The aim of this study was to determine the outcome of all primary total hip arthroplasties (THAs) and their subsequent revision procedures in patients aged under 50 years performed at our institution. All 1,049 primary THAs which were undertaken in 860 patients aged under 50 years between 1988 and 2018 in our tertiary care institution were included. We used cemented implants in both primary and revision surgery. Impaction bone grafting was used in patients with acetabular or femoral bone defects. Kaplan-Meier analyses were used to determine the survival of primary and revision THA with the endpoint of revision for any reason, and of revision for aseptic loosening.Aims
Methods
To develop and externally validate a parsimonious statistical prediction model of 90-day mortality after elective total hip arthroplasty (THA), and to provide a web calculator for clinical usage. We included 53,099 patients with cemented THA due to osteoarthritis from the Swedish Hip Arthroplasty Registry for model derivation and internal validation, as well as 125,428 patients from England and Wales recorded in the National Joint Register for England, Wales, Northern Ireland, the Isle of Man, and the States of Guernsey (NJR) for external model validation. A model was developed using a bootstrap ranking procedure with a least absolute shrinkage and selection operator (LASSO) logistic regression model combined with piecewise linear regression. Discriminative ability was evaluated by the area under the receiver operating characteristic curve (AUC). Calibration belt plots were used to assess model calibration.Aims
Methods
Our aim was to examine the Elixhauser and Charlson comorbidity indices, based on administrative data available before surgery, and to establish their predictive value for mortality for patients who underwent hip arthroplasty in the management of a femoral neck fracture. We analyzed data from 42 354 patients from the Swedish Hip Arthroplasty Register between 2005 and 2012. Only the first operated hip was included for patients with bilateral arthroplasty. We obtained comorbidity data by linkage from the Swedish National Patient Register, as well as death dates from the national population register. We used univariable Cox regression models to predict mortality based on the comorbidity indices, as well as multivariable regression with age and gender. Predictive power was evaluated by a concordance index, ranging from 0.5 to 1 (with the higher value being the better predictive power). A concordance index less than 0.7 was considered poor. We used bootstrapping for internal validation of the results.Aims
Patients and Methods
While an increasing amount of arthroplasty articles
report comorbidity measures, none have been validated for outcomes.
In this study, we compared commonly used International Classification
of Diseases-based comorbidity measures with re-operation rates after
total hip replacement (THR). Scores used included the Charlson,
the Royal College of Surgeons Charlson, and the Elixhauser comorbidity
score. We identified a nationwide cohort of 134 423 THRs from the
Swedish Hip Arthroplasty Register. Re-operations were registered
post-operatively for up to 12 years. The hazard ratio was estimated
by Cox’s proportional hazards regression, and we used C-statistics
to assess each measure’s ability to predict re-operation. Confounding
variables were age, gender, type of implant fixation, hospital category,
hospital implant volume and year of surgery. In the first two years only the Elixhauser score showed any significant
relationship with increased risk of re-operation, with increased
scores for both one to two and three or more comorbidities. However,
the predictive C-statistic in this period for the Elixhauser score
was poor (0.52). None of the measures proved to be of any value between
two and 12 years. They might be of value in large cohort or registry
studies, but not for the individual patient. Cite this article:
