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体内结构测量和负荷/强度比在确定绝经后妇女前臂骨折风险中的作用。

Contribution of in vivo structural measurements and load/strength ratios to the determination of forearm fracture risk in postmenopausal women.

作者信息

Melton L Joseph, Riggs B Lawrence, van Lenthe G Harry, Achenbach Sara J, Müller Ralph, Bouxsein Mary L, Amin Shreyasee, Atkinson Elizabeth J, Khosla Sundeep

机构信息

Division of Epidemology, Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, Minnesota 55905, USA.

出版信息

J Bone Miner Res. 2007 Sep;22(9):1442-8. doi: 10.1359/jbmr.070514.

Abstract

UNLABELLED

Bone structure, strength and load-strength ratios contribute to forearm fracture risk independently of areal BMD.

INTRODUCTION

Technological and conceptual advances provide new opportunities for evaluating the contribution of bone density, structure, and strength to the pathogenesis of distal forearm fractures.

MATERIALS AND METHODS

From an age-sratified random sample of Rochester, MN, women, we compared 18 with a distal forearm fracture (cases) to 18 age-matched women with no osteoporotic fracture (controls). High-resolution pQCT was used to assess volumetric BMD (vBMD), geometry, and microstructure at the ultradistal radius, the site of Colles' fractures. Failure loads in the radius were estimated from microfinite element (microFE) models derived from pQCT. Differences between case and control women were assessed, and the risk of fracture associated with each variable was estimated by logistic regression analysis.

RESULTS

Given similar heights, estimated loading in a fall on the outstretched arm was the same in cases and control. However, women with forearm fractures had inferior vBMD, geometry, microstructure, and estimated bone strength. Relative risks for the strongest determinant of fracture in each of the five main variable categories were as follows: BMD (total vBMD: OR per SD change, 4.2; 95% CI, 1.4-12), geometry (cortical thickness: OR, 4.0; 95% CI, 1.4-11), microstructure (trabecular number: OR, 2.3; 95% CI, 1.02-5.1), and strength (axial rigidity: OR, 3.8; 95% CI, 1.4-10); the factor-of-risk (fall load/microFE failure load) was 24 % greater (worse) in cases (OR, 3.0; 95% CI, 1.2-7.5). Areas under ROC curves ranged from 0.72 to 0.82 for these parameters.

CONCLUSIONS

Bone geometry, microstructure, and strength contribute to forearm fractures, as does BMD, and these additional determinants of risk promise greater insights into fracture pathogenesis.

摘要

未标注

骨结构、强度及负荷 - 强度比独立于骨面积密度对前臂骨折风险产生影响。

引言

技术和概念上的进步为评估骨密度、结构及强度在前臂远端骨折发病机制中的作用提供了新机会。

材料与方法

从明尼苏达州罗切斯特市按年龄分层的随机抽样女性中,我们将18例前臂远端骨折患者(病例组)与18例年龄匹配且无骨质疏松性骨折的女性(对照组)进行比较。使用高分辨率外周定量CT评估桡骨最远端(Colles骨折部位)的体积骨密度(vBMD)、几何结构及微观结构。通过由外周定量CT生成的微观有限元(microFE)模型估算桡骨的破坏负荷。评估病例组和对照组女性之间的差异,并通过逻辑回归分析估算每个变量与骨折相关的风险。

结果

在身高相似的情况下,病例组和对照组伸展手臂跌倒时的估计负荷相同。然而,前臂骨折女性的vBMD、几何结构、微观结构及估计骨强度较差。五个主要变量类别中每个类别里骨折最强决定因素的相对风险如下:骨密度(总体vBMD:每标准差变化的OR值为4.2;95%可信区间为1.4 - 12)、几何结构(皮质厚度:OR值为4.0;95%可信区间为1.4 - 11)、微观结构(骨小梁数量:OR值为2.3;95%可信区间为1.02 - 5.1)以及强度(轴向刚度:OR值为3.8;95%可信区间为1.4 - 10);病例组的风险因素(跌倒负荷/微观有限元破坏负荷)高24%(更差)(OR值为3.0;95%可信区间为1.2 - 7.5)。这些参数的ROC曲线下面积范围为0.72至0.82。

结论

骨几何结构、微观结构及强度与骨密度一样,都会导致前臂骨折,这些额外的风险决定因素有望为骨折发病机制提供更深入的见解。

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