Efficacy and safety of bempedoic acid lipid-lowering therapy: a systematic review and meta-analysis of randomized controlled trials

European journal of clinical pharmacology(2023)

引用 0|浏览0
暂无评分
摘要
Aim This systematic review and meta-analysis was conducted to synthesize the efficacy and safety of bempedoic acid in patients requiring lipid-lowering therapy. Methods PubMed, Embase, and Scopus databases were searched for randomized controlled trials from inception till June 2023. The primary outcome was major adverse cardiovascular events (MACE), and secondary outcomes were all-cause mortality, serum lipid profile, and adverse events between bempedoic acid and comparators. ROB2 was used for risk of bias assessment. We pooled mean differences or relative risks (RR) along with 95% confidence intervals (random-effects model). Results Five-hundred and thirty-one studies were screened and 17 ( n = 21,131) were included for review. There was a significant reduction in the risk of MACE [RR, 0.88 (95% CI: 0.77 to 0.99), p = 0.03)] and all-cause mortality [RR, 0.90 (95% CI: 0.82 to 0.98), p = 0.02] following bempedoic acid treatment. Treatment with bempedoic acid led to a significant reduction in the mean serum total cholesterol [− 34.41 mg/dl (95% CI: − 42.43 to − 26.39), p < 0.001], low-density lipoprotein cholesterol (LDL-C) [− 33.91 mg/dl (95% CI: − 39.66 to − 28.17), p < 0.001], as well as high-density lipoprotein cholesterol (HDL-C) [− 2.40 mg/dl (95% CI: − 3.09 to − 1.71), p < 0.001] levels. However, there was a significant increase in the risk of hyperuricemia [RR, 2.05 (95% CI: 1.81 to 2.33), p < 0.001] following bempedoic acid treatment. The number needed to harm was large for all safety outcomes. The GRADE of evidence was moderate for all outcomes. Conclusion Bempedoic acid reduces the risk of MACE and all-cause mortality, lowers serum total cholesterol and LDL-C levels, and has a favorable safety profile. Trial registration ClinicalTrial.gov Identifier: CRD42023412837.
更多
查看译文
关键词
Bempedoic acid,Cardiovascular,Hypercholesterolemia,Hyperuricemia,Lipid profile
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要