Evidence map›Paper›PMID 39488700›Full record

ArticleBMC infectious diseases2024

High utility of bronchoalveolar lavage fluid metagenomic next-generation sequencing approach for etiological diagnosis of pneumonia.

Lingyu Jiang, Lin Han, Yonglong Zhong, Meng Zhang, Jianliang Li, Guanhua Rao, Shulin Xiang

Abstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Molecular analysis of carbapenem-resistantFrontiers in cellular and infection microbiology · 2026
    Article
  4. Article
  5. Review
  6. Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Lingyu Jiang *Department of Intensive Care Unit, People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Guangxi Zhuang Autonomous Region, Nangning, 530021, China.
Lin Han *Department of Intensive Care Unit, People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Guangxi Zhuang Autonomous Region, Nangning, 530021, China.
Yonglong ZhongDepartment of Thoracic Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Guangxi Zhuang Autonomous Region, Nangning, 530021, China.
Meng ZhangDepartment of Intensive Care Unit, People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Guangxi Zhuang Autonomous Region, Nangning, 530021, China.
Jianliang LiDepartment of Intensive Care Unit, People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Guangxi Zhuang Autonomous Region, Nangning, 530021, China.
Guanhua RaoGenskey Medical Technology, Beijing, China. gh.rao@genskey.com.
Shulin XiangDepartment of Intensive Care Unit, People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Guangxi Zhuang Autonomous Region, Nangning, 530021, China. beryl_x@126.com.

Funding

Guangxi Health and Wellness Commission Self-funded Project Z- A20220085Guangxi Science and Technology Base and Talent Special Project 2021AC04001the Science and Technology Project Foundation of Nanning 2020032Youth Science Foundation Project of Guangxi 2023GXNSFBA026096
6 · The paper itself

Abstract

backgroundFor patients with pneumonia, the rapid detection of pathogens is still a major global problem in clinical practice because traditional diagnostic techniques for infection are time-consuming and insensitive. Metagenomic next-generation sequencing (mNGS) is a novel technique that has the potential to improve pathogen diagnosis. This study aimed to investigate the microbiological diagnostic ability of mNGS compared with conventional culture and to determine the optimal time to test patients for pneumonia.

methodsA prospective study using data from June 2020 to June 2021 was performed at a tertiary teaching hospital in China. We included 56 patients from all adult patients with a clinical diagnosis of pneumonia. Blood and bronchoalveolar lavage fluid (BALF) samples were taken for simultaneous mNGS and conventional culture testing.

resultsAll 56 patients underwent both conventional culture and mNGS. Of these patients, 37 were diagnosed with severe pneumonia and 17 were diagnosed with non-severe pneumonia. The top three pathogenic bacteria detected by mNGS were Acinetobacter baumannii, Klebsiella pneumoniae, and Pseudomonas aeruginosa. Enterococcus faecium was detected more frequently in the non-severe pneumonia group (4 vs. 0, p < 0.05). The findings revealed that the detection rate of mNGS (84%) was superior to that of conventional culture methods (48%). Notably, the percentage of mNGS-positive BALF samples (46/56, 82.14%) was significantly greater than that of blood samples (27/56, 48.21%). The etiological comparison demonstrated that mNGS-positive samples, which received clinical approval, tended to be associated with a more normalized temperature, lower PCO2 levels, and a higher SOFA score than mNGS-negative samples (p = 0.022, p = 0.0.028, and p = 0.038, respectively).

conclusionsIn this study, we discovered that the etiology of lung infections frequently involves multiple pathogens. The use of mNGS in BALF is instrumental for detecting nonviral pathogens associated with lung infections. Although the rate of positive blood NGS results is significantly influenced by various clinical factors, for patients suspected of having viral, Legionella, or tsutsugamushi infections, plasma mNGS could serve as a complementary diagnostic tool.

Indexed as

Bronchoalveolar Lavage FluidHigh-Throughput Nucleotide SequencingMetagenomicsAdultAgedBacteriaChinaFemaleHumansMaleMiddle AgedPneumoniaPneumonia, BacterialProspective StudiesDiagnosticNext-generation sequencingPneumonia

Identifiers

PMID39488700
PMCPMC11531162

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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.