Clinical and biological predictors of Cladribine effectiveness in Multiple Sclerosis: A real-world, single Centre study considering a two-year interval from year-2 dosing.

Cladribine tablets Effectiveness Multiple sclerosis NEDA sNfL

Journal

Journal of the neurological sciences
ISSN: 1878-5883
Titre abrégé: J Neurol Sci
Pays: Netherlands
ID NLM: 0375403

Informations de publication

Date de publication:
29 May 2024
Historique:
received: 13 03 2024
revised: 27 05 2024
accepted: 28 05 2024
medline: 9 6 2024
pubmed: 9 6 2024
entrez: 8 6 2024
Statut: aheadofprint

Résumé

Cladribine tablets (CLAD) for adult patients with highly active relapsing multiple sclerosis (RMS) have been available in Italy since 2018. We aimed to assess predictors of no-evidence-of-disease-activity-3 (NEDA-3) status after 24 months of the last dose of CLAD. We included 88 patients (70.5% female, mean age at CLAD start 35.4 ± 11.4). Eighteen patients were treatment naïve, 48 switched to CLAD from a First line Disease Modifying Drug (DMD), and 22 from Second line DMDs. All patients were observed for a median follow-up time of 2.4 (1-4) years after the last dose of CLAD. Forty-nine patients (55.7%) showed NEDA at the last available follow-up. Naïve patients (p = 0.001), those with a lower number of previous DMDs (p < 0.001) and, even though not significantly, those switching from first line DMDs (p = 0.069) were more likely NEDA3 at the last available follow-up. In a subgroup of 30 patients (34%), Serum Light Neurofilaments (sNFL) levels showed a decrease from baseline to the 24 months of follow-up, statistically significant from baseline to the sixth month, and from the first to the second year detection. sNFL levels at 12th month showed a strong inverse correlation with the time to NEDA3 loss. Our experience provides information for the 2-years after the last dose of CLAD, confirming a higher effectiveness of CLAD when placed early in the treatment algorithm. Given the ongoing expansion of the therapeutic landscape in MS, sNfL could support individualized decision-making, used as blood-based biomarker for CLAD responses in clinical practice.

Identifiants

pubmed: 38850773
pii: S0022-510X(24)00205-3
doi: 10.1016/j.jns.2024.123070
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

123070

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Auteurs

A Manni (A)

Department of Translational Biomedicine and Neurosciences (DiBraiN), University of Bari Aldo Moro, Bari, Italy. Electronic address: alessia.manni@uniba.it.

F Oggiano (F)

Department of Translational Biomedicine and Neurosciences (DiBraiN), University of Bari Aldo Moro, Bari, Italy. Electronic address: federica.oggiano@uniba.it.

C Palazzo (C)

Department of Translational Biomedicine and Neurosciences (DiBraiN), University of Bari Aldo Moro, Bari, Italy. Electronic address: claudia.palazzo@uniba.it.

V Panetta (V)

L'altrastatistica srl -Consultancy & Training- Biostatistics office, Rome, Cap 00174, Italy. Electronic address: valentina.panetta@laltrastatistica.com.

C D Gargano (CD)

Department of Translational Biomedicine and Neurosciences (DiBraiN), University of Bari Aldo Moro, Bari, Italy. Electronic address: concetta.gargano@uniba.it.

V Mangialardi (V)

Department of Translational Biomedicine and Neurosciences (DiBraiN), University of Bari Aldo Moro, Bari, Italy.

T Guerra (T)

Department of Translational Biomedicine and Neurosciences (DiBraiN), University of Bari Aldo Moro, Bari, Italy.

A Iaffaldano (A)

Department of Translational Biomedicine and Neurosciences (DiBraiN), University of Bari Aldo Moro, Bari, Italy.

F Caputo (F)

Department of Translational Biomedicine and Neurosciences (DiBraiN), University of Bari Aldo Moro, Bari, Italy.

P Iaffaldano (P)

Department of Translational Biomedicine and Neurosciences (DiBraiN), University of Bari Aldo Moro, Bari, Italy. Electronic address: pietro.iaffaldano@uniba.it.

M Ruggieri (M)

Department of Translational Biomedicine and Neurosciences (DiBraiN), University of Bari Aldo Moro, Bari, Italy. Electronic address: maddalena.ruggieri@uniba.it.

M Trojano (M)

Department of Translational Biomedicine and Neurosciences (DiBraiN), University of Bari Aldo Moro, Bari, Italy. Electronic address: maria.trojano@uniba.it.

D Paolicelli (D)

Department of Translational Biomedicine and Neurosciences (DiBraiN), University of Bari Aldo Moro, Bari, Italy. Electronic address: damiano.paolicelli@uniba.it.

Classifications MeSH