There is an ongoing revolution in the use of data within orthopaedics and medicine in general, with an imperative for surgeons to be involved from the bottom up and better define the data collection culture. The use of registries plays a major role in the development of “big data” in orthopaedics. There are multiple examples that are already set up and running, both those inspired and set up by clinicians or those where the main stakeholders may lay people, with some input from clinicians. The British Limb Reconstruction society is no exception, with registries for lengthening nails and pilon fractures due to roll out imminently. The BLRS has tasked this years BOA clinical leadership fellow to investigate the current state of registries among the specialist orthopaedic societies. In particular, comparison of the already well established registries and national audits with the development of registry projects in the smaller societies. The issues of funding, consent, infrastructure and governance each infer particular challenges when translating the methods of the larger registries to the needs and resources of a smaller group. We have aimed to consider these challenges in relation to the set-up of the BLRS registries in order to better understand the potential future pitfalls and opportunities.
The aim of this study was to investigate the association between fracture displacement and survivorship of the native hip joint without conversion to a total hip arthroplasty (THA), and to determine predictors for conversion to THA in patients treated nonoperatively for acetabular fractures. A multicentre cross-sectional study was performed in 170 patients who were treated nonoperatively for an acetabular fracture in three level 1 trauma centres. Using the post-injury diagnostic CT scan, the maximum gap and step-off values in the weightbearing dome were digitally measured by two trauma surgeons. Native hip survival was reported using Kaplan-Meier curves. Predictors for conversion to THA were determined using Cox regression analysis.Aims
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