The impact of concomitant injuries in patients with proximal femoral fractures has rarely been studied. To date, the few studies published have been mostly single-centre research focusing on the influence of upper limb fractures. A retrospective cohort analysis was, therefore, conducted to identify the impact and distribution of concomitant injuries in patients with proximal femoral fractures. A retrospective, multicentre registry-based study was undertaken. Between 1 January 2016 and 31 December 2019, data for 24,919 patients from 100 hospitals were collected in the Registry for Geriatric Trauma. This information was queried and patient groups with and without concomitant injury were compared using linear and logistic regression models. In addition, we analyzed the influence of the different types of additional injuries.Aims
Methods
Second-generation high-carbon CoCrMo-alloy metal-on-metal total hip arthroplasty (THA) was introduced in the late 1980s following reports of early loosening, impingement, pronounced wear, and hypersensitivity in the first-generation metal-on-metal articulations. There has been inconsistent data that specifically addresses the clinical performance and longevity of second-generation metal-on-metal THA. The purpose of this study was to evaluate the survival of second-generation metal-on-metal primary THA and to assess the influence of demographic factors on implant survival in a large patient cohort. One thousand two hundred and seventy second-generation 28 mm metal-on-metal primary THA in 1121 patients were performed at one institution from 1994 to 2004. According to the International Documentation and Evaluation System patients were followed routinely at one year, two years and every five years thereafter. Clinical and radiographic outcome data was prospectively recorded using a hospital joint registry. At a mean follow-up of 6.8 years postoperatively, the probability of survival of THA was estimated using the method of Kaplan and Meier. Relative risk factors for implant failure that included age, gender, BMI, type of implant fixation and size of implant components were calculated using the Cox proportional-hazards model.Background
Methods
