Literature DB >> 22507645

Clinical prediction rule for differentiating tuberculous from viral meningitis.

A Hristea1, I D Olaru, C Baicus, R Moroti, V Arama, M Ion.   

Abstract

SETTING: The Professor Dr Matei Bals National Institute of Infectious Diseases, Bucharest, Romania.
OBJECTIVE: To create a prediction rule to enable clinicians to differentiate patients with tuberculous meningitis (TBM) from those with viral meningitis.
DESIGN: We retrospectively analysed patients admitted to a tertiary care facility between 2001 and 2011 with viral meningitis and TBM. Patients were defined as having TBM according to a recently published consensus definition, and as viral meningitis if a viral aetiology was confirmed, or after ruling out bacterial, fungal and non-infectious causes of meningitis.
RESULTS: We identified 433 patients with viral meningitis and 101 TBM patients and compared their clinical and laboratory features. Multivariable analysis showed a statistically significant association between TBM and the following variables: duration of symptoms before admission of ≥5 days, presence of neurological impairment (altered consciousness, seizures, mild focal signs, multiple cranial nerve palsies, dense hemiplegia or paraparesis), cerebrospinal fluid/blood glucose ratio < 0.5 and cerebrospinal fluid protein level > 100 mg/dl. We propose a diagnostic score based on the coefficients derived from the logistic regression model with a sensitivity and specificity for TBM of respectively 92% and 94%.
CONCLUSIONS: Our study suggests that easily available clinical and laboratory data are very useful for differentiating TBM from other causes of meningitis.

Entities:  

Mesh:

Year:  2012        PMID: 22507645     DOI: 10.5588/ijtld.11.0687

Source DB:  PubMed          Journal:  Int J Tuberc Lung Dis        ISSN: 1027-3719            Impact factor:   2.373


  14 in total

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3.  The diagnostic value of cerebrospinal fluid chemistry results in childhood tuberculous meningitis.

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Review 4.  Tuberculosis Meningitis.

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5.  Rapid Clinical Score for the Diagnosis of Tuberculous Meningitis: A Retrospective Cohort Study.

Authors:  Raluca Jipa; Ioana D Olaru; Eliza Manea; Simona Merisor; Adriana Hristea
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6.  A New Scoring System for the Differential Diagnosis between Tuberculous Meningitis and Viral Meningitis.

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Journal:  J Korean Med Sci       Date:  2018-06-14       Impact factor: 2.153

7.  Genome-Wide miRNA Analysis Identifies Potential Biomarkers in Distinguishing Tuberculous and Viral Meningitis.

Authors:  Liping Pan; Fei Liu; Jinli Zhang; Jing Li; Hongyan Jia; Mailing Huang; Xuehua Liu; Weibi Chen; Zeyu Ding; Yajie Wang; Boping Du; Rongrong Wei; Qi Sun; Aiying Xing; Zongde Zhang
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9.  Cerebrospinal Fluid Amino Acid Profiling of Pediatric Cases with Tuberculous Meningitis.

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Review 10.  Decision-making in the diagnosis of tuberculous meningitis.

Authors:  Tom H Boyles; Lutgarde Lynen; James A Seddon
Journal:  Wellcome Open Res       Date:  2020-01-23
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