ERJ Open Research (Sep 2023)
Laboratory and free-living gait performance in adults with COPD and healthy controls
- Joren Buekers,
- Dimitrios Megaritis,
- Sarah Koch,
- Lisa Alcock,
- Nadir Ammour,
- Clemens Becker,
- Stefano Bertuletti,
- Tecla Bonci,
- Philip Brown,
- Ellen Buckley,
- Sara C. Buttery,
- Brian Caulfied,
- Andrea Cereatti,
- Nikolaos Chynkiamis,
- Heleen Demeyer,
- Carlos Echevarria,
- Anja Frei,
- Clint Hansen,
- Jeffrey M. Hausdorff,
- Nicholas S. Hopkinson,
- Emily Hume,
- Arne Kuederle,
- Walter Maetzler,
- Claudia Mazzà,
- Encarna M. Micó-Amigo,
- Arne Mueller,
- Luca Palmerini,
- Francesca Salis,
- Kirsty Scott,
- Thierry Troosters,
- Beatrix Vereijken,
- Henrik Watz,
- Lynn Rochester,
- Silvia Del Din,
- Ioannis Vogiatzis,
- Judith Garcia-Aymerich
Affiliations
- Joren Buekers
- ISGlobal, Barcelona, Spain
- Dimitrios Megaritis
- Department of Sport, Exercise and Rehabilitation, Northumbria University Newcastle, Newcastle upon Tyne, UK
- Sarah Koch
- ISGlobal, Barcelona, Spain
- Lisa Alcock
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- Nadir Ammour
- Clinical Science and Operations, GlobalDevelopment, Sanofi R&D, Chilly-Mazarin, France
- Clemens Becker
- Robert Bosch Gesellschaft für Medizinische Forschung, Stuttgart, Germany
- Stefano Bertuletti
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
- Tecla Bonci
- Department of Mechanical Engineering and INSIGNEO Institute for In Silico Medicine, The University of Sheffield, Sheffield, UK
- Philip Brown
- The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
- Ellen Buckley
- Department of Mechanical Engineering and INSIGNEO Institute for In Silico Medicine, The University of Sheffield, Sheffield, UK
- Sara C. Buttery
- National Lung and Heart Institute, Imperial College, London, UK
- Brian Caulfied
- Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland
- Andrea Cereatti
- Polytechnic University of Torino, Department of Electronics and Telecommunications, Turin, Italy
- Nikolaos Chynkiamis
- Department of Sport, Exercise and Rehabilitation, Northumbria University Newcastle, Newcastle upon Tyne, UK
- Heleen Demeyer
- KU Leuven, Department of Rehabilitation Sciences and Pulmonary Rehabilitation, Respiratory Division, University Hospital Gasthuisberg, Leuven, Belgium
- Carlos Echevarria
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- Anja Frei
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
- Clint Hansen
- Department of Neurology, University Hospital Schleswig-Holstein and Kiel University, Kiel, Germany
- Jeffrey M. Hausdorff
- Center for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
- Nicholas S. Hopkinson
- National Lung and Heart Institute, Imperial College, London, UK
- Emily Hume
- Department of Sport, Exercise and Rehabilitation, Northumbria University Newcastle, Newcastle upon Tyne, UK
- Arne Kuederle
- Machine Learning and Data Analytics Lab, Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- Walter Maetzler
- Department of Neurology, University Hospital Schleswig-Holstein and Kiel University, Kiel, Germany
- Claudia Mazzà
- Department of Mechanical Engineering and INSIGNEO Institute for In Silico Medicine, The University of Sheffield, Sheffield, UK
- Encarna M. Micó-Amigo
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- Arne Mueller
- Novartis Institutes for Biomedical Research, Basel, Switzerland
- Luca Palmerini
- Department of Electrical, Electronic and Information Engineering “Guglielmo Marconi”, University of Bologna, Bologna, Italy
- Francesca Salis
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
- Kirsty Scott
- Department of Mechanical Engineering and INSIGNEO Institute for In Silico Medicine, The University of Sheffield, Sheffield, UK
- Thierry Troosters
- KU Leuven, Department of Rehabilitation Sciences and Pulmonary Rehabilitation, Respiratory Division, University Hospital Gasthuisberg, Leuven, Belgium
- Beatrix Vereijken
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
- Henrik Watz
- Pulmonary Research Institute at LungenClinic Grosshansdorf, Airway Research Center North, German Center for Lung Research (DZL), Grosshansdorf, Germany
- Lynn Rochester
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- Silvia Del Din
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- Ioannis Vogiatzis
- Department of Sport, Exercise and Rehabilitation, Northumbria University Newcastle, Newcastle upon Tyne, UK
- Judith Garcia-Aymerich
- ISGlobal, Barcelona, Spain
- DOI
- https://doi.org/10.1183/23120541.00159-2023
- Journal volume & issue
-
Vol. 9,
no. 5
Abstract
Background Gait characteristics are important risk factors for falls, hospitalisations and mortality in older adults, but the impact of COPD on gait performance remains unclear. We aimed to identify differences in gait characteristics between adults with COPD and healthy age-matched controls during 1) laboratory tests that included complex movements and obstacles, 2) simulated daily-life activities (supervised) and 3) free-living daily-life activities (unsupervised). Methods This case–control study used a multi-sensor wearable system (INDIP) to obtain seven gait characteristics for each walking bout performed by adults with mild-to-severe COPD (n=17; forced expiratory volume in 1 s 57±19% predicted) and controls (n=20) during laboratory tests, and during simulated and free-living daily-life activities. Gait characteristics were compared between adults with COPD and healthy controls for all walking bouts combined, and for shorter (≤30 s) and longer (>30 s) walking bouts separately. Results Slower walking speed (−11 cm·s−1, 95% CI: −20 to −3) and lower cadence (−6.6 steps·min−1, 95% CI: −12.3 to −0.9) were recorded in adults with COPD compared to healthy controls during longer (>30 s) free-living walking bouts, but not during shorter (≤30 s) walking bouts in either laboratory or free-living settings. Double support duration and gait variability measures were generally comparable between the two groups. Conclusion Gait impairment of adults with mild-to-severe COPD mainly manifests during relatively long walking bouts (>30 s) in free-living conditions. Future research should determine the underlying mechanism(s) of this impairment to facilitate the development of interventions that can improve free-living gait performance in adults with COPD.