| Autor: |
Yihan Wu, Yueli Zou, Hongzhi Guan, Chunjuan Wang, Honglong Wu, Xiaohua Li, Yongjun Li, Weijun Chen, Changhong Ren, Ying Ge, Bin Peng, Siyuan Fan, Caiyun Liu, Shengnan Wang, Lei Liu, Jingping Shi, Hongfang Li, Liying Cui, Li Cui, Hui Bu, Gaoya Zhou, Shuo Feng, Haitao Ren, Jianzhao Zhang, Xiaodong Qiao, Yafang Hu, Wei Yue, Yushun Piao, Tianjia Guan, Shougang Guo, Xiaojuan Wang, Zheng Liu, Haishan Jiang, Yanhuan Zhao, Wei Li, Jiawei Wang, Weihe Zhang, Shiying Li, Weili Zhao, Lingzhi Qin, Jerome H. Chin |
| Rok vydání: |
2019 |
| Předmět: |
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| DOI: |
10.1101/658047 |
| Popis: |
BackgroundInfectious 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.MethodsThe present study was a multicentre prospective evaluation of mNGS of cerebrospinal fluid (CSF) for the diagnosis of suspected central nervous system infections.ResultsA 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.ConclusionsmNGS of CSF is a powerful diagnostic method to identify the pathogen for many central nervous system infections. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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