Department of Medicine, Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Baim Institute for Clinical Research, Boston, Massachusetts, USA.
Clin Cardiol. 2022 Mar;45(3):299-307. doi: 10.1002/clc.23773. Epub 2022 Jan 12.
Despite low-density lipoprotein cholesterol-lowering therapies and other standard-of-care therapy, there remains a substantial residual atherosclerotic risk among patients with an acute coronary syndrome (ACS). This study aims to estimate the risk of early and late recurrent major adverse cardiovascular events (MACE) and address its implications on trial design.
A literature search was performed to collect phase III interventional trials on high-risk ACS patients. Pooled event rates at 90 and 360 days were estimated by fitting random-effects models using the DerSimonian-Laird method. Under the assumption of a total sample size of 10,000 and 1:1 allocation at a one-sided alpha of 0.025 using the log-rank test, the relationship between power and relative risk reduction (RRR) or absolute risk reduction (ARR) was explored for early versus late MACE endpoint.
Seven trials representing 82,727 recent ACS patients were analyzed. The pooled rates of recurrent MACE were 4.1% and 8.3% at 90 and 360 days. Approximately 49% of events occurred within the first 90 days. Based on the estimated risks at 90 and 360 days, to attain 90% statistical power, a lower magnitude of RRR is required for late MACE than early MACE (22% vs. 30%), whereas a lower magnitude of ARR is required for early MACE than late MACE (1.2% vs. 1.8%).
The initial 90-day window after ACS represents a vulnerable period for recurrent events. From a trial design perspective, determining a clinically important benefit by RRR versus ARR may influence the decision between early and late MACE as the study endpoint.
尽管采用了降低低密度脂蛋白胆固醇的治疗方法和其他标准治疗方法,但急性冠状动脉综合征(ACS)患者仍存在大量的动脉粥样硬化残余风险。本研究旨在评估早期和晚期复发性主要不良心血管事件(MACE)的风险,并探讨其对试验设计的影响。
进行文献检索,收集高危 ACS 患者的 III 期干预性试验。采用随机效应模型,通过 DerSimonian-Laird 方法拟合,估计 90 天和 360 天的汇总事件发生率。假设总样本量为 10000 例,单侧 α 值为 0.025,对数秩检验的分配比例为 1:1,探讨早期与晚期 MACE 终点的效力与相对风险降低(RRR)或绝对风险降低(ARR)之间的关系。
共分析了 7 项代表 82727 例近期 ACS 患者的试验。90 天和 360 天的复发性 MACE 发生率分别为 4.1%和 8.3%。约 49%的事件发生在最初的 90 天内。根据 90 天和 360 天的估计风险,要达到 90%的统计学效力,晚期 MACE 比早期 MACE 所需的 RRR 幅度较小(22%比 30%),而早期 MACE 比晚期 MACE 所需的 ARR 幅度较小(1.2%比 1.8%)。
ACS 后最初的 90 天窗口代表了复发性事件的脆弱期。从试验设计的角度来看,通过 RRR 与 ARR 确定临床重要的获益可能会影响将早期或晚期 MACE 作为研究终点的决策。