Evidence map›Paper›PMID 40432811›Full record

ArticleInfection and drug resistance2025

Diagnostic Performance of Clinical Metagenomic Next-Generation Sequencing for Suspected Central Nervous System Infections in a Municipal Hospital: A Retrospective Study in China.

Huimin Wang, Jianting Zhao, Xueyao Wang, Miaomiao Li, Tiantian Hu, Huan Xu, Min Dong, Wenlong He, Zhenyong Che

Abstract read
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Article in Infection and drug resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Huimin Wang *Special Need Wards (Department of Neurology and Geriatrics), Xinxiang Central Hospital, Xinxiang, Henan Province, People's Republic of China.
Jianting Zhao *Department of Neurology, Xinxiang Central Hospital, Xinxiang, Henan Province, People'sRepublic of China.
Xueyao WangDepartment of Neurology, the Fourth Clinical College of Xinxiang Medical University, Xinxiang, Henan Province, People's Republic of China.
Miaomiao LiDepartment of Neurology, the Fourth Clinical College of Xinxiang Medical University, Xinxiang, Henan Province, People's Republic of China.
Tiantian HuDepartment of Neurology, the Fourth Clinical College of Xinxiang Medical University, Xinxiang, Henan Province, People's Republic of China.
Huan XuDepartment of Scientific Affairs, Vision Medicals Center for Infectious Diseases, Guangzhou, Guangdong Province, People's Republic of China.
Min DongSpecial Need Wards (Department of Neurology and Geriatrics), Xinxiang Central Hospital, Xinxiang, Henan Province, People's Republic of China.
Wenlong HeDepartment of Neurointervention, Xinxiang Central Hospital, Xinxiang Medical University, Xinxiang, Henan Province, People's Republic of China.
Zhenyong CheDepartment of Neurology, Xinxiang Central Hospital, Xinxiang, Henan Province, People'sRepublic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Cerebrospinal fluid (CSF) metagenomic next-generation sequencing (mNGS) has the potential to identify the majority of pathogens in a single test. Accurate pathogen identification is vital for central nervous system infection (CNSi). However, there are few related studies investigating in a municipal hospital. Patients and Methods: A total of 52 suspected CNSi patients were retrospectively recruited in Xinxiang central hospital between July 2019 and April 2023. The diagnostic performance of CSF mNGS, conventional microbiological tests (CMT), and the combination of CSF mNGS and CMT were evaluated by comparing to the final diagnosis. Results: Among 52 suspected CNSi patients, 35 were diagnosed as CNSi. In comparison to the final diagnosis, the area under curves (AUC) for CSF CMT, CSF mNGS, and the combination of CMT and mNGS for the diagnosis of CNSi were 0.56 (95% CI 0.4-0.72), 0.74 (95% CI 0.61-0.84), and 0.76 (95% CI 0.63-0.88), respectively. The sensitivities were 11.43% (95% CI 4.54%-25.95%), 48.57% (95% CI 32.99%-64.43%), and 51.43% (95% CI 35.57%-67.01%), respectively. The accuracy was 40.38 (95% CI 27.01%-54.90%), 65.38% (95% CI 50.91%-78.03%), and 67.31% (95% CI 52.89%-79.67%), respectively. Furthermore, based on CSF mNGS results, seven patients confirmed initial treatment, two escalated, and one de-escalated. Additionally, we identified the optimal cutoff values as 1.75 U/L for CSF adenosine deaminase (ADA), 75.44 U/L for CSF protein, and 185 mmH Conclusion: CSF mNGS showed superior diagnostic performance in CNSi and hence could serve as a complementary tool to CMT and conjunctively guide the precision therapy. Additionally, the values for CSF ADA, protein and pressure could assist in predicting mNGS positive result. With technical improvements for mNGS sample processing to increase throughput and reduce costs, clinicians may use mNGS more widely in municipal hospital laboratories.

Indexed as

CMTCNS infectionsconventional microbiological testsCSFmNGS

Identifiers

PMID40432811
PMCPMC12106916

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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.