Vol 25, No 2 (2018)
Original articles — Basic science and experimental cardiology
Published online: 2017-10-18

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Diagnostic performance of microRNA-133a in acute myocardial infarction: A meta-analysis

Lei Zhu1, Fuyuan Liu1, Hua Xie1, Jin Feng1
Pubmed: 29064535
Cardiol J 2018;25(2):260-267.

Abstract

 Background: The aim of this study was to evaluate the diagnostic performance of microRNA-133a in the diagnosis of acute myocardial infarction (AMI).

Methods: Major databases including PubMed, Embase and the Cochrane Library were searched for case-controlled studies comparing AMI and non-AMI patients. The outcome was evaluated by the relative expression of microRNA-133a in plasma or serum. The Mantel-Haenszel odds ratio (OR) was calculated using a fixed-effects model meta-analysis for the outcome. The primary outcomes of interest were pooled sensitivity, specificity and diagnostic accuracy of microRNA-133a for AMI.

Results: Out of 137 identified related articles, 10 were found to conform with the inclusion and ex­clusion criteria of the study. The 10 case-controlled studies contained complete data for 1,074 patients (with no restrictions of race, age or sex), and a database containing 137 patients from the registry of each study. In addition to low heterogeneity, a statistically significant increase was found in overall microRNA-133a expression between AMI vs. non-AMI; the pooled OR was 22.84 (95% confidence interval [CI] 13.87–37.63), sensitivity was 0.84 (95% CI 0.75–0.90), specificity was 0.82 (95% CI 0.74–0.89) and area under curve (AUC) was 0.90 (95% CI 0.87–0.92).

Conclusions: Based on the meta-analysis of ten case-controlled studies including 1,074 patients,it was found that the level of microRNA-133a in blood serum or plasma maybe used as a diagnostic biomarker of AMI.

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