IMPLANT SELECTION ALGORITHM FOR SURGICAL TREATMENT OF PROXIMAL FEMORAL FRACTURES

Abstract

The authors studied comparative functional results of treatment in 62 patients with proximal humerus fractures. Neer classification was used to select an implant for fracture fixation. Patients were divided into 3 groups according to fracture fixation: fixation with the plate invented by doctors in our clinic, AO plate and intramedullary locking nail.
The functional results of treatment were studied according to the Neer scale, taking into account the average score. The best results were achieved in Group I – the average score was 97, since this group included patients with two-fragment fractures of the proximal humerus. These are the simplest fractures, which cause minimal damage to soft tissues during making surgical approach, and bone fragments are not released, which has a positive effect on their subsequent union. The use of the Neer classification allows selection of the optimal implant for fixation of proximal humerus fractures.