Middle-range scores from the patient determined disease steps scale reflect varying levels of walking dysfunction in multiple sclerosis.


Journal

BMC neurology
ISSN: 1471-2377
Titre abrégé: BMC Neurol
Pays: England
ID NLM: 100968555

Informations de publication

Date de publication:
10 Oct 2024
Historique:
received: 09 05 2024
accepted: 19 09 2024
medline: 11 10 2024
pubmed: 11 10 2024
entrez: 10 10 2024
Statut: epublish

Résumé

Multiple sclerosis (MS) is a leading cause of neurological disability among young and middle-aged adults worldwide, and disability is measured using a variety of approaches, including patient reported outcome measures (PROMs) such as the Patient Determined Disease Steps (PDDS) scale. There is limited evidence for the validity of inferences from the middle-range of scores on the PDDS (i.e., 3 "gait disability" - 6 "bilateral support"), but that range of scores seemingly represents moderate disability characterized by varying levels of walking dysfunction. The current study examined whether the middle-range of scores from the PDDS reflect varying levels of walking dysfunction among people with MS. Participants (N = 374) completed the Patient Determined Disease Steps (PDDS) scale, Multiple Sclerosis Walking Scale-12 (MSWS-12), timed 25-foot walk (T25FW), six-minute walk (6 MW), Modified Fatigue Impact Scale (MFIS), and Multiple Sclerosis Impact Scale-29 (MSIS-29), and underwent a neurological exam for generating an Expanded Disability Status Scale (EDSS) score as part of screening and baseline data collection for a clinical trial of exercise training in MS. We undertook a series of linear trend analyses that examined differences in the outcomes of EDSS, T25FW, 6 MW, MSWS-12, MFIS subscales, and MSIS-29 subscales across the 4 levels of PDDS scores (i.e., 3-6). There were statistically significant and strong linear trends for EDSS (F The PDDS could serve as a simple, inexpensive, and rapidly administered PROM for remote screening and early detection of walking dysfunction for initial eligibility into clinical trials and practice for managing mobility-specific disability in MS. The study was registered on ClinicalTrials.gov on March 19, 2018 (NCT03468868).

Sections du résumé

BACKGROUND BACKGROUND
Multiple sclerosis (MS) is a leading cause of neurological disability among young and middle-aged adults worldwide, and disability is measured using a variety of approaches, including patient reported outcome measures (PROMs) such as the Patient Determined Disease Steps (PDDS) scale. There is limited evidence for the validity of inferences from the middle-range of scores on the PDDS (i.e., 3 "gait disability" - 6 "bilateral support"), but that range of scores seemingly represents moderate disability characterized by varying levels of walking dysfunction.
PURPOSE OBJECTIVE
The current study examined whether the middle-range of scores from the PDDS reflect varying levels of walking dysfunction among people with MS.
METHOD METHODS
Participants (N = 374) completed the Patient Determined Disease Steps (PDDS) scale, Multiple Sclerosis Walking Scale-12 (MSWS-12), timed 25-foot walk (T25FW), six-minute walk (6 MW), Modified Fatigue Impact Scale (MFIS), and Multiple Sclerosis Impact Scale-29 (MSIS-29), and underwent a neurological exam for generating an Expanded Disability Status Scale (EDSS) score as part of screening and baseline data collection for a clinical trial of exercise training in MS. We undertook a series of linear trend analyses that examined differences in the outcomes of EDSS, T25FW, 6 MW, MSWS-12, MFIS subscales, and MSIS-29 subscales across the 4 levels of PDDS scores (i.e., 3-6).
RESULTS RESULTS
There were statistically significant and strong linear trends for EDSS (F
CONCLUSION CONCLUSIONS
The PDDS could serve as a simple, inexpensive, and rapidly administered PROM for remote screening and early detection of walking dysfunction for initial eligibility into clinical trials and practice for managing mobility-specific disability in MS.
REGISTRATION BACKGROUND
The study was registered on ClinicalTrials.gov on March 19, 2018 (NCT03468868).

