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改善风险评估:髋部骨折病例与对照的髋部几何形态、骨矿物质分布及骨强度。EPOS研究。欧洲骨质疏松症前瞻性研究

Improving risk assessment: hip geometry, bone mineral distribution and bone strength in hip fracture cases and controls. The EPOS study. European Prospective Osteoporosis Study.

作者信息

Crabtree N J, Kroger H, Martin A, Pols H A P, Lorenc R, Nijs J, Stepan J J, Falch J A, Miazgowski T, Grazio S, Raptou P, Adams J, Collings A, Khaw K T, Rushton N, Lunt M, Dixon A K, Reeve J

机构信息

University Department of Medicine, University of Cambridge, UK.

出版信息

Osteoporos Int. 2002 Jan;13(1):48-54. doi: 10.1007/s198-002-8337-y.

Abstract

Hip geometry and bone mineral density (BMD) have previously been shown to relate independently to hip fracture risk. Our objective was to determine by how much hip geometric data improved the identification of hip fracture. Lunar pencil beam scans of the proximal femur were obtained. Geometric and densitometric values from 800 female controls aged 60 years or more (from population samples which were participants in the European Prospective Osteoporosis Study, EPOS) were compared with data from 68 female hip fracture patients aged over 60 years who were scanned within 4 weeks of a contralateral hip fracture. We used Lunar DPX 'beta' versions of hip strength analysis (HSA) and hip axis length (HAL) applied to DPX(L) data. Compressive stress (Cstress), calculated by the HSA software to occur as a result of a typical fall on the greater trochanter, HAL, body mass index (BMI: weight/(height)2) and age were considered alongside femoral neck BMD (FN-BMD, g/cm2) as potential predictors of fracture. Logistic regression was used to generate predictors of fracture initially from FN-BMD. Next age, Cstress (as the most discriminating HSA-derived parameter), HAL and BMI were added to the model as potentially independent predictors. It was not necessary to include both HAL and Cstress in the logistic models, so the entire data set was examined without excluding the subjects missing HAL measurements. Cstress combined with age and BMI provided significantly better prediction of fracture than FN-BMD used alone as is current practice, judged by comparing areas under receiver operating characteristic (ROC) curves (p<0.001, deLong's test). At a specificity of 80%, sensitivity in identification was improved from 66% to 81%. Identifying women at high risk of hip fracture is thus likely to be substantially enhanced by combining bone density with age, simple anthropometry and data on the structural geometry of the hip. HSA might prove to be a valuable enhancement of DXA densitometry in clinical practice and its use could justify a more proactive approach to identifying women at high risk of hip fracture in the community.

摘要

髋部几何结构和骨密度(BMD)先前已被证明与髋部骨折风险独立相关。我们的目标是确定髋部几何数据在多大程度上改善了对髋部骨折的识别。获取了近端股骨的Lunar笔形束扫描图像。将800名60岁及以上女性对照(来自参与欧洲前瞻性骨质疏松研究EPOS的人群样本)的几何和密度测量值与68名60岁以上女性髋部骨折患者的数据进行比较,这些患者在对侧髋部骨折后4周内进行了扫描。我们使用了应用于DPX(L)数据的Lunar DPX“beta”版本的髋部强度分析(HSA)和髋轴长度(HAL)。由HSA软件计算得出的因大转子典型跌倒而产生的压缩应力(Cstress)、HAL、体重指数(BMI:体重/(身高)²)和年龄,与股骨颈骨密度(FN-BMD,g/cm²)一起被视为骨折的潜在预测指标。逻辑回归最初用于从FN-BMD生成骨折预测指标。接下来,将年龄、Cstress(作为最具区分性的HSA衍生参数)、HAL和BMI作为潜在的独立预测指标添加到模型中。在逻辑模型中没有必要同时纳入HAL和Cstress,因此在不排除缺少HAL测量值的受试者的情况下对整个数据集进行了检查。通过比较受试者操作特征(ROC)曲线下的面积判断(p<0.001,德龙检验),与目前单独使用FN-BMD的做法相比,Cstress与年龄和BMI相结合能显著更好地预测骨折。在特异性为80%时,识别的敏感性从66%提高到了81%。因此,将骨密度与年龄、简单人体测量学和髋部结构几何数据相结合,很可能会大大提高识别髋部骨折高危女性的能力。HSA在临床实践中可能被证明是双能X线吸收法骨密度测定的一种有价值的补充,其应用可以为在社区中更积极主动地识别髋部骨折高危女性提供依据。

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