Clinical profile and mortality predictors in hospitalised patients of tuberculous meningitis
Year: 2023
Type: article
Study design: Observational Study
Abstract: Background& Objective: Tuberculous meningitis (TBM) is a serious public health problem in developing countries like India as it leads to significant mortality and neurological sequelae. Aim of study was to describe clinico-radiological profile of TBM and determine predictors of mortality. Methods: This was a prospective study and data collected including demographic details, clinical, laboratory parameters and neuroimaging finding. Diagnosis of TBM was based according to a standard case definition proposed by Marais et al.(2010). Results: One hundred and forty two TBM patients were recruited with 54.93% males and 45.07% females. Fever was most common symptom followed by headache, vomiting, altered sensorium and seizure. Most common cranial nerve palsy was of 6th cranial nerve followed by 2nd cranial nerve. Cerebrospinal fluid (CSF)study in 77.46% of patients showed protein >100 mg/dL, 61.27% patients had CSF sugar <40 mg/dL while 87.32% of patients had total cell count >10 cells/cumm. Most common Neuroimaging finding was meningeal enhancement followed by hydrocephalus, infarcts, basal exudates and tuberculoma. In-hospital mortality was 17.61%. Higher age, low Glasgow Coma Scale (GCS) score, absence of headache, seizure, altered sensorium, anemia, low CSF glucose, infarct, hydrocephalus, and British medical research council (BMRC) Stage III at presentation were predictors of in-hospital mortality. Conclusions:. Age, GCS score, absence of headache, seizure, altered sensorium, anemia, low CSF glucose, infarct, hydrocephalus, and BMRC Stage III at presentation were predictors of in-hospital mortality based on this study from Bihar, India.
Source: Neurology Asia
DOI: 10.54029/2023wsp
Authors: Ashok Kumar, Sanaullah Mudassir, Abhay Ranjan, Bhagyashri Wankhade, Anand Kumar Rai, Sanjeev Kumar, Janardan, Neetu Sinha
Institution: Indira Gandhi Institute of Medical Sciences
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4361215936