Central nervous system tuberculosis.

Co-infection with HIV Laboratory diagnosis Neuroimaging Pathogenesis Spinal meningitis Therapy Tuberculomas Tuberculosis Tuberculous meningitis

Journal

Journal of the neurological sciences
ISSN: 1878-5883
Titre abrégé: J Neurol Sci
Pays: Netherlands
ID NLM: 0375403

Informations de publication

Date de publication:
15 Feb 2021
Historique:
received: 14 08 2020
revised: 11 11 2020
accepted: 17 12 2020
pubmed: 3 1 2021
medline: 15 5 2021
entrez: 2 1 2021
Statut: ppublish

Résumé

The purpose of this article is to review the many facets of central nervous system tuberculosis (CNS-TB). The entities described are tuberculous meningitis (TBM) and its complications, spinal cord disorders, tuberculomas and co-infection with the human immune-deficiency virus (HIV). The latter has become a common problem worldwide becoming a more fulminant disease. The accuracy of the conventional and the modern molecular techniques for the diagnosis of TBM have a high specificity but a low to moderate sensitivity. Computerised tomographic scans and magnetic resonance imaging have many characteristic features which have vastly improved the diagnostic accuracy of CNS-TB. The recommended therapeutic regimens are an extrapolation of the regimen used for pulmonary TB, hence the optimal composition, dosage and duration of the therapy are not yet established. Multidrug resistant TB is emerging as a global threat and the delay in recognition of drug resistance combined with the lack of data on appropriate drug regimen adds to its high mortality.

Identifiants

pubmed: 33387702
pii: S0022-510X(20)30614-6
doi: 10.1016/j.jns.2020.117278
pii:
doi:

Substances chimiques

Antitubercular Agents 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

117278

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Sarosh M Katrak (SM)

Prof. Emeritus, Grant Medical College & Sir JJ Group of Hospitals, Emeritus Director, Jaslok Hospital & Research Centre, Mumbai, India. Electronic address: saroshkatrak@gmail.com.

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Classifications MeSH