Objective: Venous thromboembolism (VTE) is a common cardiovascular disease, in which pulmonary embolism (PE) is potentially life-threatening. Accurate biological markers for the early diagnosis of VTE are needed. The purpose of this study was to analyze and validate the predictive value of microRNAs for the diagnosis of VTE.
Methods: A comprehensive literature review was conducted using the PubMed, Embase, and Cochrane Library databases and is current through Sep 27, 2018. The diagnostic value of microRNAs for VTE was analyzed by creating a summary receiver operating characteristic curve (SROC) and calculating the area under the curve (AUC).
Results: Our analysis included 12 articles assessing a total of 1057 individuals. The most frequently researched microRNA was miR-134, and the pooled results of the predictive ability of this miRNA with 95% confidence intervals (CIs) showed an average sensitivity of 0.82 (0.69-0.91) and an average specificity of 0.83 (0.68-0.92). The average AUC for the SROC curves was 0.89 (0.86-0.92). For other microRNAs, AUC values >0.8 were considered as potential diagnostic indices. These microRNAs included miR-1233, miR-134, miR-145, miR-483-3p, miR-582, miR-532, and miR-195.
Conclusions: MicroRNAs may act as novel diagnostic biomarkers for VTE, and miR-1233, miR-134, miR-145, miR-483-3p, miR-582, miR-532, and miR-195 are prime candidates. Of these, research on miR-134 is the most extensive and reliable.
Keywords: Deep vein thrombosis; Diagnosis; Meta-analysis; Pulmonary embolism; Venous thromboembolism; microRNA.
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