Literature DB >> 35248803

Muscle forces and power are significantly reduced during walking in patients with peripheral artery disease.

Hafizur Rahman1, Cody P Anderson2, Iraklis I Pipinos3, Jason M Johanning3, George P Casale4, Jianghu Dong5, Holly DeSpiegelaere6, Mahdi Hassan7, Sara A Myers7.   

Abstract

Patients with peripheral artery disease (PAD) have significantly reduced lower extremity muscle strength compared with healthy individuals as measured during isolated, single plane joint motion by isometric and isokinetic strength dynamometers. Alterations to the force contribution of muscles during walking caused by PAD are not well understood. Therefore, this study used simulations with PAD biomechanics data to understand lower extremity muscle functions in patients with PAD during walking and to compare that with healthy older individuals. A total of 12 patients with PAD and 10 age-matched healthy older controls walked across a 10-meter pathway with reflective markers on their lower limbs. Marker coordinates and ground reaction forces were recorded and exported to OpenSim software to perform gait simulations. Walking velocity, joint angles, muscle force, muscle power, and metabolic rate were calculated and compared between patients with PAD and healthy older controls. Our results suggest that patients with PAD walked slower with less hip extension during propulsion. Significant force and power reductions were observed in knee extensors during weight acceptance and in plantar flexors and hip flexors during propulsion in patients with PAD. The estimated metabolic rate of walking during stance was not different between patients with PAD and controls. This study is the first to analyze lower limb muscular responses during walking in patients with PAD using the OpenSim simulation software. The simulation results of this study identified important information about alterations to muscle force and power during walking in those with PAD.
Copyright © 2022 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Gait biomechanics; Muscle force; Muscle power; Musculoskeletal modeling and simulation; Peripheral artery disease

Mesh:

Year:  2022        PMID: 35248803      PMCID: PMC9064980          DOI: 10.1016/j.jbiomech.2022.111024

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.789


  38 in total

1.  Comparison of different methods for estimating muscle forces in human movement.

Authors:  Yi-Chung Lin; Tim W Dorn; Anthony G Schache; Marcus G Pandy
Journal:  Proc Inst Mech Eng H       Date:  2012-02       Impact factor: 1.617

2.  Lower extremity strength deficits in peripheral arterial occlusive disease patients with intermittent claudication.

Authors:  H R Scott-Okafor; K K Silver; J Parker; T Almy-Albert; A W Gardner
Journal:  Angiology       Date:  2001-01       Impact factor: 3.619

3.  Gait variability of patients with intermittent claudication is similar before and after the onset of claudication pain.

Authors:  Sara A Myers; Iraklis I Pipinos; Jason M Johanning; Nicholas Stergiou
Journal:  Clin Biomech (Bristol, Avon)       Date:  2011-03-29       Impact factor: 2.063

4.  Muscle strength and control characteristics are altered by peripheral artery disease.

Authors:  Molly N Schieber; Ryan M Hasenkamp; Iraklis I Pipinos; Jason M Johanning; Nicholas Stergiou; Holly K DeSpiegelaere; Jung H Chien; Sara A Myers
Journal:  J Vasc Surg       Date:  2017-07       Impact factor: 4.268

Review 5.  Functional impairment in peripheral artery disease and how to improve it in 2013.

Authors:  Mary McGrae McDermott
Journal:  Curr Cardiol Rep       Date:  2013-04       Impact factor: 2.931

6.  A model of human muscle energy expenditure.

Authors:  Brian R Umberger; Karin G M Gerritsen; Philip E Martin
Journal:  Comput Methods Biomech Biomed Engin       Date:  2003-04       Impact factor: 1.763

7.  Redirection of center-of-mass velocity during the step-to-step transition of human walking.

Authors:  Peter G Adamczyk; Arthur D Kuo
Journal:  J Exp Biol       Date:  2009-08       Impact factor: 3.312

8.  Claudicating patients with peripheral artery disease have meaningful improvement in walking speed after supervised exercise therapy.

Authors:  Hafizur Rahman; Iraklis I Pipinos; Jason M Johanning; George Casale; Mark A Williams; Jonathan R Thompson; Yohanis O'Neill-Castro; Sara A Myers
Journal:  J Vasc Surg       Date:  2021-05-31       Impact factor: 4.268

9.  Changes in Gait Variables in Patients with Intermittent Claudication.

Authors:  Bogdan Pietraszewski; Marek Woźniewski; Ryszard Jasiński; Artur Struzik; Andrzej Szuba
Journal:  Biomed Res Int       Date:  2019-05-27       Impact factor: 3.411

10.  Gait Mechanics Differences Between Healthy Controls and Patients With Peripheral Artery Disease After Adjusting for Gait Velocity Stride Length and Step Width.

Authors:  John D McCamley; Eric L Cutler; Kendra K Schmid; Shane R Wurdeman; Jason M Johanning; Iraklis I Pipinos; Sara A Myers
Journal:  J Appl Biomech       Date:  2018-07-10       Impact factor: 1.833

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  1 in total

1.  Peripheral artery disease affects the function of the legs of claudicating patients in a diffuse manner irrespective of the segment of the arterial tree primarily involved.

Authors:  Todd J Leutzinger; Panagiotis Koutakis; Matthew A Fuglestad; Hafizur Rahman; Holly Despiegelaere; Mahdi Hassan; Molly Schieber; Jason M Johanning; Nick Stergiou; G Matthew Longo; George P Casale; Sara A Myers; Iraklis I Pipinos
Journal:  PLoS One       Date:  2022-07-13       Impact factor: 3.752

  1 in total

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