非传统的脂质参数与糖尿病前期风险之间的非线性关系:基于中国成年人的大型回顾性研究
Mingkang Li1, Wenkang Zhang1, Minhao Zhang1
1Department of Cardiology, Zhongda Hospital, Southeast University, 87 Dingjiaqiao, Nanjing, 210009, Jiangsu, China.
Cardiovascular diabetology
|January 6, 2024
概括
不正常的脂质代谢增加了糖尿病前期风险. 非传统的脂质参数,特别是脂蛋白组合指数 (LCI),与传统标志物相比,显示出糖尿病前期发病的优越预测价值.
科学领域:
- 内分泌学和新陈代谢学
- 心血管健康 心血管健康
- 公共卫生 公共卫生
背景情况:
- 脂质代谢异常是糖尿病前期的已知危险因素.
- 关于用于预糖尿病风险预测的脂质参数的研究有限.
- 传统和非传统的脂质参数在糖尿病前期的作用仍未得到充分研究.
研究的目的:
- 综合评估12个脂质参数与糖尿病前期风险之间的关联.
- 评估糖尿病前期传统和非传统脂质参数的诊断价值.
- 为了确定糖尿病前期发病的关键脂质预测因子.
主要方法:
- 对100309名中国成年人的横截面研究,基线葡萄糖正常.
- 分析了12个传统和非传统的脂质参数.
- 采用了多变量逻辑回归,平滑曲线拟合和两部分线性回归模型.
- 接收器操作特征 (ROC) 曲线评估了预测值.
主要成果:
- 12.31%的参与者患上了糖尿病前期.
- 高密度脂蛋白胆固醇 (HDL-C) 和低密度脂蛋白胆固醇与糖尿病前期风险有负相关性.
- 总胆固醇,甘油三 (TG),脂蛋白组合指数 (LCI),血动脉质指数 (AIP),非HDL-C和其他与糖尿病前期风险正相关的指数.
- 在特定子组 (年轻人,女性,糖尿病家族史,非肥胖) 中,LCI,TG和AIP的预测值更高.
结论:
- 在非传统的脂质参数和糖尿病前期风险之间存在非线性关联.
- 与传统参数相比,非传统的脂质参数为糖尿病前期提供了更好的预测价值.
- 脂蛋白组合指数 (LCI) 是糖尿病前期发病的最有效预测指标.
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