Evidence map›Paper›PMID 41455127›Full record

ArticleClinical chemistry and laboratory medicine2026

Kappa Index predicts disease activity and transition to high-efficacy therapies in multiple sclerosis.

Simone Marcheselli, Federica Galota, Patrizia Natali, Francesco Corrado, Alessia Fiore, Francesca Vitetta, Krzysztof Smolik, Giulia De Napoli, Martina Cardi, Diana Ferraro

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Article in Clinical chemistry and laboratory medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Simone MarcheselliDepartment of Biomedical, Metabolic and Neurosciences, Università degli Studi di Modena e Reggio Emilia, Modena, MO, Italy.
Federica GalotaDepartment of Biomedical, Metabolic and Neurosciences, Università degli Studi di Modena e Reggio Emilia, Modena, MO, Italy.
Patrizia NataliDepartment of Laboratory Medicine, Azienda Ospedaliero-Universitaria and Azienda Unità Sanitaria Locale, Modena, Italy.ORCID 0000-0001-8568-0866
Francesco CorradoDepartment of Biomedical, Metabolic and Neurosciences, Università degli Studi di Modena e Reggio Emilia, Modena, MO, Italy.
Alessia FioreAzienda Ospedaliero-Universitaria di Modena Ospedale Civile di Baggiovara, Neurology Unit, Modena, Italy.
Francesca VitettaAzienda Ospedaliero-Universitaria di Modena Ospedale Civile di Baggiovara, Neurology Unit, Modena, Italy.
Krzysztof SmolikDepartment of Biomedical, Metabolic and Neurosciences, Università degli Studi di Modena e Reggio Emilia, Modena, MO, Italy.
Giulia De NapoliDepartment of Biomedical, Metabolic and Neurosciences, Università degli Studi di Modena e Reggio Emilia, Modena, MO, Italy.
Martina CardiDepartment of Biomedical, Metabolic and Neurosciences, Università degli Studi di Modena e Reggio Emilia, Modena, MO, Italy.
Diana FerraroAzienda Ospedaliero-Universitaria di Modena Ospedale Civile di Baggiovara, Neurology Unit, Modena, Italy.ORCID 0000-0003-4818-3806

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe Kappa Index has proven its diagnostic value for multiple sclerosis (MS), while its prognostic potential remains to be fully explored. The objective of this study is thus to investigate the value of the Kappa Index at disease onset in predicting disease activity and high-efficacy therapy (HET) initiation.

methodsWe enrolled MS patients with available Kappa Index values at disease onset and a follow-up of at least two years. Primary outcome was the time to loss of NEDA3 (no evidence of disease activity-3) defined as the absence of relapses, MRI activity, and disability progression. Secondary outcome was the time to HET initiation.

resultsOf 120 enrolled patients (36 M, 84 F, mean age: 35 ± 11 years), NEDA3 loss occurred in 89 (74 %) by the end of the follow-up period. A total of 98 (82 %) initiated a moderate efficacy therapy (MET); of these, 34 (28 %) transitioned to a HET during follow-up. Kappa Index values above the maximally selected log-rank statistic-derived cut-off of 38 were independent risk factors for NEDA3 loss (HR 1.75, 95 % CI: 1.09-2.80, p=0.021) and HET initiation (3.25, 95 % CI: 1.54-6.87, p=0.002) and also independently predicted HET following MET failure (2.54, 95 % CI: 1.17-5.51, p=0.018).

conclusionsElevated Kappa Index values at diagnosis predict disease activity, MET failure and HET initiation and may be a valuable adjunctive tool in identifying patients in need of prompt HET initiation.

Indexed as

Multiple SclerosisAdultDisease ProgressionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPrognosisKappa Indexmultiple sclerosisNEDA3prognosistreatment failure

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