Evidence map›Paper›PMID 41426285›Full record

ArticleInfection and drug resistance2025

Metagenomic Next-Generation Sequencing of Bronchoalveolar Lavage Fluids Improves Pathogen Detection and Antimicrobial Stewardship in Lower Respiratory Tract Infections: A Retrospective Study.

Xiangsong Ma, Qinqin Zhang, Xuelian Ji, Yun Xia, Ju Cao, Xiuyu Xu

Abstract read
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Article in Infection and drug resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiangsong MaDepartment of Laboratory Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Qinqin ZhangDepartment of Laboratory Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Xuelian JiDepartment of Laboratory Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Yun XiaDepartment of Laboratory Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People's Republic of China.ORCID 0000-0003-3136-8548
Ju CaoDepartment of Laboratory Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Xiuyu XuDepartment of Laboratory Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: With the advancement of metagenomic next-generation sequencing (mNGS), its role in diagnosing lower respiratory tract infections (LRTIs) has expanded rapidly. LRTIs remain a major global health burden, particularly in critically ill patients where diagnosis is challenging. Routine microbiological testing (RMT), including culture, microscopy, antigen detection, and PCR-are limited by low sensitivity, long turnaround times, and restricted pathogen coverage. This study assesses the diagnostic performance of mNGS in LRTIs, with emphasis on pathogen detection and resistance gene prediction, and compares it with traditional methods to clarify its clinical benefits and limitations. Methods: This retrospective study included 367 hospitalized patients with suspected LRTIs. All patients underwent mNGS testing, which was compared with traditional diagnostic methods. We also used mNGS to explore the pathogen spectrum characteristics in critically ill patients with pneumonia and evaluated its applicability in predicting antimicrobial resistance genes and adjusting antibiotic treatment. Results: For patients diagnosed with LRTIs, mNGS demonstrated superior microbial detection efficacy, particularly for bacteria and fungi, relative to culture (bacteria: 56.58% vs 17.37%, Conclusion: mNGS is an effective tool for diagnosing LRTIs, with significantly higher pathogen detection rates than traditional methods. mNGS also demonstrates high accuracy in predicting antimicrobial resistance, providing crucial support for clinical treatment decisions.

Indexed as

antimicrobial resistancediagnosisLRTIsmNGSpathogens

Identifiers

PMID41426285
PMCPMC12715803

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.