Blood miRNAs as Potential Diagnostic Biomarkers for Chronic Obstructive Pulmonary Disease: A Meta-Analysis

Abstract

Purpose: Investigate the efficacy of blood microRNAs (miRNAs) as diagnostic biomarkers for Chronic Obstructive Pulmonary Disease (COPD).
Patients and Methods: We conducted a comprehensive search in English and Chinese databases, selecting studies based on predetermined criteria. Diagnostic parameters like summarized sensitivity (SSEN), summarized specificity (SSPE), summarized positive likelihood ratio (SPLR), summarized negative likelihood ratio (SNLR), and diagnostic odds ratio (DOR), and area under the curve (AUC) of the summary receiver operating characteristic (SROC) curves were analyzed using a bivariate model. Each parameter was accompanied by a 95% confidence interval (CI).
Results: Eighteen high-quality studies were included. For diagnosing COPD with blood miRNAs, the SSEN was 0.83 (95% CI 0.76– 0.89), SSPE 0.76 (95% CI 0.70– 0.82), SPLR 3.50 (95% CI 2.66– 4.60), SNLR 0.22 (95% CI 0.15– 0.33), DOR 15.72 (95% CI 8.58– 28.77), and AUC 0.86 (95% CI 0.82– 0.88). In acute exacerbations, SSEN was 0.85 (95% CI 0.76– 0.91), SSPE 0.80 (95% CI 0.73– 0.86), SPLR 4.26 (95% CI 3.05– 5.95), SNLR 0.19 (95% CI 0.12– 0.30), DOR 22.29 (95% CI 11.47– 43.33), and AUC 0.89 (95% CI 0.86– 0.91).
Conclusion: Blood miRNAs demonstrate significant accuracy in diagnosing COPD, both in general and during acute exacerbations, suggesting their potential as reliable biomarkers.

Keywords: miRNAs, chronic obstructive pulmonary disease, biomarker, meta-analysis, diagnosis