Diagnostic performance of metagenomic next-generation sequencing for the detection of pathogens in bronchoalveolar lavage fluid in patients with pulmonary infections: Systematic review and meta-analysis

Abstract

Objectives: Identifying pathogens in patients with pulmonary infection (PI) has always been a major challenge in medicine. Compared with sputum and throat swabs, bronchoalveolar lavage fluid (BALF) can better reflect the actual state of the lungs. However, there has not been a meta-analysis of the diagnostic efficacy of metagenomic next-generation sequencing (mNGS) in detecting pathogens in BALF from patients with PIs. Methods: Data sources were PubMed, Web of Science, Embase, and the China National Knowledge Infrastructure. The pooled sensitivity and specificity were estimated using random-effects or fixed-effect models. Subgroup analysis was performed to reveal the effect of potential explanatory factors on the diagnostic performance measures. Results: The pooled sensitivity was 78% (95% confidence interval [CI]: 67-87%; I2 = 92%) and the pooled specificity was 77% (95% CI: 64-94%; I2 = 74%) for mNGS. Subgroup analyses for the sensitivity of mNGS revealed that patients with PIs who were severely ill or immunocompromised significantly affected heterogeneity (P < 0.001). The positive detection rate of mNGS for pathogens in BALF of severely or immunocompromised pulmonary-infected patients was 92% (95% CI: 78-100%). Conclusion: mNGS has high diagnostic performance for BALF pathogens in patients with PIs, especially in critically ill or immunocompromised patients.

Keywords

• Diagnosis
• Bronchoalveolar lavage fluid
• Metagenomic next-generation sequencing
• Pulmonary infection
• Meta-analysis