Back to Search Start Over

The Application of Metagenomic Next-Generation Sequencing in Detection of Pathogen in Bronchoalveolar Lavage Fluid and Sputum Samples of Patients with Pulmonary Infection.

Authors :
Shi W
Zhu S
Source :
Computational and mathematical methods in medicine [Comput Math Methods Med] 2021 Nov 08; Vol. 2021, pp. 7238495. Date of Electronic Publication: 2021 Nov 08 (Print Publication: 2021).
Publication Year :
2021

Abstract

Objective: To uncover the application value of metagenomic next-generation sequencing (mNGS) in the detection of pathogen in bronchoalveolar lavage fluid (BALF) and sputum samples.<br />Methods: Totally, 32 patients with pulmonary infection were included. Pathogens in BALF and sputum samples were tested simultaneously by routine microbial culture and mNGS. Main infected pathogens (bacteria, fungi, and viruses) and their distribution in BALF and sputum samples were analyzed. Moreover, the diagnostic performance of mNGS in paired BALF and sputum samples was assessed.<br />Results: The pathogen culture results were positive in 9 patients and negative in 13 patients. No statistical differences were recorded on the sensitivity (78.94% vs. 63.15%, p = 0.283) and specificity (62.50% vs. 75.00%, p = 0.375) of mNGS diagnosis in bacteria and fungus in two types of samples. As shown in mNGS detection, 10 patients' two samples were both positive, 13 patients' two samples were both negative, 7 patients were only positive in BALF samples, and 2 patients' sputum samples were positive. Main viruses mNGS detected were EB virus, human adenovirus 5, herpes simplex virus type 1, and human cytomegalovirus. Kappa consensus analysis indicated that mNGS showed significant consistency in detecting pathogens in two samples, no matter bacteria ( p < 0.001), fungi ( p = 0.026), or viruses ( p = 0.008).<br />Conclusion: mNGS showed no statistical differences in sensitivity and specificity of pathogen detection in BALF and sputum samples. Under certain conditions, sputum samples might be more suitable for pathogen detection because of invasiveness of BALF samples.<br />Competing Interests: The authors declare no conflicts of interest.<br /> (Copyright © 2021 Wanghui Shi and Shanshan Zhu.)

Details

Language :
English
ISSN :
1748-6718
Volume :
2021
Database :
MEDLINE
Journal :
Computational and mathematical methods in medicine
Publication Type :
Academic Journal
Accession number :
34790254
Full Text :
https://doi.org/10.1155/2021/7238495