Detection of Pediatric Bacterial Meningitis Pathogens from Cerebrospinal Fluid by Next-Generation Sequencing Technology.

Detection of Pediatric Bacterial Meningitis Pathogens from Cerebrospinal Fluid by Next-Generation Sequencing Technology.

J Infect. 2018 Dec 11;:

Authors: Guo LY, Li YJ, Liu LL, Wu HL, Zhou JL, Zhang Y, Wen-yaFeng, Zhu L, Hu B, Hu HL, Chen TM, Guo X, Chen HY, Yang YH, Liu G

Abstract
OBJECTIVES: Bacterial meningitis remains one of the major challenges in infectious diseases, leading to sequel in many cases. A prompt diagnosis of the causative microorganism is critical to significantly improve outcome of bacterial meningitis. Although various targeted tests for cerebrospinal fluid (CSF) samples are available, it is a big problem for the identification of etiology of bacterial meningitis.
METHODS: Here we describe the use of unbiased sequence analyses by next-generation sequencing (NGS) technology for the identification of infectious microorganisms from CSF samples of pediatric bacterial meningitis patients in the Department of Infectious Diseases from Beijing Children's Hospital.
RESULTS: In total, we had 99 bacterial meningitis patients in our study, 55 (55.6%) of these were etiologically confirmed by clinical microbiology methods. NGS showed higher sensitivity and increased the positive rate of pathogen detection by 13.1%, and the positive rate of pathogen detection increased from 55.6% to 68.7%. The main pathogens identified in this study were Streptococcus pneumoniae (n=29), group B streptococcus (n=15), Staphylococcus aureus (n=7) and Escherichia coli (n=7).
CONCLUSIONS: NGS could be a promising alternative diagnostic approach for critically ill patients suffering from bacterial meningitis in pediatric population.

PMID: 30550819 [PubMed - as supplied by publisher]

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