Value of metagenomic next-generation sequencing in the diagnosis of native pyogenic spinal infections: a multicenter, retrospective observational study

被引:0
|
作者
Li, Zhaohui [1 ]
Zhang, Qiang [2 ]
Lian, Xiaofeng [3 ]
Yin, Chuqiang [1 ]
Lin, Yuhan [4 ]
Wang, Yuelei [1 ]
Han, Zengshuai [1 ]
Shen, Feng [1 ]
Xu, Yidan [1 ]
Wang, Huafeng [4 ]
Wang, Ting [1 ]
机构
[1] Qingdao Univ, Affiliated Hosp, Dept Spinal Surg, Jiangsu Rd 16, Qingdao, Shandong, Peoples R China
[2] Shandong Univ, Publ Hlth Clin Ctr, Orthoped Sect Bone Infect 2, Qingdao, Shangdong, Peoples R China
[3] Shanghai Jiao Tong Univ, Shanghai Peoples Hosp 6, Sch Med, Dept Orthoped Surg, Shanghai, Peoples R China
[4] Fuzhou Second Gen Hosp, Dept Spinal Surg, Fuzhou, Fujian, Peoples R China
来源
SPINE JOURNAL | 2025年 / 25卷 / 04期
关键词
Diagnostic performance; Metagenomic next-generation sequencing; Microbial culture; Native pyogenic spinal; MANAGEMENT;
D O I
10.1016/j.spinee.2024.11.004
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
BACKGROUND CONTEXT: The etiological diagnosis of pyogenic spinal infection is crucial for its precise antibiotic treatment. Traditional methods of detection are often slow and ineffective. In recent times, metagenomic next-generation sequencing (mNGS) has revolutionized pathogen detection, offering a more effective approach to disease management. PURPOSE: Comparing mNGS with microbial culture to comprehensively explore the diagnostic value of mNGS in pyogenic spinal infections. DESIGN: A multicenter, retrospective observational study. PATIENT SAMPLE: In a multicenter retrospective observational study, we analyzed the data from 301 patients admitted in four selected hospitals with pyogenic spinal infections from December 2019 to February 2024. OUTCOME MEASURES: Identification of pathogenic bacteria in patients. METHODS: Obtain blood and lesion tissue or pus samples from the enrolled patients for microbial culture, serological and hematological laboratory tests, pathological examination, and mNGS analysis, followed by a comparative analysis of the results. RESULTS: In our cohort of 301 cases of clinically diagnosed pyogenic spinal infections, 242 yielded etiological evidence. The most common gram-positive bacterium was Staphylococcus aureus, and the most common gram-negative bacterium was Escherichia coli. mNGS showed a significantly higher rate of detection (77.9%) compared with microbial culture (27.2%) with a notable difference (X-2 = 140.17, P<.001). In culture-negative samples, mNGS could detect pathogens in 73.1% of cases, and in culture-positive samples, it could detect pathogens in 91.5% of cases with 94.7% genus-level concordance. mNGS provided faster results (24-48 h) compared with the culture method (2-7 days).
引用
收藏
页码:640 / 648
页数:9
相关论文
共 50 条
  • [21] Metagenomic next-generation sequencing assists the diagnosis treatment of fungal osteoarticular infections
    Zhang, Chaofan
    Lin, Yunzhi
    Huang, Changyu
    Huang, Zida
    Fang, Xinyu
    Bai, Guochang
    Zhang, Zeyu
    Li, Wenbo
    Zhang, Wenming
    FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY, 2022, 12
  • [22] Clinical usefulness of metagenomic next-generation sequencing for Talaromyces marneffei diagnosis in China: a retrospective study
    Zhang, Xuan
    Yao, Xinfei
    Chen, Huixin
    Yang, Meifang
    Han, Dongsheng
    EUROPEAN JOURNAL OF CLINICAL MICROBIOLOGY & INFECTIOUS DISEASES, 2024, 43 (07) : 1367 - 1374
  • [23] Metagenomic next-generation sequencing shotgun for the diagnosis of infection in connective tissue diseases: A retrospective study
    Wang, Huyan
    Shi, Xiaowei
    Yang, Huanhuan
    Du, Yan
    Xue, Jing
    FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY, 2022, 12
  • [24] Metagenomic next-generation sequencing for diagnosis of infectious encephalitis and meningitis: a retrospective study of 90 patients
    Zhang, Mengling
    Chen, Lanlan
    Zhao, Haina
    Qiao, Tingting
    Jiang, Li
    Wang, Chenxin
    Zhong, Xingxing
    Li, Xiaobo
    Xu, Yao
    NEUROLOGICAL RESEARCH, 2024, 46 (02) : 187 - 194
  • [25] Diagnostic efficiency of metagenomic next-generation sequencing for suspected spinal tuberculosis in China: A multicenter prospective study
    Li, Yuan
    Yao, Xiao-wei
    Tang, Liang
    Dong, Wei-jie
    Lan, Ting-long
    Fan, Jun
    Liu, Feng-sheng
    Qin, Shi-bing
    FRONTIERS IN MICROBIOLOGY, 2022, 13
  • [26] The value of metagenomic next-generation sequencing with blood samples for the diagnosis of disseminated tuberculosis
    Ma, Jing
    Jiang, Yongfang
    He, Yan
    Zhou, Huaying
    FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY, 2024, 14
  • [27] Metagenomic next-generation sequencing and galactomannan testing for the diagnosis of invasive pulmonary aspergillosis
    Yang, Jia
    Wu, Xuan
    Zhang, Qianqian
    Lin, Chenchen
    Yu, Yi
    Zhang, Xinyan
    Liu, Hongmei
    An, Yunxia
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [28] The value of metagenomic next-generation sequencing for the diagnosis of pulmonary tuberculous using bronchoalveolar lavage fluid
    Gao, Jiali
    Zhao, Lu
    Chen, Gongqi
    Huang, Chunli
    Kong, Weiqiang
    Feng, Yuchen
    Zhen, Guohua
    LABORATORY MEDICINE, 2024, 55 (01) : 96 - 102
  • [29] The diagnostic value of metagenomic next-generation sequencing in critically ill patients with sepsis: A retrospective cohort study
    Li, Chaozhong
    Wang, Fang
    Li, Wanrong
    Sun, Guihu
    Yang, Dexing
    Yang, Ting
    Yang, Guohui
    Liang, Bo
    Huang, Yun
    Tang, Wenzhi
    Li, Fei
    Ye, Yujia
    Qian, Chuanyun
    Wu, Haiying
    Meng, Zhaohui
    MEDICINE, 2024, 103 (41)
  • [30] Metagenomic next-generation sequencing for accurate diagnosis and management of lower respiratory tract infections
    Liang, Mengyuan
    Fan, Yamin
    Zhang, Dongmei
    Yang, Lian
    Wang, Xiaorong
    Wang, Sufei
    Xu, Juanjuan
    Zhang, Jianchu
    INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2022, 122 : 921 - 929