Literature DB >> 27627720

Clinical Evaluation and Gait Characteristics before and after Total Knee Arthroplasty Based on a Portable Gait Analyzer.

Hao-Hua Zhang1, Song-Hua Yan2,3, Chen Fang2, Xin-Yuan Guo2, Kuan Zhang4,5.   

Abstract

OBJECTIVE: To evaluate the effects of surgery and rehabilitation on patients undergoing total knee arthroplasty (TKA).
METHODS: Twelve patients and 12 healthy controls were enrolled and their clinical scores evaluated by a doctor. Gait data, including walking velocity, stride length, single support time, foot fall and swing power, were collected using a portable gait analyzer from 12 patients before and 6 weeks and 6 months after surgery and from 12 healthy controls. The gait data and clinical scores at selected time points were compared and correlations between gait characteristics and clinical scores assessed.
RESULTS: Clinical knee and knee function scores increased significantly from before surgery to 6 weeks to 6 months after surgery (P < 0.001). The only significant differences identified were for single support time on the diseased side between before surgery and 6 months after surgery (P = 0.031) and for foot fall with the diseased side between 6 weeks and 6 months after surgery (P = 0.016). Foot fall and speed of the healthy or diseased sides were significantly different in patients at all time points from those of the healthy subjects (P < 0.05). Single support time on the diseased side was significantly different 6 months after surgery (P = 0.035) in patients than in healthy controls. Single support time on the healthy side before surgery was significantly different from that of healthy controls (P = 0.048) and 6 weeks after surgery (P = 0.042). Stride lengths differed significantly between patients and healthy subjects before surgery (healthy side: P = 0.007; diseased side: P = 0.008) and 6 weeks after surgery (healthy side: P = 0.001; diseased side: P = 0.001), but were not different at 6 months after surgery (healthy side: P = 0.088; diseased side: P = 0.077). The only significant correlations identified were between single support time with the diseased side of patients and their knee (r = 0.43, P = 0.032) and knee function scores (r = 0.493, P = 0.012).
CONCLUSIONS: A portable gait analyzer appears to be suitable for evaluating the effects of TKA. Single support time on the diseased side may be a sensitive quantitative index for determining the effect of TKA and rehabilitation.
© 2016 Chinese Orthopaedic Association and John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  Clinical scores; Gait; Rehabilitation; Total knee arthroplasty

Mesh:

Year:  2016        PMID: 27627720      PMCID: PMC6584463          DOI: 10.1111/os.12270

Source DB:  PubMed          Journal:  Orthop Surg        ISSN: 1757-7853            Impact factor:   2.071


  12 in total

1.  Scoring systems in total knee arthroplasty.

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2.  Dynamic foot function changes following total knee replacement surgery.

Authors:  Pazit Levinger; Hylton B Menz; Adam D Morrow; John R Bartlett; Julian A Feller; Mohammad R Fotoohabadi; Neil R Bergman
Journal:  Knee       Date:  2012-06-05       Impact factor: 2.199

3.  The importance to including objective functional outcomes in the clinical follow up of total knee arthroplasty patients.

Authors:  Rachel Senden; Bernd Grimm; Kenneth Meijer; Hans Savelberg; Ide C Heyligers
Journal:  Knee       Date:  2010-09-03       Impact factor: 2.199

4.  Knee biomechanics early after knee replacement surgery predict abnormal gait patterns 12 months postoperatively.

Authors:  Pazit Levinger; Hylton B Menz; Adam D Morrow; Margaret A Perrott; John R Bartlett; Julian A Feller; Neil B Bergman
Journal:  J Orthop Res       Date:  2011-09-01       Impact factor: 3.494

5.  Quantifying self-report measures' overestimation of mobility scores postarthroplasty.

Authors:  Paul W Stratford; Deborah M Kennedy; Monica R Maly; Norma J Macintyre
Journal:  Phys Ther       Date:  2010-06-30

6.  An evaluation of accuracy and repeatability of a novel gait analysis device.

Authors:  Michael J Gardner; Joseph U Barker; Stephen M Briggs; Sherry I Backus; David L Helfet; Joseph M Lane; Dean G Lorich
Journal:  Arch Orthop Trauma Surg       Date:  2006-12-30       Impact factor: 3.067

7.  Detection of gait and postures using a miniaturized triaxial accelerometer-based system: accuracy in patients with mild to moderate Parkinson's disease.

Authors:  Baukje Dijkstra; Ype P Kamsma; Wiebren Zijlstra
Journal:  Arch Phys Med Rehabil       Date:  2010-08       Impact factor: 3.966

8.  Comparison of self-reported knee injury and osteoarthritis outcome score to performance measures in patients after total knee arthroplasty.

Authors:  Jennifer E Stevens-Lapsley; Margaret L Schenkman; Michael R Dayton
Journal:  PM R       Date:  2011-06       Impact factor: 2.298

9.  Measuring functional improvement after total knee arthroplasty requires both performance-based and patient-report assessments: a longitudinal analysis of outcomes.

Authors:  Ryan L Mizner; Stephanie C Petterson; Katie E Clements; Joseph A Zeni; James J Irrgang; Lynn Snyder-Mackler
Journal:  J Arthroplasty       Date:  2010-09-20       Impact factor: 4.757

10.  Reliability and validity of bilateral thigh and foot accelerometry measures of walking in healthy and hemiparetic subjects.

Authors:  Kaveh Saremi; Jon Marehbian; Xiaohong Yan; Jean-Philippe Regnaux; Robert Elashoff; Bernard Bussel; Bruce H Dobkin
Journal:  Neurorehabil Neural Repair       Date:  2006-06       Impact factor: 3.919

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  4 in total

Review 1.  Gait metrics analysis utilizing single-point inertial measurement units: a systematic review.

Authors:  Ralph Jasper Mobbs; Jordan Perring; Suresh Mahendra Raj; Monish Maharaj; Nicole Kah Mun Yoong; Luke Wicent Sy; Rannulu Dineth Fonseka; Pragadesh Natarajan; Wen Jie Choy
Journal:  Mhealth       Date:  2022-01-20

2.  Wearable Sensor Data to Track Subject-Specific Movement Patterns Related to Clinical Outcomes Using a Machine Learning Approach.

Authors:  Dylan Kobsar; Reed Ferber
Journal:  Sensors (Basel)       Date:  2018-08-27       Impact factor: 3.576

Review 3.  Wearable Inertial Sensors for Gait Analysis in Adults with Osteoarthritis-A Scoping Review.

Authors:  Dylan Kobsar; Zaryan Masood; Heba Khan; Noha Khalil; Marium Yossri Kiwan; Sarah Ridd; Matthew Tobis
Journal:  Sensors (Basel)       Date:  2020-12-13       Impact factor: 3.576

4.  Current clinical utilisation of wearable motion sensors for the assessment of outcome following knee arthroplasty: a scoping review.

Authors:  Scott R Small; Garrett S Bullock; Sara Khalid; Karen Barker; Marialena Trivella; Andrew James Price
Journal:  BMJ Open       Date:  2019-12-29       Impact factor: 2.692

  4 in total

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