Participants
All arthroplasty subjects were identified from a registered multicentre and ongoing Evolution Hip Trial database (Clinical trial identifier: NCT01721278) which commenced October 2012(14). Under study ethical approval (Ethics Committee registration (10/H0807/101), consenting subjects had their gait assessed using a treadmill instrumented with force plates. A total of 18 patients were identified as meeting the inclusion criteria of having a long and short stem hip replacement in situ without any other joint or medical disorder to affect gait. However, six subjects were excluded. One subject was excluded due to poor overall balance, which prevented safe assessment. The five other subjects were excluded as they formed a minority who had a variety of other long femoral stems (Modular stem n = 1, cemented stem n = 2, other uncemented brand = 2), which were different from the rest of the group. An appropriate anthropometrically similar control group without known lower limb disease from the gait lab database was retrieved for analysis, so this meant that a total of 25 subjects with twelve in the arthroplasty and a further thirteen in the control group was analysed. All arthroplasty subjects were implanted with a short stem which is 100 mm from shoulder to tip in length (Furlong Evolution, Joint replacement instruments, Sheffield, England) in one hip and a long stem which is 140–166 mm from shoulder to tip in length (Furlong HAC, Joint replacement instruments, Sheffield, England) in the other hip. Both uncemented stems are hydroxyapatite plasma sprayed with the same mechanical stability principles and ODEP (orthopaedic device evaluation panel) approved, with the Furlong HAC, which has been around longer, having a best 10A* rating. Case records of the arthroplasty group were further screened to confirm an uncomplicated surgical recovery and ensure the absence of other lower limb replacements or conditions, which might have affected walking ability. All subjects were analysed by a blinded assessor to avoid any potential testing bias.
Radiological assessment
Radiographic pre-operative disease severity was assessed using Kellgren-Lawrence osteoarthritis grading system with orthogonal radiographs of the hip (15). Postoperative radiographs were scrutinised to ensure that an accurate reconstruction of hip off-set, leg length and cup inclination had been achieved (16).
Surgical intervention and rehabilitation
All surgery was performed by the senior surgical author using a conventional posterior approach with a trans-osseous muscle and capsular repair. The senior surgeons’ implant of choice switched from the long to the short stem following its introduction (Fig. 1). Thus surgery was performed in a staged fashion with long stems being implanted first and short stems second at a later date once contralateral hips were arthritically afflicted and symptomatic. All implanted hips had a ceramic on ceramic bearing couple. All subjects had standard hip precautions and day 1 rehabilitation programme irrespective of the implant used.
Patient-reported outcome measures (PROMS)
PROMs assessment in the form of the Oxford hip score (OHS) (17), EuroQol 5 part questionnaire (EQ-5D) with the EuroQol visual analogue scale (EQ-VAS) scores (18) were obtained prior gait analysis. The psychometric questionnaires were collected for both hips rather than individually to prevent inducing conscious bias toward a particular side.
Gait instrumentation, variables, processing and analysis
Gait analysis was conducted on a previously reported protocol using a validated treadmill instrumented with tandem piezo-electric force plates beneath the treadmill belt (Gaitway™ II, Kistler Instrument Corporation, Amherst NY) (12, 13). The vertical component of the ground reaction forces (GRF) were collected by calibrated force plates at a sample frequency of 100 Hz. Ground reaction forces were the focus of analysis as it reflects the load transmitted through the limb and thus will identify any limb predilection or advantage. The chosen variables for analysis, as seen in Fig. 2, were weight acceptance (WA), midstance (MS), and pushoff (PO) based on studies demonstrating excellent reliability and repeatability with an intra-class correlation coefficient of 0.93–0.99 (19, 20). Furthermore, these variables are important for a functionally stable hip as weight acceptance represents the hip in flexion accepting the load transfer of the entire body, while the midstance representing the hip centre of mass going from flexion to extension with it terminating the load transfer by push offing to the opposite limb. All subjects prior to testing were weighed by the treadmill force plate to allow normalisation for body weight as according to Hof et al. (21). All participants had a standardised warmup and acclimatisation period of 6 min to reduce gait data inconsistencies associated with being unfamiliarised (22). Walking pace was incrementally increased from 3 km/h by 0.5 km/h until their top walking speed (TWS) was achieved. TWS was defined as the fastest the subject could comfortably walk without running. The treadmill was then raised to record uphill walking gait data at 5°, 10° and 15° as it is a common everyday activity and shown to influence the condition to test gait (20). GRF data were collected for both limbs at all speed and incline intervals for 10 s each. All trials were visually processed to ensure six consecutive strides were taken cleanly. As a large amount of trials were collected a MATLAB (Mathworks, Mass, USA) script was written to extract the data from the Kistler software in a formatted manner for analysis. Data was stratified into short and long stems for the arthroplasty group and right and left limbs for the healthy control group. A validated symmetry index was completed to assess the gait symmetry of the short stem limb to the contra-lateral opposing limb(23). It was calculated using the formula:
$$\mathrm{Absolute SI}= \frac{\left|X1-X2\right|}{0.5 \times \left(X1+X2\right) } \times 100\%,$$
where X1 was the short stem implanted limb measure and X2 was the contra-lateral conventional limb measure. It gave a measure of percent difference between limbs. X1 and X2 were used for controls right and left respectively.
Statistical analysis was performed with Matlab. All variables were shown to be normally distributed with a Shapiro–Wilk test. All variables for each of the subject group were compared to each other using an analysis of variance (ANOVA) with Tukey post hoc test. For continuous variables between implanted limbs, a paired T test was used. A chi-squared test was used for categorical variables. The significance was set at α = 0.05 throughout.
A minimum sample size of 9 subjects comprising 18 hips in 2 groups was chosen based on an analogous study design comparing hip resurfacing and conventional THA which demonstrated statistical advantages with a minimum clinical difference of 5% (13). To ensure a difference could be found, a power analysis was conducted with G*Power™ using the above study findings of weight acceptance mean of 1208 and 1279 Newtons force along with a standard deviation of 320 and 390 for the respective arthroplasty hips. With an effect size determinate of 0.59, an alpha error probability of 0.05 and power of 0.80, it determined a total of 20 hips would give an actual power of 0.82 with a noncentrality parameter delta of 2.65 and acritical t of 1.73.