Tibiotalocalcaneal arthrodesis (TTCA) is a salvage procedure to functionally block the ankle and subtalar joints to treat severe ankle and hindfoot disease. Complication rates range between 20-40%, with below-knee amputation rate 1.5-19%. The heterogeneous patient cohort and indication(s) for surgery make post-operative outcomes difficult to predict. Consulting patients about potential pain and functional outcomes is difficult. When researching this area commonly, PROM data is used, less frequently functional objective measures like the 2-minute-walk-test (2MWT) are used. The aim was to compare the
The prevalence of gluteal tendinopathy (GT) associated with osteoarthritis of the hip is difficult to determine as it is frequently undiagnosed or misdiagnosed as trochanteric bursitis. Its relationship to total hip arthroplasty (THA) outcomes is currently unknown. The aim of this study was to determine the incidence of GT at the time of hip arthroplasty and examine the relationship between GT and patient reported outcomes (PROMS) before and after THA. Patients undergoing THA for primary osteoarthritis between August 2017 and August 2020 were recruited. Tendinopathy was assessed and graded at time of surgery.
Smartphone-based apps that measure step-count and patient reported outcomes (PROMs) are being increasingly used to quantify recovery in total hip arthroplasty (THA). However, optimum patient-specific activity level before and during THA early-recovery is not well characterised. This study investigated 1) correlations between step-count and
Total Knee Arthroplasty (TKA) is an effective surgery performed for knee osteoarthritis. Despite this success up to 20% of patients are less than fully satisfied. Rotating platform (RP) bearings have demonstrated significant reduction in rates of wear in laboratory studies but thus far have failed to demonstrate a clinical difference compared to fixed bearing (FB) arthroplasty in patients. This may be due to studies limited by small sample size and single centre design. Additionally, no studies have utilised modern patient-reported outcome measures (PROMs) such as PKIP to investigate differences between these bearings. A non-randomised, prospective, multi-centre study was conducted across centres in Australia, United Kingdom and the United States from November 2012 to May 2015. Knee prosthesis included were the RP and FB models of the PFC Sigma Knee (Depuy, Synthes) and the ATTUNE Knee (Depuy, Synthes). Data was collected on pre-arthroplasty interventions, demographics and
Passive smartphone-based apps are becoming more common for measuring patient progress after total knee arthroplasty (TKA). Optimum activity levels during early TKA recovery haven't been well documented. This study investigated correlations between step-count and patient reported outcome measures (PROMs) and how demographics impact step-count preoperatively and during early post-operative recovery. Smartphone capture step-count data from 357 TKA patients was retrospectively reviewed. Mean age was 68±8years. 61% were female. Mean BMI was 31±6kg/m2. Mean daily step count was calculated over three time-windows: 60 days prior to surgery (preop), 5-6 weeks postop (6wk), and 11-12 weeks postop (12wk). Linear correlations between step-count and KOOS12-function and UCLA activity scores were performed. Patients were separated into three step-count levels: low (<1500steps/day), medium (1500-4000steps/day), and high (>4000steps/day). Age >65years, BMI >30kg/m2, and sex were used for demographic comparisons. Student's t-tests determined significant differences in mean step-counts between demographic groups, and in mean
Total hip arthroplasty (THA) is an effective treatment for symptomatic hip osteoarthritis (OA). While computer-navigation technologies in total knee arthroplasty show survivorship advantages and are widely used, comparable applications within THA show far lower utilisation. Using national registry data, this study compared patient reported outcome measures (PROMs) in patients who underwent THA with and without computer navigation. Data from Australian Orthopaedic Association National Joint Replacement Registry (AOANJRR)
Aims. The aim of this study was to capture 12-month outcomes from a representative multicentre cohort of patients undergoing total ankle arthroplasty (TAA), describe the pattern of patient-reported outcome measures (PROMs) at 12 months, and identify predictors of these outcome measures. Methods. Patients listed for a primary TAA at 19 NHS hospitals between February 2016 and October 2017 were eligible.
