在女性的骨质疏松症查中做出指令决策的简单临床预测因素:一个横截面研究
Jirapong Leeyaphan1, Karn Rojjananukulpong2, Piyapong Intarasompun2
1Bamrasnaradura Infectious Diseases Institute, Department of Disease Control, Ministry of Public Health, 38 Talat Khwan, Mueang Nonthaburi, Nonthaburi, 11000, Thailand. lekortho@gmail.com.
这项研究发现,体重是女性骨质疏松症查最有效的简单预测因素,为体重,BMI和年龄提出了新的切断值,以帮助临床决策并提高诊断准确性.
科学领域:
- 老年学是一门学科.
- 骨质疏松症研究 骨质疏松症研究
- 诊断预测器的诊断预测
背景情况:
- 骨质疏松症查策略缺乏普遍标准化.
- 需要简单,高度准确的骨质疏松症诊断预测指标.
- 目前的查方法可以通过可访问的临床指标来改进.
研究的目的:
- 为了评估体重,体重指数 (BMI) 和骨质疏松症的年龄的诊断性能.
- 为这些指标在骨质疏松症查中提出和验证新的切割值.
- 确定骨质疏松症最有效的简单临床预测因子.
主要方法:
- 这是一项涉及1598名50岁以上的女性进行DXA扫描的横截面研究.
- 分析年龄,体重和BMI以开发诊断模型.
- 利用最大的Youden指数来建立预测器的新切割值.
主要成果:
- 提出的新截止值:体重<57.4公斤,BMI<23.8公斤/米2,年龄≥72岁.
- 重量切断显示了最高的诊断性能 (AUC = 0.664),显著超过BMI和年龄.
- 骨质疏松症组的平均年龄,体重和BMI与其他组相比显著不同.
结论:
- 体重被确定为女性骨质疏松症查最有效的临床预测因素.
- 关于体重,BMI和年龄的新建议的切断值可以帮助骨质疏松症查决策.
- 简单,容易获得的临床测量,如体重,可以提高骨质疏松症的诊断.
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