The accuracy of tuberculous meningitis diagnostic tests using Bayesian latent class analysis | Zendy

Huy Ngoc Le | Zendy; Hutcha Sriplung | Zendy; Virasakdi Chongsuvivatwong | Zendy; Nhung Viet Nguyen | Zendy; Tri Huu Nguyen | Zendy

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The accuracy of tuberculous meningitis diagnostic tests using Bayesian latent class analysis

Author(s) -

Huy Ngoc Le,

Hutcha Sriplung,

Virasakdi Chongsuvivatwong,

Nhung Viet Nguyen,

Tri Huu Nguyen

Publication year - 2020

Publication title -

the journal of infection in developing countries

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.322

H-Index - 49

eISSN - 2036-6590

pISSN - 1972-2680

DOI - 10.3855/jidc.11862

Subject(s) - medicine , gold standard (test) , tuberculous meningitis , receiver operating characteristic , latent class model , confidence interval , tuberculosis , diagnostic test , diagnostic accuracy , pathology , pediatrics , statistics , mathematics

Tuberculous meningitis (TBM) is the most dangerous form of tuberculosis with high mortality and disability rates. However, the delayed diagnostic process is often due to the absence of the gold standard tests leading to a lack of information about the sensitivity and specificity of diagnostic tests. This study aims to estimate the prevalence of TBM and determine the performance of four diagnostic procedures: the mycobacteria growth culture test, Gene Xpert assay, and analysis of protein levels and leukocyte count taken from cerebrospinal fluid.

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