Identifiants

pubmed: 39390466
doi: 10.1186/s12883-024-03871-1
pii: 10.1186/s12883-024-03871-1
doi:

Banques de données

ClinicalTrials.gov
['NCT03468868']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

383

Subventions

Organisme : Patient-Centered Outcomes Research Institute
ID : MS-1610-36999
Pays : United States

Informations de copyright

© 2024. The Author(s).

Références

Segal BM. 66 – multiple sclerosis. In: Rich RR, Fleisher TA, Shearer WT, Schroeder HW, Frew AJ, Weyand CM, editors. Clinical immunology: principles and practice. 5th ed. Elsevier; 2019. pp. 891–e9021.
Kieseier BC, Pozzilli C. Assessing walking disability in multiple sclerosis. Mult Scler. 2012;18:914–24.
doi: 10.1177/1352458512444498 pubmed: 22740603
Rizzo MA, Hadjimichael O, Preiningerova J, et al. Pravelence and treatment of spasticity reported by multiple sclerosis patients. Mult Scler. 2004;10:589–95.
doi: 10.1191/1352458504ms1085oa pubmed: 15471378
Hohol MJ, Orav EJ, Weiner HL. Disease steps in multiple sclerosis: a simple approach to evaluate disease progression. Neurology. 1995;45:251–5.
doi: 10.1212/WNL.45.2.251 pubmed: 7854521
Marrie RA, Cutter G, Tyry T, et al. Does multiple sclerosis-associated disability differ between. Races? Neurol. 2006;66:1235–40.
doi: 10.1212/01.wnl.0000208505.81912.82
Marrie RA, Horwitz R, Cutter G, et al. Comorbidity delays diagnosis and increases disability at diagnosis in MS. Neurology. 2009;72:117–24.
doi: 10.1212/01.wnl.0000333252.78173.5f pubmed: 18971448 pmcid: 2677495
Foong YC, Merlo D, Gresle M, et al. The patient-determined disease steps scale is not interchangeable with the expanded Disease Status Scale in mild to moderate multiple sclerosis. Eur J Neurol. 2024;31:e16046.
doi: 10.1111/ene.16046 pubmed: 37584176
Marrie RA, McFadyen C, Yaeger L, et al. A systematic review of the validity and reliability of the patient-determined disease steps scale. Int J MS Care. 2023;25:20–5.
doi: 10.7224/1537-2073.2021-102
Messick S. Validity of psychological assessment: validation of inferences from persons’ responses and performances as scientific inquiry into score meaning. Am Psychol. 1995;50:741–9.
doi: 10.1037/0003-066X.50.9.741
Confavreux C, Vukusic S, Moreau T, et al. Relapses and progression of disability in multiple sclerosis. N Engl J Med. 2000;343:1430–80.
doi: 10.1056/NEJM200011163432001 pubmed: 11078767
Confavreux C, Vukusic S, Adeleine P. Early clinical predictors and progression of irreversible disability in multiple sclerosis: an amnesic process. Brain. 2003;126:770–82.
doi: 10.1093/brain/awg081 pubmed: 12615637
Goldman MD, Motl RW, Rudick RA. Possible clinical outcome measures for clinical trials in patients with multiple sclerosis. Ther Adv Neurol Disord. 2010;3:229–39.
doi: 10.1177/1756285610374117 pubmed: 21179614 pmcid: 3002657
Baird JF, Sandroff BM, Motl RW. Therapies for mobility disability in persons with multiple sclerosis. Expert Rev Neurother. 2018;18:493–502.
doi: 10.1080/14737175.2018.1478289 pubmed: 29772185 pmcid: 6291756
Motl RW, Backus D, Neal WN, et al. Rationale and design of the STEP for MS Trial: comparative effectiveness of supervised versus Telerehabilitation Exercise Programs for multiple sclerosis. Contemp Clin Trials. 2019;81:110–22.
doi: 10.1016/j.cct.2019.04.013 pubmed: 31022481
Hobart JC, Riazi A, Lamping DL, et al. Measuring the impact of MS on walking ability: the 12-item MS walking scale (MSWS-12). Neurology. 2003;60:31–6.
doi: 10.1212/WNL.60.1.31 pubmed: 12525714
Motl RW, Cohen JA, Benedict R, et al. Validity of the timed 25-foot walk as an ambulatory performance outcome measure for multiple sclerosis. Mult Scler. 2017;23:704–10.
doi: 10.1177/1352458517690823 pubmed: 28206828 pmcid: 5405807
Goldman MD, Marrie RA, Cohen JA. Evaluation of the six-minute walk in multiple sclerosis subjects and healthy controls. Mult Scler. 2008;14:383–90.
doi: 10.1177/1352458507082607 pubmed: 17942508
Kurtzke JF. Rating neurological impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology. 1983;33:1444–52.
doi: 10.1212/WNL.33.11.1444 pubmed: 6685237
Ritvo PG, Fischer JS, Miller DM, et al. MSQLI: multiple sclerosis quality of Life Inventory: a user’s Manual. New York, NY: National Multiple Sclerosis Society; 1997.
Hobart J, Lamping D, Fitzpatrick R, et al. The multiple sclerosis impact scale (MSIS-29): a new patient-based outcome measure. Brain. 2001;124:962–73.
doi: 10.1093/brain/124.5.962 pubmed: 11335698
Cohen J. A power primer. Psychol Bull. 1992;112:155–9.
doi: 10.1037/0033-2909.112.1.155 pubmed: 19565683
Henning DA, Edwards EM, Ansara M, et al. Validating the walking while talking test to measure motor, cognitive, and dual-task performance in ambulatory individuals with multiple sclerosis. Mult Scler Relat Disord. 2021;54:102123.
doi: 10.1016/j.msard.2021.103123
Sandroff BM, Pilutti LA, Dlugonski D, et al. Comparing two conditions of administering the six-minute walk test in people with multiple sclerosis. Int J MS Care. 2014;16:48–54.
doi: 10.7224/1537-2073.2013-014 pubmed: 24688354 pmcid: 3967703
Skjerbaek AG, Dalgsa U, Stenagar E, et al. The six-spot step test is superior in detecting walking capacity impairments compared with short- and long-distance walk tests in persons with multiple sclerosis. Mult Scler J Exp Transl Clin. 2023;9:20552173231218127.
pubmed: 38105806 pmcid: 10722939
Learmonth YC, Motl RW, Sandroff BM, et al. Validation of patient determined disease steps (PDDS) scale scores in persons with multiple sclerosis. BMC Neurol. 2013;13:37.
doi: 10.1186/1471-2377-13-37 pubmed: 23617555 pmcid: 3651716

