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The Bone & Joint Journal
Vol. 104-B, Issue 7 | Pages 884 - 893
1 Jul 2022
Kjærvik C Gjertsen J Stensland E Saltyte-Benth J Soereide O

Aims

This study aimed to identify risk factors (patient, healthcare system, and socioeconomic) for mortality after hip fractures and estimate their relative importance. Further, we aimed to elucidate mortality and survival patterns following fractures and the duration of excess mortality.

Methods

Data on 37,394 hip fractures in the Norwegian Hip Fracture Register from January 2014 to December 2018 were linked to data from the Norwegian Patient Registry, Statistics Norway, and characteristics of acute care hospitals. Cox regression analysis was performed to estimate risk factors associated with mortality. The Wald statistic was used to estimate and illustrate relative importance of risk factors, which were categorized in modifiable (healthcare-related) and non-modifiable (patient-related and socioeconomic). We calculated standardized mortality ratios (SMRs) comparing deaths among hip fracture patients to expected deaths in a standardized reference population.


The Bone & Joint Journal
Vol. 105-B, Issue 9 | Pages 1020 - 1029
1 Sep 2023
Trouwborst NM ten Duis K Banierink H Doornberg JN van Helden SH Hermans E van Lieshout EMM Nijveldt R Tromp T Stirler VMA Verhofstad MHJ de Vries JPPM Wijffels MME Reininga IHF IJpma FFA

Aims

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.

Methods

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.