Measurement of physical activity in the pre- and early post-operative period after total knee arthroplasty for Osteoarthritis using a Fitbit Flex device
•Pre- and early post-operative daily step count measured with Fitbit Flex devices for patients with OA undergoing TKA.•Pre-operative step count, SF-12 PCS score and BMI were strong correlators with post- operative stepcount.•Semi-individualised benchmarks based on correlating scores and grouping are...
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Published in | Medical engineering & physics Vol. 51; pp. 31 - 40 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier Ltd
01.01.2018
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Subjects | |
Online Access | Get full text |
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Summary: | •Pre- and early post-operative daily step count measured with Fitbit Flex devices for patients with OA undergoing TKA.•Pre-operative step count, SF-12 PCS score and BMI were strong correlators with post- operative stepcount.•Semi-individualised benchmarks based on correlating scores and grouping are presented.•A stepwise multivariate regression model is used to develop a patient specific 6 week step count target.
Total knee arthroplasty (TKA) is a standard treatment for patients with end stage knee Osteoarthritis (OA) to reduce pain and restore function. The aim of this study was to assess pre- and early post-operative physical activity (PA) with Fitbit Flex devices for patients with OA undergoing TKA and determine any benchmarks for expected post-operative activity. Significant correlations of pre-operative step count, post-operative step count, Body Mass Index (BMI) and Short Form 12 Physical Component Summaries (SF-12 PCS) were found. Mean step counts varied by 3,203 steps per day between obese and healthy weight patients, and 3,786 steps per day between those with higher and lower SF-12 PCS scores, suggesting the need for benchmarks for recovery that vary by patient pre-operative factors. A backwards stepwise regression model developed to provide patient specific step count predictions at 6 weeks had an R2 of 0.754, providing a robust patient specific benchmark for post-operative recovery, while population means from BMI and SF-12 subgroups provide a clinically practical alternative. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1350-4533 1873-4030 |
DOI: | 10.1016/j.medengphy.2017.10.007 |