Literature DB >> 26061723

Prediction of cerebrospinal fluid parameters for tuberculous meningitis.

Yueli Zou1,2,3, Junying He1,2,3, Li Guo1,2,3, Hui Bu1,2,3, Yajuan Liu1,2,3.   

Abstract

BACKGROUND: Tuberculous meningitis is the most lethal form of tuberculosis, but current diagnostic methods are inadequate. The measurement of cerebrospinal fluid parameters can provide early information for diagnosis. The present study focus on the validity of the cut-off value of cerebrospinal fluid parameters according to the Lancet consensus of scoring system for diagnosis of tuberculous meningitis.
METHOD: A total of 100 confirmed patients were enrolled in this study. We evaluated significance of protein level (>1 g/l), chloride level (<120 mmol/l), glucose level (<2.2 mmol/l), cell counts (10-500 cells/μl, lymphocytic pleocytosis (>50%), and neutrophil predominance (>50%) in early diagnosis of tuberculous meningitis. RESULT: The cerebrospinal fluid parameters were significantly different between the tuberculous meningitis group and the control group. The independent factors for diagnosis of tuberculous meningitis were protein level (>1 g/l), glucose level (<2.2 mmol/l), cell counts (10-500 cells/μl and neutrophil predominance >50%). Neutrophil predominance (>50%) performed the best with the area under the curve of 89.7%. The sensitivity of protein level (>1 g/l), glucose level (<2.2 mmol/l), cell counts (10-500 cells/μl) and neutrophil predominance (>50%) for diagnosis of tuberculous meningitis were 66%, 58%, 86%, and 54%, and the specificity were 84%, 98%, 32%, and 98%. There are 84% patients in tuberculous meningitis group at least having two positive parameters among the four independent parameters, while only 10% in control group.
CONCLUSION: The cerebrospinal fluid parameters can help the clinicians to make a prompt diagnosis in the early stage of the disease.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  cerebrospinal fluid; diagnostic value; tuberculous meningitis

Mesh:

Substances:

Year:  2015        PMID: 26061723     DOI: 10.1002/dc.23284

Source DB:  PubMed          Journal:  Diagn Cytopathol        ISSN: 1097-0339            Impact factor:   1.582


  4 in total

Review 1.  Improving Technology to Diagnose Tuberculous Meningitis: Are We There Yet?

Authors:  Kenneth Ssebambulidde; Jane Gakuru; Jayne Ellis; Fiona V Cresswell; Nathan C Bahr
Journal:  Front Neurol       Date:  2022-05-30       Impact factor: 4.086

2.  Staining with two observational methods for the diagnosis of tuberculous meningitis.

Authors:  Yueli Zou; Hui Bu; Li Guo; Yajuan Liu; Junying He; Xuedan Feng
Journal:  Exp Ther Med       Date:  2016-11-02       Impact factor: 2.447

3.  Cerebrospinal fluid abnormalities in meningeosis neoplastica: a retrospective 12-year analysis.

Authors:  Marija Djukic; Ralf Trimmel; Ingelore Nagel; Annette Spreer; Peter Lange; Christine Stadelmann; Roland Nau
Journal:  Fluids Barriers CNS       Date:  2017-03-28

4.  A New Scoring System for the Differential Diagnosis between Tuberculous Meningitis and Viral Meningitis.

Authors:  Sang-Ah Lee; Shin-Woo Kim; Hyun-Ha Chang; Hyejin Jung; Yoonjung Kim; Soyoon Hwang; Sujeong Kim; Han-Ki Park; Jong-Myung Lee
Journal:  J Korean Med Sci       Date:  2018-06-14       Impact factor: 2.153

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.