Improving Suspected Pulmonary Infection Diagnosis by Bronchoalveolar Lavage Fluid Metagenomic Next-Generation Sequencing: a Multicenter Retrospective Study

作者：Xiao Jin, Juan Li, Mingyue Shao, Xuedong Lv, Ningfei Ji, Yehan Zhu, Mao Huang, Feichao Yu, Changwen Zhang, Lixu Xie, Jianling Huang, Sixi Chen, Changjun Zhu, Minjie Lv, Ganzhu Feng · 发表于：Microbiology Spectrum · 年份：2022 · DOI：10.1128/spectrum.02473-21 · 被引用次数：92 · 研究领域：Pneumonia and Respiratory Infections、Respiratory viral infections research、Antibiotic Resistance in Bacteria

Pulmonary infection is a heterogeneous and complex infectious disease with high morbidity and mortality worldwide. In clinical practice, a considerable proportion of the etiology of pulmonary infection is unclear, microbiological diagnosis being challenging. Metagenomic next-generation sequencing detects all nucleic acids in a sample in an unbiased manner, revealing the microbial community environment and organisms and improving the microbiological detection and diagnosis of infectious diseases in clinical settings. This study is the first multicenter, large-scale retrospective study based entirely on BALF for pathogen detection by mNGS, and it demonstrated the superior performance of mNGS for microbiological detection and diagnosis of suspected pulmonary infection, especially in infections of Mycobacterium tuberculosis, atypical pathogens, viruses, and fungi. It also demonstrated the pathogen distribution of pulmonary infections in the real world, guiding targeted treatment and improving clinical management and prognoses.