在老年营养不良患者中开发和验证骨质疏松症nomogram临床预测模型:一个诊断准确性研究
Jiao Chen1, Chengxia Sun2, Chao Zhang3
1Experimental Research Center, Chinese Academy of Chinese Medicine, Beijing, China.
Medicine
|November 20, 2025
概括
这项研究开发了一种名谱来预测老年营养不良患者的骨质疏松症 (OP) 风险. 该模型准确识别高风险个体,有助于早期干预和改善患者的治疗结果.
科学领域:
- 老年医学 老年医学
- 营养科学 营养科学
- 放射学 放射学是一门学科.
背景情况:
- 骨质疏松症 (OP) 是老年人群的重大健康问题,特别是那些营养不良的人群.
- 早期识别OP风险对于及时干预和改善患者预后至关重要.
研究的目的:
- 开发和验证一个名目录模型,用于预测老年营养不良患者骨质疏松症的发病率.
- 在这个特定的患者群体中确定骨质疏松症的独立预测因子.
主要方法:
- 对381名老年营养不良患者的回顾性分析.
- 使用LASSO回归和多因素后勤回归开发一个名图.
- 使用AUC,校准曲线和决策曲线分析验证模型.
主要成果:
- 确定的主要预测因素包括老年营养风险指数,活动状况,高血压,2型糖尿病,血清,总胆固醇,甘油三,白蛋白和部和腰椎骨矿物质密度 (BMD).
- 该名录显示出优异的区分能力,训练组的AUC值为0.946,验证组的AUC值为0.963.
- 该模型显示出良好的适应性,校准性和临床实用性.
结论:
- 开发的诺米图谱是一种简单,高效和准确的工具,用于识别老年营养不良患者的骨质疏松风险.
- 这种预测模型可以帮助早期临床决策和干预,潜在地改善患者的预后.
- 建议在更大的多中心研究中进行进一步验证,以增强和更新模型.
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