Suppr超能文献

依伐卡托改善血脂水平的疗效与安全性:随机对照试验的系统评价与荟萃分析

Efficacy and Safety of Evacetrapib for Modifying Plasma Lipids: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

作者信息

Sahebkar Amirhossein, Simental-Mendía Luis E, Guerrero-Romero Fernando, Golledge Jonathan, Watts Gerald F

机构信息

Predio Canoas 100, Col. Los Angeles 34067, Durango, Dgo., Mexico.

School of Medicine and Pharmacology University of Western Australia, GPO Box X2213, Perth, WA6847, Australia.

出版信息

Curr Pharm Des. 2016;22(5):595-608. doi: 10.2174/1381612822666151125000035.

Abstract

BACKGROUND

Evacetrapib, a new cholesteryl ester transfer protein inhibitor, is being investigated as a potential therapeutic option for reducing cardiovascular events through increasing high-density lipoprotein cholesterol (HDL-C) concentrations. How evacetrapib affects other lipid parameters is less certain. The present study aimed to estimate the effect of evacetrapib on plasma lipid concentrations and to assess its safety through a systematic review and meta-analysis of randomized controlled trials.

METHODS

SCOPUS, Medline, and Google Scholar were searched to identify randomized controlled trials investigating the impact of evacetrapib on blood lipid concentrations published before December 29, 2014. A random-effects model (using the DerSimonian-Laird method) and the generic inverse variance method were used to examine the effect of evacetrapib on plasma lipid concentrations. The safety of evacetrapib was assessed by comparing the pooled incidence of adverse events (total adverse events, adverse events leading to study discontinuation, elevations in hepatic and muscular enzymes and blood pressure) between treatment and placebo groups. Sensitivity analyses were conducted using the one study remove approach. Meta-regression was performed to evaluate the association between changes plasma lipid concentrations and administered doses of evacetrapib.

RESULTS

Meta-analysis of 14 randomized treatment arms over a mean of 2 months suggested that evacetrapib significantly reduces low-density lipoprotein cholesterol (LDL-C) (weighted mean difference [WMD]: -21.11%, 95% confidence interval (CI): -24.89, -17.33, p<0.001) and elevated HDL-C (WMD: +86.00%, 95% CI: +67.63, +104.37, p<0.001) concentrations following treatment with evacetrapib. Evacetrapib had no significant effect on plasma triglycerides (WMD: -2.97%, 95% CI: -8.63, +2.69, p = 0.303) concentrations. The effects of evacetrapib on all three lipid indices (LDL-C, HDL-C and triglycerides) did not differ between subsets of trials administering evacetrapib as monotherapy or as add-on to statin therapy. Meta-regression suggested a dose-dependent effect of evacetrapib on plasma LDL-C and HDL-C, but not triglycerides concentrations. Meta-analysis suggested equivalent rates of adverse events in subjects receiving evacetrapib and placebo.

CONCLUSION

Results of this meta-analysis suggested that evacetrapib, either as monotherapy or in combination with a statin, reduces LDL-C and increases HDL-C levels but has no effect on triglyceride concentrations. Adverse events appeared to be similar in subjects receiving evacetrapib and placebo in short-term follow-ups.

摘要

背景

依折麦布是一种新型胆固醇酯转运蛋白抑制剂,正作为一种潜在的治疗选择进行研究,旨在通过提高高密度脂蛋白胆固醇(HDL-C)浓度来降低心血管事件风险。依折麦布对其他血脂参数的影响尚不确定。本研究旨在通过对随机对照试验进行系统评价和荟萃分析,评估依折麦布对血浆脂质浓度的影响并评价其安全性。

方法

检索SCOPUS、Medline和谷歌学术,以识别2014年12月29日前发表的关于依折麦布对血脂浓度影响的随机对照试验。采用随机效应模型(使用DerSimonian-Laird方法)和通用逆方差法来检验依折麦布对血浆脂质浓度的影响。通过比较治疗组和安慰剂组不良事件(总不良事件、导致研究中断的不良事件、肝酶和肌酶升高以及血压升高)的合并发生率来评估依折麦布的安全性。采用逐一剔除研究的方法进行敏感性分析。进行Meta回归以评估血浆脂质浓度变化与依折麦布给药剂量之间的关联。

结果

对14个随机治疗组平均为期2个月的荟萃分析表明,依折麦布治疗后可显著降低低密度脂蛋白胆固醇(LDL-C)(加权平均差[WMD]:-21.11%,95%置信区间[CI]:-24.89,-17.33,p<0.001)并升高HDL-C(WMD:+86.00%,95%CI:+67.63,+104.37,p<0.001)浓度。依折麦布对血浆甘油三酯(WMD:-2.97%,95%CI:-8.63,+2.69,p = 0.303)浓度无显著影响。在将依折麦布作为单一疗法或与他汀类药物联合使用的试验亚组中,依折麦布对所有三项血脂指标(LDL-C、HDL-C和甘油三酯)的影响无差异。Meta回归表明依折麦布对血浆LDL-C和HDL-C有剂量依赖性影响,但对甘油三酯浓度无影响。荟萃分析表明接受依折麦布和安慰剂的受试者不良事件发生率相当。

结论

该荟萃分析结果表明依折麦布无论是作为单一疗法还是与他汀类药物联合使用,均可降低LDL-C并升高HDL-C水平,但对甘油三酯浓度无影响。在短期随访中,接受依折麦布和安慰剂的受试者不良事件似乎相似。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验