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新加坡老年中国女性各种骨质疏松风险指数的验证。

Validation of various osteoporosis risk indices in elderly Chinese females in Singapore.

作者信息

Chan S-P, Teo C C, Ng S A, Goh N, Tan C, Deurenberg-Yap M

机构信息

National Disease Registries Office, Research & Information Management Division, Health Promotion Board, 3 Second Hospital Avenue, Singapore 168937, Singapore.

出版信息

Osteoporos Int. 2006;17(8):1182-8. doi: 10.1007/s00198-005-0051-4. Epub 2006 May 13.

Abstract

INTRODUCTION

This study aimed to compare the sensitivity and specificity of various published indices for identifying elderly Chinese females at risk of osteoporosis in Singapore.

METHODS

The indices considered were the Simple Calculated Osteoporosis Risk Estimation (SCORE), the Osteoporosis Risk Assessment Instrument (ORAI), the Age Bulk One or Never Estrogens (ABONE), body weight (WEIGHT), and the Osteoporosis Self-Assessment Tool for Asians (OSTA). Altogether, 135 postmenopausal Chinese female subjects aged 55 years and older participated in the study, and their bone mineral density (BMD) was measured with dual-energy x-ray absorptiometry. Subjects were classified as osteoporotic if their femoral neck BMD T-score was -2.5 or lower. Receiver operating characteristic (ROC) curves were generated to determine the indices' cut-off points, sensitivity, and specificity.

RESULTS

OSTA had the highest discriminatory power, with an estimated area under the ROC curve of 0.82. This was followed by SCORE (0.80), WEIGHT (0.78), ORAI (0.76), and ABONE (0.70). At the cut-off point of -2, OSTA achieved sensitivity and specificity of 91% and 59%, respectively.

CONCLUSION

The study showed that OSTA is an effective index for identifying postmenopausal women at risk for osteoporosis.

摘要

引言

本研究旨在比较各种已发表的指数在识别新加坡有骨质疏松风险的中国老年女性方面的敏感性和特异性。

方法

所考虑的指数包括简易计算骨质疏松风险评估(SCORE)、骨质疏松风险评估工具(ORAI)、年龄体重一或从未使用雌激素(ABONE)、体重(WEIGHT)以及亚洲人骨质疏松自我评估工具(OSTA)。共有135名年龄在55岁及以上的绝经后中国女性受试者参与了该研究,她们的骨密度(BMD)通过双能X线吸收法进行测量。如果受试者的股骨颈骨密度T值为-2.5或更低,则被分类为骨质疏松症患者。生成受试者工作特征(ROC)曲线以确定各指数的临界点、敏感性和特异性。

结果

OSTA具有最高的鉴别能力,其ROC曲线下估计面积为0.82。其次是SCORE(0.80)、WEIGHT(0.78)、ORAI(0.76)和ABONE(0.70)。在临界点为-2时,OSTA的敏感性和特异性分别达到91%和59%。

结论

该研究表明,OSTA是识别有骨质疏松风险的绝经后女性的有效指数。

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