Unicompartmental knee arthroplasty (UKA) has
advantages over total knee arthroplasty but national joint registries report
a significantly higher revision rate for UKA. As a result, most
surgeons are highly selective, offering UKA only to a small proportion
(up to 5%) of patients requiring arthroplasty of the knee, and consequently
performing few each year. However, surgeons with large UKA practices
have the lowest rates of revision. The overall size of the practice
is often beyond the surgeon’s control, therefore case volume may
only be increased by broadening the indications for surgery, and
offering UKA to a greater proportion of patients requiring arthroplasty
of the knee. The aim of this study was to determine the optimal UKA usage
(defined as the percentage of knee arthroplasty practice comprised
by UKA) to minimise the rate of revision in a sample of 41 986 records
from the for National Joint Registry for England and Wales (NJR). UKA usage has a complex, non-linear relationship with the rate
of revision. Acceptable results are achieved with the use of 20%
or more. Optimal results are achieved with usage between 40% and
60%. Surgeons with the lowest usage (up to 5%) have the highest
rates of revision. With optimal usage, using the most commonly used
implant, five-year survival is 96% (95% confidence interval (CI)
94.9 to 96.0), compared with 90% (95% CI 88.4 to 91.6) with low
usage (5%) previously considered ideal. The rate of revision of UKA is highest with low usage, implying
the use of narrow, and perhaps inappropriate, indications. The widespread
use of broad indications, using appropriate implants, would give
patients the advantages of UKA, without the high rate of revision. Cite this article:
Whether to use total or unicompartmental knee
replacement (TKA/UKA) for end-stage knee osteoarthritis remains controversial.
Although UKA results in a faster recovery, lower rates of morbidity
and mortality and fewer complications, the long-term revision rate
is substantially higher than that for TKA. The effect of each intervention on
patient-reported outcome remains unclear. The aim of this study
was to determine whether six-month patient-reported outcome measures
(PROMs) are better in patients after TKA or UKA, using data from
a large national joint registry (NJR). We carried out a propensity score-matched cohort study which
compared six-month PROMs after TKA and UKA in patients enrolled
in the NJR for England and Wales, and the English national PROM
collection programme. A total of 3519 UKA patients were matched
to 10 557 TKAs. The mean six-month PROMs favoured UKA: the Oxford Knee Score
was 37.7 (95% confidence interval (CI) 37.4 to 38.0) for UKA and
36.1 (95% CI 35.9 to 36.3) for TKA; the mean EuroQol EQ-5D index
was 0.772 (95% CI 0.764 to 0.780) for UKA and 0.751 (95% CI 0.747
to 0.756) for TKA. UKA patients were more likely to achieve excellent
results (odds ratio (OR) 1.59, 95% CI 1.47 to 1.72, p <
0.001)
and to be highly satisfied (OR 1.27, 95% CI 1.17 to 1.39, p <
0.001), and
were less likely to report complications than those who had undergone
TKA. UKA gives better early patient-reported outcomes than TKA; these
differences are most marked for the very best outcomes. Complications
and readmission are more likely after TKA. Although the data presented
reflect the short-term outcome, they suggest that the high revision
rate for UKA may not be because of poorer clinical outcomes. These
factors should inform decision-making in patients eligible for either
procedure. Cite this article:
Patient-reported outcome measures (PROMs) are
increasingly being used to assess functional outcome and patient satisfaction.
They provide a framework for comparisons between surgical units,
and individual surgeons for benchmarking and financial remuneration.
Better performance may bring the reward of more customers as patients and
commissioners seek out high performers for their elective procedures.
Using National Joint Registry (NJR) data linked to PROMs we identified
22 691 primary total knee replacements (TKRs) undertaken for osteoarthritis
in England and Wales between August 2008 and February 2011, and
identified the surgical factors that influenced the improvements
in the Oxford knee score (OKS) and EuroQol-5D (EQ-5D) assessment
using multiple regression analysis. After correction for patient
factors the only surgical factors that influenced PROMs were implant
brand and hospital type (both p <
0.001). However, the effects
of surgical factors upon the PROMs were modest compared with patient
factors. For both the OKS and the EQ-5D the most important factors
influencing the improvement in PROMs were the corresponding pre-operative
score and the patient’s general health status. Despite having only
a small effect on PROMs, this study has shown that both implant
brand and hospital type do influence reported subjective functional
scores following TKR. In the current climate of financial austerity,
proposed performance-based remuneration and wider patient choice,
it would seem unwise to ignore these effects and the influence of
a range of additional patient factors.
Following arthroplasty of the knee, the patient’s
perception of improvement in symptoms is fundamental to the assessment
of outcome. Better clinical outcome may offset the inferior survival
observed for some types of implant. By examining linked National
Joint Registry (NJR) and patient-reported outcome measures (PROMs)
data, we aimed to compare PROMs collected at a minimum of six months
post-operatively for total (TKR: n = 23 393) and unicondylar knee
replacements (UKR: n = 505). Improvements in knee-specific (Oxford
knee score, OKS) and generic (EuroQol, EQ-5D) scores were compared
and adjusted for case-mix differences using multiple regression.
Whereas the improvements in the OKS and EQ-5D were significantly
greater for TKR than for UKR, once adjustments were made for case-mix
differences and pre-operative score, the improvements in the two
scores were not significantly different. The adjusted mean differences
in the improvement of OKS and EQ-5D were 0.0 (95% confidence interval (CI)
-0.9 to 0.9; p = 0.96) and 0.009 (95% CI -0.034 to 0.015; p = 0.37),
respectively. We found no difference in the improvement of either knee-specific
or general health outcomes between TKR and UKR in a large cohort
of registry patients. With concerns about significantly higher revision
rates for UKR observed in worldwide registries, we question the
widespread use of an arthroplasty that does not confer a significant
benefit in clinical outcome.
As part of the national initiative to reduce
waiting times for joint replacement surgery in Wales, the Cardiff
and Vale NHS Trust referred 224 patients to the NHS Treatment Centre
in Weston-Super-Mare for total knee replacement (TKR). A total of
258 Kinemax TKRs were performed between November 2004 and August
2006. Of these, a total of 199 patients (232 TKRs, 90%) have been
followed up for five years. This cohort was compared with 258 consecutive
TKRs in 250 patients, performed at Cardiff and Vale Orthopaedic
Centre (CAVOC) over a similar time period. The five year cumulative
survival rate was 80.6% (95% confidence interval (CI) 74.0 to 86.0)
in the Weston-Super-Mare cohort and 95.0% (95% CI 90.2 to 98.2)
in the CAVOC cohort with revision for any reason as the endpoint.
The relative risk for revision at Weston-Super-Mare compared with
CAVOC was 3.88 (p <
0.001). For implants surviving five years,
the mean Oxford knee scores (OKS) and mean EuroQol (EQ-5D) scores
were similar (OKS: Weston-Super-Mare 29 (2 to 47) The results show a higher revision rate for patients operated
at Weston-Super-Mare Treatment Centre, with a reduction in functional
outcome and quality of life after revision. This further confirms
that patients moved from one area to another for joint replacement
surgery fare poorly.
Recent publication of reports showing high revision rates for hip and knee replacements carried out in Independent Sector Treatment Centres (ISTCs) has raised doubts regarding their ability to provide high quality healthcare. The high revision rates also create a financial burden to the NHS. The poor quality of data collected at ISTCs makes their performance difficult to evaluate. Funds may be better spent improving existing NHS facilities rather than establishing parallel ISTCs.