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Confirmed disability progression provides limited predictive information regarding future disease progression in multiple sclerosis

BACKGROUND: Although confirmed disability progression (CDP) is a common outcome in multiple sclerosis (MS) clinical trials, its predictive value for long-term outcomes is uncertain. OBJECTIVE: To investigate whether CDP at month 24 predicts subsequent disability accumulation in MS. METHODS: The Comp...

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Autores principales: Healy, Brian C, Glanz, Bonnie I, Swallow, Elyse, Signorovitch, James, Hagan, Kaitlin, Silva, Diego, Pelletier, Corey, Chitnis, Tanuja, Weiner, Howard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042549/
https://www.ncbi.nlm.nih.gov/pubmed/33953937
http://dx.doi.org/10.1177/2055217321999070
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author Healy, Brian C
Glanz, Bonnie I
Swallow, Elyse
Signorovitch, James
Hagan, Kaitlin
Silva, Diego
Pelletier, Corey
Chitnis, Tanuja
Weiner, Howard
author_facet Healy, Brian C
Glanz, Bonnie I
Swallow, Elyse
Signorovitch, James
Hagan, Kaitlin
Silva, Diego
Pelletier, Corey
Chitnis, Tanuja
Weiner, Howard
author_sort Healy, Brian C
collection PubMed
description BACKGROUND: Although confirmed disability progression (CDP) is a common outcome in multiple sclerosis (MS) clinical trials, its predictive value for long-term outcomes is uncertain. OBJECTIVE: To investigate whether CDP at month 24 predicts subsequent disability accumulation in MS. METHODS: The Comprehensive Longitudinal Investigation of Multiple Sclerosis at Brigham and Women’s Hospital includes participants with relapsing-remitting MS or clinically isolated syndrome with Expanded Disability Status Scale (EDSS) scores ≤5 (N = 1214). CDP was assessed as a predictor of time to EDSS score 6 (EDSS 6) and to secondary progressive MS (SPMS) using a Cox proportional hazards model; adjusted models included additional clinical/participant characteristics. Models were compared using Akaike’s An Information Criterion. RESULTS: CDP was directionally associated with faster time to EDSS 6 in univariate analysis (HR = 1.61 [95% CI: 0.83, 3.13]). After adjusting for month 24 EDSS, CDP was directionally associated with slower time to EDSS 6 (adjusted HR = 0.65 [0.32, 1.28]). Models including CDP had worse fit statistics than those using EDSS scores without CDP. When models included clinical and magnetic resonance imaging measures, T2 lesion volume improved fit statistics. Results were similar for time to SPMS. CONCLUSIONS: CDP was less predictive of time to subsequent events than other MS clinical features.
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spelling pubmed-80425492021-05-04 Confirmed disability progression provides limited predictive information regarding future disease progression in multiple sclerosis Healy, Brian C Glanz, Bonnie I Swallow, Elyse Signorovitch, James Hagan, Kaitlin Silva, Diego Pelletier, Corey Chitnis, Tanuja Weiner, Howard Mult Scler J Exp Transl Clin Original Research Paper BACKGROUND: Although confirmed disability progression (CDP) is a common outcome in multiple sclerosis (MS) clinical trials, its predictive value for long-term outcomes is uncertain. OBJECTIVE: To investigate whether CDP at month 24 predicts subsequent disability accumulation in MS. METHODS: The Comprehensive Longitudinal Investigation of Multiple Sclerosis at Brigham and Women’s Hospital includes participants with relapsing-remitting MS or clinically isolated syndrome with Expanded Disability Status Scale (EDSS) scores ≤5 (N = 1214). CDP was assessed as a predictor of time to EDSS score 6 (EDSS 6) and to secondary progressive MS (SPMS) using a Cox proportional hazards model; adjusted models included additional clinical/participant characteristics. Models were compared using Akaike’s An Information Criterion. RESULTS: CDP was directionally associated with faster time to EDSS 6 in univariate analysis (HR = 1.61 [95% CI: 0.83, 3.13]). After adjusting for month 24 EDSS, CDP was directionally associated with slower time to EDSS 6 (adjusted HR = 0.65 [0.32, 1.28]). Models including CDP had worse fit statistics than those using EDSS scores without CDP. When models included clinical and magnetic resonance imaging measures, T2 lesion volume improved fit statistics. Results were similar for time to SPMS. CONCLUSIONS: CDP was less predictive of time to subsequent events than other MS clinical features. SAGE Publications 2021-04-11 /pmc/articles/PMC8042549/ /pubmed/33953937 http://dx.doi.org/10.1177/2055217321999070 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research Paper
Healy, Brian C
Glanz, Bonnie I
Swallow, Elyse
Signorovitch, James
Hagan, Kaitlin
Silva, Diego
Pelletier, Corey
Chitnis, Tanuja
Weiner, Howard
Confirmed disability progression provides limited predictive information regarding future disease progression in multiple sclerosis
title Confirmed disability progression provides limited predictive information regarding future disease progression in multiple sclerosis
title_full Confirmed disability progression provides limited predictive information regarding future disease progression in multiple sclerosis
title_fullStr Confirmed disability progression provides limited predictive information regarding future disease progression in multiple sclerosis
title_full_unstemmed Confirmed disability progression provides limited predictive information regarding future disease progression in multiple sclerosis
title_short Confirmed disability progression provides limited predictive information regarding future disease progression in multiple sclerosis
title_sort confirmed disability progression provides limited predictive information regarding future disease progression in multiple sclerosis
topic Original Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042549/
https://www.ncbi.nlm.nih.gov/pubmed/33953937
http://dx.doi.org/10.1177/2055217321999070
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