The influence of metabolic syndrome (MetS) on the outcome after hip and knee arthroplasty is debated. We aimed to investigate the change in patient-reported outcome measure (PROM) scores after hip and knee arthroplasty, comparing patients with and without MetS. From 1 May 2017 to 30 November 2019, a prospective cohort of 2,586 patients undergoing elective unilateral hip and knee arthroplasty was established in Denmark. Data from national registries and a local database were used to determine the presence of MetS. Patients’ scores on Oxford Hip Score (OHS) or Oxford Knee Score (OKS), EuroQol five-dimension five-level questionnaire (EQ-5D-5L), University of California, Los Angeles (UCLA) Activity Scale, and Forgotten Joint Score (FJS) at baseline, three, 12, and 24 months after surgery were collected. Primary outcome was the difference between groups from baseline to 12 months in OHS and OKS. Secondary outcomes were scores of OHS and OKS at three and 24 months and EQ-5D-5L, UCLA Activity Scale, and FJS at three, 12, and 24 months after surgery. Generalized linear mixed model was applied, adjusting for age, sex, Charlson Comorbidity Index, and smoking to present marginal mean and associated 95% CIs.Aims
Methods
The overall aim of this study was to determine the impact of deprivation with regard to quality of life, demographics, joint-specific function, attendances for unscheduled care, opioid and antidepressant use, having surgery elsewhere, and waiting times for surgery on patients awaiting total hip arthroplasty (THA) and total knee arthroplasty (TKA). Postal surveys were sent to 1,001 patients on the waiting list for THA or TKA in a single Northern Ireland NHS Trust, which consisted of the EuroQol five-dimension five-level questionnaire (EQ-5D-5L), visual analogue scores (EQ-VAS), and Oxford Hip and Knee Scores. Electronic records determined prescriptions since addition to the waiting list and out-of-hour GP and emergency department attendances. Deprivation quintiles were determined by the Northern Ireland Multiple Deprivation Measure 2017 using postcodes of home addresses.Aims
Methods
A substantial fraction of patients undergoing knee arthroplasty (KA) or hip arthroplasty (HA) do not achieve an improvement as high as the minimal clinically important difference (MCID), i.e. do not achieve a meaningful improvement. Using three patient-reported outcome measures (PROMs), our aim was: 1) to assess machine learning (ML), the simple pre-surgery PROM score, and logistic-regression (LR)-derived performance in their prediction of whether patients undergoing HA or KA achieve an improvement as high or higher than a calculated MCID; and 2) to test whether ML is able to outperform LR or pre-surgery PROM scores in predictive performance. MCIDs were derived using the change difference method in a sample of 1,843 HA and 1,546 KA patients. An artificial neural network, a gradient boosting machine, least absolute shrinkage and selection operator (LASSO) regression, ridge regression, elastic net, random forest, LR, and pre-surgery PROM scores were applied to predict MCID for the following PROMs: EuroQol five-dimension, five-level questionnaire (EQ-5D-5L), EQ visual analogue scale (EQ-VAS), Hip disability and Osteoarthritis Outcome Score-Physical Function Short-form (HOOS-PS), and Knee injury and Osteoarthritis Outcome Score-Physical Function Short-form (KOOS-PS).Aims
Methods
The primary aim of this prospective, multicentre study is to describe the rates of returning to golf following hip, knee, ankle, and shoulder arthroplasty in an active golfing population. Secondary aims will include determining the timing of return to golf, changes in ability, handicap, and mobility, and assessing joint-specific and health-related outcomes following surgery. This is a multicentre, prospective, longitudinal study between the Hospital for Special Surgery, (New York City, New York, USA) and Edinburgh Orthopaedics, Royal Infirmary of Edinburgh, (Edinburgh, UK). Both centres are high-volume arthroplasty centres, specializing in upper and lower limb arthroplasty. Patients undergoing hip, knee, ankle, or shoulder arthroplasty at either centre, and who report being golfers prior to arthroplasty, will be included. Patient-reported outcome measures will be obtained at six weeks, three months, six months, and 12 months. A two-year period of recruitment will be undertaken of arthroplasty patients at both sites.Aims
