Aims

This study aimed to evaluate the relationship between hip shape and mid-term function in Perthes’ disease. It also explored whether the modified three-group Stulberg classification can offer similar prognostic information to the five-group system.

Aims

This study explores the reported rate of surgical site infection (SSI) after hip fracture surgery in published studies concerning patients treated in the UK.

Aims

Hip fractures are associated with high morbidity, mortality, and costs. One strategy for improving outcomes is to incentivize hospitals to provide better quality of care. We aimed to determine whether a pay-for-performance initiative affected hip fracture outcomes in England by using Scotland, which did not participate in the scheme, as a control.

This study sought to determine the genetic contribution of Perthes' disease, using the world's largest twin-registry.

We extracted all twin pairs from the Danish Twin Registry (DTR) in which at least one individual had Perthes' Disease. The DTR captures every twin pair born alive in Denmark. Those with Perthes' disease were identified using health record linkage to the Danish Morbidity Record. Probandwise concordance was calculated to describe the likelihood that any given individual had LCPD if their co-twin was also diagnosed.

There were 81 twin pairs; 10 monozygotic (MZ), 51 dizygotic (DZ), and 20 unclassified (UZ). There was no association between birth weight and being the affected co-twin. Four pairs (two dizygotic and two unclassified) were concordant for LCPD, which is greater than would be expected assuming no familial aggregation. There were no concordant MZ twin pairs. The overall probandwise concordance was 0.09 (95% CI 0.01–0.18): 0.00 for the MZ, 0.08 (95% CI 0.00–0.18) for the DZ, and 0.18 (95% 0.00–0.40) for the UZ twin pairs.

This study found evidence of familial clustering in LCPD but did not demonstrate a genetic component. The absolute risk that a co-twin of an affected individual will develop LCPD is low, even in the case of MZ twin pairs.

The aim was to examine the descriptive epidemiology of Slipped Capital Femoral Epiphysis, with respect to geography and time.

We extracted all children with a diagnosis of Slipped Capital Femoral Epiphysis from the Clinical Practice Research Database between 1990 and 2014 (24 years). CPRD is the world's largest database of primary care, which encompasses 8% of the UK population. CPRD was linked to Hospital Episode Statistics, and a validation algorithm applied to maximise sensitivity and specificity of the cases finding methodology. Poisson confidence intervals were calculated, and poison regression used.

596 cases of SCFE were identified. The internal validation algorithm supported a SCFE diagnosis in 88% cases. The age and sex distribution of cases mirrored that in the literature, offering external validity to the cases identified. There was no significant change in the incidence of SCFE over the 24-year study period, with the overall incidence being 4.8 cases per 100,00 0–16 year olds. There was no significant geographic variation in SCFE within the UK. There was a positive association with rising socioeconomic deprivation (p<0.01). There was no seasonal variation in presentation.

This study found no evidence to support the common belief that SCFE incidence is increasing, and for the first time demonstrated an association with socioeconomic deprivation. The results are important for considering the feasibility of intervention studies, and offer insights into the disease aetiology.

Objectives

We wanted to investigate regional variations in the organisms reported to be causing peri-prosthetic infections and to report on prophylaxis regimens currently in use across England.