Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/2285
Title: Stepping beyond counts in recovery of total hip arthroplasty: a prospective study on passively collected gait metrics.
Epworth Authors: Fary, Camdon
Other Authors: Cholewa, Jason
Abshagen, Scott
Van Andel, Dave
Ren, Anna
Anderson, Mike
Tripuraneni, Krishna
Keywords: Gait
Gait Quality
Total Hip Arthroplasty
Smartphone
Gait Assessment
E-Rehabilitation
Functional Recovery
Musculoskeletal Clinical Institute, Epworth HealthCare, Victoria, Australia
Issue Date: Jul-2023
Publisher: Basel
Citation: 2023 Jul 20;23(14):6538
Abstract: Gait quality parameters have been used to measure recovery from total hip arthroplasty (THA) but are time-intensive and previously could only be performed in a lab. Smartphone sensor data and algorithmic advances presently allow for the passive collection of qualitative gait metrics. The purpose of this prospective study was to observe the recovery of physical function following THA by assessing passively collected pre- and post-operative gait quality metrics. This was a multicenter, prospective cohort study. From six weeks pre-operative through to a minimum 24 weeks post-operative, 612 patients used a digital care management application that collected gait metrics. Average weekly walking speed, step length, timing asymmetry, and double limb support percentage pre- and post-operative values were compared with a paired-sample t-test. Recovery was defined as the post-operative week when the respective gait metric was no longer statistically inferior to the pre-operative value. To control for multiple comparison error, significance was set at p < 0.002. Walking speeds and step length were lowest, and timing asymmetry and double support percentage were greatest at week two post-post-operative (p < 0.001). Walking speed (1.00 ± 0.14 m/s, p = 0.04), step length (0.58 ± 0.06 m/s, p = 0.02), asymmetry (14.5 ± 19.4%, p = 0.046), and double support percentage (31.6 ± 1.5%, p = 0.0089) recovered at 9, 8, 7, and 10 weeks post-operative, respectively. Walking speed, step length, asymmetry, and double support all recovered beyond pre-operative values at 13, 17, 10, and 18 weeks, respectively (p < 0.002). Functional recovery following THA can be measured via passively collected gait quality metrics using a digital care management platform. The data suggest that metrics of gait quality are most negatively affected two weeks post-operative; recovery to pre-operative levels occurs at approximately 10 weeks following primary THA, and follows a slower trajectory compared to previously reported step count recovery trajectories.
URI: http://hdl.handle.net/11434/2285
DOI: 10.3390/s23146538
PubMed URL: https://pubmed.ncbi.nlm.nih.gov/37514832/
ISSN: 1424-8220
Journal Title: Sensors
Type: Journal Article
Affiliated Organisations: Department of Orthopaedics, Western Hospital, Victoria, Australia
Type of Clinical Study or Trial: Prospective Cohort Study
Appears in Collections:Musculoskeletal

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