Periprosthetic femoral fractures after total hip arthroplasty: An algorithm of treatment.

BACKGROUND

Periprosthetic femoral fractures (PFFs) following total hip arthroplasty are becoming more prevalent and management of these fractures is often demanding. The surgeon has to assess in detail implant loosening, bone loss and type of fracture. The aim of the study is to identify the suitability of a treatment algorithm, based on the Vancouver classification that takes into account the activity and comorbidity of each patient.

PATIENTS AND

METHODS

This study retrospectively assessed 38 patients who were surgically treated for a PFF around total hip arthroplasty between 2010 and 2014. All fractures were classified according to the Vancouver classification. There were 14 type B1, 8 type B2, 10 type B3 and 6 type C fractures. The data examined were age, sex, mechanism of injury, type of fracture, ASA score, type of surgery and complications. Radiographic evaluations were performed at 1, 3, 6 months and every 12 months thereafter. Clinical results were measured using the Merle-d'Aubigné-Postel score. Treatment options included an ORIF in 22 patients and a stem revision in 16 patients, with or without plates or supplemental cortical strut grafting when required.

RESULTS

The mean duration of follow-up was 3.1 years, mean age was 71.2 years and six patients (15.7%) died. Union was obtained in all patients in a mean of 16 weeks. Three patients required a surgical revision: one for stem loosening and two for re-fracture after a new fall. One patient had varus malunion of the femur. The mean postoperative Merle-d'Aubigné-Postel score was 13.2. Thirteen patients showed excellent results, 14 had a good result, three had a fair outcome and two had a poor result. Twenty patients returned to their baseline mobility status, while 12 patients had either a decline in their ambulatory status or a need for additional assistive devices.

CONCLUSIONS

PFF remains a serious complication of hip arthroplasty that is accompanied by high morbidity and mortality rates. This study shows how patients' comorbidities and functional demand can direct the proper treatment. This is a suitable algorithm for the treatment of PFF, which can provide satisfactory results in terms of pain and function.