Evidence map›Paper›PMID 39572618›Full record

ArticleScientific reports2024

Effect of metagenomic next-generation sequencing on clinical outcomes in adults with severe pneumonia post-cardiac surgery: a single-center retrospective study.

Chunlin Xiang, Xiaoxiao Wu, Tianlong Li, Xuemei Tang, Yi Zhang, Fei Zeng, Hongyu Xiang, Tingrui Chen, Zheng Kuang, Fengchun Liu and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Chunlin Xiang *Department of Intensive Care Unit, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China.
Xiaoxiao Wu *Department of Intensive Care Unit, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China.
Tianlong LiDepartment of Intensive Care Unit, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China.
Xuemei TangDepartment of Intensive Care Unit, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China.
Yi ZhangDepartment of Intensive Care Unit, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China.
Fei ZengDepartment of Intensive Care Unit, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China.
Hongyu XiangDepartment of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Medicine, Sichuan Academy of Medical Sciences, University of Electronic Science and Technology of China, Chengdu, China.
Tingrui ChenDepartment of Intensive Care Unit, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China.
Zheng KuangDepartment of Intensive Care Unit, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China.
Fengchun LiuDepartment of Intensive Care Unit, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China.
Tingyu YangDepartment of Intensive Care Unit, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China.
Xiaoyu ChenDepartment of Intensive Care Unit, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China.
Jingjing ChenDepartment of Intensive Care Unit, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China.
Ying WuDepartment of Intensive Care Unit, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China.
Xiaobo HuangDepartment of Intensive Care Unit, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China.
Yi WangDepartment of Intensive Care Unit, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China.
Chun PanDepartment of Intensive Care Unit, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China.
Yiping WangDepartment of Intensive Care Unit, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China. wangyiping@uestc.edu.cn.

Funding

Sichuan Science and Technology Department Grant no.2021YFS0380
6 · The paper itself

Abstract

Reports on the application of metagenomic next-generation sequencing (mNGS) in adult patients with severe pneumonia after cardiac surgery remain limited. This study aimed to evaluate the clinical outcomes of mNGS analysis of bronchoalveolar lavage fluid (BALF) in such patients.A retrospective cohort study was conducted on adult patients with severe pneumonia after cardiac surgery. Samples were collected from patients in the surgical intensive care unit (SICU) of Sichuan Provincial People's Hospital between January 2019 and March 2024. Upon diagnosis of severe pneumonia, bronchoalveolar lavage fluid was obtained via bronchoscopy within 24 h. The mNGS group was composed of patients tested using mNGS and conventional microbiological tests. BALF was detected only by the conventional microbiological test (CMT) method in the CMT group, which involved examining bacterial and fungal smears and cultures at least. We reviewed a total of 4,064 cardiac surgeries, and based on the inclusion criteria, a total of 113 adult patients with severe pneumonia after cardiac surgery were included in this study. The overall positive rate detected by mNGS was significantly higher than that of the culture method (98% vs. 58%, P<0.0001). After receipt of the microbiological results, the mNGS group exhibited a higher incidence of antibiotic adjustments in comparison to the CMT group (P = 0.0021). After adjusting the treatment plan based on microbial testing results, the mNGS group showed an improvement in ventilator-free days within 28 days (P = 0.0475), with a shorter duration of invasive ventilation compared to the CMT group (P = 0.0208). The detection of mNGS can significantly improve the Acute Physiology and Chronic Health Evaluation-II (APACHE II) score (P = 0.0161) and Sequential Organ Failure Assessment (SOFA) score (P = 0.0076) on the 7th day after admission to the SICU. In this study, the mNGS group showed signs of having a positive impact on the length of stay in ICU (median: 9 days, IQR: 7-10 days vs. median: 10 days, IQR: 8-13.75 days, P = 0.0538), length of stay in Hospital (median: 20 days, IQR: 17-28 days vs. median: 25 days, IQR: 18-29 days, P = 0.1558), mortality in 28 days (19% vs. 20%, P = 0.8794), in-hospital mortality (19% vs. 22%, P = 0.7123); however, statistical analysis did not confirm these differences to be significant. mNGS could serve as a valuable complement to conventional diagnostic approaches in adult patients with severe pneumonia after cardiac surgery, potentially improving diagnostic accuracy and leading to more precise and timely interventions, with significant potential to inform clinical decision-making and enhance patient outcomes.

Indexed as

Cardiac Surgical ProceduresHigh-Throughput Nucleotide SequencingMetagenomicsPneumoniaAdultAgedBronchoalveolar Lavage FluidFemaleHumansIntensive Care UnitsMaleMiddle AgedPostoperative ComplicationsRetrospective StudiesBronchoalveolar lavage fluidCardiac surgeryMetagenomic next-generation sequencingPathogenSevere pneumonia

Identifiers

PMID39572618
PMCPMC11582676

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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.