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Orthopaedic Proceedings
Vol. 103-B, Issue SUPP_1 | Pages 13 - 13
1 Feb 2021
Gardner C Karbanee N Wang L Traynor A Cracaoanu I Thompson J Hardaker C
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Introduction

Total Hip Arthroplasty (THA) devices are now increasingly subjected to a progressively greater range of kinematic and loading regimes from substantially younger and more active patients. In the interest of ensuring adequate THA solutions for all patient groups, THA polyethylene acetabular liner (PE Liner) wear representative of younger, heavier, and more active patients (referred to as HA in this study) warrants further understanding.

Previous studies have investigated HA joint related morbidity [1]. Current or past rugby players are more likely to report osteoarthritis, osteoporosis, and joint replacement than a general population.

This investigation aimed to provide a preliminary understanding of HA patient specific PE liner tribological performance during Standard Walking (SW) gait in comparison to IS0:14242-1:2014 standardized testing.

Materials and Methods

Nine healthy male subjects volunteered for a gait lab-based study to collect kinematics and loading profiles. Owing to limitations in subject selection, five subjects wore a weighted jacket to increase Body Mass Index ≥30 (BMI). An induced increase in Bodyweight was capped (<30%BW) to avoid significantly effecting gait [3] (mean=11%BW).

Six subjects identified as HA per BMI≥30, but with anthropometric ratios indicative of lower body fat as previously detailed by the author [2] (Waist-to-hip circumference ratio and waist circumference-to-height ratio). Three subjects identified as Normal (BMI<25). Instrumented force plate loading profiles were scaled (≈270%BW) in agreement with instrumented hip force data [4].

A previously verified THA (Pinnacle® Marathon® 36×56mm, DePuy Synthes) Finite Element Analysis wear model based on Archard's law and modified time hardening model [5] was used to predict geometrical changes due to wear and deformation, respectively (Figure 1). Subject dependent kinematic and loading conditions were sampled to generate, for both legs, 19 SW simulation runs using a central composite design of response surface method.


Orthopaedic Proceedings
Vol. 101-B, Issue SUPP_4 | Pages 51 - 51
1 Apr 2019
Gardner C Traynor A Karbanee NA Clarke D Hardaker C
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Introduction

Hip arthroplasty is considered common to patients aged 65 and over however, both Jennings, et al., (2012) and Bergmann (2016) found THA patients are substantially younger with more patients expecting to return to preoperative activity levels. With heavier, younger, and often more active patients, devices must be able to support a more demanding loading-regime to meet patient expectations. McClung (2000) demonstrated that obese patients can display lower wear-rates with UHMWPE bearing resulting from post-operative, self-induced reduced ambulatory movement, thus questioning if obese kinematics and loading are indeed the worst-case.

Current loading patterns used to test hip implants are governed by ISO 14242-1 (2014). This study aimed to characterize a heavy and active population (referred to as HA) and investigate how the gait profile may differ to the current ISO profile.

Method

A comprehensive anthropometric data set of 4082 men (Gordon, CC., et.al., 2014) was used to characterize a HA population. Obese and HA participants were classed as BMI ≥30 however HA participants were identified by applying anthropometric ratios indicative of lower body fat, namely “waist to height” (i.e. WHtR <0.6) and “waist to hip” (i.e. WHpR <0.9).


Orthopaedic Proceedings
Vol. 96-B, Issue SUPP_4 | Pages 33 - 33
1 Feb 2014
Gardner C Davies C Tandon V Smith R
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Introduction

Decompression is the gold standard surgical technique in patients with symptomatic spinal stenosis not responding to conservative management. We present an audit of outcomes in a population of patients undergoing this procedure over a four year period.

Method

All patients undergoing lumbar decompression were assessed preoperatively and between 4 and 12 months postoperatively using the Oswestry Disabilty Index (ODI %), pain scale (0–10) and patient satisfaction. The patient's age, the number of levels decompressed and the incidence of complications were recorded.