建立基于饮食和生活方式的结石预测的诺莫格拉姆模型和评分系统
Fan Wei1,2, Mengjie Sun2, Ting Tang1,2
1Department of Urology Surgery, The People's Hospital of Xuancheng City, Xuancheng, China.
Medicine
|October 25, 2025
概括
这项研究开发了一种名图和评分系统,利用饮食和生活方式因素来预测结石风险. 该工具有效地识别高风险个体,有助于预防和减少复发.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 流行病学 流行病学
- 预防医学 预防医学
背景情况:
- 结石对健康造成重大负担.
- 需要有效的工具来评估基于可修改因素的结石风险.
研究的目的:
- 开发和验证一个名谱和评分系统,用于评估结石风险.
- 确定影响结石发育的关键饮食和生活方式因素.
主要方法:
- 在中国南部对6430个人的横截面研究.
- 使用了最小绝对收缩和选择回归以及多变量逻辑回归.
- 开发并验证了使用协同索引,ROC曲线和校准曲线的名ogram.
主要成果:
- 确定性别,年龄,饮水量,饮食,BMI,体力活动和家族史作为独立的风险因素.
- 诺米图表显示出很好的预测准确性 (C指数=0.759,AUC=0.762).
- 开发了一个4级风险评分系统,与增加的石头风险和大小相关.
结论:
- 开发的诺米克图和评分系统是评估结石风险的有效工具.
- 这些工具可以指导生活方式和饮食建议,以预防和减少复发.
- 这些发现支持个性化风险分层,用于结石管理.
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