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Int J Tuberc Lung Dis ; 6(1): 64-70, 2002 Jan.
Article in English | MEDLINE | ID: mdl-11931403

ABSTRACT

OBJECTIVE: To assess predictors of mortality and neurological sequelae in patients with tuberculous meningitis (TBM). METHODS: Patients with TBM treated at 12 university hospitals in Turkey between 1985 and 1997 were evaluated using a standardised protocol applied retrospectively. Variables associated with hospital mortality as well as with the presence of neurological sequelae at 6 months were determined using logistic regression models. RESULTS: Four hundred and thirty-four patients between the ages of 13 and 83 years (mean 33 years) were evaluated. Sixty-eight per cent of these patients presented with Medical Research Council Stage II or III. One hundred and one patients (23.3%) died and 67 (27%) of evaluable survivors had neurological sequelae. In multi-variable analysis, convulsion (OR 3.3, 95%CI 1.2-9.0, P = 0.02), comatose mental status (OR 6.0, 95%CI 3.6-10.2, P = 0.01), and delayed or interrupted treatment (OR 5.1, 95%CI 2.4-11.2, P = 0.01) were shown to be predictors for mortality. The presence of extra-meningeal tuberculosis (OR 2.1, 95%CI 1.1-4.2, P = 0.035), cranial nerve palsy (OR 2.6, 95%CI 1.4-4.2, P = 0.01), hemiparesia/focal weakness (OR 9.3, 95%CI 3.8-22.6, P = 0.01), hemiplegia/multiple neurological deficit (OR 7.1, 95%CI 2.14-23.38, P = 0.01) and drowsiness (OR 4.2, 95%CI 2.04-8.82, P = 0.01) were independent predictors of neurological sequelae at 6 months following hospital discharge. CONCLUSION: The results of this study emphasise the importance of prompt and uninterrupted anti-tuberculosis therapy for tuberculous meningitis. The presence of seizures or coma on admission to hospital are important predictors for mortality, while the presence of focal neurological signs is a predictor for persistent neurological sequelae in survivors.


Subject(s)
Tuberculosis, Meningeal/mortality , Adolescent , Adult , Aged , Aged, 80 and over , Chi-Square Distribution , Female , Hospital Mortality , Humans , Logistic Models , Male , Middle Aged , Predictive Value of Tests , Retrospective Studies , Turkey/epidemiology
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