A mathematical approach in the management of hydrocephalus from tuberculous meningitis

College

College of Science

Department/Unit

Biology

Document Type

Article

Source Title

National Journal of Physiology, Pharmacy and Pharmacology

Volume

7

Issue

11

First Page

1195

Last Page

1200

Publication Date

1-1-2017

Abstract

Background: The unavailability of standardized treatment algorithms to properly select tuberculous meningitis (TBM) patients for surgery delays optimal management. Aim and Objective: This study developed a mathematical model as an objective guide in deciding whether to perform surgical intervention or not among patients with hydrocephalus from TBM. Materials and Methods: Using 13 different clinical and cerebrospinal fluid parameters, a saturated logistic regression model was developed and tried retrospectively on 37 previously managed cases of hydrocephalus from TBM. Results: The model is statistically significant (P = 0.0170) with 93.2% concordance index in predicting physician’s decision on admission whether the patient will undergo surgical intervention or not. Patients are recommended for surgical intervention if g-score >0.04 with 90.48% sensitivity. Conclusion: With its significant P-value and high concordance index, the model is a good representative of the actual decision making of physicians in the management of hydrocephalus from TBM. © 2017 Derick Erl P Sumalapao, et al.

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Digitial Object Identifier (DOI)

10.5455/njppp.2017.7.0517402072017

Disciplines

Biology | Medicine and Health Sciences

Keywords

Hydrocephalus—Surgery—Mathematical models; Meninges—Tuberculosis; Logistic regression analysis

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