2型糖尿病的预后营养指数和糖尿病外围神经病变:一种机器学习方法
Ya Wu1, Danmeng Dong2, Yang Liu3
1Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China.
Nutrition & metabolism
|March 26, 2025
概括
较低的预后营养指数 (PNI) 水平与糖尿病外围神经病变 (DPN) 风险增加和2型糖尿病患者神经功能低下有关. 营养状况对于DPN管理至关重要.
科学领域:
- 内分泌学 在内分泌学.
- 神经学 神经学
- 临床营养学 临床营养学
背景情况:
- 预后营养指数 (PNI) 是营养状况的指标.
- PNI已与各种糖尿病并发症有关.
- PNI与糖尿病外围神经病变 (DPN) 之间的关联尚未得到充分证实.
研究的目的:
- 在2型糖尿病 (T2D) 患者中研究PNI和DPN之间的关系.
- 利用机器学习 (ML) 方法,根据PNI和其他临床因素预测DPN风险.
主要方法:
- 机器学习模型 (Random Forest和XGBoost) 被开发用于预测625名T2D患者的DPN.
- 沙普利添加式扩展 (SHAP) 用于确定DPN的关键预测因子.
- 多变量后勤回归分析了PNI四分位数与DPN风险之间的关联.
主要成果:
- 两种ML模型都在预测DPN方面表现出高准确度.
- 通过SHAP分析,较低的PNI被确定为DPN的重要风险因素.
- 最低PNI四分位数的患者患DPN的风险高3.27倍,神经功能受损.
结论:
- 降低PNI水平与DPN的风险增加和周围神经功能减弱有关.
- 根据PNI指出的营养状况在DPN的发展和进展中起着至关重要的作用.
- 需要进一步的研究,包括纵向研究,以证实这些发现并探索治疗意义.
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