陕西地区股骨上段骨折风险阈值研究
Study of the risk threshold of proximal femur fractures in Shanxi province
  
DOI:10.3969/j.issn.1006.7108.2013.07.004
中文关键词:  股骨上段载荷  骨密度(BMD)  股骨上段几何形态  双能X线吸收测定(DEXA)  股骨上段骨折
英文关键词:Proximal femur loading configuration  Bone mineral density  Proximal femur geometry  Dual energy X-ray absorptiometry(DEXA)  Proximal femur fracture
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作者单位
朱文艺* 王坤正 刘凯 王瑞 洪刚 郭子城 1.首都医科大学北京朝阳医院(京西院区)骨科北京100043
2.西安交通大学附属第二医院骨科西安710004 
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中文摘要:
      目的 找出最佳的预测老年人群股骨上段骨折风险的方法。方法 利用双能X线吸收仪(DEXA)和其他工具,测量30具尸体骨右侧股骨上段的骨密度、几何形态以及股骨上段极限强度。然后,通过物理公式分析摔倒时股骨上段的受力情况。结果 (1)女性各项参数多数低于男性。(2)股骨颈骨密度与股骨上段载荷之间的相关性最佳( r2 = 0.807 ),推导出预测股骨上段骨折风险回归方程。(3)股骨颈宽度与股骨上段极限强度的相关性较好。(4)推导出骨折风险阂值。结论 (1)陕西地区老年人股骨上段骨折发生率较低,与体型小导致摔倒时的暴力低有关。(2)股骨颈骨密度为较好的骨折风险预测指标。与几何形态结合可提高预测能力。(3)通过骨折风险阂值公式早期预防骨质疏松骨折的发生。
英文摘要:
      Objective To investigate the optimal approach to predict the risk of proximal femur fractures in the elderly patients. Methods Thirty cadavers were included in this study. Bone mineral density of the right proximal femur was measured using dual energy X-ray absorptiometry (DEXA) and other instruments. The femoral geometry was carefully measured. The maximum loading configuration of the proximal femur was also measured. Then the stress of the proximal femur at the moment of sideway fall was analyzed using physical formula. Results Most parameters of the female were lower than those of the male. BMD of the femoral neck had the strongest correlation with the proximal femur loading configuration(r2=0. 807).And the risk correlation formula of the proximal femoral fractures was derived. The femoral neck width had good correlation with the maximum loading configuration of the proximal femur. The possible threshold of fractures was also derived. Conclusion The incidence of the femoral neck fractures in the elderly patients in Shaanxi province is low,and it is tightly related to little violence when short-figured people falling down. BMD of the femoral neck is the best factor to indicate the risk of fractures. Femoral neck BMD combined with geometry improve the ability to predict fracture risk. The occurrence of osteoporotic fractures can be prevented using the derived risk threshold formula of fractures.
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