A mathematical approach in the management of hydrocephalus from tuberculous meningitis
| Autor: | Gerard Saranza, Julette Marie F Batara, Carlene Perpetua P. Arceo, Derick Erl P. Sumalapao |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Pediatrics medicine.medical_specialty Physiology business.industry 030105 genetics & heredity medicine.disease Logistic regression Concordance index Optimal management Tuberculous meningitis Hydrocephalus 03 medical and health sciences 0302 clinical medicine medicine General Pharmacology Toxicology and Pharmaceutics business 030217 neurology & neurosurgery |
| Zdroj: | National Journal of Physiology, Pharmacy and Pharmacology. :1 |
| ISSN: | 2320-4672 |
| DOI: | 10.5455/njppp.2017.7.0517402072017 |
| Popis: | 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 physicians 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|