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Prognostic value of cerebrospinal fluid biomarkers in multiple sclerosis: The key role of kappa free light chains and a multivariate predictor for disease progression

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00098892%3A_____%2F24%3A10158458" target="_blank" >RIV/00098892:_____/24:10158458 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989592:15110/24:73624004 RIV/61989592:15310/24:73624004

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S221103482300901X?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S221103482300901X?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.msard.2023.105402" target="_blank" >10.1016/j.msard.2023.105402</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Prognostic value of cerebrospinal fluid biomarkers in multiple sclerosis: The key role of kappa free light chains and a multivariate predictor for disease progression

  • Original language description

    Objective: Multiple sclerosis (MS) is a chronic, inflammatory, demyelinating disease of the central nervous system with varying progression rates among individuals. The ability to predict disease progression is crucial for treatment decisions with disease-modifying therapies (DMTs). A few cerebrospinal fluid (CSF) biomarkers have been investigated in relation to disease progression, but few have been effectively translated into clinical practice. The aim of this study was to evaluate the diagnostic and prognostic value of known CSF markers, to compare their sensitivity and specificity, and to develop a prognostic model using a combination of markers to predict disease progression. Methods: This retrospective cohort study included 82 patients with a first episode of inflammatory demyelinating symptoms suggestive of MS between January 2018 and January 2021. Patients underwent diagnostic lumbar puncture and other investigations according to the multiple sclerosis (MS) protocol. They were divided into three groups according to MRI findings, relapse rate and EDSS score. CSF marker concentrations were determined by laser nephelometry and electrochemiluminescence immunoassay. Results: The results showed that the number of oligoclonal bands could discriminate the progression-free group from the other groups, but had a lower discriminatory power compared to CSF marker concentrations. Among CSF markers, FLC kappa showed the best discriminatory performance. By combining FLC kappa with gender and lesion localization information, a simple predictor of progression-free group membership was proposed. This predictor showed good sensitivity (91 %) and specificity (65 %). Conclusion: In conclusion, CSF FLC kappa concentration, together with gender and lesion localization, may be a valuable predictor of disease progression in MS patients. This study highlights the potential of using CSF biomarkers for prognostic purposes and offers a simple approach to predicting disease progression.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30210 - Clinical neurology

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Multiple Sclerosis and Related Disorders

  • ISSN

    2211-0348

  • e-ISSN

    2211-0356

  • Volume of the periodical

    82

  • Issue of the periodical within the volume

    February

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    7

  • Pages from-to

    105402

  • UT code for WoS article

    001152297200001

  • EID of the result in the Scopus database

    2-s2.0-85181233088