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Mapping the 12-item multiple sclerosis walking scale to the EuroQol 5-dimension index measure in North American multiple sclerosis patients
OBJECTIVE: To map the 12-item Multiple Sclerosis Walking Scale (MSWS-12) onto the EuroQol 5-dimension (EQ-5D) health-utility index in multiple sclerosis (MS) patients participating in the North American Research Committee on Multiple Sclerosis (NARCOMS) registry. DESIGN: Cross-sectional MSWS-12 to E...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3664349/ https://www.ncbi.nlm.nih.gov/pubmed/23793699 http://dx.doi.org/10.1136/bmjopen-2013-002798 |
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author | Sidovar, Matthew F Limone, Brendan L Lee, Soyon Coleman, Craig I |
author_facet | Sidovar, Matthew F Limone, Brendan L Lee, Soyon Coleman, Craig I |
author_sort | Sidovar, Matthew F |
collection | PubMed |
description | OBJECTIVE: To map the 12-item Multiple Sclerosis Walking Scale (MSWS-12) onto the EuroQol 5-dimension (EQ-5D) health-utility index in multiple sclerosis (MS) patients participating in the North American Research Committee on Multiple Sclerosis (NARCOMS) registry. DESIGN: Cross-sectional MSWS-12 to EQ-5D cross-walking analysis. SETTING: NARCOMS registry spring 2010 biannual update and supplemental survey. PARTICIPANTS: North American patients completing both the MSWS-12 and the EQ-5D randomly split into derivation and validation cohorts. OUTCOME MEASURES: Ordinary least squares regression was performed within the derivation cohort, with participants’ EQ-5D as the dependent variable. Results of the MSWS-12 were input as independent variable(s) into six regression models. Model goodness-of-fit was subsequently assessed in the validation cohort using the mean absolute error (MAE), root mean square error (RMSE) and the adjusted R(2). The best performing model was refined in the entire cohort and utilised for additional analyses. RESULTS: A total of 3505 NARCOMS participants were included. Their mean±SD EQ-5D and MSWS-12 scores were 0.74±0.18 and 50.8±33.5, respectively, and these assessments were found to be moderately correlated (r=–0.553, p<0.001). The model using all individual MSWS-12 item scores as independent variables was found to have the best fit (MAE=0.109±0.096, RMSE=0.145, adjusted R(2)=0.329). The percentage of EQ-5D estimates within 0.05 and 0.10 of the actual value were 30% and 61%, respectively. This mapping equation was more precise in patients with moderate mobility impairment (MAE=0.087±0.061 at patient-determined disease step (PDDS) of 3–6) and less precise in patients with no (MAE=0.141±0.128 at PDDS of 0–2) or severe mobility impairment (MAE=0.121±0.049 at PDDS ≥7). CONCLUSIONS: The EQ-5D scores can be predicted using the MSWS-12 item scores with reasonable precision in North American patients with MS. Prediction estimates were more precise in patients with moderate mobility impairment. |
format | Online Article Text |
id | pubmed-3664349 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-36643492013-05-31 Mapping the 12-item multiple sclerosis walking scale to the EuroQol 5-dimension index measure in North American multiple sclerosis patients Sidovar, Matthew F Limone, Brendan L Lee, Soyon Coleman, Craig I BMJ Open Neurology OBJECTIVE: To map the 12-item Multiple Sclerosis Walking Scale (MSWS-12) onto the EuroQol 5-dimension (EQ-5D) health-utility index in multiple sclerosis (MS) patients participating in the North American Research Committee on Multiple Sclerosis (NARCOMS) registry. DESIGN: Cross-sectional MSWS-12 to EQ-5D cross-walking analysis. SETTING: NARCOMS registry spring 2010 biannual update and supplemental survey. PARTICIPANTS: North American patients completing both the MSWS-12 and the EQ-5D randomly split into derivation and validation cohorts. OUTCOME MEASURES: Ordinary least squares regression was performed within the derivation cohort, with participants’ EQ-5D as the dependent variable. Results of the MSWS-12 were input as independent variable(s) into six regression models. Model goodness-of-fit was subsequently assessed in the validation cohort using the mean absolute error (MAE), root mean square error (RMSE) and the adjusted R(2). The best performing model was refined in the entire cohort and utilised for additional analyses. RESULTS: A total of 3505 NARCOMS participants were included. Their mean±SD EQ-5D and MSWS-12 scores were 0.74±0.18 and 50.8±33.5, respectively, and these assessments were found to be moderately correlated (r=–0.553, p<0.001). The model using all individual MSWS-12 item scores as independent variables was found to have the best fit (MAE=0.109±0.096, RMSE=0.145, adjusted R(2)=0.329). The percentage of EQ-5D estimates within 0.05 and 0.10 of the actual value were 30% and 61%, respectively. This mapping equation was more precise in patients with moderate mobility impairment (MAE=0.087±0.061 at patient-determined disease step (PDDS) of 3–6) and less precise in patients with no (MAE=0.141±0.128 at PDDS of 0–2) or severe mobility impairment (MAE=0.121±0.049 at PDDS ≥7). CONCLUSIONS: The EQ-5D scores can be predicted using the MSWS-12 item scores with reasonable precision in North American patients with MS. Prediction estimates were more precise in patients with moderate mobility impairment. BMJ Publishing Group 2013-05-18 /pmc/articles/PMC3664349/ /pubmed/23793699 http://dx.doi.org/10.1136/bmjopen-2013-002798 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/3.0/ and http://creativecommons.org/licenses/by-nc/3.0/legalcode |
spellingShingle | Neurology Sidovar, Matthew F Limone, Brendan L Lee, Soyon Coleman, Craig I Mapping the 12-item multiple sclerosis walking scale to the EuroQol 5-dimension index measure in North American multiple sclerosis patients |
title | Mapping the 12-item multiple sclerosis walking scale to the EuroQol 5-dimension index measure in North American multiple sclerosis patients |
title_full | Mapping the 12-item multiple sclerosis walking scale to the EuroQol 5-dimension index measure in North American multiple sclerosis patients |
title_fullStr | Mapping the 12-item multiple sclerosis walking scale to the EuroQol 5-dimension index measure in North American multiple sclerosis patients |
title_full_unstemmed | Mapping the 12-item multiple sclerosis walking scale to the EuroQol 5-dimension index measure in North American multiple sclerosis patients |
title_short | Mapping the 12-item multiple sclerosis walking scale to the EuroQol 5-dimension index measure in North American multiple sclerosis patients |
title_sort | mapping the 12-item multiple sclerosis walking scale to the euroqol 5-dimension index measure in north american multiple sclerosis patients |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3664349/ https://www.ncbi.nlm.nih.gov/pubmed/23793699 http://dx.doi.org/10.1136/bmjopen-2013-002798 |
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