Clinical application of metagenomic next-generation sequencing in patients with different organ system infection: A retrospective observational study

被引:2
|
作者
Zhang, Haiyan [1 ,2 ]
Zhou, Fengli [1 ]
Liu, Xiaoyun [1 ]
Huang, Jiabao [1 ]
机构
[1] Sun Yat Sen Univ, Affiliated Hosp 3, Lingnan Hosp, Dept Gen Practice, 2693 Kaichuang Rd, Guangzhou 510000, Guangdong, Peoples R China
[2] Sun Yat Sen Univ, Lingnan Hosp, Affiliated Hosp 3, Dept Gen Practice, 2693 Kaichuang Rd, Guangzhou 510000, Guangdong, Peoples R China
关键词
etiology; microbiological identification; mNGS; precision diagnosis; treatment; PROSTHETIC JOINT INFECTION; DIAGNOSIS; PATHOGENS;
D O I
10.1097/MD.0000000000036745
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Microbiological identification is essential for appropriate treatment, but conventional methods are time-consuming and have a low sensitivity. In contrast, metagenomic next-generation sequencing (mNGS) is a culture-free and hypothesis-free technique that can detect a wide array of potential pathogens. This study aimed to reveal the overall diagnostic value of mNGS for infectious diseases of different organ systems and compare the sensitivity and specificity of mNGS with conventional methods. In a retrospective cohort study, 94 patients with mNGS results were enrolled, and clinical data were recorded and analyzed to compare the positive rate of mNGS with traditional methods including as smears, serological tests, and traditional PCR, etc. In this study, mNGS and culture were both positive in 12.77% cases and were both negative in 23.4% cases. There were positive results in 56 cases (54.26%) only by mNGS and 4 cases (4.26%) were positive only by culture. There were significant differences in sensitivity of pathogen detection between of ID and NID group for mNGS (chi(2) = 10.461, P = .001)and conventional methods(chi(2) = 7.963, P = .005). The positive predictive values and negative predictive values of diagnosing infectious disease by mNGS were 94.12% and 30.77%, respectively. mNGS increased the sensitivity rate by approximately 53.66% compared with that of culture (78.05% vs24.39%; chi(2) = 47.248, P < .001) and decreased the specificity rate by 12.5% compared with that of culture (66.67% vs 100.0%; chi(2) = 4.8, P = .028). mNGS can identify emerging or rare pathogen and further guide treatment regimens. mNGS has advantages in identifying overall pathogens and bacteria, however, there was no obvious advantage in identifying fungi, virus and tuberculosis. mNGS has higher specificity than conventional methods in identifying pathogens and advantages in detecting emerging or rare pathogens.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Clinical Application of Metagenomic Next-Generation Sequencing for Suspected Infections in Patients With Primary Immunodeficiency Disease
    Tang, Wenjing
    Zhang, Yu
    Luo, Chong
    Zhou, Lina
    Zhang, Zhiyong
    Tang, Xuemei
    Zhao, Xiaodong
    An, Yunfei
    FRONTIERS IN IMMUNOLOGY, 2021, 12
  • [42] 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
    INFECTION AND DRUG RESISTANCE, 2023, 16 : 6309 - 6322
  • [43] The clinical application of metagenomic next-generation sequencing in immunocompromised patients with severe respiratory infections in the ICU
    Zhao, Junjie
    Sun, Yong
    Tang, Jing
    Guo, Kai
    Wang, Kaiyu
    Zhuge, Jiancheng
    Fang, Honglong
    RESPIRATORY RESEARCH, 2024, 25 (01)
  • [44] Value of metagenomic next-generation sequencing in the diagnosis of native pyogenic spinal infections: a multicenter, retrospective observational study
    Li, Zhaohui
    Zhang, Qiang
    Lian, Xiaofeng
    Yin, Chuqiang
    Lin, Yuhan
    Wang, Yuelei
    Han, Zengshuai
    Shen, Feng
    Xu, Yidan
    Wang, Huafeng
    Wang, Ting
    SPINE JOURNAL, 2025, 25 (04): : 640 - 648
  • [45] Clinical Diagnosis Application of Metagenomic Next-Generation Sequencing of Plasma in Suspected Sepsis
    Wang, Lisha
    Li, Shixiao
    Qin, Jiajia
    Tang, Tianbin
    Hong, Jiawen
    Tung, Tao-Hsin
    Xu, Chunyan
    Yu, Sufei
    Qian, Jiao
    INFECTION AND DRUG RESISTANCE, 2023, 16 : 891 - 901
  • [46] Clinical application of metagenomic next-generation sequencing in purulent meningitis: a case series
    Ding, Min
    Yang, Chunfeng
    Li, Yumei
    TURKISH JOURNAL OF PEDIATRICS, 2023, 65 (04) : 679 - 686
  • [47] Metagenomic next-generation sequencing for the detection of pathogenic microorganisms in patients with pulmonary infection
    Wei, Peng
    Wu, Lijuan
    Li, Yu
    Shi, Jian'gang
    Luo, Yifeng
    Wu, Wenbin
    Feng, Jiemei
    AMERICAN JOURNAL OF TRANSLATIONAL RESEARCH, 2022, 14 (09): : 6382 - 6388
  • [48] Polybacterial infection in patients with stable bronchiectasis revealed by metagenomic next-generation sequencing
    Lei, Cheng
    Ge, Hu
    Ding, Shuizi
    Zhou, Xianglin
    Yang, Binyi
    Yang, Danhui
    Wang, Rongchun
    Guo, Ting
    Yu, Yan
    Luo, Hong
    JOURNAL OF INFECTION, 2023, 86 (04) : E81 - E83
  • [49] Clinical applications of metagenomic next-generation sequencing in the identification of pathogens in periprosthetic joint infections: a retrospective study
    Shi, Tengfei
    Chen, Huiyu
    Liu, Yinhuan
    Wu, Yexin
    Lin, Feitai
    JOURNAL OF ORTHOPAEDIC SURGERY AND RESEARCH, 2024, 19 (01):
  • [50] Clinical implications of trichomonads detected in bronchoalveolar fluid by metagenomic next-generation sequencing: a multicenter retrospective study
    Jiang, Juan
    Li, Yuanyuan
    Wang, Qiong
    Zeng, Huihui
    Yang, Wei
    Wu, Yanhao
    Peng, Wenzhong
    Pan, Pinhua
    Hu, Chengping
    Deng, Pengbo
    FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY, 2024, 14