Literature DB >> 33210986

Transition to secondary progression in relapsing-onset multiple sclerosis: Definitions and risk factors.

Pietro Iaffaldano1, Giuseppe Lucisano2, Francesco Patti3, Vincenzo Brescia Morra4, Giovanna De Luca5, Alessandra Lugaresi6, Mauro Zaffaroni7, Matilde Inglese8, Giuseppe Salemi9, Eleonora Cocco10, Antonella Conte11, Diana Ferraro12, Simonetta Galgani13, Roberto Bergamaschi14, Carlo Pozzilli15, Marco Salvetti16, Giacomo Lus17, Marco Rovaris18, Giorgia Teresa Maniscalco19, Francesco Ottavio Logullo20, Damiano Paolicelli1, Mariaclara Achille1, Giuseppina Marrazzo21, Valeria Lovato21, Giancarlo Comi22, Massimo Filippi22, Maria Pia Amato23, Maria Trojano1.   

Abstract

BACKGROUND: No uniform criteria for a sensitive identification of the transition from relapsing-remitting multiple sclerosis (MS) to secondary-progressive multiple sclerosis (SPMS) are available.
OBJECTIVE: To compare risk factors of SPMS using two definitions: one based on the neurologist judgment (ND) and an objective data-driven algorithm (DDA).
METHODS: Relapsing-onset MS patients (n = 19,318) were extracted from the Italian MS Registry. Risk factors for SPMS and for reaching irreversible Expanded Disability Status Scale (EDSS) 6.0, after SP transition, were estimated using multivariable Cox regression models.
RESULTS: SPMS identified by the DDA (n = 2343, 12.1%) were older, more disabled and with a faster progression to severe disability (p < 0.0001), than those identified by the ND (n = 3868, 20.0%). In both groups, the most consistent risk factors (p < 0.05) for SPMS were a multifocal onset, an age at onset >40 years, higher baseline EDSS score and a higher number of relapses; the most consistent protective factor was the disease-modifying therapy (DMT) exposure. DMT exposure during SP did not impact the risk of reaching irreversible EDSS 6.0.
CONCLUSION: A DDA definition of SPMS identifies more aggressive progressive patients. DMT exposure reduces the risk of SPMS conversion, but it does not prevent the disability accumulation after the SP transition.

Entities:  

Keywords:  Multiple sclerosis; big data; data-driven algorithm; disease registry; prognosis; secondary progressive

Year:  2020        PMID: 33210986     DOI: 10.1177/1352458520974366

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  3 in total

1.  Are Neurophysiological Biomarkers Able to Discriminate Multiple Sclerosis Clinical Subtypes?

Authors:  Daniele Belvisi; Matteo Tartaglia; Giovanna Borriello; Viola Baione; Sebastiano Giuseppe Crisafulli; Valeria Zuccoli; Giorgio Leodori; Antonio Ianniello; Gabriele Pasqua; Patrizia Pantano; Alfredo Berardelli; Carlo Pozzilli; Antonella Conte
Journal:  Biomedicines       Date:  2022-01-21

2.  Early versus delayed treatment with glatiramer acetate: Analysis of up to 27 years of continuous follow-up in a US open-label extension study.

Authors:  Corey C Ford; Jeffrey A Cohen; Andrew D Goodman; John W Lindsey; Robert P Lisak; Christopher Luzzio; Amy Pruitt; John Rose; Horea Rus; Jerry S Wolinsky; Shaul E Kadosh; Emily Bernstein-Hanlon; Yafit Stark; Jessica K Alexander
Journal:  Mult Scler       Date:  2022-06-29       Impact factor: 5.855

3.  Impact of CYBA genotypes on severity and progression of multiple sclerosis.

Authors:  Andreas Törnell; Roberta Kiffin; Sara Haghighi; Natalia Mossberg; Oluf Andersen; Kristoffer Hellstrand; Anna Martner
Journal:  Eur J Neurol       Date:  2022-02-06       Impact factor: 6.288

  3 in total

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