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The Bone & Joint Journal
Vol. 104-B, Issue 12 | Pages 1369 - 1378
1 Dec 2022
van Rijckevorsel VAJIM de Jong L Verhofstad MHJ Roukema GR

Aims

Factors associated with high mortality rates in geriatric hip fracture patients are frequently unmodifiable. Time to surgery, however, might be a modifiable factor of interest to optimize clinical outcomes after hip fracture surgery. This study aims to determine the influence of postponement of surgery due to non-medical reasons on clinical outcomes in acute hip fracture surgery.

Methods

This observational cohort study enrolled consecutively admitted patients with a proximal femoral fracture, for which surgery was performed between 1 January 2018 and 11 January 2021 in two level II trauma teaching hospitals. Patients with medical indications to postpone surgery were excluded. A total of 1,803 patients were included, of whom 1,428 had surgery < 24 hours and 375 had surgery ≥ 24 hours after admission.


The Bone & Joint Journal
Vol. 99-B, Issue 8 | Pages 1088 - 1094
1 Aug 2017
de Jong L Klem TMAL Kuijper TM Roukema GR

Aims

Surgical site infection can be a devastating complication of hemiarthroplasty of the hip, when performed in elderly patients with a displaced fracture of the femoral neck. It results in a prolonged stay in hospital, a poor outcome and increased costs. Many studies have identified risk and prognostic factors for deep infection. However, most have combined the rates of infection following total hip arthroplasty and internal fixation as well as hemiarthroplasty, despite the fact that they are different entities. The aim of this study was to clarify the risk and prognostic factors causing deep infection after hemiarthroplasty alone.

Patients and Methods

Data were extracted from a prospective hip fracture database and completed by retrospective review of the hospital records. A total of 916 patients undergoing a hemiarthroplasty in two level II trauma teaching hospitals between 01 January 2011 and 01 May 2016 were included. We analysed the potential peri-operative risk factors with univariable and multivariable logistic regression analysis.