Literature DB >> 15750455

Prediction of neurologic sequelae in childhood tuberculous meningitis: a review of 20 cases and proposal of a novel scoring system.

Akihiko Saitoh1, Alice Pong, Norman J Waecker, John A D Leake, Mark P Nespeca, John S Bradley.   

Abstract

BACKGROUND: Despite effective antituberculous medications, the mortality and morbidity remain high in children with tuberculous meningitis (TBM). The traditional clinical staging for TBM developed by Lincoln et al in 1960 has been widely used to predict long term neurologic sequelae (NS). In the current era of critical care medicine and corticosteroid therapy, a new scoring system is needed to predict NS more accurately in children with TBM.
METHODS: We reviewed all available cases of TBM in San Diego, CA, during 1991-2001 retrospectively, and we developed a novel scoring system to predict NS in children with TBM. We assessed a tuberculous meningitis acute neurologic (TBAN) score at day 0 and on day 3 of hospitalization, to compare children who subsequently developed severe NS with those who did not.
RESULTS: Among 20 children with TBM, 7 children developed severe NS and 1 child died during hospitalization. The TBAN score was higher on day 0 in those with severe NS (5.5 versus 2.0, P = 0.09), and the difference became statistically significant by day 3 of hospitalization (5.5 versus 0.0, P = 0.02). Sensitivity and specificity of the TBAN score (> or =4) on day 0 (75 and 92%) and day 3 (88 and 100%) to predict severe NS were superior to the traditional clinical staging system on day 0 (63 and 58%).
CONCLUSIONS: The TBAN score is an objective marker for predicting severe NS in children with TBM.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15750455     DOI: 10.1097/01.inf.0000154321.61866.2d

Source DB:  PubMed          Journal:  Pediatr Infect Dis J        ISSN: 0891-3668            Impact factor:   2.129


  6 in total

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

Authors:  Anu Goenka; Prakash M Jeena; Koleka Mlisana; Tom Solomon; Kevin Spicer; Rebecca Stephenson; Arpana Verma; Barnesh Dhada; Michael J Griffiths
Journal:  Pediatr Infect Dis J       Date:  2018-03       Impact factor: 2.129

2.  Importance of differentiating Mycobaterium bovis in tuberculous meningitis.

Authors:  Alejandra González-Duarte; Alfredo Ponce de León; José Sifuentes Osornio
Journal:  Neurol Int       Date:  2011-12-12

Review 3.  Standardized Methods for Enhanced Quality and Comparability of Tuberculous Meningitis Studies.

Authors:  Ben J Marais; Anna D Heemskerk; Suzaan S Marais; Reinout van Crevel; Ursula Rohlwink; Maxine Caws; Graeme Meintjes; Usha K Misra; Nguyen T H Mai; Rovina Ruslami; James A Seddon; Regan Solomons; Ronald van Toorn; Anthony Figaji; Helen McIlleron; Robert Aarnoutse; Johan F Schoeman; Robert J Wilkinson; Guy E Thwaites
Journal:  Clin Infect Dis       Date:  2017-02-15       Impact factor: 9.079

4.  Normal cerebrospinal fluid protein and associated clinical characteristics in children with tuberculous meningitis.

Authors:  Jun-Li Wang; Chao Han; Feng-Lian Yang; Mao-Shui Wang; Yu He
Journal:  Ann Med       Date:  2021-12       Impact factor: 4.709

5.  Performance of Lipoarabinomannan Assay using Cerebrospinal fluid for the diagnosis of Tuberculous meningitis among HIV patients.

Authors:  Richard Kwizera; Fiona V Cresswell; Gerald Mugumya; Micheal Okirwoth; Enock Kagimu; Ananta S Bangdiwala; Darlisha A Williams; Joshua Rhein; David R Boulware; David B Meya
Journal:  Wellcome Open Res       Date:  2019-09-30

Review 6.  Tuberculous meningitis in children: Clinical management & outcome.

Authors:  Bella Devaleenal Daniel; G Angeline Grace; Mohan Natrajan
Journal:  Indian J Med Res       Date:  2019-08       Impact factor: 2.375

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.