Metagenomic next-generation sequencing technology for detection of pathogens in blood of critically ill patients

被引:55
|
作者
Geng, Shike [1 ]
Mei, Qing [2 ]
Zhu, Chunyan [2 ]
Fang, Xiaowei [2 ]
Yang, Tianjun [2 ]
Zhang, Lei [2 ]
Fan, Xiaoqin [2 ]
Pan, Aijun [1 ,2 ]
机构
[1] Anhui Med Univ, Affiliated Prov Hosp, Dept Crit Care Med, Hefei 230001, Anhui, Peoples R China
[2] Univ Sci & Technol China, Div Life Sci & Med, Affiliated Hosp USTC 1, Dept Crit Care Med, Hefei 230001, Anhui, Peoples R China
关键词
mNGS; Blood culture; Bloodstream infection; Diagnosis of pathogen; Critical illness;
D O I
10.1016/j.ijid.2020.11.166
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Objective: To explore the applicability of metagenomic next-generation sequencing (mNGS) technology for the detection of blood pathogens in intensive care unit patients. Methods: The clinical data of 63 critically ill patients who could not be diagnosed with blood culture (BC) and who underwent mNGS blood sample testing were retrospectively analyzed. The diagnostic efficacy of mNGS was compared with that of traditional detection methods; the distribution of the pathogens identified by mNGS was analyzed; and the differences in laboratory tests, comorbidities, treatment, and prognosis between the mNGS-positive and mNGS-negative groups were compared. Results: The positive rate of mNGS was 41.3% (26/63), and 16 patients were found to have mixed infections. However, the positive rate of BCs performed simultaneously with mNGS was only 7.9% (5/63). The results of univariate analysis showed that the average length of intensive care unit stay (beta,-8.689 [95% CI,-16.176,-1.202]; P = 0.026) and the time from onset to sequencing (beta,-5.816 [95% CI,-9.936,-1.696]; P = 0.007) of the mNGS-positive group were significantly shorter than those of the mNGSnegative group. More patients in the positive group were adjusted for anti-infective treatment after mNGS (OR, 3.789 [95% CI,1.176, 12.211]; P < 0.001). Conclusions: Detection of blood pathogens by mNGS has good applicability for critically ill patients who cannot be diagnosed by BC in the early stages of infection, and mNGS should be performed as early as possible to obtain higher pathogen detection rates. (c) 2020 The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:81 / 87
页数:7
相关论文
共 50 条
  • [1] Application of metagenomic next-generation sequencing for bronchoalveolar lavage diagnostics in critically ill patients
    Li, Ying
    Sun, Bing
    Tang, Xiao
    Liu, Ya-lan
    He, Hang-yong
    Li, Xu-yan
    Wang, Rui
    Guo, Fei
    Tong, Zhao-hui
    [J]. EUROPEAN JOURNAL OF CLINICAL MICROBIOLOGY & INFECTIOUS DISEASES, 2020, 39 (02) : 369 - 374
  • [2] Application of metagenomic next-generation sequencing for bronchoalveolar lavage diagnostics in critically ill patients
    Ying Li
    Bing Sun
    Xiao Tang
    Ya-lan Liu
    Hang-yong He
    Xu-yan Li
    Rui Wang
    Fei Guo
    Zhao-hui Tong
    [J]. European Journal of Clinical Microbiology & Infectious Diseases, 2020, 39 : 369 - 374
  • [3] METAGENOMIC NEXT-GENERATION SEQUENCING DETECTS PATHOGENS IN ENDOPHTHALMITIS PATIENTS
    Zhu, Junfeng
    Xia, Honghe
    Tang, Ruqing
    Ng, Tsz Kin
    Yao, Fen
    Liao, Xulong
    Zhang, Qi
    Ke, Xixuan
    Shi, Tingkun
    Chen, Haoyu
    [J]. RETINA-THE JOURNAL OF RETINAL AND VITREOUS DISEASES, 2022, 42 (05): : 992 - 1000
  • [4] Diagnostic Value and Clinical Application of Metagenomic Next-Generation Sequencing for Infections in Critically Ill Patients
    He, Yuxi
    Geng, Shike
    Mei, Qing
    Zhang, Lei
    Yang, Tianjun
    Zhu, Chunyan
    Fan, Xiaoqin
    Wang, Yinzhong
    Tong, Fei
    Gao, Yu
    Fang, Xiaowei
    Bao, Renren
    Sheng, Ximei
    Pan, Aijun
    [J]. INFECTION AND DRUG RESISTANCE, 2023, 16 : 6309 - 6322
  • [5] Negative results of bronchoalveolar lavage fluid metagenomic next-generation sequencing in critically ill patients
    Ma, Wentao
    Zhao, Yangchao
    Lu, Xiaoxiao
    Zhang, Li
    Ma, Xiaoxu
    Gao, Jing
    Hou, Junna
    Liu, Qiuhong
    Zhao, Shilong
    Yao, Mengying
    Xing, Lihua
    [J]. FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY, 2022, 12
  • [6] Clinical Characteristics and the Effect of Timing for Metagenomic Next-Generation Sequencing in Critically Ill Patients with Sepsis
    He, Dehua
    Liu, Ming
    Chen, Qimin
    Liu, Ying
    Tang, Yan
    Shen, Feng
    Wang, Difen
    Liu, Xu
    [J]. INFECTION AND DRUG RESISTANCE, 2022, 15 : 7377 - 7387
  • [7] Application of metagenomic next-generation sequencing in the detection of pathogens in spinal infections
    Wang, Guanzhong
    Long, Jiang
    Zhuang, Yong
    Leng, Xue
    Zhang, Yaqing
    Liu, Libangxi
    Fu, Jiawei
    Chen, Yu
    Li, Changqing
    Zhou, Yue
    Huang, Bo
    Feng, Chencheng
    [J]. SPINE JOURNAL, 2023, 23 (06): : 859 - 867
  • [8] Comparison of three next-generation sequencing platforms for metagenomic sequencing and identification of pathogens in blood
    Kenneth G Frey
    Jesus Enrique Herrera-Galeano
    Cassie L Redden
    Truong V Luu
    Stephanie L Servetas
    Alfred J Mateczun
    Vishwesh P Mokashi
    Kimberly A Bishop-Lilly
    [J]. BMC Genomics, 15
  • [9] Comparison of three next-generation sequencing platforms for metagenomic sequencing and identification of pathogens in blood
    Frey, Kenneth G.
    Herrera-Galeano, Jesus Enrique
    Redden, Cassie L.
    Luu, Truong V.
    Servetas, Stephanie L.
    Mateczun, Alfred J.
    Mokashi, Vishwesh P.
    Bishop-Lilly, Kimberly A.
    [J]. BMC GENOMICS, 2014, 15
  • [10] Utility of Metagenomic Next-Generation Sequencing for Diagnosis of Infectious Diseases in Critically Ill Immunocompromised Pediatric Patients
    Xu, Xiangzhi
    Zheng, Yafeng
    Zhang, Xiaojing
    Zhang, Chenmei
    Gai, Wei
    Yang, Zihao
    [J]. INFECTION AND DRUG RESISTANCE, 2024, 17 : 3579 - 3591