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Updated: Nov 13, 2025

Method and Instrumented Fixture for Femoral Fracture Testing in a Sideways Fall-on-the-Hip Position
Published on: August 17, 2017
Epidemiology of proximal femoral fractures
Henrik C Bäcker1, Chia H Wu2, Mauro Maniglio3
1Department of Orthopaedic Surgery and Traumatology, Charité Berlin, UniversityHospital Berlin, Berlin, Germany.
Introduction:
With increasing age, the incidence of proximal femoral fractures increases steadily. Although the different treatments are investigated frequently, little is known about the seasonal variation and predisposing factors. The purpose of this study is to investigate the epidemiology, the impact of femoroacetabular impingement, as well as the presence of osteoarthritis.
Methods:
We performed a retrospective review of all patients with pertrochanteric, lateral and medial femoral neck fractures between 2012 and 2019. Inclusion criteria consisted of patients older than 18 years old who presented with isolated proximal femoral fractures without any congenital or hereditary deformity. For analysis, we assessed the demographics, season at time of accident, Kellgren-Lawrence score and corner edge (CE) angle.
Results:
In total, 187 patients were identified at a mean age of 75.1 ± 12.9 years old. Females consisted of 54.5% of this cohort. Most commonly, patients tend to present in winter with pertrochanteric fractures whereas no seasonal variation was found for medial femoral neck fractures. Significant correlations between season and age (regression coefficient -0.050 ± 0.021; p < 0.05) were identified. In medial neck fractures, the Gardner score was lower and Kellgren-Lawrence score higher for both female than males (p < 0.05). Patients with lateral neck fractures were significantly younger at 68.6 ± 12.5 years old (p < 0.05). In pertrochanteric fractures, the Kellgren-Lawrence score was significantly higher at 2.1 ± 0.8 (p < 0.05) with higher CE angle at 43.0 ± 7.6° (p = 0.14).
Conclusion:
With increasing incidences of proximal femoral fractures, it is essential to recognize potential risk factors. This allows for development of new guidelines and algorithm that can aid in diagnosis, prevention, and education for patients.
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