Which Balance Subcomponents Distinguish Between Fallers and Non-Fallers in People with COPD?
Received 12 March 2020
Accepted for publication 12 June 2020
Published 1 July 2020 Volume 2020:15 Pages 1557—1564
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Dr Richard Russell
Stephanie Chauvin,1 Renata Kirkwood,1 Dina Brooks,1,2 Roger S Goldstein,2– 4 Marla K Beauchamp1,2,5
1School of Rehabilitation Science, McMaster University, Hamilton, Ontario, Canada; 2Department of Respiratory Medicine, West Park Healthcare Centre, Toronto, Ontario, Canada; 3Department of Physical Therapy, University of Toronto, Toronto, Ontario, Canada; 4Department of Medicine, University of Toronto, Toronto, Ontario, Canada; 5Firestone Institute for Respiratory Health, St. Joseph’s Healthcare, Hamilton, Ontario, Canada
Correspondence: Marla K Beauchamp
McMaster University, 1400 Main Street West, Hamilton, ON L8S 1C7, IAHS 430 Canada
Tel +1 905 525-9140 x 21732
Rationale: Chronic obstructive pulmonary disease (COPD) is an increasingly prevalent lung disease linked to dysfunctional balance and an increased risk of falls. The Balance Evaluation Systems Test (BESTest) evaluates the six underlying subcomponents of functional balance. The aim of this study was to determine the specific balance subcomponents and cut-off scores that discriminate between fallers and non-fallers with COPD to guide fall risk assessment and prevention.
Methods: A secondary analysis of cross-sectional data from two prior studies in COPD was performed. Independent samples t-tests were used to explore the differences in the BESTest sub-system scores between fallers and non-fallers. Receiver operating characteristic curves were used to determine the optimal subcomponent cut-off scores that identified fallers, and the area under the curve (AUC) was used to assess test accuracy.
Results: Data from 72 subjects with COPD (mean age, 70.3 ± 7.4y; mean forced expiratory volume in 1 second, 38.9 ± 15.8% predicted) were analyzed. Two BESTest subcomponents, stability limits/verticality (fallers: 75.4%, non-fallers: 83.8%; p=0.002) and postural responses (fallers: 67.5%, non-fallers: 79.7%; p=0.008) distinguished between fallers and non-fallers. Stability limits/verticality had an AUC of 0.70 and optimal cut-off score of 73.8% for identifying fallers; postural responses had an AUC of 0.67 and optimal cut-off score of 69.4%.
Conclusion: The stability limits/verticality and postural responses subcomponents of the BESTest distinguished between fallers and non-fallers with COPD. The stability limits/verticality subcomponent can also be used to identify whether an individual with COPD is at risk of falling using a cut-off score of 73.8%. These findings suggest that specific subcomponents of balance could be targeted to optimize fall risk assessment and prevention in COPD.
Keywords: BESTest, chronic obstructive pulmonary disease, balance, falls, rehabilitation
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