Rapid Accurate Identification of Tuberculous Meningitis Among South African Children Using a Novel Clinical Decision Tool

Anupam Goenka, Prakash Jeena, Koleka Mlisana, Tom Solomon, Rebecca Stephenson, Arpana Verma, Barnesh Dhada, Michael Griffiths

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Abstract

Introduction: Early diagnosis of tuberculous meningitis (TBM) is crucial to achieve optimum outcomes. There is no effective rapid diagnostic test for use in children. We aimed to develop a clinical decision tool to facilitate the early diagnosis of childhood TBM. Methods: Retrospective case control study across 7 hospitals in KwaZulu-Natal, South Africa (2010-2014). We identified the variables most predictive of microbiologically confirmed TBM in children (3 months-15 years) by univariate analysis. These variables were modelled into a clinical decision tool and performance tested on an independent sample group. Results: Of 865 children with suspected TBM, 3% (25) were identified with microbiologically confirmed TBM. Clinical information was retrieved for 22 microbiologically confirmed cases of TBM and compared with 66 controls matched for age, ethnicity, sex and geographical origin. The 9 most predictive variables among the confirmed cases were used to develop a clinical decision tool (CHILD TB LP): altered Consciousness; caregiver HIV infected; Illness length >7 days; Lethargy; focal neurological Deficit; failure to Thrive; Blood/serum sodium <132mmol/L; CSF >10 Lymphocytes x 10*6/L; CSF Protein >0.65g/L. This tool successfully classified an independent sample of 7 cases and 21 controls with a sensitivity of 100% and specificity of 90%. Conclusion: The CHILD TB LP decision tool accurately classified microbiologically confirmed TBM. We propose that CHILD TB LP is prospectively evaluated as a novel rapid diagnostic tool for use in the initial evaluation of children with suspected neurological infection presenting to hospitals in similar settings.
Original languageEnglish
JournalPediatric Infectious Disease Journal
Volume37
Issue number3
Early online date1 Aug 2017
DOIs
Publication statusPublished - 1 Mar 2018

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