Proton MR CSF analysis and a new software as predictors for the differentiation of meningitis in children

Arunachalam Subramanian, Abhishek Gupta, Swapnil Saxena, Ashish Gupta, Raj Kumar, Anjali Nigam, Rashmi Kumar, Sudhir K. Mandal, Raja Roy

Research output: Contribution to journalArticle

Abstract

This article describes proton MR spectroscopic analysis of cerebrospinal fluid of 167 children suffering from meningitis and 24 control cases. Quantification of 12 well-separated and commonly observed cerebrospinal fluid metabolites viz. β-hydroxybutyrate, lactate, alanine, acetate, acetone, acetoacetate, pyruvate, glutamine, citrate, creatine/creatinine, glucose (total) and urea was carried out using Bruker's NMRQUANT software with respect to a known concentration of sodium-3-(trimethylsilyl)-2,2,3,3-d4-propionate (TSP), serving as an external reference. The assignment of urea in CSF is reported for the first time by NMR. The presence of cyclopropane, observed for the first time in tuberculous meningitis overall in 85.1% of cases, acts as a finger-print marker for the differential diagnosis. Multivariate discriminant function analysis was carried out for the proton MR-detected metabolite information and the clinical symptoms data of the meningitis and control cases to find the important descriptors for classification, followed by a re-validation of the entire database. It was found that the control could be differentiated from the disease group with a success rate of 96.4%, followed by the differential diagnosis of tuberculous meningitis with a corresponding value of 77.2%. Excluding the presence of cyclopropane, bacterial meningitis could be classified 84.4% correct and viral meningitis with a rate of 83.3%. It is proposed that the NMR spectroscopic information, along with other routine clinical features, may serve as an additional diagnostic tool for the differential diagnosis of meningitis in children.

Original languageEnglish (US)
Pages (from-to)213-225
Number of pages13
JournalNMR in biomedicine
Volume18
Issue number4
DOIs
StatePublished - Jun 2005

Keywords

  • Cerebrospinal fluid
  • Differential diagnosis
  • Discriminant function analysis
  • Expert system
  • H NMR
  • Meningitis
  • Metabolite quantification
  • Multivariate analysis

ASJC Scopus subject areas

  • Molecular Medicine
  • Radiology Nuclear Medicine and imaging
  • Spectroscopy

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  • Cite this

    Subramanian, A., Gupta, A., Saxena, S., Gupta, A., Kumar, R., Nigam, A., Kumar, R., Mandal, S. K., & Roy, R. (2005). Proton MR CSF analysis and a new software as predictors for the differentiation of meningitis in children. NMR in biomedicine, 18(4), 213-225. https://doi.org/10.1002/nbm.944