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Volume 14 Issue 5
Sep.  2023
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LU Minya, GUO Jiayu, ZHANG Dong, SU Huiting, GAO Yi, ZHAO Ying, YANG Qiweng, XU Yingchun. Analysis of the Clinical Value of Metagenomic Next-generation Sequencing in Central Nervous System Infection[J]. Medical Journal of Peking Union Medical College Hospital, 2023, 14(5): 1005-1010. DOI: 10.12290/xhyxzz.2023-0293
Citation: LU Minya, GUO Jiayu, ZHANG Dong, SU Huiting, GAO Yi, ZHAO Ying, YANG Qiweng, XU Yingchun. Analysis of the Clinical Value of Metagenomic Next-generation Sequencing in Central Nervous System Infection[J]. Medical Journal of Peking Union Medical College Hospital, 2023, 14(5): 1005-1010. DOI: 10.12290/xhyxzz.2023-0293
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Analysis of the Clinical Value of Metagenomic Next-generation Sequencing in Central Nervous System Infection

  • Department of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China

Funds: 

National High Level Hospital Clinical Research Funding 2022-PUMCH-B-074

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  • Corresponding author:

    YANG Qiweng, E-mail: yangqiwen81@vip.163.com

  • Received Date: June 14, 2023
  • Accepted Date: July 17, 2023
  • Available Online: August 24, 2023
  • Issue Publish Date: September 29, 2023
    Graphical Abstract
    • Abstract
  •   Objective  To evaluate the clinical value of metagenomic next-generation sequencing (mNGS) technology in the central nervous system (CNS) infection.
      Methods  Utilizing the Infectious Disease Metagenomic Testing Platform at Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, we conducted a retrospective analysis of clinical data, routine laboratory test results, and mNGS results of patients diagnosed with infectious CNS diseases from April to December 2022. The aim was to assess the diagnostic significance of mNGS technology in CNS infection.
      Results  Among 39 patients clinically with CNS infection, suspected pathogenic microorganism-specific sequences were detected in 29 cases (74.4%). Among them, 11 cases (37.9%) were positive for bacteria, 13 cases (44.8%) for viruses, 3 cases (10.3%) for fungi, 1 case (3.5%) for both bacteria and viruses, and 1 case (3.5%) for both fungi and viruses, yielding a positivity rate of 74.4%. Ten cases reported negative results, resulting in a false-negative rate of 25.6%. The positivity rate of mNGS was significantly higher than that of conventional clinical pathogen detection methods (including cerebrospinal fluid smears, cultures, pathogen antigens, and nucleic acid polymerase chain reactions), with rates of 74.4% compared to 23.7%, respectively.
      Conclusions  Compared to available conventional clinical pathogen detection methods, mNGS technology demonstrates a higher positivity rate in the diagnosis of infectious CNS diseases. This advancement could potentially contribute to the early diagnosis of CNS infection.
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    • References (24)
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