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Mobility Analysis of AmpuTees II: Comorbidities and Mobility in Lower Limb Prosthesis Users
OBJECTIVE: The aim of the study was to determine the impact of comorbidities on mobility in patients with lower limb prostheses. DESIGN: Cohort database chart review was conducted to examine mobility in lower limb prosthesis users grouped according to comorbidities. Regression models were used to de...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6259875/ https://www.ncbi.nlm.nih.gov/pubmed/29781963 http://dx.doi.org/10.1097/PHM.0000000000000967 |
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author | Wurdeman, Shane R. Stevens, Phillip M. Campbell, James H. |
author_facet | Wurdeman, Shane R. Stevens, Phillip M. Campbell, James H. |
author_sort | Wurdeman, Shane R. |
collection | PubMed |
description | OBJECTIVE: The aim of the study was to determine the impact of comorbidities on mobility in patients with lower limb prostheses. DESIGN: Cohort database chart review was conducted to examine mobility in lower limb prosthesis users grouped according to comorbidities. Regression models were used to determine significant predictor comorbidities for mobility. General linear univariate models were implemented to investigate differences in mobility among cohorts (N = 596). RESULTS: Patient age and history of stroke, peripheral vascular disease, and anxiety/panic disorders were predictors of decreased mobility. After adjusting for covariates, the differences in mobility reported by patients older than 65 yrs was compared with those younger than 65 yrs; in addition, we compared those with a history of peripheral vascular disease with those without. The comparative analyses for both categories did not satisfy the minimal clinically important difference. There were no significant differences when comparing overall comorbid health after adjusting for covariates. CONCLUSIONS: Clinicians should consider patient age and history of stroke, peripheral vascular disease, or anxiety/panic disorders when optimizing a lower limb prosthesis users' mobility because these variables may be predictive of modest but clinically meaningful decreased prosthetic mobility. By contrast, common comorbid health conditions such as arthritis, chronic obstructive pulmonary disease, congestive heart failure, and diabetes do not seem predictive of decreased mobility among lower limb prosthesis users. |
format | Online Article Text |
id | pubmed-6259875 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-62598752019-03-06 Mobility Analysis of AmpuTees II: Comorbidities and Mobility in Lower Limb Prosthesis Users Wurdeman, Shane R. Stevens, Phillip M. Campbell, James H. Am J Phys Med Rehabil Original Research Articles OBJECTIVE: The aim of the study was to determine the impact of comorbidities on mobility in patients with lower limb prostheses. DESIGN: Cohort database chart review was conducted to examine mobility in lower limb prosthesis users grouped according to comorbidities. Regression models were used to determine significant predictor comorbidities for mobility. General linear univariate models were implemented to investigate differences in mobility among cohorts (N = 596). RESULTS: Patient age and history of stroke, peripheral vascular disease, and anxiety/panic disorders were predictors of decreased mobility. After adjusting for covariates, the differences in mobility reported by patients older than 65 yrs was compared with those younger than 65 yrs; in addition, we compared those with a history of peripheral vascular disease with those without. The comparative analyses for both categories did not satisfy the minimal clinically important difference. There were no significant differences when comparing overall comorbid health after adjusting for covariates. CONCLUSIONS: Clinicians should consider patient age and history of stroke, peripheral vascular disease, or anxiety/panic disorders when optimizing a lower limb prosthesis users' mobility because these variables may be predictive of modest but clinically meaningful decreased prosthetic mobility. By contrast, common comorbid health conditions such as arthritis, chronic obstructive pulmonary disease, congestive heart failure, and diabetes do not seem predictive of decreased mobility among lower limb prosthesis users. Lippincott Williams & Wilkins 2018-11 2018-05-17 /pmc/articles/PMC6259875/ /pubmed/29781963 http://dx.doi.org/10.1097/PHM.0000000000000967 Text en Copyright © 2018 The Author(s). Published by Wolters Kluwer Health, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Original Research Articles Wurdeman, Shane R. Stevens, Phillip M. Campbell, James H. Mobility Analysis of AmpuTees II: Comorbidities and Mobility in Lower Limb Prosthesis Users |
title | Mobility Analysis of AmpuTees II: Comorbidities and Mobility in Lower Limb Prosthesis Users |
title_full | Mobility Analysis of AmpuTees II: Comorbidities and Mobility in Lower Limb Prosthesis Users |
title_fullStr | Mobility Analysis of AmpuTees II: Comorbidities and Mobility in Lower Limb Prosthesis Users |
title_full_unstemmed | Mobility Analysis of AmpuTees II: Comorbidities and Mobility in Lower Limb Prosthesis Users |
title_short | Mobility Analysis of AmpuTees II: Comorbidities and Mobility in Lower Limb Prosthesis Users |
title_sort | mobility analysis of amputees ii: comorbidities and mobility in lower limb prosthesis users |
topic | Original Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6259875/ https://www.ncbi.nlm.nih.gov/pubmed/29781963 http://dx.doi.org/10.1097/PHM.0000000000000967 |
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