Evidence map›Paper›PMID 37640543›Full record

ArticleNeurology(R) neuroimmunology & neuroinflammation2023

Kappa Free Light Chain Index Predicts Disease Course in Clinically and Radiologically Isolated Syndromes.

Michael Levraut, Antoine Gavoille, Cassandre Landes-Chateau, Mikael Cohen, Saskia Bresch, Barbara Seitz-Polski, Lydiane Mondot, Christine Lebrun-Frenay

Open access · goldAbstract read
In one paragraph

Article in Neurology(R) neuroimmunology & neuroinflammation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
9.2field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 36 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Michael LevrautFrom the URRIS (M.L., C.L.-C., M.C., L.M., C.L.-F.), Unité Mixte de Recherche Clinique Côte d'Azur (UMR2CA); Service de Médecine Interne (M.L.), Hôpital l'Archet 1, Centre Hospitalier Universitaire de Nice; Service de Biostatistique-Bioinformatique (A.G.), Hospices Civils de Lyon; Service de Neurologie (A.G.), Sclérose en Plaques, Pathologies de La Myéline et Neuro-inflammation, Hôpital Neurologique Pierre-Wertheimer, Hospices Civils de Lyon, Bron; Service de Neurologie (M.C., S.B., C.L.-F.), Centre de Ressource et Compétence - Sclérose En Plaques, Hôpital Pasteur 2; ImmunoPredict (B.S.-P.), Unité Mixte de Recherche Clinique Côte d'Azur (UMR2CA); Laboratoire d'Immunologie (B.S.-P.), Hôpital l'Archet 1; and Service de Radiologie (L.M.), Hôpital Pasteur 2, Centre Hospitalier Universitaire de Nice, France. michael.levraut@gmail.com.
Antoine GavoilleFrom the URRIS (M.L., C.L.-C., M.C., L.M., C.L.-F.), Unité Mixte de Recherche Clinique Côte d'Azur (UMR2CA); Service de Médecine Interne (M.L.), Hôpital l'Archet 1, Centre Hospitalier Universitaire de Nice; Service de Biostatistique-Bioinformatique (A.G.), Hospices Civils de Lyon; Service de Neurologie (A.G.), Sclérose en Plaques, Pathologies de La Myéline et Neuro-inflammation, Hôpital Neurologique Pierre-Wertheimer, Hospices Civils de Lyon, Bron; Service de Neurologie (M.C., S.B., C.L.-F.), Centre de Ressource et Compétence - Sclérose En Plaques, Hôpital Pasteur 2; ImmunoPredict (B.S.-P.), Unité Mixte de Recherche Clinique Côte d'Azur (UMR2CA); Laboratoire d'Immunologie (B.S.-P.), Hôpital l'Archet 1; and Service de Radiologie (L.M.), Hôpital Pasteur 2, Centre Hospitalier Universitaire de Nice, France.
Cassandre Landes-ChateauFrom the URRIS (M.L., C.L.-C., M.C., L.M., C.L.-F.), Unité Mixte de Recherche Clinique Côte d'Azur (UMR2CA); Service de Médecine Interne (M.L.), Hôpital l'Archet 1, Centre Hospitalier Universitaire de Nice; Service de Biostatistique-Bioinformatique (A.G.), Hospices Civils de Lyon; Service de Neurologie (A.G.), Sclérose en Plaques, Pathologies de La Myéline et Neuro-inflammation, Hôpital Neurologique Pierre-Wertheimer, Hospices Civils de Lyon, Bron; Service de Neurologie (M.C., S.B., C.L.-F.), Centre de Ressource et Compétence - Sclérose En Plaques, Hôpital Pasteur 2; ImmunoPredict (B.S.-P.), Unité Mixte de Recherche Clinique Côte d'Azur (UMR2CA); Laboratoire d'Immunologie (B.S.-P.), Hôpital l'Archet 1; and Service de Radiologie (L.M.), Hôpital Pasteur 2, Centre Hospitalier Universitaire de Nice, France.
Mikael CohenFrom the URRIS (M.L., C.L.-C., M.C., L.M., C.L.-F.), Unité Mixte de Recherche Clinique Côte d'Azur (UMR2CA); Service de Médecine Interne (M.L.), Hôpital l'Archet 1, Centre Hospitalier Universitaire de Nice; Service de Biostatistique-Bioinformatique (A.G.), Hospices Civils de Lyon; Service de Neurologie (A.G.), Sclérose en Plaques, Pathologies de La Myéline et Neuro-inflammation, Hôpital Neurologique Pierre-Wertheimer, Hospices Civils de Lyon, Bron; Service de Neurologie (M.C., S.B., C.L.-F.), Centre de Ressource et Compétence - Sclérose En Plaques, Hôpital Pasteur 2; ImmunoPredict (B.S.-P.), Unité Mixte de Recherche Clinique Côte d'Azur (UMR2CA); Laboratoire d'Immunologie (B.S.-P.), Hôpital l'Archet 1; and Service de Radiologie (L.M.), Hôpital Pasteur 2, Centre Hospitalier Universitaire de Nice, France.
