首页> 美国卫生研究院文献>Journal of Bone and Mineral Research >Prediction of Incident Hip Fracture Risk by Femur Geometry Variables Measured by Hip Structural Analysis in the Study of Osteoporotic Fractures
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Prediction of Incident Hip Fracture Risk by Femur Geometry Variables Measured by Hip Structural Analysis in the Study of Osteoporotic Fractures

机译:骨质疏松性骨折研究中使用髋部结构分析测量的股骨几何变量预测髋部骨折风险

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摘要

The role of bone tissue's geometric distribution in hip fracture risk requires full evaluation in large population-based datasets. We tested whether section modulus, a geometric index of bending strength, predicted hip fracture better than BMD. Among 7474 women from the Study of Osteoporotic Fractures (SOF) with hip DXA scans at baseline, there were 635 incident hip fractures recorded over 13 yr. Hip structural analysis software was used to derive variables from the DXA scans at the narrow neck (NN), intertrochanter (IT), and shaft (S) regions. Associations of derived structural variables with hip fracture were assessed using Cox proportional hazard modeling. Hip fracture prediction was assessed using the C-index concordance statistic. Incident hip fracture cases had larger neck-shaft angles, larger subperiosteal and estimated endosteal diameters, greater distances from lateral cortical margin to center of mass (lateral distance), and higher estimated buckling ratios (p < 0.0001 for each). Areal BMD, cross-sectional area, cross-sectional moment of inertia, section modulus, estimated cortical thickness, and centroid position were all lower in hip fracture cases (p < 0.044). In hip fracture prediction using NN region parameters, estimated cortical thickness, areal BMD, and estimated buckling ratio were equivalent (C-index = 0.72; 95% CI, 0.70, 0.74), but section modulus performed less well (C-index = 0.61; 95% CI, 0.58, 0.63; p < 0.0001 for difference). In multivariable models combining hip structural analysis variables and age, effects of bone dimensions (i.e., lateral distance, subperiosteal diameter, and estimated endosteal width) were interchangeable, whereas age and neck-shaft angle were independent predictors. Several parsimonious multivariable models that were prognostically equivalent for the NN region were obtained combining a measure of width, a measure of mass, age, and neck-shaft angle (BMD is a ratio of mass to width in the NN region; C-index = 0.77; 95% CI, 0.75, 0.79). Trochanteric fractures were best predicted by analysis of the IT region. Because section modulus failed to predict hip fracture risk as well as areal BMD, the thinner cortices and wider bones among those who fractured may imply that simple failure in bending is not the usual event in fracture. Fracture might require initiation (e.g., by localized crushing or buckling of the lateral cortex).
机译:骨组织的几何分布在髋部骨折风险中的作用需要在基于大型人群的数据集中进行全面评估。我们测试了截面模量(弯曲强度的几何指标)是否比BMD更好地预测了髋部骨折。在基线时进行髋部DXA扫描的骨质疏松性骨折研究(SOF)的7474名女性中,有13年以上记录了635例髋部骨折。髋关节结构分析软件用于从DXA扫描中的狭窄颈部(NN),转子间(IT)和轴(S)区域得出变量。使用Cox比例风险模型评估派生的结构变量与髋部骨折的关联。使用C指数一致性统计评估髋部骨折的预测。髋关节骨折病例的颈轴角度更大,骨膜下和骨内膜直径更大,皮层外侧边缘到质心的距离(侧向距离)更大,估计的屈曲比更高(每个p <0.0001)。髋部骨折病例的骨密度,横截面积,横截面惯性矩,横截面模量,估计的皮质厚度和质心位置均较低(p <0.044)。在使用NN区域参数进行的髋部骨折预测中,估计的皮质厚度,面积BMD和估计的屈曲比是等效的(C指数= 0.72; 95%CI,0.70、0.74),但是截面模量表现不佳(C指数= 0.61) ; 95%CI,0.58,0.63; p <0.0001(差异)。在结合髋部结构分析变量和年龄的多变量模型中,骨骼尺寸(即侧向距离,骨膜下直径和估计的骨内膜宽度)的影响是可以互换的,而年龄和颈轴角度是独立的预测因子。结合宽度的量度,质量,年龄和颈轴角的量度(BMD是NN区域中的质量与宽度之比; C指数= 0.77; 95%CI,0.75,0.79)。股骨转子骨折最好通过IT区域分析来预测。由于截面模量无法预测髋部骨折的风险以及BMD的面积,因此骨折者中较薄的皮质和较宽的骨骼可能意味着简单的弯曲失败并不是骨折的常见事件。骨折可能需要引发(例如,通过局部挤压或外侧皮质弯曲)。

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