 patients with acute coronary syndromes included in this analysis, 534 (4.0%) experienced a serious bleeding event. Variables with the highest strength of association with risk of serious bleeding were female sex, use of a glycoprotein IIb/IIIa inhibitor, duration of intervention, age, assignment to prasugrel, regional characteristics, admission diagnosis of ST-elevation myocardial infarction, femoral access for angiography, creatinine clearance, hypercholesterolemia, and arterial hypertension. Serious bleeding was associated with a significantly increased adjusted hazard ratio of 5.84 (95% confidence interval 4.11 to 8.29) for mortality. However, the hazard ratio did not differ statistically from baseline risk by 40 days after the bleeding event.
The major predictors of serious bleeding were a combination of patient and procedural characteristics and antiplatelet therapies. Although serious bleeding was strongly associated with mortality within the first month of the bleeding event, this association was not significant beyond 40 days.
http://www.clinicaltrial.gov. Unique identifier NCT00097591.
在选择急性冠脉综合征患者抗血小板治疗强度时,获益(缺血保护)与风险(出血)之间的平衡是关键考虑因素。本分析的目的是确定独立预测出血的基线特征,并确定出血事件如何影响随后的死亡率。
采用多变量 Cox 回归分析调整治疗、基线和操作变量,以确定严重出血(TIMI 主要或次要)的预测因素。为了分析出血对死亡率的风险比和时间依赖性,我们在出血后使用迭代每日里程碑分析。在这项纳入 13420 例急性冠脉综合征患者的分析中,有 534 例(4.0%)发生了严重出血事件。与严重出血风险关联最强的变量是女性、使用糖蛋白 IIb/IIIa 抑制剂、介入时间、年龄、普拉格雷治疗组、区域特征、ST 段抬高心肌梗死入院诊断、股动脉入路造影、肌酐清除率、高胆固醇血症和动脉高血压。严重出血与调整后的死亡率显著增加的风险比为 5.84(95%置信区间 4.11 至 8.29)。然而,出血事件后 40 天,风险比与基线风险无统计学差异。
严重出血的主要预测因素是患者和操作特征以及抗血小板治疗的综合作用。尽管严重出血与出血事件发生后第一个月内的死亡率密切相关,但在 40 天后,这种相关性无统计学意义。
http://www.clinicaltrial.gov。唯一标识符 NCT00097591。