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Cerebrospinal fluid analysis: disease-related data patterns and evaluation programs.

H Reiber·J B Peter
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Abstract

Cerebrospinal fluid (CSF) analysis is a basic tool for diagnosis of neurological diseases. Knowledge regarding blood-CSF barrier function (molecular flux/CSF flow theory) and neuroimmunology is reviewed to aid understanding and evaluation of CSF data. Disease-related immunoglobulin patterns (IgG, IgA, IgM with reference to albumin) are described in CSF/serum quotient diagrams with the hyperbolic reference range for blood-derived protein fractions in CSF. Clinical relevance of complementary analyses (cytology, PCR, oligoclonal IgG, antibody detection and brain-derived proteins) is briefly discussed. Integrated CSF data reports are shown with numerical and graphical data representation, reference range-related interpretation and diagnosis-related comments. The principles and rationale of general CSF analysis reported in this review should enable the reader to accurately interpret CSF data profiles, and to plan a proper evaluation of new brain- or blood-derived analytes in CSF.

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AlbuminsAutoimmune DiseasesBacterial InfectionsBiomarkers, TumorCentral Nervous System Viral DiseasesCerebrospinal Fluid ProteinsHumansImmunoglobulinsLyme NeuroborreliosisMeningitis, BacterialNervous System DiseasesNeurodegenerative DiseasesNeurosyphilisJournal ArticleReview

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H Reiber, J B Peter. 2001-03-01. Cerebrospinal fluid analysis: disease-related data patterns and evaluation programs.. https://doi.org/10.1016/s0022-510x(00)00501-3

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