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基于饮食营养素的模型预测糖尿病患者的全因和心血管死亡率
Fang Wang1, Yukang Mao1, Jinyu Sun1
1Center for Cardiovascular Disease, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, 242# Guangji Road, Suzhou, 215000, Jiangsu, China.
Scientific reports
|February 7, 2025
概括
食纤维和摄入量与糖尿病患者的长期死亡率降低有关. 这些营养素可以用于预测模型,以指导饮食选择,以更好地管理糖尿病并降低死亡风险.
科学领域:
- 营养流行病学 营养流行病学
- 糖尿病研究研究 糖尿病研究
- 生物统计学和预测建模
背景情况:
- 饮食干预对于管理糖尿病 (DM) 预后至关重要.
- 缺乏对饮食营养素和DM的长期死亡风险的系统分析.
- 对患有DM的人来说,指导日常饮食决策需要了解营养物质与死亡率的关联.
研究的目的:
- 开发DM患者长期死亡率的预测模型.
- 为了确定与减少长期死亡事件相关的特定食营养素.
- 为患有DM的人提供基于证据的饮食建议.
主要方法:
- 使用NHANES数据 (1999-2018) 对5060名患有DM的参与者进行了回顾性队列研究.
- 拉索回归和随机森林 (RF) 算法用于识别与死亡率相关的关键饮食因素.
- 使用ROC曲线,校准图表和DCA评估的风险预测的诺莫格拉姆模型;用于关联分析的RCS模型.
主要成果:
- 纳米图模型包含关键的饮食营养素,对所有原因和心血管死亡率具有显著的预测价值.
- 在 LASSO 和 RF 模型中,和被确定为常见的预测营养素.
- 限制立方线 (RCS) 分析显示,饮食纤维和摄入量与DM患者的长期死亡率之间存在负面关联.
结论:
- 饮食模式与DM患者的死亡结果有显著的关联.
- 基于饮食营养素开发的诺莫格拉姆模型有效预测DM的长期死亡率.
- 饮食纤维和的较高摄入量与DM患者全因和心血管死亡的风险降低有关.
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