Literature DB >> 33381092

Metagenomic Next-Generation Sequencing of Cerebrospinal Fluid for the Diagnosis of External Ventricular and Lumbar Drainage-Associated Ventriculitis and Meningitis.

Lingye Qian1, Yijun Shi1, Fangqiang Li1, Yufei Wang1, Miao Ma1, Yanfang Zhang1, Yang W Shao2,3, Guanghui Zheng1, Guojun Zhang1.   

Abstract

Metagenomic next-generation sequencing (mNGS) has become a widely used technology that can accurately detect individual pathogens. This prospective study was performed between February 2019 and September 2019 in one of the largest clinical neurosurgery centers in China. The study aimed to evaluate the performance of mNGS on cerebrospinal fluid (CSF) from neurosurgical patients for the diagnosis of external ventricular and lumbar drainage (EVD/LD)-associated ventriculitis and meningitis (VM). We collected CSF specimens from neurosurgical patients with EVD/LD for more than 24 h to perform conventional microbiological studies and mNGS analyses in a pairwise manner. We also investigated the usefulness of mNGS of CSF for the diagnosis of EVD/LD-associated VM. In total, 102 patients were enrolled in this study and divided into three groups, including confirmed VM (cVM) (39), suspected VM (sVM) (49), and non-VM (nVM) (14) groups. Of all the patients, mNGS detected 21 Gram-positive bacteria, 20 Gram-negative bacteria, and five fungi. The three primary bacteria detected were Staphylococcus epidermidis (9), Acinetobacter baumannii (5), and Staphylococcus aureus (3). The mNGS-positive coincidence rate of confirmed EVD/LD-associated VM was 61.54% (24/39), and the negative coincidence rate of the nVM group was 100% (14/14). Of 15 VM pathogens not identified by mNGS in the cVM group, eight were negative with mNGS and seven were inconsistent with the conventional microbiological identification results. In addition, mNGS identified pathogens in 22 cases that were negative using conventional methods; of them, 10 patients received a favorable clinical treatment; thus, showing the benefit of mNGS-guided therapy.
Copyright © 2020 Qian, Shi, Li, Wang, Ma, Zhang, Shao, Zheng and Zhang.

Entities:  

Keywords:  EVD; LD; diagnosis; metagenomic next-generation sequencing (mNGS); ventriculitis and meningitis

Year:  2020        PMID: 33381092      PMCID: PMC7767851          DOI: 10.3389/fmicb.2020.596175

Source DB:  PubMed          Journal:  Front Microbiol        ISSN: 1664-302X            Impact factor:   5.640


  5 in total

1.  The clinical value of valve metagenomic next-generation sequencing when applied to the etiological diagnosis of infective endocarditis.

Authors:  Sishi Cai; Ye Yang; Jue Pan; Qing Miao; Wenting Jin; Yuyan Ma; Chunmei Zhou; Xiaodong Gao; Chunsheng Wang; Bijie Hu
Journal:  Ann Transl Med       Date:  2021-10

Review 2.  Current Perspectives on the Diagnosis and Management of Healthcare-Associated Ventriculitis and Meningitis.

Authors:  Marios Karvouniaris; Alexandros Brotis; Konstantinos Tsiakos; Eleni Palli; Despoina Koulenti
Journal:  Infect Drug Resist       Date:  2022-02-28       Impact factor: 4.003

3.  Application of metagenomic next-generation sequencing in the detection of pathogens in bronchoalveolar lavage fluid of infants with severe pneumonia after congenital heart surgery.

Authors:  Yi-Rong Zheng; Shi-Hao Lin; Yu-Kun Chen; Hua Cao; Qiang Chen
Journal:  Front Microbiol       Date:  2022-08-05       Impact factor: 6.064

4.  Metagenomics next-generation sequencing for the diagnosis of central nervous system infection: A systematic review and meta-analysis.

Authors:  Chunrun Qu; Yu Chen; Yuzhen Ouyang; Weicheng Huang; Fangkun Liu; Luzhe Yan; Ruoyu Lu; Yu Zeng; Zhixiong Liu
Journal:  Front Neurol       Date:  2022-09-20       Impact factor: 4.086

5.  Inconsistency analysis between metagenomic next-generation sequencing results of cerebrospinal fluid and clinical diagnosis with suspected central nervous system infection.

Authors:  Jin Wang; Jun Ye; Liqi Yang; Xiangfeng Chen; Haoshu Fang; Zhou Liu; Guomei Xia; Yafei Zhang; Zhenhua Zhang
Journal:  BMC Infect Dis       Date:  2022-09-30       Impact factor: 3.667

  5 in total

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