Auteurs

Robert Motl (R)

Department of Kinesiology and Nutrition, University of Illinois at Chicago, 1919 West Taylor St, Applied Health Sciences Building, Room 506J, Chicago, IL, 60612, USA. robmotl@uic.edu.

Whitney Neal (W)

Department of Physical Therapy, University of Alabama at Birmingham, Birmingham, AL, USA.

Deborah Backus (D)

Shepherd Center, Atlanta, GA, USA.

Jeffrey Hebert (J)

School of Medicine, University of Colorado Anschutz Medical Campus, Denver, CO, USA.

Kevin McCully (K)

Department of Kinesiology, University of Georgia, Athens, GA, USA.

Francois Bethoux (F)

Mellen Center for MS, Neurological Institute, Cleveland Clinic, Cleveland, Oh, USA.

Prudence Plummer (P)

Department of Physical Therapy, MGH Institute of Health Professions, Boston, MA, USA.

Alexander Ng (A)

Program in Exercise Science, Department of Physical Therapy, Marquette University, Milwaukee, WI, USA.

John Lowman (J)

Department of Physical Therapy, University of Alabama at Birmingham, Birmingham, AL, USA.

Hollie Schmidt (H)

Accelerated Cure Project for Multiple Sclerosis, Boston, MA, USA.

Robert McBurney (R)

Accelerated Cure Project for Multiple Sclerosis, Boston, MA, USA.

Gary Cutter (G)

Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH