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Evaluation of two assays for CXCL13 analysis in cerebrospinal fluid for laboratory diagnosis of Lyme neuroborreliosis
Regional Jonköping County, Sweden.
Regional Jonköping County, Sweden.
Regional Jonköping County, Sweden.
Centre Clin Research Dalarna, Sweden.
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2016 (English)In: Acta Pathologica, Microbiologica et Immunologica Scandinavica (APMIS), ISSN 0903-4641, E-ISSN 1600-0463, Vol. 124, no 11, p. 985-990Article in journal (Refereed) Published
Abstract [en]

We evaluated the diagnostic performance of two assays, one bead-based assay and one enzyme-linked immunosorbent assay (ELISA), for the determination of CXCL13 levels in cerebrospinal fluid (CSF) from patients with suspected Lyme neuroborreliosis (LNB). Patients investigated for LNB were retrospectively included (n = 132): 35 with definite LNB, 8 with possible LNB with CSF pleocytosis but normal antibody index (AI), 6 with possible LNB with elevated AI but no CSF pleocytosis and 83 non-LNB patients. CSF samples had been drawn before antibiotic treatment and were analysed for CXCL13 by Quantikine ELISA (Ramp;D Systems) and recomBead (Mikrogen). Receiver operating characteristic analyses based on the definite LNB and non-LNB groups revealed a best performance cut-off of 56 pg/mL for Quantikine and 158 pg/mL for recomBead (sensitivity and specificity 100% for both assays). When applying these cut-off levels on the study groups, the two assays performed equally well regarding sensitivity and specificity. In the group of patients with pleocytosis but negative AI, the majority of whom were children with short symptom duration, the CXCL13 analysis supported the LNB diagnosis in half of the cases. We consider CSF-CXCL13 analysis a useful diagnostic tool, in addition to Borrelia-specific AI, in laboratory diagnostics of LNB.

Place, publisher, year, edition, pages
WILEY-BLACKWELL , 2016. Vol. 124, no 11, p. 985-990
Keywords [en]
Lyme neuroborreliosis; cerebrospinal fluid; CXCL13; sensitivity; specificity
National Category
Biomedical Laboratory Science/Technology
Identifiers
URN: urn:nbn:se:liu:diva-133270DOI: 10.1111/apm.12596ISI: 000388264900010PubMedID: 27651242OAI: oai:DiVA.org:liu-133270DiVA, id: diva2:1057476
Note

Funding Agencies|Division of Medical Services, Region Jonkoping County; ScandTick Innovation, an Interreg V A project

Available from: 2016-12-18 Created: 2016-12-15 Last updated: 2017-11-29

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Tjernberg, Ivar
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