循环microRNA-1作为急性心肌梗死的诊断生物标志物:一项荟萃分析

Guangmei Li, Jiaye Zhao, Zeyu Zhou, Wenting Xu, Siming Wang, Qiyu Sun
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引用次数: 0

摘要

背景:本研究的目的是评价microRNA-1在急性心肌梗死(AMI)诊断中的诊断价值。方法:计算机检索PubMed、Embase、Cochrane、Web of science、CNKI等数据库,收集评价microRNA-1对AMI患者诊断价值的英文文献。检索期为数据库建立至2023年9月。两位研究者根据纳入和排除标准独立筛选文献,提取数据,并使用QUADAS-2工具评估纳入研究的偏倚风险。采用Stata15.0软件进行meta分析。计算综合敏感性、特异性、阳性似然比、阴性似然比、诊断优势比和SROC曲线下面积。结果:纳入文献11篇,纳入AMI患者894例,对照组600例。meta分析的主要结果如下:microRNA-1诊断AMI的合并敏感性和特异性分别为78% (95%CI: 0.69 ~ 0.85)和85% (95%CI: 0.76 ~ 0.91),阳性似然比为5.1 (95%CI: 3.0 ~ 8.6),阴性似然比为0.26 (95%CI: 0.17 ~ 0.38),诊断优势比为20 (95%CI: 9 ~ 47), SROC曲线下面积(AUC)为88% (95%CI: 0.85 ~ 0.91)。结论:血浆microRNA-1对早期AMI具有较高的敏感性和特异性,具有一定的诊断价值,有助于将AMI与其他全身性疾病患者区分开来,并可与其他生物标志物联合诊断AMI。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Circulating microRNA-1 as a diagnostic biomarker for acute myocardial infarction: a meta-analysis.

Background: The aim of this study was to evaluate the diagnostic performance of microRNA-1 in the diagnosis of acute myocardial infarction (AMI).

Methods: PubMed, Embase, Cochrane, Web of science and CNKI databases were searched by computer to collect English literature evaluating the diagnostic value of microRNA-1 in AMI patients. The retrieval period is from the establishment of the database to September 2023. Two researchers independently screened the literature according to inclusion and exclusion criteria, extracted data, and evaluated the risk of bias in the included studies using QUADAS-2 tools. Stata15.0 software was used for meta-analysis. The combined sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and area under the summary receiver operator characteristic (SROC) curve were calculated.

Results: This study included 11 pieces of literature, which included 894 patients with AMI and 600 controls. The main results of meta-analysis were as follows: The pooled sensitivity and specificity of microRNA-1 for the diagnosis of AMI were 78% (95% CI: 0.69-0.85) and 85% (95% CI: 0.76-0.91), respectively, the positive likelihood ratio was 5.1 (95%CI: 3.0-8.6), the negative likelihood ratio was 0.26 (95% CI: 0.17-0.38), the diagnostic odds ratio was 20 (95% CI: 9-47), and the area under the SROC curve (AUC) was 88% (95% CI: 0.85-0.91).

Conclusions: Plasma microRNA-1 has high sensitivity and specificity for early AMI, and has certain diagnostic value, which can help distinguish AMI from patients with other systemic diseases, and can be combined with other biomarkers to diagnose AMI.

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