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Effects of patient characteristics on the efficacy of complete revascularization for treatment of ST-segment elevation myocardial infarction with multivessel disease: A meta-analysis.


ABSTRACT:

Background

Several randomized controlled trials (RCTs) have evaluated the efficacy of complete vs culprit-only revascularization for treatment of ST-segment elevation myocardial infarction (STEMI) with multivessel disease. However, the efficacy of complete revascularization vs culprit-only revascularization in some STEMI patient subgroups remains unclear.

Methods

We searched PubMed and Embase for related RCTs from the start date of databases to January 3, 2020. The endpoint assessed in this meta-analysis was major adverse cardiac events (MACE). Random-effects meta-analysis was conducted stratified by each of the 5 factors of interest (i.e., sex, age, history of diabetes, ECG infarct location, and the number of arteries with stenosis) to estimate pooled hazard ratio and 95% confidence interval. Random-effects meta-regression was conducted to assess subgroup differences. We examined publication bias by drawing funnel plots and performing Egger test. This meta-analysis is reported according to the PRISMA statement.

Results

Six RCTs were included for pooled analysis. Compared with culprit-only revascularization, complete revascularization significantly reduced the risk of MACE (hazard ratio 0.48, 95% confidence interval 0.42-0.55; I2 = 0%; P for relative effect < .001). This significant reduction in the risk of MACE exhibited by complete revascularization was observed in most of the subgroups of interest. All of the subgroup effects based on the 5 factors of interest were not statistically significant (Psubgroup ranged from 0.198 to 0.556). Publication bias was not suggested by funnel plots and Egger test.

Conclusions

Compared with culprit-only revascularization, complete revascularization significantly reduces the MACE risk in patients with STEMI and multivessel disease, which is independent of sex, age, history of diabetes, ECG infarct location, and the number of arteries with stenosis.

SUBMITTER: Li LF 

PROVIDER: S-EPMC8238282 | biostudies-literature |

REPOSITORIES: biostudies-literature

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