Methods
The aim of this study was to identify predictors of return to
work (RTW) after revision lower limb arthroplasty in patients of
working age in the United Kingdom. We assessed 55 patients aged ≤ 65 years after revision total
hip arthroplasty (THA). There were 43 women and 12 men with a mean
age of 54 years (23 to 65). We also reviewed 30 patients after revision
total knee arthroplasty (TKA). There were 14 women and 16 men with
a mean age of 58 years (48 to 64). Preoperatively, age, gender,
body mass index, social deprivation, mode of failure, length of
primary implant survival, work status and nature, activity level
(University of California, Los Angeles (UCLA) score), and Oxford
Hip and Knee Scores were recorded. Postoperatively, RTW status,
Oxford Hip and Knee Scores, EuroQol-5D (EQ-5D), UCLA score, and
Work, Osteoarthritis and Joint-Replacement Questionnaire (WORQ)
scores were obtained. Univariate and multivariate analysis was performed.Aims
Patients and Methods
Aims. The purpose of this study was to assess early physical function
after total hip or knee arthroplasty (THA/TKA), and the correlation
between patient-reported outcome measures, physical performance
and actual
There is evidence that high levels of physical
activity following arthroplasty of the hip or knee can lead to early revision.
However, the term ‘highly active’ is not well defined. A validated ankle accelerometer was used to quantify activity
in 13 patients, who had undergone a total of 20 arthroplasties of
the lower limbs and who had active lifestyles. The assessments were
taken at a mean of 8.7 years post-operatively (1.8 to 15.8). The mean gait cycles per day was 8273 (5964 to 12 557), which
extrapolates to 3.0 million cycles per year (cpy) (2.2 to 4.6).
The mean percentage of time spent in high activity mode was 4.3%,
or about one hour per day. The mean percentage of cycles in high
activity was 40%. Based on these data, we propose the following definitions of
high activity: >
3 million cpy; one hour per day in high activity
mode; 40% of cycles in high activity mode. Extrapolating the sample of activity over the time since operation,
the mean cycles per arthroplasty was 25.2 million, with a maximum
of 44.1 million. No joint has been revised, or shows evidence of
impending failure. Cite this article:
In this systematic review, our aim was to explore
whether or not patients are able to return to athletic activity
following lower limb joint replacement. We also investigated any evidence
as to whether participation in athletic activity post-joint replacement
increases complications and reduces implant survival. A PubMed, Embase and Sports Discus search was performed using
the MeSH terms ‘Sport’, ‘Athletic’, ‘Athlete’, ‘Physical’, ‘Activity’,
‘Arthroplasty’, ‘Total Hip Replacement’, ‘Hip Resurfacing’, ‘Total
Knee Replacement’, ‘Unicompartmental Knee Replacement’ and ‘Unicondylar
Knee Replacement’. From this search, duplications were excluded,
the remaining abstracts were reviewed and any unrelated to the search
terms were excluded. The remaining abstracts had their full papers
reviewed. Following joint replacement, participation in sporting activity
is common principally determined by pre-operative patient activity
levels, BMI and patient age. The type of joint replaced is of less
significance. Total time spent performing activity does not change
but tends to be at a lower intensity. There is little evidence in
the literature of an association between high activity levels and
early implant failure. Cite this article:
We conducted a multicentre cohort study of 228 patients with osteoarthritis followed up after total hip or knee replacement. Quality of life and patient satisfaction were assessed by self-administered questionnaires. Patient satisfaction was the dependent variable in a multivariate linear regression model. Independent variables included sociodemographic factors, pre- and post-operative clinical characteristics and the pre-operative and post-discharge health-related quality of life. The mean age of the patients was 69 years ( The pre-operative health-related quality of life and patient characteristics have little effect on inpatient satisfaction with care. This suggests that the impact of the care process on satisfaction may be independent of observed and perceived initial patient-related characteristics.
