Application of metagenomic next-generation sequencing in pathogen detection for patients with lower respiratory tract infections caused by multidrug-resistant organisms and analysis of related factors

Zhao, Yanqun and Mao, Rui and Zhong, Yanyun and Lu, Jinghui and Gong, Bo and Yi, Wenhua and Zeng, Zhihuan (2024) Application of metagenomic next-generation sequencing in pathogen detection for patients with lower respiratory tract infections caused by multidrug-resistant organisms and analysis of related factors. Acta Microbiologica et Immunologica Hungarica, 71 (4). pp. 273-279. ISSN 1217-8950

Preview

Text 030-article-p273.pdf - Published Version Available under License Creative Commons Attribution Non-commercial. Download (462kB) | Preview

Abstract

The incidence of lower respiratory tract infections (LRTIs) caused by multidrug-resistant organisms (MDRO) has been high in recent years. However, traditional etiological detection methods have not been able to meet the needs for clinical diagnosis and prognosis of LRTIs. The rapid development of metagenomic next-generation sequencing (mNGS) provides new insights for diagnosis and treatment of LRTIs. We conducted a retrospective study on 95 patients with lower respiratory tract infections caused by MDRO admitted to our respiratory department from January 2022 to December 2023. These patients underwent mNGS testing and conventional culture testing. Additionally, 150 patients without lower respiratory tract infections caused by MDRO during the same period were included as the non-MDRO group. General information was collected, and Logistic regression analysis was performed to identify risk factors for MDRO infections in patients with lower respiratory tract infections. Our results show that the time to pathogen detection by mNGS was 50.76 ± 1.730 h, that is significantly shorter than 55.53 ± 2.782 h required for conventional culture testing. The pathogen detection rate by mNGS was 89.47% (85/95), higher than the 67.37% (64/95) identified by conventional testing. In terms of pathogen genus distribution, mNGS detected a total of 279 pathogens, while conventional testing detected 121 pathogens. Logistic multivariate regression analysis identified that the use of more than two antibiotics, invasive procedures, invasive mechanical ventilation for ≥7 days, and stay in the respiratory intensive care unit (RICU) for ≥7 days were the main influencing factors for lower respiratory tract infections caused by MDRO (P < 0.05).

Actions (login required)

Edit Item