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骨质疏松症自我评估工具(OST)在预测骨质疏松症中的性能评价综述。

Performance of Osteoporosis Self-Assessment Tool (OST) in Predicting Osteoporosis-A Review.

机构信息

Department of Pharmacology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, Cheras, Kuala Lumpur 56000, Malaysia.

出版信息

Int J Environ Res Public Health. 2018 Jul 9;15(7):1445. doi: 10.3390/ijerph15071445.

Abstract

Bone health screening plays a vital role in the early diagnosis and treatment of osteoporosis to prevent fragility fractures among the elderly and high-risk individuals. Dual-energy X-ray absorptiometry (DXA), which detects bone mineral density, is the gold standard in diagnosing osteoporosis but is not suitable for screening. Therefore, many screening tools have been developed to identify individuals at risk for osteoporosis and prioritize them for DXA scanning. The Osteoporosis Self-assessment Tool (OST) is among the first tools established to predict osteoporosis in postmenopausal women. It can identify the population at risk for osteoporosis, but its performance varies according to ethnicity, gender, and age. Thus, these factors should be considered to ensure the optimal use of OST worldwide. Overall, OST is a simple and economical screening tool to predict osteoporosis and it can help to optimize the use of DXA.

摘要

骨骼健康筛查在骨质疏松症的早期诊断和治疗中起着至关重要的作用,可预防老年人和高风险人群的脆性骨折。双能 X 射线吸收法(DXA)可检测骨密度,是诊断骨质疏松症的金标准,但不适合用于筛查。因此,已经开发了许多筛查工具来识别骨质疏松症高危人群,并优先对其进行 DXA 扫描。骨质疏松症自我评估工具(OST)是最早用于预测绝经后妇女骨质疏松症的工具之一。它可以识别骨质疏松症高危人群,但其性能因种族、性别和年龄而异。因此,应考虑这些因素,以确保 OST 在全球范围内的最佳使用。总的来说,OST 是一种简单且经济的骨质疏松症筛查工具,有助于优化 DXA 的使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f290/6068473/1f7566c093db/ijerph-15-01445-g001.jpg

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