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
We used the National Joint Registry for England, Wales, Northern Ireland and the Isle of Man (NJR) to investigate the risk of revision due to prosthetic joint infection (PJI) for patients undergoing primary and revision hip arthroplasty, the changes in risk over time, and the overall burden created by PJI. We analysed revision total hip arthroplasties (THAs) performed due to a diagnosis of PJI and the linked index procedures recorded in the NJR between 2003 and 2014. The cohort analysed consisted of 623 253 index primary hip arthroplasties, 63 222 index revision hip arthroplasties and 7585 revision THAs performed due to a diagnosis of PJI. The prevalence, cumulative incidence functions and the burden of PJI (total procedures) were calculated. Overall linear trends were investigated with log-linear regression.Objectives
Methods
Total hip replacement causes a short-term increase
in the risk of mortality. It is important to quantify this and to identify
modifiable risk factors so that the risk of post-operative mortality
can be minimised. We performed a systematic review and critical
evaluation of the current literature on the topic. We identified
32 studies published over the last 10 years which provide either
30-day or 90-day mortality data. We estimate the pooled incidence
of mortality during the first 30 and 90 days following hip replacement
to be 0.30% (95% CI 0.22 to 0.38) and 0.65% (95% CI 0.50 to 0.81),
respectively. We found strong evidence of a temporal trend towards
reducing mortality rates despite increasingly co-morbid patients.
The risk factors for early mortality most commonly identified are
increasing age, male gender and co-morbid conditions, particularly
cardiovascular disease. Cardiovascular complications appear to have
overtaken fatal pulmonary emboli as the leading cause of death after
hip replacement. Cite this article:
