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Ex Vivo Evaluation of Hip Fracture Risk by Proximal Femur Geometry and Bone Mineral Density in Elderly Chinese Women.
Yang, Xiao-Jiang; Sang, Hong-Xun; Bai, Bo; Ma, Xiang-Yu; Xu, Chao; Lei, Wei; Zhang, Yang.
Afiliação
  • Yang XJ; Department of Orthopedic Surgery, Xijing Hospital, The Air Force Medical University, Xi'an, Shaanxi, China (mainland).
  • Sang HX; Department of Orthopedics, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, China (mainland).
  • Bai B; Department of Orthopedic Surgery, Xijing Hospital, The Air Force Medical University, Xi'an, Shaanxi, China (mainland).
  • Ma XY; Department of Orthopedic Surgery, Xijing Hospital, The Air Force Medical University, Xi'an, Shaanxi, China (mainland).
  • Xu C; Department of Orthopedic Surgery, Xijing Hospital, The Air Force Medical University, Xi'an, Shaanxi, China (mainland).
  • Lei W; Department of Orthopedic Surgery, Xijing Hospital, The Air Force Medical University, Xi'an, Shaanxi, China (mainland).
  • Zhang Y; Department of Orthopaedics, Xijing Hospital, Air Force Medical University, Xi'an, China (mainland).
Med Sci Monit ; 24: 7438-7443, 2018 Oct 18.
Article em En | MEDLINE | ID: mdl-30334549
ABSTRACT
BACKGROUND The incidence of hip fracture is steadily increasing. We aimed to establish a creative approach to precisely estimate the risk of hip fracture by exploring the relationship between hip fracture and bone mineral density (BMD)/femur geometry. MATERIAL AND METHODS Sixteen samples of cadaveric female proximal femora were randomly selected. Experiments were performed experimental measurement of the femoral neck BMD and geometric parameters (including neck length, neck diameter, head diameter, and neck-shaft angle). In addition, the experimental measurements contain the failure load, which represents the mechanical strength of the femoral neck, and we calculated the correlation coefficient among BMD, geometric parameters, and failure load. RESULTS Significant correlations were discovered between femoral mechanical properties and femoral neck BMD (r=0.792, r²=0.628, P<0.001), trochanteric BMD (r=0.749, r²=0.560, P=0.001), and head diameter (r=0.706, r²=0.499, P=0.002). Multiple linear regression analyses indicated that the best predictor of hip fracture was the combination of femoral neck BMD, head diameter, and neck diameter (r²=0.844, P<0.001). CONCLUSIONS The results confirmed that, compared with BMD alone, the combination of BMD and geometric parameters of proximal femur is a better estimation of hip fracture. The geometry of the proximal femur played an important role in assessing the biomechanical strength of femur. This method greatly assists in predicting the risk of hip fracture in clinical trials and will assist studies on why the incidence of hip fracture varies among races.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fêmur / Fraturas do Quadril Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Aged80 / Female / Humans / Male País como assunto: Asia Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fêmur / Fraturas do Quadril Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Aged80 / Female / Humans / Male País como assunto: Asia Idioma: En Ano de publicação: 2018 Tipo de documento: Article