دورية أكاديمية
أعرض في EDS

Xpert MTB/RIF Ultra: Optimal procedures for the detection of Mycobacterium tuberculosis in cerebrospinal fluid

التفاصيل البيبلوغرافية
العنوان: Xpert MTB/RIF Ultra: Optimal procedures for the detection of Mycobacterium tuberculosis in cerebrospinal fluid
المؤلفون: Jerome H. Chin, Willy Ssengooba, Scott Grossman, Jacob Pellinen, Vincent Wadda
المصدر: Journal of Clinical Tuberculosis and Other Mycobacterial Diseases, Vol 14, Iss , Pp 16-18 (2019)
بيانات النشر: Elsevier, 2019.
سنة النشر: 2019
المجموعة: LCC:Diseases of the respiratory system
LCC:Infectious and parasitic diseases
مصطلحات موضوعية: Diseases of the respiratory system, RC705-779, Infectious and parasitic diseases, RC109-216
الوصف: Tuberculosis is the leading infectious cause of death globally and extra-pulmonary disease occurs in 15% of incident cases annually. Tuberculous meningitis (TBM) is arguably the most lethal form of tuberculosis and requires prompt diagnosis and initiation of treatment to prevent death and serious neurological disability. The development of rapid diagnostic tests using polymerase chain reaction (PCR) technology for the detection of Mycobacterium tuberculosis (MTB), including the World Health Organization (WHO) – endorsed Xpert MTB/RIF Ultra assay, has allowed earlier definite diagnosis of TBM than conventional culture methods which usually take two weeks or longer for positive identification of MTB. Detection of MTB in cerebrospinal fluid (CSF) using PCR assays requires special attention to the collection, handling, and processing of CSF. Herein we present best practices guidance to maximize the detection rate of MTB in CSF using Xpert MTB/RIF Ultra. Keywords: Tuberculosis, Meningitis, Cerebrospinal fluid, Xpert, PCR
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2405-5794
Relation: http://www.sciencedirect.com/science/article/pii/S2405579418300615; https://doaj.org/toc/2405-5794
DOI: 10.1016/j.jctube.2019.01.002
URL الوصول: https://doaj.org/article/1d623ccb914744d3997035279d00da7a
رقم الأكسشن: edsdoj.1d623ccb914744d3997035279d00da7a
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:24055794
DOI:10.1016/j.jctube.2019.01.002