Journal of Orthopedics & Bone Disorders (JOBD)

ISSN: 2577-297X

Thesis

Association of Hip Geometry with Proximal Femoral Fracture in Elderly Population

Authors: Padhya IG*, Acharya BM and Basnyat S

DOI: 10.23880/jobd-16000269

Abstract

Introduction: Hip fractures are a significant global health concern, particularly among the elderly population, with increasing incidence rates predicted in the coming decades. Although different factors like age-related osteoporosis, alcoholism, smoking, high BMI are established causes of hip fracture but none can fully explain the cause of hip fracture. Proximal hip geometry (HAL. FNAL, FNA, FHD, FND) may be associated with hip fracture and is under investigation with conflicting reports. Method: Our study is X-ray based prospective case-control study aiming to evaluate the association of hip geometry parameters with proximal femoral fractures in elderly population. We conducted study involving 102 subjects, including 34 cases with proximal femoral fractures and 68 controls. Various hip geometry parameters were calculated, tabulated and compared to see the difference in hip parameters among fractured and non-fractured group. Additionally, we calculated the mean and standard deviation among male and female subjects and compared between them Result: Our study revealed differences in HAL and FNAL between the case and control groups, suggesting their potential role as risk factors for proximal femoral fractures. However, no significant differences were observed in NSA, FHD, and FND between the two groups. Gender-wise analysis showed significant differences in HAL, FNAL, FHD, and FND between males and females, possibly due to variations in height among them. Conclusion: This study contributes to the understanding of hip fracture risk factors in the elderly population and underscores the importance of considering hip geometry parameters in fracture risk assessment. Larger studies are recommended to further validate these findings.

Keywords: Hip Geometry; Proximal Femoral Fracture; Elderly Population

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