Aims. To determine if patient ethnicity among patients with a hip fracture influences the type of fracture, surgical care, and outcome. Methods. This was an observational cohort study using a linked dataset combining data from the National Hip Fracture Database and Hospital Episode Statistics in England and Wales. Patients’ odds of dying at one year were modelled using logistic regression with adjustment for ethnicity and clinically relevant covariates. Results. A total of 563,640 patients were included between 1 April 2011 and 1 October 2020. Of these, 476,469 (85%) had a coded ethnicity for analysis. Non-white patients tended to be younger (mean 81.2 vs 83.0 years), and were more commonly male (34.9% vs 28.5%; p < 0.001). They were less likely to be admitted from institutional care (12.9% vs 21.8%; p < 0.001), to have normal cognition (53.3% vs 62.0%; p < 0.001), and to be free of comorbidities (22.0% vs 26.8%; p < 0.001), but were more likely to be from the most deprived areas (29.4% vs 17.3%; p < 0.001). Non-white patients were more likely to experience delay to surgery for medical reasons (14.8% vs 12.7%; p < 0.001), more likely to be treated with an intramedullary nail or a sliding hip screw (52.5% vs 45.1%; p < 0.001), and less likely to be mobilized by the day after surgery (74.3% vs 79.0%; p < 0.001). Mortality was higher among non-white inpatients (9.2% vs 8.4% for white), but was lower at one year after hip fracture (26.6% vs 30.3%). Conclusion. Our study identified serious problems with the quality of NHS ethnicity data. Despite this, we have shown that there is complex variation in case-mix and
Traumatic hip dislocation is a rare injury in orthopaedic practice and typically occures in high energy trauma. The goal of this study was to analyze
An increased prevalence of osteoarthritis (OA) in post-menopausal women has led to the suggestion that hormonal factors may play a role in the pathogenesis. This study aims to examine if undergoing a hysterectomy, both with retention and removal of ovaries, predisposes women to OA and secondly if the development is influenced by hormone replacement therapy (HRT). Statistical shape modelling (SSM) is a method of image analysis allowing for detection of subtle shape variation described by landmark points. Through the generation of linearly independent modes of variation, each image can be described in terms of numerical scores. 149 radiographs from female participants of the Osteoarthritis Initiative (OAI) were examined to compare
The purpose of this study was to identify changing
trends in the pattern of distribution of the type and demographics
of fractures of the hip in the elderly between 2001 and 2010. A
retrospective cross-sectional comparison was conducted between 179
fractures of the hip treated in 2001, 357 treated in 2006 and 454
treated in 2010. Patients aged <
60 years and those with pathological
and peri-prosthetic fractures were excluded. Fractures were classified
as stable extracapsular, unstable extracapsular or intracapsular
fractures. The mean age of the 179 patients (132 women (73.7%)) treated
in 2001 was 80.8 years (60 to 96), 81.8 years (61 to 101) in the
357 patients (251 women (70.3%)) treated in 2006 and 82.0 years
(61 to 102) in the 454 patients (321 women (70.1%)) treated in 2010
(p = 0.17). There was no difference in the gender distribution between
the three study years (p = 0.68). The main finding was a steep rise in the proportion of unstable
peritrochanteric fractures. The proportion of unstable extracapsular
fractures was 32% (n = 57) in 2001, 35% (n = 125) in 2006 and 45%
(n = 204) in 2010 (p <
0.001). This increase was not significant
in patients aged between 60 and 69 years (p = 0.84), marginally
significant in those aged between 70 and 79 years (p = 0.04) and
very significant in those aged >
80 years (p <
0.001). The proportion
of intracapsular fractures did not change (p = 0.94). At present, we face not only an increasing number of fractures
of the hip, but more demanding and complex fractures in older patients
than a decade ago. This study does not provide an explanation for
this change. Cite this article: