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Diagnostic efficacy of metagenomic next generation sequencing in bronchoalveolar lavage fluid for proven invasive pulmonary aspergillosis

Authors :
Hongxia Jia
Hongping Liu
Meng Tu
Yan Wang
Xinjuan Wang
Jing Li
Guojun Zhang
Source :
Frontiers in Cellular and Infection Microbiology, Vol 13 (2023)
Publication Year :
2023
Publisher :
Frontiers Media S.A., 2023.

Abstract

ObjectiveTo assess the diagnostic efficacy of metagenomic next generation sequencing (mNGS) for proven invasive pulmonary aspergillosis (IPA).MethodsA total of 190 patients including 53 patients who had been diagnosed with proven IPA were retrospectively analyzed. Using the pathological results of tissue biopsy specimens as gold standard, we ploted the receiver operating characteristic (ROC) curve to determine the optimal cut-off value of mNGS species-specific read number (SSRN) of Aspergillus in bronchoalveolar lavage fluid (BALF)for IPA. Furthermore, we evaluated optimal cut-off value of mNGS SSRN in different populations.ResultsThe optimal cut-off value of Aspergillus mNGS SSRN in BALF for IPA diagnosis was 2.5 for the whole suspected IPA population, and 1 and 4.5 for immunocompromised and diabetic patients, respectively. The accuracy of mNGS was 80.5%, 73.7% and 85.3% for the whole population, immunocompromised and diabetic patients, respectively.ConclusionsThe mNGS in BALF has a high diagnostic efficacy for proven IPA, superioring to Aspergillus culture in sputum and BALF and GM test in blood and BALF. However, the cut-off value of SSRN should be adjusted when in different population.

Details

Language :
English
ISSN :
22352988
Volume :
13
Database :
Directory of Open Access Journals
Journal :
Frontiers in Cellular and Infection Microbiology
Publication Type :
Academic Journal
Accession number :
edsdoj.50f1191dd8ac43b8a568eacef1d1f1a3
Document Type :
article
Full Text :
https://doi.org/10.3389/fcimb.2023.1223576