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Kappa Index versus CSF Oligoclonal Bands in Predicting Multiple Sclerosis and Infectious/Inflammatory CNS Disorders
Background: Cerebrospinal fluid (CSF) kappa free light chains (KFLC) are gaining increasing interest as markers of intrathecal immunoglobulin synthesis. The main aim of this study was to assess the diagnostic accuracy (AUC) of the kappa index (CSF/serum KFLC divided by the CSF/serum albumin ratio) c...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7589948/ https://www.ncbi.nlm.nih.gov/pubmed/33096861 http://dx.doi.org/10.3390/diagnostics10100856 |
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author | Ferraro, Diana Bedin, Roberta Natali, Patrizia Franciotta, Diego Smolik, Krzysztof Santangelo, Mario Immovilli, Paolo Camera, Valentina Vitetta, Francesca Gastaldi, Matteo Trenti, Tommaso Meletti, Stefano Sola, Patrizia |
author_facet | Ferraro, Diana Bedin, Roberta Natali, Patrizia Franciotta, Diego Smolik, Krzysztof Santangelo, Mario Immovilli, Paolo Camera, Valentina Vitetta, Francesca Gastaldi, Matteo Trenti, Tommaso Meletti, Stefano Sola, Patrizia |
author_sort | Ferraro, Diana |
collection | PubMed |
description | Background: Cerebrospinal fluid (CSF) kappa free light chains (KFLC) are gaining increasing interest as markers of intrathecal immunoglobulin synthesis. The main aim of this study was to assess the diagnostic accuracy (AUC) of the kappa index (CSF/serum KFLC divided by the CSF/serum albumin ratio) compared to CSF oligoclonal IgG bands (OCB) in predicting Multiple Sclerosis (MS) or a central nervous system infectious/inflammatory disorder (CNSID). Methods: We enrolled patients who underwent a diagnostic spinal tap throughout two years. KFLC levels were determined using a Freelite assay (Binding Site) and the turbidimetric Optilite analyzer. Results: Of 540 included patients, 223 had a CNSID, and 84 had MS. The kappa index was more sensitive (0.89 versus 0.85) and less specific (0.84 versus 0.89), with the same AUC (0.87) as OCB for MS diagnosis (optimal cut-off: 6.2). Adding patients with a single CSF IgG band to the OCB-positive group slightly increased the AUC (0.88). Likewise, the kappa index (cut-off: 3.9) was more sensitive (0.67 versus 0.50) and less specific (0.81 versus 0.97), with the same AUC (0.74) as OCB, for a CNSID diagnosis. Conclusion: The kappa index and CSF OCB have comparable diagnostic accuracies for a MS or CNSID diagnosis and supply the clinician with useful, complementary information. |
format | Online Article Text |
id | pubmed-7589948 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75899482020-10-29 Kappa Index versus CSF Oligoclonal Bands in Predicting Multiple Sclerosis and Infectious/Inflammatory CNS Disorders Ferraro, Diana Bedin, Roberta Natali, Patrizia Franciotta, Diego Smolik, Krzysztof Santangelo, Mario Immovilli, Paolo Camera, Valentina Vitetta, Francesca Gastaldi, Matteo Trenti, Tommaso Meletti, Stefano Sola, Patrizia Diagnostics (Basel) Article Background: Cerebrospinal fluid (CSF) kappa free light chains (KFLC) are gaining increasing interest as markers of intrathecal immunoglobulin synthesis. The main aim of this study was to assess the diagnostic accuracy (AUC) of the kappa index (CSF/serum KFLC divided by the CSF/serum albumin ratio) compared to CSF oligoclonal IgG bands (OCB) in predicting Multiple Sclerosis (MS) or a central nervous system infectious/inflammatory disorder (CNSID). Methods: We enrolled patients who underwent a diagnostic spinal tap throughout two years. KFLC levels were determined using a Freelite assay (Binding Site) and the turbidimetric Optilite analyzer. Results: Of 540 included patients, 223 had a CNSID, and 84 had MS. The kappa index was more sensitive (0.89 versus 0.85) and less specific (0.84 versus 0.89), with the same AUC (0.87) as OCB for MS diagnosis (optimal cut-off: 6.2). Adding patients with a single CSF IgG band to the OCB-positive group slightly increased the AUC (0.88). Likewise, the kappa index (cut-off: 3.9) was more sensitive (0.67 versus 0.50) and less specific (0.81 versus 0.97), with the same AUC (0.74) as OCB, for a CNSID diagnosis. Conclusion: The kappa index and CSF OCB have comparable diagnostic accuracies for a MS or CNSID diagnosis and supply the clinician with useful, complementary information. MDPI 2020-10-21 /pmc/articles/PMC7589948/ /pubmed/33096861 http://dx.doi.org/10.3390/diagnostics10100856 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ferraro, Diana Bedin, Roberta Natali, Patrizia Franciotta, Diego Smolik, Krzysztof Santangelo, Mario Immovilli, Paolo Camera, Valentina Vitetta, Francesca Gastaldi, Matteo Trenti, Tommaso Meletti, Stefano Sola, Patrizia Kappa Index versus CSF Oligoclonal Bands in Predicting Multiple Sclerosis and Infectious/Inflammatory CNS Disorders |
title | Kappa Index versus CSF Oligoclonal Bands in Predicting Multiple Sclerosis and Infectious/Inflammatory CNS Disorders |
title_full | Kappa Index versus CSF Oligoclonal Bands in Predicting Multiple Sclerosis and Infectious/Inflammatory CNS Disorders |
title_fullStr | Kappa Index versus CSF Oligoclonal Bands in Predicting Multiple Sclerosis and Infectious/Inflammatory CNS Disorders |
title_full_unstemmed | Kappa Index versus CSF Oligoclonal Bands in Predicting Multiple Sclerosis and Infectious/Inflammatory CNS Disorders |
title_short | Kappa Index versus CSF Oligoclonal Bands in Predicting Multiple Sclerosis and Infectious/Inflammatory CNS Disorders |
title_sort | kappa index versus csf oligoclonal bands in predicting multiple sclerosis and infectious/inflammatory cns disorders |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7589948/ https://www.ncbi.nlm.nih.gov/pubmed/33096861 http://dx.doi.org/10.3390/diagnostics10100856 |
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