作者
Siyuan Fan,Xiaojuan Wang,Yafang Hu,Jingping Shi,Yueli Zou,Weili Zhao,Xiaodong Qiao,Li Wang,Jerome H. Chin,Lei Liu,Lingzhi Qin,Shengnan Wang,Hongfang Li,Wei Yue,Weihe Zhang,Xiaohua Li,Ying Ge,Honglong Wu,Weijun Chen,Yongjun Li,Tianjia Guan,Shiying Li,Yihan Wu,Gaoya Zhou,Zheng Liu,Yushun Piao,Jianzhao Zhang,Changhong Ren,Li Cui,Caiyun Liu,Haitao Ren,Yanhuan Zhao,Shuo Feng,Haishan Jiang,Jiawei Wang,Hui Bu,Shougang Guo,Bin Peng,Liying Cui,Wei Li,Hongzhi Guan
摘要
ABSTRACT Background Infectious encephalitis and meningitis are often treated empirically without identification of the causative pathogen. Metagenomic next-generation sequencing (mNGS) is a high throughput technology that enables the detection of pathogens independent of prior clinical or laboratory information. Methods The present study was a multicentre prospective evaluation of mNGS of cerebrospinal fluid (CSF) for the diagnosis of suspected central nervous system infections. Results A total of 276 patients were enrolled in this study between Jan 1, 2017 and Jan 1, 2018. Identification of an etiologic pathogen in CSF by mNGS was achieved in 101 patients (36.6%). mNGS detected 11 bacterial species, 7 viral species, 2 fungal species, and 2 parasitic species. The five leading positive detections were varicella-zoster virus (17), Mycobacterium tuberculosis (14), herpes simplex virus 1 (12), Epstein-Barr virus (12), and Cryptococcus neoformans (7). False positives occurred in 12 (4.3%) patients with bacterial infections known to be widespread in hospital environments. False negatives occurred in 16 (5.8%) patients and included bacterial, viral and fungal aetiologies. Conclusions mNGS of CSF is a powerful diagnostic method to identify the pathogen for many central nervous system infections.