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结合OSTA和BMR来预测中国人口的骨质疏松症
Jiaxin Zhao1, Yulin Wang1, Shuo Wang2
1The Second Affiliated Hospital Of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China.
Journal of orthopaedic surgery and research
|November 19, 2024
概括
结合骨质疏松症自我评估 (OSTA) 和基础代谢率 (BMR) 有效地选骨质疏松症. 与单独使用OSTA或BMR相比,这种综合方法可以提高预测准确度.
科学领域:
- 老年学是一门学科.
- 骨健康 骨健康 骨健康
- 医学诊断 医学诊断 医学诊断
背景情况:
- 骨质疏松症是老年人残疾和自主权丧失的主要原因.
- 准确的骨质疏松症预测对于及时干预和管理至关重要.
研究的目的:
- 为了描述骨质疏松症的患病率.
- 评估结合OSTA和BMR用于骨质疏松症预测的可行性.
主要方法:
- 这是一项对1435名参与者 (1300名女性,135名男性) 的横截面研究.
- 统计分析包括斯皮尔曼相关性,简单和多重线性回归.
- 接收器操作特征 (ROC) 曲线评估了集成的OSTA和BMR疗效.
主要成果:
- 组合的OSTA和BMR变量 (W) 显示了58.63%的灵敏度和70.90%的特异性.
- 分开的OSTA和BMR产生了较低的灵敏度 (47.70%和55.34%) 和特异性 (63.80%和69.80%).
结论:
- 集成的OSTA和BMR配方是一种有效的骨质疏松症查方法.
- 结合OSTA和BMR可以提高骨质疏松症预测的准确性.
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