A retrospective analysis comparing metagenomic next-generation sequencing with conventional microbiology testing for the identification of pathogens in patients with severe infections

Our data indicated that mNGS had significant auxiliary value in the clinical diagnosis and treatment for critically ill patients, especially for those with negative CMT results and clinically undefined infections. mNGS could broaden the detection scope, especially for special pathogens, and improve the detection rate, providing powerful assistance for early clinical diagnosis and treatment.

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Publication Details

Journal
Frontiers in Cellular and Infection Microbiology
Published
2025-04-08
DOI
https://doi.org/10.3389/fcimb.2025.1530486
Citations
4
Primary Topic
Bacterial Identification and Susceptibility Testing
Type
article
Field-Weighted Citation Impact
5.27
Controls
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article

A retrospective analysis comparing metagenomic next-generation sequencing with conventional microbiology testing for the identification of pathogens in patients with severe infections

Xiaohang Hu, Mingrui Chen, Yu Qiao, Yuanyuan Qiao et al.
4 citations
Frontiers in Cellular and Infection Microbiology
Bacterial Identification and Susceptibility Testing
5.27
article

A retrospective analysis comparing metagenomic next-generation sequencing with conventional microbiology testing for the identification of pathogens in patients with severe infections

Xiaohang Hu, Mingrui Chen, Yu Qiao, Yuanyuan Qiao, Xiaowei Liu, Min Kong, Fei Hou, Ya Shi, Liqing Jiang
article en
4 citations

Abstract

Our data indicated that mNGS had significant auxiliary value in the clinical diagnosis and treatment for critically ill patients, especially for those with negative CMT results and clinically undefined infections. mNGS could broaden the detection scope, especially for special pathogens, and improve the detection rate, providing powerful assistance for early clinical diagnosis and treatment.

Frontiers in Cellular and Infection MicrobiologyVol. 15
Affiliated Hospital of Jining Medical University (CN), Jining Medical University (CN)
Openalex Percentile: Top 5%
Bacterial Identification and Susceptibility Testing
5.27
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A retrospective analysis comparing metagenomic next-generation sequencing with conventional microbiology testing for the identification of pathogens in patients with severe infections — Xiaohang Hu, Mingrui Chen, et al. · Frontiers in Cellular and Infection Microbiology (2025) | TGRS Research Map | TGRS