Publication:
Kappa free light chains is a valid tool in the diagnostics of MS: a large multicenter study

dc.contributor.coauthorLeurs, C.E.
dc.contributor.coauthorTwaalfhoven, H.A.M.
dc.contributor.coauthorLissenberg-Witte, B.I.
dc.contributor.coauthorvan Pesch, V.
dc.contributor.coauthorDujmovic, I.
dc.contributor.coauthorDrulovic, J.
dc.contributor.coauthorCastellazzi, M.
dc.contributor.coauthorBellini, T.
dc.contributor.coauthorPugliatti, M.
dc.contributor.coauthorKuhle, J.
dc.contributor.coauthorVillar, L.M.
dc.contributor.coauthorAlvarez-Cermeño, J.C.
dc.contributor.coauthorAlvarez-Lafuente, R.
dc.contributor.coauthorHegen, H.
dc.contributor.coauthorDeisenhammer, F.
dc.contributor.coauthorWalchhofer, L.M.
dc.contributor.coauthorThouvenot, E.
dc.contributor.coauthorComabella, M.
dc.contributor.coauthorMontalban, X.
dc.contributor.coauthorVécsei, L.
dc.contributor.coauthorRajda, C.
dc.contributor.coauthorGalimberti, D.
dc.contributor.coauthorScarpini, E.
dc.contributor.coauthorRejdak, K.
dc.contributor.coauthorFrederiksen, J.L.
dc.contributor.coauthorPihl-Jensen, G.
dc.contributor.coauthorJensen, P.E.H.
dc.contributor.coauthorKhalil, M.
dc.contributor.coauthorVoortman, M.M.
dc.contributor.coauthorFazekas, F.
dc.contributor.coauthorSaiz, A.
dc.contributor.coauthorLa Puma, D.
dc.contributor.coauthorVercammen, M.
dc.contributor.coauthorVanopdenbosch, L.
dc.contributor.coauthorUitdehaag, B.M.J.
dc.contributor.coauthorKillestein, J.
dc.contributor.coauthorBridel, C.
dc.contributor.coauthorTeunissen, C.
dc.contributor.departmentSchool of Medicine
dc.contributor.kuauthorAltıntaş, Ayşe
dc.contributor.schoolcollegeinstituteSCHOOL OF MEDICINE
dc.date.accessioned2024-11-09T13:09:00Z
dc.date.issued2019
dc.description.abstractObjective: to validate kappa free light chain (KFLC) and lambda free light chain (LFLC) indices as a diagnostic biomarker in multiple sclerosis (MS). Methods: we performed a multicenter study including 745 patients from 18 centers (219 controls and 526 clinically isolated syndrome (CIS)/MS patients) with a known oligoclonal IgG band (OCB) status. KFLC and LFLC were measured in paired cerebrospinal fluid (CSF) and serum samples. Gaussian mixture modeling was used to define a cut-off for KFLC and LFLC indexes. Results: the cut-off for the KFLC index was 6.6 (95% confidence interval (CI) = 5.2–138.1). The cut-off for the LFLC index was 6.9 (95% CI = 4.5–22.2). For CIS/MS patients, sensitivity of the KFLC index (0.88; 95% CI = 0.85–0.90) was higher than OCB (0.82; 95%CI = 0.79–0.85; p < 0.001), but specificity (0.83; 95% CI = 0.78–0.88) was lower (OCB = 0.92; 95% CI = 0.89–0.96; p < 0.001). Both sensitivity and specificity for the LFLC index were lower than OCB. Conclusion: compared with OCB, the KFLC index is more sensitive but less specific for diagnosing CIS/MS. Lacking an elevated KFLC index is more powerful for excluding MS compared with OCB but the latter is more important for ruling in a diagnosis of CIS/MS.
dc.description.fulltextYES
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.issue8
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipN/A
dc.description.versionPublisher version
dc.description.volume26
dc.identifier.doi10.1177/1352458519845844
dc.identifier.embargoNO
dc.identifier.filenameinventorynoIR01626
dc.identifier.issn1352-4585
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-85065731162
dc.identifier.urihttps://hdl.handle.net/20.500.14288/2728
dc.keywordsBiomarkers
dc.keywordsCSF
dc.keywordsKFLC
dc.keywordsMultiple sclerosis
dc.keywordsOCB
dc.language.isoeng
dc.publisherSage
dc.relation.grantnoNA
dc.relation.ispartofMultiple Sclerosis Journal
dc.relation.urihttp://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/8261
dc.subjectMedicine
dc.titleKappa free light chains is a valid tool in the diagnostics of MS: a large multicenter study
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorAltıntaş, Ayşe
local.publication.orgunit1SCHOOL OF MEDICINE
local.publication.orgunit2School of Medicine
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