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      International Journal of COPD (submit here)

      This international, peer-reviewed Open Access journal by Dove Medical Press focuses on pathophysiological processes underlying Chronic Obstructive Pulmonary Disease (COPD) interventions, patient focused education, and self-management protocols. Sign up for email alerts here.

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      Updated Perspectives on the Role of Biomechanics in COPD: Considerations for the Clinician

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          Abstract

          Patients with chronic obstructive pulmonary disease (COPD) demonstrate extra-pulmonary functional decline such as an increased prevalence of falls. Biomechanics offers insight into functional decline by examining mechanics of abnormal movement patterns. This review discusses biomechanics of functional outcomes, muscle mechanics, and breathing mechanics in patients with COPD as well as future directions and clinical perspectives. Patients with COPD demonstrate changes in their postural sway during quiet standing compared to controls, and these deficits are exacerbated when sensory information (eg, eyes closed) is manipulated. If standing balance is disrupted with a perturbation, patients with COPD are slower to return to baseline and their muscle activity is differential from controls. When walking, patients with COPD appear to adopt a gait pattern that may increase stability (eg, shorter and wider steps, decreased gait speed) in addition to altered gait variability. Biomechanical muscle mechanics (ie, tension, extensibility, elasticity, and irritability) alterations with COPD are not well documented, with relatively few articles investigating these properties. On the other hand, dyssynchronous motion of the abdomen and rib cage while breathing is well documented in patients with COPD. Newer biomechanical technologies have allowed for estimation of regional, compartmental, lung volumes during activity such as exercise, as well as respiratory muscle activation during breathing. Future directions of biomechanical analyses in COPD are trending toward wearable sensors, big data, and cloud computing. Each of these offers unique opportunities as well as challenges. Advanced analytics of sensor data can offer insight into the health of a system by quantifying complexity or fluctuations in patterns of movement, as healthy systems demonstrate flexibility and are thus adaptable to changing conditions. Biomechanics may offer clinical utility in prediction of 30-day readmissions, identifying disease severity, and patient monitoring. Biomechanics is complementary to other assessments, capturing what patients do, as well as their capability.

          Most cited references189

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            Epidermal electronics.

            We report classes of electronic systems that achieve thicknesses, effective elastic moduli, bending stiffnesses, and areal mass densities matched to the epidermis. Unlike traditional wafer-based technologies, laminating such devices onto the skin leads to conformal contact and adequate adhesion based on van der Waals interactions alone, in a manner that is mechanically invisible to the user. We describe systems incorporating electrophysiological, temperature, and strain sensors, as well as transistors, light-emitting diodes, photodetectors, radio frequency inductors, capacitors, oscillators, and rectifying diodes. Solar cells and wireless coils provide options for power supply. We used this type of technology to measure electrical activity produced by the heart, brain, and skeletal muscles and show that the resulting data contain sufficient information for an unusual type of computer game controller.
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              Gait speed and survival in older adults.

              Survival estimates help individualize goals of care for geriatric patients, but life tables fail to account for the great variability in survival. Physical performance measures, such as gait speed, might help account for variability, allowing clinicians to make more individualized estimates. To evaluate the relationship between gait speed and survival. Pooled analysis of 9 cohort studies (collected between 1986 and 2000), using individual data from 34,485 community-dwelling older adults aged 65 years or older with baseline gait speed data, followed up for 6 to 21 years. Participants were a mean (SD) age of 73.5 (5.9) years; 59.6%, women; and 79.8%, white; and had a mean (SD) gait speed of 0.92 (0.27) m/s. Survival rates and life expectancy. There were 17,528 deaths; the overall 5-year survival rate was 84.8% (confidence interval [CI], 79.6%-88.8%) and 10-year survival rate was 59.7% (95% CI, 46.5%-70.6%). Gait speed was associated with survival in all studies (pooled hazard ratio per 0.1 m/s, 0.88; 95% CI, 0.87-0.90; P < .001). Survival increased across the full range of gait speeds, with significant increments per 0.1 m/s. At age 75, predicted 10-year survival across the range of gait speeds ranged from 19% to 87% in men and from 35% to 91% in women. Predicted survival based on age, sex, and gait speed was as accurate as predicted based on age, sex, use of mobility aids, and self-reported function or as age, sex, chronic conditions, smoking history, blood pressure, body mass index, and hospitalization. In this pooled analysis of individual data from 9 selected cohorts, gait speed was associated with survival in older adults.
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                Author and article information

                Journal
                Int J Chron Obstruct Pulmon Dis
                Int J Chron Obstruct Pulmon Dis
                copd
                International Journal of Chronic Obstructive Pulmonary Disease
                Dove
                1176-9106
                1178-2005
                17 October 2022
                2022
                : 17
                : 2653-2675
                Affiliations
                [1 ]Department of Kinesiology & Sport Management, Texas A&M University , College Station, TX, USA
                [2 ]Department of Orthopaedic Surgery & Trauma, Máxima MC , Eindhoven, the Netherlands
                [3 ]Department of Orthopaedic Surgery & Trauma, Catharina Hospital , Eindhoven, the Netherlands
                [4 ]Department of Electrical & Computer Engineering, University of Nebraska at Lincoln , Lincoln, NE, USA
                [5 ]Department of Mechanical & Materials Engineering, University of Nebraska at Lincoln , Lincoln, NE, USA
                [6 ]Department of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of Nebraska Medical Center , Omaha, NE, USA
                Author notes
                Correspondence: Jennifer M Yentes, Texas A&M University, Department of Kinesiology and Sport Management , 4243 TAMU, Gilchrist 322, College Station, TX, 77843, USA, Tel +1 979-862-5396, Email jyentes@gmail.com
                Author information
                http://orcid.org/0000-0001-6550-7759
                http://orcid.org/0000-0003-1379-958X
                Article
                339195
                10.2147/COPD.S339195
                9585958
                36274993
                e3e49a05-04e7-4d9f-8a6f-bc0b935c7921
                © 2022 Yentes et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                : 10 May 2022
                : 24 September 2022
                Page count
                Figures: 2, Tables: 6, References: 190, Pages: 23
                Categories
                Review

                Respiratory medicine
                kinematics,kinetics,postural control,mechanomyography,balance,wearables
                Respiratory medicine
                kinematics, kinetics, postural control, mechanomyography, balance, wearables

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