Literature DB >> 21887700

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

Pazit Levinger1, Hylton B Menz, Adam D Morrow, Margaret A Perrott, John R Bartlett, Julian A Feller, Neil B Bergman.   

Abstract

An abnormal flexor moment pattern is often evident following total knee replacement (TKR) surgery. We investigated whether such a pattern at 12 months post-surgery could be predicted using biomechanical gait measures assessed before surgery and at 4 months post-surgery. Thirty two TKR patients were evaluated and classified as normal (biphasic pattern) or abnormal (flexor moment pattern) at each time point. Biomechanical parameters collected before surgery and at 4 months post-surgery were then explored for their ability to predict gait patterns at 12 months post-surgery. The gait pattern at 4 months was significantly associated with the 12 month post-surgery gait pattern, with over half of those with a flexor moment pattern at 4 months retaining this pattern at 12 months. Discriminant function analysis indicated that peak knee flexion during early stance, peak knee extension, and peak knee extension moment at 4 months post-surgery were independent predictors of the gait pattern at 12 months. Thus, an abnormal knee flexor moment pattern at 12 months post-surgery can be predicted by biomechanical analysis 4 months after surgery. Therefore, interventions aimed at improving active extension may need to be implemented early after surgery to restore a normal gait pattern.
Copyright © 2011 Orthopaedic Research Society.

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Year:  2011        PMID: 21887700     DOI: 10.1002/jor.21545

Source DB:  PubMed          Journal:  J Orthop Res        ISSN: 0736-0266            Impact factor:   3.494


  12 in total

1.  Importance of knee flexion range of motion during the acute phase after total knee arthroplasty.

Authors:  Tomohiro Oka; Osamu Wada; Tsuyoshi Asai; Hideto Maruno; Kiyonori Mizuno
Journal:  Phys Ther Res       Date:  2020-08-05

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

Authors:  Hao-Hua Zhang; Song-Hua Yan; Chen Fang; Xin-Yuan Guo; Kuan Zhang
Journal:  Orthop Surg       Date:  2016-08       Impact factor: 2.071

3.  Preoperative asymmetry in load distribution during quiet stance persists following total knee arthroplasty.

Authors:  Dominic Thewlis; Susan Hillier; Sarah Jane Hobbs; Jim Richards
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2013-07-24       Impact factor: 4.342

Review 4.  The role of commercially available smartphone apps and wearable devices in monitoring patients after total knee arthroplasty: a systematic review.

Authors:  David Constantinescu; William Pavlis; Michael Rizzo; Dennis Vanden Berge; Spencer Barnhill; Victor Hugo Hernandez
Journal:  EFORT Open Rev       Date:  2022-07-05

5.  Movement pattern biofeedback training after total knee arthroplasty: Randomized clinical trial protocol.

Authors:  Michael J Bade; Jesse C Christensen; Joseph A Zeni; Cory L Christiansen; Michael R Dayton; Jeri E Forster; Victor A Cheuy; Jennifer E Stevens-Lapsley
Journal:  Contemp Clin Trials       Date:  2020-03-12       Impact factor: 2.226

6.  Abnormal axial rotations in TKA contribute to reduced weightbearing flexion.

Authors:  Bradley Meccia; Richard D Komistek; Mohamed Mahfouz; Douglas Dennis
Journal:  Clin Orthop Relat Res       Date:  2014-01       Impact factor: 4.176

7.  New approach for the rehabilitation of patients following total knee arthroplasty.

Authors:  Avi Elbaz; Eytan M Debbi; Ganit Segal; Amit Mor; Yaron Bar-Ziv; Steven Velkes; Vadim Benkovich; Nadav Shasha; Ronit Shoham-Blonder; Ronen Debi
Journal:  J Orthop       Date:  2014-05-13

8.  Predicting the location of the hip joint centres, impact of age group and sex.

Authors:  Reiko Hara; Jennifer McGinley; Chris Briggs; Richard Baker; Morgan Sangeux
Journal:  Sci Rep       Date:  2016-11-24       Impact factor: 4.379

9.  Gait changes after using a temporomandibular joint exerciser in patients who underwent lower limb joint surgery.

Authors:  Gu-Young Chung; Geun-Seok Choi; Ki-Young Shin; Joon-Soo Park
Journal:  J Phys Ther Sci       Date:  2016-05-31

10.  Deep Learning in Gait Parameter Prediction for OA and TKA Patients Wearing IMU Sensors.

Authors:  Mohsen Sharifi Renani; Casey A Myers; Rohola Zandie; Mohammad H Mahoor; Bradley S Davidson; Chadd W Clary
Journal:  Sensors (Basel)       Date:  2020-09-28       Impact factor: 3.576

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