Evidence map›Paper›PMID 40468429›Full record

Observational studyCritical care (London, England)2025

Performance of broad-spectrum targeted next-generation sequencing in lower respiratory tract infections in ICU patients: a prospective observational study.

Chuanxi Chen, Ruizhi Wang, Bilin Wei, Yili Chen, Dejian Gu, Jiangze Xu, Huifang Zheng, Zimeng Xu, Linfang Ding, Xiaonan Chen and 8 more

Abstract readObservational Study
In one paragraph

Observational study in Critical care (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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  10. Precise pathogen detection and clinical characterization of bronchiectasis.Frontiers in cellular and infection microbiology · 2025
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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

18 authors.

Chuanxi Chen *Department of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshan Er Road, Guangzhou, Guangdong, China.
Ruizhi Wang *Department of Laboratory Medicine, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshan Er Road, Guangzhou, Guangdong, China.
Bilin Wei *Department of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshan Er Road, Guangzhou, Guangdong, China.
Yili ChenDepartment of Laboratory Medicine, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshan Er Road, Guangzhou, Guangdong, China.
Dejian GuGeneplus-Beijing Co., Ltd., Beijing, China.
Jiangze XuDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshan Er Road, Guangzhou, Guangdong, China.
Huifang ZhengDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshan Er Road, Guangzhou, Guangdong, China.
Zimeng XuDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshan Er Road, Guangzhou, Guangdong, China.
Linfang DingDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshan Er Road, Guangzhou, Guangdong, China.
Xiaonan ChenGeneplus-Beijing Co., Ltd., Beijing, China.
Lihua XiaoDepartment of Laboratory Medicine, Yingjiang County People's Hospital, Dehong, Yunnan, China.
Liping BaiDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshan Er Road, Guangzhou, Guangdong, China.
Zimeng LiuDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshan Er Road, Guangzhou, Guangdong, China.
Yongjun LiuDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshan Er Road, Guangzhou, Guangdong, China.
Minying ChenDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshan Er Road, Guangzhou, Guangdong, China.
Peisong ChenDepartment of Laboratory Medicine, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshan Er Road, Guangzhou, Guangdong, China. chps@mail3.sysu.edu.cn.
Xiangdong GuanDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshan Er Road, Guangzhou, Guangdong, China. guanxd@mail.sysu.edu.cn.
Jianfeng WuDepartment of Critical Care Medicine, The First Affiliated Hospital, Sun Yat-Sen University, No.58 Zhongshan Er Road, Guangzhou, Guangdong, China. wujianf@mail.sysu.edu.cn.

Funding

Guangdong Natural Science Foundation 2023A1515011252the Guangdong Clinical Research Center for Critical Care Medicine 2020B1111170005the Key Areas R&D Program of Guangdong 2023B1515230005the National Natural Science Foundation of China 82272186the Sun Yat-sen University Clinical Research Program 5010 2024006
6 · The paper itself

Abstract

purposeTargeted next-generation sequencing (tNGS) has emerged as an advanced diagnostic technique. While tNGS is increasingly recognized as a valuable tool for detecting infections, its most relevant clinical indications remain underdefined. This study aimed to evaluate the clinical utility of tNGS for lower respiratory tract infections (LRTIs).

methodsWe conducted a prospective, observational study to evaluate the clinical diagnostic value of broad-spectrum targeted Next-Generation Sequencing (bstNGS) covering 1872 microorganisms in critically ill patients with LRTIs. We compared the microbial detection performance of bstNGS, mNGS, and traditional culture methods in bronchoalveolar lavage fluid (BALF). Additionally, we used the odds ratio (OR) from multiple logistic regression to assess the impact of relevant clinical variables on the detection of pathogens by bstNGS. We also examined the correlation between bstNGS pathogen detection results and clinical outcomes.

resultsBetween August 23, 2023, and April 24, 2024, samples from 150 patients were analyzed. bstNGS detected 96.33% and 91.15% of the microorganisms discovered by mNGS and culture respectively, and was capable of identifying microorganisms with even lower loads. According to the diagnostic criteria, bstNGS, mNGS, and culture methods detected pathogens in 87.33%, 82.00%, and 46.00% of the samples respectively. Moreover, the NGS methods demonstrated a stronger pathogen detection ability compared to culture (p < 0.05). Further comparing the diagnostic performance of the three methods, bstNGS exhibited higher diagnostic accuracy than both mNGS (90.67% vs 86.00%, p < 0.05) and culture (90.67% vs 49.33%, p < 0.0001). Multivariate analysis revealed that immunocompromise was associated with a lower efficiency of pathogen detection by bstNGS (p = 0.04), while other included clinical features had no significant correlation with bstNGS detection. Additionally, compared with patients in whom no pathogen was detected, patients in whom a pathogen was detected by bstNGS were associated with better outcomes of antibiotic treatment (89.68% vs. 62.50%; OR 7.53, 95% CI 1.41-45.30; p = 0.02).

conclusionThis study shows the effectiveness of bstNGS in detecting pathogens of LRTIs, as well as its value as a potential auxiliary diagnostic method in the ICU.

Indexed as

High-Throughput Nucleotide SequencingRespiratory Tract InfectionsAdultAgedBronchoalveolar Lavage FluidFemaleHumansIntensive Care UnitsMaleMiddle AgedProspective StudiesCapture probe enrichmentLower respiratory tract infectionsmNGSPathogentNGS

Identifiers

PMID40468429
PMCPMC12139122

What OpenQuestion holds

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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.