Predictive validity of NEDA in the 16- and 21-year follow-up from the pivotal trial of interferon beta-1b.


Journal

Multiple sclerosis (Houndmills, Basingstoke, England)
ISSN: 1477-0970
Titre abrégé: Mult Scler
Pays: England
ID NLM: 9509185

Informations de publication

Date de publication:
05 2019
Historique:
pubmed: 16 5 2018
medline: 20 3 2020
entrez: 16 5 2018
Statut: ppublish

Résumé

Long-term follow-up from the randomized trial of interferon beta-1b (IFNB-1b) permitted the assessment of different definitions of no evidence of disease activity (NEDA) for predicting long-term outcome in multiple sclerosis (MS). To examine the predictive validity of different NEDA definitions. Predictive validity for negative disability outcomes (NDOs) at 16 years and survival at 21 years post-randomization were assessed. NEDA in the first 2 years was defined as follows: clinical NEDA: no relapses or Expanded Disability Status Scale (EDSS) progression from baseline to Year 2; NEDA-3a: no relapses, no confirmed ⩾1-point EDSS progression, and no new T2-active lesions; NEDA-3b: no relapses, no EDSS progression, and no increase in T2 burden of disease (T2-BOD); and NEDA-4: no relapses, no EDSS progression, and no increase in T2-BOD or atrophy. NDOs were defined as death, need for wheelchair, EDSS ⩾6, or progressive MS. A total of 245 and 371 patients were evaluated at 16 and 21 years, respectively. Clinical NEDA predicted NDOs ( p = 0.0029), as did baseline EDSS ( p < 0.0001), baseline T2-BOD ( p < 0.0001), and change in T2-BOD ( p = 0.0033). IFNB-1b treatment ( p = 0.0251), relapse rate in the 2 years before study start ( p = 0.0260), T2-BOD at baseline ( p = 0.0014), and change in T2-BOD ( p = 0.0129) predicted survival at 21 years. Clinical NEDA predicted long-term disability outcome. By contrast, definitions of NEDA that included on-therapy changes in magnetic resonance imaging variables did not increase the predictive validity.

Sections du résumé

BACKGROUND
Long-term follow-up from the randomized trial of interferon beta-1b (IFNB-1b) permitted the assessment of different definitions of no evidence of disease activity (NEDA) for predicting long-term outcome in multiple sclerosis (MS).
OBJECTIVE
To examine the predictive validity of different NEDA definitions.
METHODS
Predictive validity for negative disability outcomes (NDOs) at 16 years and survival at 21 years post-randomization were assessed. NEDA in the first 2 years was defined as follows: clinical NEDA: no relapses or Expanded Disability Status Scale (EDSS) progression from baseline to Year 2; NEDA-3a: no relapses, no confirmed ⩾1-point EDSS progression, and no new T2-active lesions; NEDA-3b: no relapses, no EDSS progression, and no increase in T2 burden of disease (T2-BOD); and NEDA-4: no relapses, no EDSS progression, and no increase in T2-BOD or atrophy. NDOs were defined as death, need for wheelchair, EDSS ⩾6, or progressive MS.
RESULTS
A total of 245 and 371 patients were evaluated at 16 and 21 years, respectively. Clinical NEDA predicted NDOs ( p = 0.0029), as did baseline EDSS ( p < 0.0001), baseline T2-BOD ( p < 0.0001), and change in T2-BOD ( p = 0.0033). IFNB-1b treatment ( p = 0.0251), relapse rate in the 2 years before study start ( p = 0.0260), T2-BOD at baseline ( p = 0.0014), and change in T2-BOD ( p = 0.0129) predicted survival at 21 years.
CONCLUSION
Clinical NEDA predicted long-term disability outcome. By contrast, definitions of NEDA that included on-therapy changes in magnetic resonance imaging variables did not increase the predictive validity.

Identifiants

pubmed: 29761737
doi: 10.1177/1352458518773511
doi:

Substances chimiques

Adjuvants, Immunologic 0
Interferon beta-1b 145155-23-3

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

837-847

Auteurs

Douglas S Goodin (DS)

Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.

Anthony T Reder (AT)

Department of Neurology, The University of Chicago, Chicago, IL, USA.

Anthony L Traboulsee (AL)

The University of British Columbia, Vancouver, BC, Canada.

David Kb Li (DK)

The University of British Columbia, Vancouver, BC, Canada.

Dawn Langdon (D)

Department of Psychology, Royal Holloway, University of London, London, UK.

Gary Cutter (G)

Department of Biostatistics, UAB School of Public Health, Birmingham, AL, USA.

Stuart Cook (S)

Department of Neurosciences, Rutgers University, Newark, NJ, USA.

Timothy O'Donnell (T)

Pompton Lakes Pulmonary P.C., Lincoln Park, NJ, USA.

Marcelo Kremenchutzky (M)

Western University and London Health Sciences Centre, London, ON, Canada.

Joel Oger (J)

Department of Neurology, The University of British Columbia, Vancouver, BC, Canada.

Ralf Koelbach (R)

PAREXEL International, Berlin, Germany.

Christoph Pohl (C)

Bayer AG, Berlin, Germany; University Hospital Bonn, Bonn, Germany.

Eva-Maria Wicklein (EM)

Bayer AG, Berlin, Germany.

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Classifications MeSH