Outcome Analysis of Reverse Oblique Trochanteric Fractures Treated with Proximal Femoral Nail
Journal Title: Journal of Bone and Joint Diseases - Year 2018, Vol 0, Issue 0
Abstract
Introduction: Trochantric fracture is more common in the elderly patients, the aim of treatment should be prevention of malunion, and early mobilization. Reverse oblique trochanteric fractures are complicated by malunion and delayed or nonunion. The factors responsible for these complications in reverse oblique trochanteric fractures are high stress concentration, predominance of cortical bone and difficulties in getting biomechanically sound reduction because of comminution and intense concentration of deforming forces. Materials and Methods: A total of thirty adult patients of peritrochanteric factures of femur satisfying the inclusion criteria who were treated with ORIF/CRIF Proximal Femoral nail fixation. All patients were followed up till two years. At every visit patient was assessed clinically with modified Harris Hip Scoring system and radiologically with x-ray of the involved hip with femur was done to assess fracture union and implant bone interaction. Results and Conclusion: The mean age of the patient in our study is 57.7 years. Most common fracture pattern in our study group is A3.3, which is about 40 percent followed by A3.2 (33 percent) and A3.1 (27 percent). Mean time for radiological union was 14.57 weeks in our study. The functional outcome was assessed was on the basis of modified Harris hip score; the mean modified Harris hip score increased from 61.96 at 12 weeks to 89.20 at two years. Intramedullary nailing with proximal femoral nails consisting of two proximal lag screws is a good option in the treatment of reverse obliquity intertrochanteric fractures if attention is given to ensure correct technique during nail insertion. The fracture has to be reduced before passing the intramedullary nail.
Authors and Affiliations
Ghanshyam Narayan Khare, Rupesh Jung Belbase, Saurabh Singh, Sanjay Yadav, Ramvilas Nag, Amit Kumar, Rohit Amar
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