The purpose of this study was to determine the complications after Bernese periacetabular osteomy (PAO) performed by one experienced surgeon using a minimally invasive modified Smith-Petersen approach. Between May 2012 and December 2015, 224 periacetabular osteotomies (PAO) in 201 patients were performed. The perioperative complications were retrospectively reviewed after reviewing clinical notes and radiographs. The mean age was 28.8 years with 179 females and 22 males. The most common diagnosis was acetabular dysplasia with some cases of retroversion. The average lateral centre edge (LCE) angle was 16.5°(−18–45) and mean acetabular index (AI) 16.79° (−3–50). Postoperatively the mean LCE angle was 33.1°(20–51.3) and mean AI 3.0° (−13.5–16.6). There were no deep infections, no major nerve or vascular injuries and only one allogenic blood transfusion. Nine superficial wound infections required oral antibiotics and two wounds needed a surgical debridement. There was one pulmonary embolus and one deep vein thrombosis. Nine (4%) cases underwent a subsequent hip arthroscopy and three (1.3%) PAO's were converted to a total hip arthroplasty after a mean follow-up of 22 months (3–50). Lateral femoral cutaneous nerve dysaesthesia was noted in 64 (28.6%) PAO's. In 55 (24.5%) an iliopsoas injection of local anaesthetic and steroid for persistent iliopsoas irritation during the recovery phase was given. The minimally invasive modified Smith-Petersen approach is suitable to perform a Bernese periacetabular osteotomy with a low perioperative complication rate. Persistent pain related to iliopsoas is a not uncommon finding and perhaps under-reported in the literature.
The aim of this study was to compare early functional and health
related quality of life outcomes (HRQoL) in patients who have undergone
total hip arthroplasty (THA) using a bone conserving short stem
femoral component and those in whom a conventional length uncemented
component was used. Outcome was assessed using a validated performance
based outcome instrument as well as patient reported outcome measures
(PROMs). We prospectively analysed 33 patients whose THA involved a contemporary
proximally porous coated tapered short stem femoral component and
53 patients with a standard conventional femoral component, at a
minimum follow-up of two years. The mean follow-up was 31.4 months
(24 to 39). Patients with poor proximal femoral bone quality were
excluded. The mean age of the patients was 66.6 years (59 to 77)
and the mean body mass index was 30.2 kg/m2 (24.1 to
41.0). Outcome was assessed using the Oxford Hip Score (OHS) and
the University College Hospital (UCH) hip score which is a validated
performance based instrument. HRQoL was assessed using the EuroQol
5D (EQ-5D).Aims
Patients and Methods
A fractured hip is the commonest cause of injury related death in the UK. Prompt surgery has been found to improve pain scores and reduce the length of hospital stay, risk of decubitus ulcer formation and mortality rates. The hip fracture Best Practice Tariff (BPT) aims to improve these outcomes by financially compensating services, which deliver hip fracture surgery within 36 hours of admission. Ensuring that delays are reserved for patients with conditions which compromise survival, but are responsive to medical optimisation, would facilitate enhanced outcomes and help to achieve the 36-hour target. We aimed to identify medical conditions associated with patients failing to achieve the 36-hour cut off, and evaluated whether these were justified by calculating their associated mortality risk. Prospectively collected data from the National Hip Fracture Database (NHFD) and inpatient hospital records and blood results from a single major trauma centre were obtained. Complete data sets from 1361 patients were available for analysis. Medical conditions contributing to surgical delay beyond the BPPT (Best Practice Tariff Target) 36-hour cut off, were identified and analysed using univariate and multivariate regression analyses, whilst adjusting for covariates. The mortality risk associated with each factor contributing to surgical delay was then calculated using univariate and hierarchical regression techniques.Introduction
Methods