Department of Internal Medicine, Korea University Medical Center, Seoul, Korea.
Department of Biostatistics, Korea University College of Medicine, Seoul, Korea.
Clin Exp Pharmacol Physiol. 2020 Oct;47(10):1649-1658. doi: 10.1111/1440-1681.13367. Epub 2020 Jul 17.
Clinical guidelines for monitoring low-density lipoprotein cholesterol (LDL-C) after statin therapy do not clearly define the clinical roles of baseline LDL-C, ΔLDL-C, and achieved LDL-C according to statin intensity. We performed post-hoc analysis of the Treating to New Target (TNT) study to evaluate individual LDL-C parameters after statin therapy. Primary outcome was the risk for total major adverse cardiovascular events (MACE). We use resampling multilevel mediation analysis to analyze complex relationships among LDL-C parameters based on similar statin intensities. Tertiles for resample A (matched baseline LDL-C; distinct achieved LDL), resample B (matched ΔLDL-C; distinct baseline LDL-C), and resample C (matched achieved LDL-C; distinct ΔLDL-C) were analyzed using Cox proportional hazard ratios. In original data analysis, the incidence of MACE was reduced in those with lower achieved LDL-C in total, low, and high intensity statin users (hazard ratios [HRs] = 0.990, 0.992, 0.992; respectively; all P-values < .001). In mediation analysis, resample A showed consistently high incidence for MACE in the middle tertile (HR = 1.237; 95% confidential interval [CI] = 1.008-1.517; P-value = .041) and highest tertile (HR = 1.275; 95% CI = 1.021-1.592; P-value = .032) compared to the lowest tertile. However, resamples B and C did not show consistent differences. Similarly, no consistent statistical difference in MACE according to statin intensity. Lower achieved LDL-C decreased MACE in participants with a similar baseline LDL-C after statin therapy. However, the change in absolute values of ΔLDL-C and achieved LDL-C should be interpreted in an individualized manner due to their complex collinearity, and statin intensity should also be taken into consideration.
他汀类药物治疗后监测低密度脂蛋白胆固醇(LDL-C)的临床指南并未根据他汀类药物的强度明确界定基线 LDL-C、ΔLDL-C 和达到的 LDL-C 的临床作用。我们对 Treating to New Target(TNT)研究进行了事后分析,以评估他汀类药物治疗后个体 LDL-C 参数。主要结局是全因主要不良心血管事件(MACE)的风险。我们使用重新采样多级中介分析基于相似的他汀类药物强度来分析 LDL-C 参数之间的复杂关系。基于类似他汀类药物强度,对样本 A(匹配的基线 LDL-C;不同的达到 LDL-C)、样本 B(匹配的 ΔLDL-C;不同的基线 LDL-C)和样本 C(匹配的达到 LDL-C;不同的 ΔLDL-C)进行三分位数分析。使用 Cox 比例风险比分析原始数据分析中总、低和高强度他汀类药物使用者中达到的 LDL-C 较低者 MACE 发生率降低(危险比 [HR]分别为 0.990、0.992 和 0.992;所有 P 值均<.001)。在中介分析中,样本 A 显示中等三分位组的 MACE 发生率始终较高(HR=1.237;95%置信区间 [CI]为 1.008-1.517;P 值=0.041)和最高三分位组(HR=1.275;95%CI=1.021-1.592;P 值=0.032)与最低三分位组相比。然而,样本 B 和 C 并未显示出一致的差异。同样,根据他汀类药物强度,MACE 也没有显示出一致的统计学差异。在他汀类药物治疗后具有相似基线 LDL-C 的参与者中,达到的 LDL-C 降低了 MACE。然而,由于 LDL-C 和达到的 LDL-C 的绝对值变化存在复杂的共线性,因此应根据个体情况进行解释,并且还应考虑他汀类药物的强度。