Saskia BreschFrom the URRIS (M.L., C.L.-C., M.C., L.M., C.L.-F.), Unité Mixte de Recherche Clinique Côte d'Azur (UMR2CA); Service de Médecine Interne (M.L.), Hôpital l'Archet 1, Centre Hospitalier Universitaire de Nice; Service de Biostatistique-Bioinformatique (A.G.), Hospices Civils de Lyon; Service de Neurologie (A.G.), Sclérose en Plaques, Pathologies de La Myéline et Neuro-inflammation, Hôpital Neurologique Pierre-Wertheimer, Hospices Civils de Lyon, Bron; Service de Neurologie (M.C., S.B., C.L.-F.), Centre de Ressource et Compétence - Sclérose En Plaques, Hôpital Pasteur 2; ImmunoPredict (B.S.-P.), Unité Mixte de Recherche Clinique Côte d'Azur (UMR2CA); Laboratoire d'Immunologie (B.S.-P.), Hôpital l'Archet 1; and Service de Radiologie (L.M.), Hôpital Pasteur 2, Centre Hospitalier Universitaire de Nice, France.
Barbara Seitz-PolskiFrom the URRIS (M.L., C.L.-C., M.C., L.M., C.L.-F.), Unité Mixte de Recherche Clinique Côte d'Azur (UMR2CA); Service de Médecine Interne (M.L.), Hôpital l'Archet 1, Centre Hospitalier Universitaire de Nice; Service de Biostatistique-Bioinformatique (A.G.), Hospices Civils de Lyon; Service de Neurologie (A.G.), Sclérose en Plaques, Pathologies de La Myéline et Neuro-inflammation, Hôpital Neurologique Pierre-Wertheimer, Hospices Civils de Lyon, Bron; Service de Neurologie (M.C., S.B., C.L.-F.), Centre de Ressource et Compétence - Sclérose En Plaques, Hôpital Pasteur 2; ImmunoPredict (B.S.-P.), Unité Mixte de Recherche Clinique Côte d'Azur (UMR2CA); Laboratoire d'Immunologie (B.S.-P.), Hôpital l'Archet 1; and Service de Radiologie (L.M.), Hôpital Pasteur 2, Centre Hospitalier Universitaire de Nice, France.
Lydiane MondotFrom the URRIS (M.L., C.L.-C., M.C., L.M., C.L.-F.), Unité Mixte de Recherche Clinique Côte d'Azur (UMR2CA); Service de Médecine Interne (M.L.), Hôpital l'Archet 1, Centre Hospitalier Universitaire de Nice; Service de Biostatistique-Bioinformatique (A.G.), Hospices Civils de Lyon; Service de Neurologie (A.G.), Sclérose en Plaques, Pathologies de La Myéline et Neuro-inflammation, Hôpital Neurologique Pierre-Wertheimer, Hospices Civils de Lyon, Bron; Service de Neurologie (M.C., S.B., C.L.-F.), Centre de Ressource et Compétence - Sclérose En Plaques, Hôpital Pasteur 2; ImmunoPredict (B.S.-P.), Unité Mixte de Recherche Clinique Côte d'Azur (UMR2CA); Laboratoire d'Immunologie (B.S.-P.), Hôpital l'Archet 1; and Service de Radiologie (L.M.), Hôpital Pasteur 2, Centre Hospitalier Universitaire de Nice, France.
Christine Lebrun-FrenayFrom the URRIS (M.L., C.L.-C., M.C., L.M., C.L.-F.), Unité Mixte de Recherche Clinique Côte d'Azur (UMR2CA); Service de Médecine Interne (M.L.), Hôpital l'Archet 1, Centre Hospitalier Universitaire de Nice; Service de Biostatistique-Bioinformatique (A.G.), Hospices Civils de Lyon; Service de Neurologie (A.G.), Sclérose en Plaques, Pathologies de La Myéline et Neuro-inflammation, Hôpital Neurologique Pierre-Wertheimer, Hospices Civils de Lyon, Bron; Service de Neurologie (M.C., S.B., C.L.-F.), Centre de Ressource et Compétence - Sclérose En Plaques, Hôpital Pasteur 2; ImmunoPredict (B.S.-P.), Unité Mixte de Recherche Clinique Côte d'Azur (UMR2CA); Laboratoire d'Immunologie (B.S.-P.), Hôpital l'Archet 1; and Service de Radiologie (L.M.), Hôpital Pasteur 2, Centre Hospitalier Universitaire de Nice, France.ORCID 0000-0002-3713-2416
Service de la Santé Publique · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesTo evaluate whether the kappa free light chain index (K-index) can predict the occurrence of new T2-weighted MRI lesions (T2L) and clinical events in clinically isolated syndrome (CIS) and radiologically isolated syndrome (RIS).

