Literature DB >> 28766993

Streamlined EDSS for use in multiple sclerosis clinical practice: Development and cross-sectional comparison to EDSS.

Laura E Baldassari1, Amber R Salter2, Erin E Longbrake3, Anne H Cross4, Robert T Naismith4.   

Abstract

BACKGROUND: The Expanded Disability Status Scale (EDSS) is the standard measure of disability in multiple sclerosis clinical trials. The EDSS has limited application in the clinical setting due to required completion time and scoring complexity. Systematically recording an objective, simplified, less time-intensive, and neurologist-derived disability score would be beneficial for patient care.
OBJECTIVE: To develop and validate a streamlined version of the Expanded Disability Status Scale (sEDSS) for clinical monitoring.
METHODS: The EDSS was modified by eliminating maneuvers with no impact on function, consolidating redundancies, and simplifying scoring. This sEDSS was refined and preliminarily validated using a pilot cohort of 102 patients. Subsequently, the sEDSS was retrospectively validated using 968 patients from the CombiRx trial. We evaluated correlation and agreement between each functional system as well as the overall sEDSS and EDSS.
RESULTS: The sEDSS correlated strongly with the EDSS, both overall (Spearman's rho = 0.93) and for each functional system (Spearman's rho 0.65-0.97). Correlation was slightly lower for functional systems where scoring was modified for consolidation and simplification.
CONCLUSION: The sEDSS had strong agreement and correlation with the existing EDSS and can provide a useful measure of disability in clinical practice.

Entities:  

Keywords:  Expanded Disability Status Scale; Multiple sclerosis; clinical scale; disability; disability outcome measure

Mesh:

Year:  2017        PMID: 28766993     DOI: 10.1177/1352458517721357

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


  4 in total

1.  Validation of a machine learning approach to estimate expanded disability status scale scores for multiple sclerosis.

Authors:  Pedro Alves; Eric Green; Michelle Leavy; Haley Friedler; Gary Curhan; Carl Marci; Costas Boussios
Journal:  Mult Scler J Exp Transl Clin       Date:  2022-06-22

2.  Association of Continuous Assessment of Step Count by Remote Monitoring With Disability Progression Among Adults With Multiple Sclerosis.

Authors:  Valerie J Block; Riley Bove; Chao Zhao; Priya Garcha; Jennifer Graves; Andrew R Romeo; Ari J Green; Diane D Allen; Jill A Hollenbach; Jeffrey E Olgin; Gregory M Marcus; Mark J Pletcher; Bruce A C Cree; Jeffrey M Gelfand
Journal:  JAMA Netw Open       Date:  2019-03-01

3.  Using real-world accelerometry-derived diurnal patterns of physical activity to evaluate disability in multiple sclerosis.

Authors:  Jennifer L Keller; Fan Tian; Kathryn C Fitzgerald; Leah Mische; Jesse Ritter; M Gabriela Costello; Ellen M Mowry; Vadim Zippunikov; Kathleen M Zackowski
Journal:  J Rehabil Assist Technol Eng       Date:  2022-01-12

4.  Measuring treatment response to advance precision medicine for multiple sclerosis.

Authors:  Peter A Calabresi; Ludwig Kappos; Gavin Giovannoni; Tatiana Plavina; Irene Koulinska; Michael R Edwards; Bernd Kieseier; Carl de Moor; Elias S Sotirchos; Elizabeth Fisher; Richard A Rudick; Alfred Sandrock
Journal:  Ann Clin Transl Neurol       Date:  2021-10-26       Impact factor: 4.511

  4 in total

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