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Aims

Surgical treatment of hip fracture is challenging; the bone is porotic and fixation failure can be catastrophic. Novel implants are available which may yield superior clinical outcomes. This study compared the clinical effectiveness of the novel X-Bolt Hip System (XHS) with the sliding hip screw (SHS) for the treatment of fragility hip fractures.

Methods

We conducted a multicentre, superiority, randomized controlled trial. Patients aged 60 years and older with a trochanteric hip fracture were recruited in ten acute UK NHS hospitals. Participants were randomly allocated to fixation of their fracture with XHS or SHS. A total of 1,128 participants were randomized with 564 participants allocated to each group. Participants and outcome assessors were blind to treatment allocation. The primary outcome was the EuroQol five-dimension five-level health status (EQ-5D-5L) utility at four months. The minimum clinically important difference in utility was pre-specified at 0.075. Secondary outcomes were EQ-5D-5L utility at 12 months, mortality, residential status, mobility, revision surgery, and radiological measures.


The Bone & Joint Journal
Vol. 98-B, Issue 3 | Pages 301 - 306
1 Mar 2016
Reidy MJ Faulkner A Shitole B Clift B

Aims

The long-term functional outcome of total hip arthroplasty (THA) performed by trainees is not known. A multicentre retrospective study of 879 THAs was undertaken to investigate any differences in outcome between those performed by trainee surgeons and consultants.

Patients and Methods

A total of 879 patients with a mean age of 69.5 years (37 to 94) were included in the study; 584 THAs (66.4%) were undertaken by consultants, 138 (15.7%) by junior trainees and 148 (16.8%) by senior trainees. Patients were scored using the Harris Hip Score (HHS) pre-operatively and at one, three, five, seven and ten years post-operatively. Surgical outcome, complications and survival were compared between groups. The effect of supervision was determined by comparing supervised and unsupervised trainees. A primary univariate analysis was used to select variables for inclusion in multivariate analysis.