Introduction:. PREMS and
The modified Hedgehog technique was previously used to reattach pure chondral shear-off fragments in the pediatric knee. In the modified Hedgehog technique, the calcified side of chondral fragments is multiple times incised and trimmed obliquely for an interlocking fit in the defect site. Fibrin glue with or without sutures is subsequently applied to fix the fragment to the defect. This preliminary report further elucidates the potential of the technique by evaluation of its application in young adults using patient reported outcome measures (PROMs) and high-field Magnetic Resonance Imaging (MRI) as outcome measures. Three patients with a femoral cartilage defect (2 medial, 1 lateral), and a concomitant pure chondral corpus liberum were operatively treated by the modified Hedgehog technique. Age at surgery ranged from 20.6–21.2 years, defect size ranged from 3.8–6.0 cm2. Patients were evaluated at three months and one year after surgery by
The Oxford Hip Score (OHS), the Harris Hip Score (HHS) and WOMAC are examples of patient reported outcome measures (PROMs) have well documented ceiling effects, with many patients clustered close to full marks following arthroplasty. Any arthroplasty that offers superior function would therefore fail to be detectable using these metrics. Two recent well conducted randomised clinical trials made exactly this error, by using OHS and WOMAC to detect a differences in outcome between hip resurfacing and hip arthroplasty despite published data already showing in single arm studies that these two procedures score close to full marks using both
Over 8000 total hip arthroplasties (THA) in the UK were revised in 2019, half for aseptic loosening. It is believed that Artificial Intelligence (AI) could identify or predict failing THA and result in early recognition of poorly performing implants and reduce patient suffering. The aim of this study is to investigate whether Artificial Intelligence based machine learning (ML) / Deep Learning (DL) techniques can train an algorithm to identify and/or predict failing uncemented THA. Consent was sought from patients followed up in a single design, uncemented THA implant surveillance study (2010–2021). Oxford hip scores and radiographs were collected at yearly intervals. Radiographs were analysed by 3 observers for presence of markers of implant loosening/failure: periprosthetic lucency, cortical hypertrophy, and pedestal formation. DL using the RGB ResNet 18 model, with images entered chronologically, was trained according to revision status and radiographic features. Data augmentation and cross validation were used to increase the available training data, reduce bias, and improve verification of results. 184 patients consented to inclusion. 6 (3.2%) patients were revised for aseptic loosening. 2097 radiographs were analysed: 21 (11.4%) patients had three radiographic features of failure. 166 patients were used for ML algorithm testing of 3 scenarios to detect those who were revised. 1) The use of revision as an end point was associated with increased variability in accuracy. The area under the curve (AUC) was 23–97%. 2) Using 2/3 radiographic features associated with failure was associated with improved results, AUC: 75–100%. 3) Using 3/3 radiographic features, had less variability, reduced AUC of 73%, but 5/6 patients who had been revised were identified (total 66 identified). The best algorithm identified the greatest number of revised hips (5/6), predicting failure 2–8 years before revision, before all radiographic features were visible and before a significant fall in the Oxford Hip score. True-Positive: 0.77, False Positive: 0.29. ML algorithms can identify failing THA before visible features on radiographs or before PROM scores deteriorate. This is an important finding that could identify failing THA early.
