Evidence map›Paper›PMID 40268850›Full record

ArticleInfection2025

Clinical impact of bronchoalveolar lavage fluid metagenomic next-generation sequencing in immunocompromised patients with severe community-acquired pneumonia in ICU: a multicenter retrospective study.

Junjie Zhao, Runxi Zhuge, Bangchuan Hu, Yesong Wang, Xingxing Wang, Yi Zhang, Lingmin Yuan, Canhu Qiu, Youqin Yan, Xiaojing Zhang and 10 more

Abstract readMulticenter Study
In one paragraph

Article in Infection, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Junjie ZhaoZhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China.
Runxi ZhugeShanghai Medical College, Fudan University, 200032, Shanghai, China.
Bangchuan HuDepartment of Critical Care Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China.
Yesong WangDepartment of Critical Care Medicine, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China.
Xingxing WangDepartment of Critical Care Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, Zhejiang, China.
Yi ZhangDepartment of Critical Care Medicine, Quzhou Kecheng People's Hospital, Quzhou, 324000, Zhejiang, China.
Lingmin YuanDepartment of Critical Care Medicine, Longyou County People's Hospital, Quzhou, 324499, Zhejiang, China.
Canhu QiuDepartment of Critical Care Medicine, Jiangshan People's Hospital, Quzhou, 324199, Zhejiang, China.
Youqin YanDepartment of Critical Care Medicine, People's Hospital of Changshan County, Quzhou, 324200, Zhejiang, China.
Xiaojing ZhangWillingMed Technology Beijing Co., Ltd, Beijing, 101103, China.
Zhidan HuaDepartment of Pulmonary and Critical Care Medicine, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, 324000, Zhejiang, China.
Jing TangZhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China.
Kai GuoZhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China.
Yong SunZhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China.
Kaiyu WangDepartment of Critical Care Medicine, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, 324000, Zhejiang, China.
Liyan QiuQuzhou TCM Hospital, Junction of Four Provinces Affiliated to Zhejiang Chinese Medical University, Quzhou, 324000, Zhejiang, China.
Jian LuoDepartment of Critical Care Medicine, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, 324000, Zhejiang, China.
Weiwen ZhangDepartment of Critical Care Medicine, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, 324000, Zhejiang, China.
Jiancheng ZhugeQuzhou TCM Hospital, Junction of Four Provinces Affiliated to Zhejiang Chinese Medical University, Quzhou, 324000, Zhejiang, China. 2456958062@qq.com.
Honglong FangDepartment of Critical Care Medicine, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, 324000, Zhejiang, China. fang124113@163.com.

Funding

Quzhou Bureau of Science and Technology 2022K71The Project of Zhejiang Provincial Department of Health 2023KY1296
6 · The paper itself

Abstract

backgroundAn increasing number of critically ill patients are immunocompromised. These patients are at high risk of intensive care unit (ICU) admission because of numerous complications. Acute respiratory failure due to severe community-acquired pneumonia (SCAP) is one of the leading causes of admission. Early targeted antibiotic therapy is crucial for improving the prognosis of these patients. Metagenomic next-generation sequencing (mNGS) in bronchoalveolar lavage fluid (BALF) has shown significant value in pathogen detection in recent years. However, there are few studies on summarizing pathogen profiles of SCAP in immunocompromised patients.

methodsWe performed a multicenter retrospective analysis of patients with SCAP in the ICU diagnosed between May 2021 to October 2024. Bronchoalveolar lavage fluid (BALF), blood, and sputum samples were collected and subjected to mNGS and conventional microbiological tests (CMTs). The pathogen profiles detected by the two methods were compared.

resultsIn our study, compared to CMTs, mNGS increased the detection rates of mixed infections in the immunocompromised group (58.82% vs 17.96%, P < 0.05) and immunocompetent group (44.58% vs 18.72%, P < 0.05), while also reducing the rate of no pathogen detected (4.90% vs 38.73%, P < 0.05; 8.37% vs 32.76%, P < 0.05). In both groups, the proportion of positive clinical impacts (diagnosis) resulting from mNGS results exceeded 90% (96.57% vs 93.84%), and the treatment effectiveness rate in the immunocompromised group was higher than in the immunocompetent group (65.69% vs 56.40%, P < 0.05). Further analysis showed that when mNGS-guided treatment was effective, the 28-day mortality rate significantly improved in both the immunocompromised group (31.34% vs 74.29%, P < 0.05) and the immunocompetent group (42.36% vs 40.68%, P < 0.05) compared to when the treatment was ineffective.

conclusionThis study indicates that ICU patients with SCAP, particularly those who are immunocompromised, are more likely to have polymicrobial infections. mNGS in BALF provides rapid and comprehensive pathogen profiling of pulmonary infections, thereby having a positive impact on both the diagnosis, treatment and prognosis of immunocompromised patients with SCAP.

Indexed as

Bronchoalveolar Lavage FluidCommunity-Acquired InfectionsHigh-Throughput Nucleotide SequencingImmunocompromised HostMetagenomicsPneumoniaAdultAgedCommunity-Acquired PneumoniaFemaleHumansIntensive Care UnitsMaleMiddle AgedRetrospective StudiesBronchoalveolar lavage fluidEtiologyMetagenomic next-generation sequencingSevere community-acquired pneumonia

Identifiers

PMID40268850
PMCPMC12460554

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Registered trials

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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.