Gait retraining after anterior cruciate ligament reconstruction 1,

Presented in part at the International Society of Biomechanics’ 18th Annual Meeting, 2001, Zurich, Switzerland.
https://doi.org/10.1016/j.apmr.2003.07.014Get rights and content

Abstract

Decker MJ, Torry MR, Noonan TJ, Sterett WI, Steadman JR. Gait retraining after anterior cruciate ligament reconstruction. Arch Phys Med Rehabil 2004;85:848-56.

Objectives

To examine the effects of 2 gait retraining protocols on the gait patterns of patients with bone-patellar tendon-bone anterior cruciate ligament (ACL) reconstruction.

Design

Randomized control, repeated-measures design.

Setting

Private orthopedic center and research facility.

Participants

Sixteen patients with bone-patellar tendon-bone ACL reconstruction, randomly subdivided into 2 groups (group 1, n=8; group 2, n=8), and a healthy control group of 8 subjects.

Intervention

The 16 subjects with ACL reconstruction were randomly assigned to 2 different gait retraining protocols over a 6-week training interval: (1) a protocol using a predicted stride frequency calculated from the resonant frequency of a force-driven harmonic oscillator (FDHO) model or (2) a protocol using the preferred stride frequency (PSF).

Main outcome measures

Gait analyses examining the lower-extremity kinematic, kinetic, and energetic gait patterns of each group.

Results

Gait retraining with the FDHO model showed improvements in lower-extremity positions, hip and knee extensor angular impulse, and work parameters. Gait retraining with the PSF demonstrated no statistical improvements. The FDHO training protocol facilitated a greater midstance knee range of motion (ROM) and greater rates of improvement for midstance ROM, hip extensor angular impulse, and concentric hip extensor work.

Conclusions

Gait retraining with the resonant frequency of an FDHO model facilitated a greater recovery of gait function compared with training with the PSF.

Section snippets

Participants

A total of 16 patients (mean age, 27.8±7.4y; weight, 75.5±12.5kg; height, 1.8±0.1m) who had arthroscopically assisted bone-patellar tendon-bone ACL reconstruction and 8 healthy (age, 28.3±4.3y; weight, 71.5±11.1kg; height, 1.7±0.1m) control subjects participated in this study. All subjects with ACL injuries had reconstruction by the same orthopedic surgeon, participated in an accelerated rehabilitation strength and ROM protocol,27 and were restricted from recreational and sporting activities

Group characteristics and protocol adherence

The time from injury to surgery was similar between the 2 ACL reconstruction groups (FDHO group, 120.1±104.5d; range, 5–348d; PSF group, 120.3±107.3d; range, 11–380d). Physical examination revealed all subjects to possess full passive knee extension at both test periods and that body mass did not fluctuate by more than 1kg. Review of the exercise logs demonstrated that all patients complied with the walking program, and that the training load over the 6-week protocol was equal between the 2

Discussion

Numerous studies have found that subjects with ACL reconstruction use neuromuscular adaptations during gait1, 3, 8, 9, 33, 37, 38 and functional activities.1, 10, 11, 35, 39 From these studies, it appears that the hip extensor moments and powers progressively increase during the first 6 months after surgery, whereas the knee extensor moments and powers progressively decrease. In our study, both ACL reconstruction groups showed these classical gait adaptations 6 weeks after surgery. Over the

Conclusions

Gait retraining with the FDHO model showed improvements in lower-extremity positions, hip and knee extensor angular impulse, and work parameters, whereas gait retraining with the PSF showed no statistical improvements. The FDHO mode of training was superior to the PSF protocol in promoting midstance knee ROM and facilitating normal hip extensor function. These gait performance improvements were proposed to stem from an audio signal that accessed locomotor programs and promoted a greater

Acknowledgements

We acknowledge Chris Rich and Mike Kain for their contributions to the data reduction process. We also thank Kevin Shelburne, PhD, for his critical review and contributions to the final manuscript.

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    Supported in part by the NFL Charities and the Steadman-Hawkins Sports Medicine Foundation.

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