血清脂蛋白和高密度脂蛋白胆固醇与糖尿病病有关:从机器学习角度的证据
Rui-Huan Gao1, Boyang Liu2, Ying Yang1
1Department of Clinical Laboratory, Zhongnan Hospital of Wuhan University, Wuhan, Hubei Province, 430071, People's Republic of China.
概括
血清脂蛋白 (Lp) 是糖尿病病 (DN) 的风险因素,而高密度脂蛋白胆固醇 (HDL-C) 是保护性的. 使用尿蛋白的决策树模型预测了2型糖尿病患者的DN.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 内分泌学 在内分泌学.
- 心血管医学 心血管医学
背景情况:
- 糖尿病病 (DN) 是2型糖尿病 (T2DM) 的严重并发症.
- 脱脂症,包括脂质蛋白 (Lp) 和高密度脂质蛋白胆固醇 (HDL-C) 的异常水平,与T2DM中的心血管问题有关.
- 在DN病变发生过程中Lp(a) 和HDL-C的具体作用需要进一步阐明.
研究的目的:
- 调查血清Lp(a) 和HDL-C水平之间的关联以及T2DM患者中DN的存在.
- 确定与DN,Lp(a) 和HDL-C相关的关键临床指标.
- 使用机器学习技术开发DN的预测模型.
主要方法:
- 一项涉及T2DM患者 (n=211) 和没有 (n=217) DN. 的横截面研究.
- 随机森林分类,以确定特征对DN风险因素的重要性.
- 对Lp,HDL-C和顶级临床指标之间的相关性分析.
- 使用独立测试数据开发和评估决策树模型.
主要成果:
- 与T2DM组相比,DN组表现出明显更高的Lp(a) 水平 (p < 0.001) 和较低的HDL-C水平 (p = 0.028).
- 鉴定出Lp (a) 是一种危险因素,而HDL-C 是一种DN的保护因素.
- 最重要的预测因素包括尿中的白蛋白 (uALB),尿中的白蛋白与肌素的比率 (uACR),囊素C和肌素.
- 一个结合前10个特征的决策树模型,uALB为31.1 mg/L,平均AUC为0.874.
结论:
- 血清Lp(a) 和HDL-C水平与T2DM患者的DN显著相关.
- 尿蛋白是DN的一个关键预测因子.
- 经过验证的决策树模型可以帮助预测DN风险.
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