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It is unclear why 20% of patients with total knee replacements (TKR) are dissatisfied. Few studies have specifically assessed the way people walk ('gait') with an 'unhappy' or unstable knee or following re-do ('revision') TKR surgery.
The investigators conjecture that people having re-do TKR surgery because their knee is unstable will have altered walking patterns (for example, less bending of the knee) before and after surgery, and that these changes are related to how satisfied the patient is with their knee. The investigators will also examine whether there are differences in the way people walk with an unstable knee replacement or with a stable knee replacement, in comparison to people who do not have a knee replacement.
This exploratory project will use 3D infrared cameras to analyse differences in walking patterns and whether there is associated change in patient satisfaction. If an association exists, the data from this study may help to develop alternative measures of outcomes, in order to guide treatment decisions.
Full description
The effect of TKR instability on gait is poorly understood. How does revision TKR surgery for instability alter gait and is there an associated change in patient satisfaction? Are there differences in gait between patients with an unstable TKR and a stable TKR? The objectives of this study are:
The first part of the investigation will tackle the first two objectives and follow patients who are having a revision TKR due to an unstable knee before and after their operation. The second part will then compare these patients to those with a primary TKR and no instability and to a control group of participants who do not have knee replacements ('native knees') and do not have difficulty walking. This will determine the difference in kinematics between a native knee and a TKR with and without instability.
Age, height, weight, leg lengths, measurements of the TKR position on imaging (taken as part of routine clinical practice) and patient reported outcome scores will be documented.
The gait assessments will be carried out in the outpatient clinic or physiotherapy department. These patients will have their walking gait assessed using a treadmill-based portable 3D infrared camera system (Vicon Ltd, Oxford, UK). The raw data will be processed by Run3D (Run3D Ltd, Oxford, UK) and Visual3D (C-motion Inc, MD, USA) to calculate knee joint angles.
Analysis will focus on within subject (part 1) and between subject differences (part 2). The questions are novel and data will be largely exploratory. Measures, differences and correlations will be presented using descriptive statistics and, where appropriate, correlation and regression coefficients. Where possible, inferential statistics (such as t-tests) will formally test differences in knee kinematic measures and associations with PROMS. Statistical parametric mapping will be applied to analyse continuous quantities over the gait cycle. Published research indicates an effect size of 1.0 may be expected. This suggests sample sizes between 11 and 42 should be sufficient to determine statistically significant two-tailed differences (alpha=0.05, beta=0.2) within subjects or between groups, according to the comparison being assessed. A sample of 42 patients is targeted.
In the longer term, this study will enable a better understanding of the functional biomechanics of TKR instability and potentially develop an alternative quantitative measurement of outcome and instability.
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Inclusion criteria
Patients awaiting revision TKR due to instability:
Primary TKR without instability:
Exclusion criteria
Patients awaiting revision TKR due to instability:
Primary TKR without instability:
38 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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