Assessment of functional outcome after total hip arthroplasty (THA) often involves subjective patient-reported outcome measures (PROMs) whereas analysis of gait allows more objective assessment. The aims of the study were to compare longitudinal changes of WOMAC function score and ambulatory gait analysis after THA, between patients with low and high self-reported levels of physical function. Patients undergoing primary THA (n=36; m/f=18/18; mean age=63.9; SD=9.8yrs; BMI=26.3 SD=3.5) were divided in a high and low function group, on their preoperative WOMAC function score. Patients were prospectively measured preoperatively and 3 and 12 months postoperatively. WOMAC function scores 0–100) were compared to inertial sensor based ambulatory gait analysis.Background
Methods
The routine use of patient reported outcome measures
(PROMs) in evaluating the outcome after arthroplasty by healthcare
organisations reflects a growing recognition of the importance of
patients’ perspectives in improving treatment. Although widely embraced
in the NHS, there are concerns that
The purpose of this study was to use patient generated digital surveillance PROM's to track outcomes of TKA, Medial PKA, Lateral PKA. From Aug 2018 until June 2019 we performed 873 knee arthroplasties. Of these, 41 were fixed bearing lateral partial knee replacements (5%), 309 medial partial knee replacements (35%), and 523 total knee replacements (60%). The average age was 65 years old and 59% were female. KOOS-Jr scores were recorded preoperatively, and 6, 12 months postoperatively using digital surveillance technology with a greater than 90% response rate.Introduction
Methods
The aim of this randomized trial was to compare the functional outcome of two different surgical approaches to the hip in patients with a femoral neck fracture treated with a hemiarthroplasty. A total of 150 patients who were treated between February 2014 and July 2017 were included. Patients were allocated to undergo hemiarthroplasty using either an anterolateral or a direct lateral approach, and were followed for 12 months. The mean age of the patients was 81 years (69 to 90), and 109 were women (73%). Functional outcome measures, assessed by a physiotherapist blinded to allocation, and patient-reported outcome measures (PROMs) were collected postoperatively at three and 12 months.Aims
Patients and Methods
The effective capture of outcome measures in
the healthcare setting can be traced back to Florence Nightingale’s
investigation of the in-patient mortality of soldiers wounded in
the Crimean war in the 1850s. Only relatively recently has the formalised collection of outcomes
data into Registries been recognised as valuable in itself. With the advent of surgeon league tables and a move towards value
based health care, individuals are being driven to collect, store
and interpret data. Following the success of the National Joint Registry, the British
Association of Spine Surgeons instituted the British Spine Registry.
Since its launch in 2012, over 650 users representing the whole
surgical team have registered and during this time, more than 27 000
patients have been entered onto the database. There has been significant publicity regarding the collection
of outcome measures after surgery, including patient-reported scores.
Over 12 000 forms have been directly entered by patients themselves,
with many more entered by the surgical teams. Questions abound: who should have access to the data produced
by the Registry and how should they use it? How should the results
be reported and in what forum? Cite this article:
The aim of this study was to determine the association
between the Oxford knee score (OKS) and direct assessment of outcome,
and to examine how this relationship varied at different time-points
following total knee replacement (TKR). Prospective data consisting
of the OKS, numerical rating scales for ‘worst pain’ and ‘perceived
mean daily pain’, timed functional assessments (chair rising, stairs
and walking ability), goniometry and lower limb power were recorded
for 183 patients pre-operatively and at six, 26 and 52 weeks post-operatively.
The OKS was influenced primarily by the patient’s level of pain
rather than objective functional assessments. The relationship between report
of outcome and direct assessment changed over time: R2 =
35% pre-operatively, 44% at six weeks, 57% at 26 weeks and 62% at
52 weeks. The relationship between assessment of performance and report
of performance improved as the patient’s report of pain diminished,
suggesting that patients’ reporting of functional outcome after
TKR is influenced more by their pain level than their ability to
accomplish tasks.
We continued a prospective longitudinal follow-up
study of 53 remaining patients who underwent open total meniscectomy
as adolescents and who at that time had no other intra-articular
pathology of the knee. Their clinical, radiological and patient-reported
outcomes are described at a mean follow-up of 40 years (33 to 50).
The cohort of patients who had undergone radiological evaluation
previously after 30 years were invited for clinical examination,
radiological evaluation and review using two patient-reported outcome
measures. A total of seven patients (13.2%) had already undergone total
knee replacement at the time of follow-up. A significant difference
was observed between the operated and non-operated knee in terms
of range of movement and osteoarthritis of the tibiofemoral joint,
indicating a greater than fourfold relative risk of osteoarthritis
at 40 years post-operatively. All patients were symptomatic as defined
by the Knee Injury and Osteoarthritis Outcome Score. This study represents the longest follow-up to date and it can
be concluded that meniscectomy leads to symptomatic osteoarthritis
of the knee later in life, with a resultant 132-fold increase in
the rate of total knee replacement in comparison to their geographical
and age-matched peers.