methodsAll consecutive patients presenting for the diagnostic workup, including CSF analysis, of clinical and/or MRI suspicion of multiple sclerosis (MS) since May 1, 2018, were evaluated. All patients diagnosed with CIS and RIS with at least 1-year follow-up were included. Clinical events and new T2L were collected during follow-up. The K-index performances in predicting new T2L and a clinical event were evaluated using time-dependent ROC analyses. The time to clinical event or new T2L was estimated using survival analysis according to the binarized K-index using an independent cutoff of 8.9, and the ability of each variable to predict outcomes was compared using the Harrell c-index.

resultsOne hundred and eighty two patients (146 CIS and 36 RIS, median age 39 [30; 48] y-o, 70% females) were included with a median follow-up of 21 [13, 33] months. One hundred five (58%) patients (85 CIS and 20 RIS) experienced new T2L, and 28 (15%; 21 CIS and 7 RIS) experienced a clinical event. The K-index could predict new T2L over time in CIS (area under the curve [AUC] ranging from 0.86 to 0.96) and in RIS (AUC ranging from 0.84 to 0.54) but also a clinical event in CIS (AUC ranging from 0.75 to 0.87). Compared with oligoclonal bands (OCBs), the K-index had a better sensitivity and a slight lower specificity in predicting new T2L and clinical events in both populations. In the predictive model, the K-index was the variable that best predict new T2L in both CIS and RIS but also clinical events in CIS (c-index ranging from 0.70 to 0.77), better than the other variables, including OCB. DISCUSSION: This study provides evidence that the K-index predicts new T2L in CIS and RIS but also clinical attack in patients with CIS. We suggest adding the K-index in the further MS diagnosis criteria revisions as a dissemination-in-time biomarker.

Indexed as

Autoimmune Diseases of the Nervous SystemDemyelinating DiseasesMultiple SclerosisAdultDisease ProgressionFemaleHumansImmunoglobulin kappa-ChainsMaleSyndromeImmunoglobulin kappa-Chains

Identifiers

PMID37640543
PMCPMC10462056
OpenAlexW4386213334

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