使用人类参数来预测没有糖尿病患者的胰岛素耐药性
Jiajun Liu1,2, Xueshan Jin3, Ziyi Feng1,2
1The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Scientific reports
|September 13, 2024
概括
周长 (TC) 与胰岛素抵抗 (IR) 有负相关性,这表明它可能是非糖尿病人群中IR的新型预测因子. 这一发现与BMI和WC等其他人类测量方法形成鲜明对比.
科学领域:
- 代谢健康 代谢健康
- 临床评估 临床评估
- 人类测量学 人类测量学.
背景情况:
- 人类测量参数对于评估高血压,2型糖尿病和心血管疾病等疾病至关重要.
- 有限的研究存在,比较各种人类指标及其与胰岛素抵抗 (IR) 的关联.
研究的目的:
- 调查六个人类指标 (BMI,CC,AC,TC,WC,WHtR) 和IR之间的关系.
- 使用ROC分析,比较这些参数对IR的预测强度.
主要方法:
- 胰岛素耐药的恒温模型评估 (HOMA-IR) 用于量化IR.
- 进行了加权线性回归和逻辑回归分析.
- 接收机运行特征 (ROC) 曲线分析比较了不同人类参数的预测性能.
主要成果:
- BMI,CC,AC,TC和WC与IR相关;WHtR没有.
- 在调整后,BMI,AC和WC与IR呈现正相关性,而TC呈现负相关性.
- 较大的TC与IR风险降低有关,BMI和WC显示出最高的预测准确性 (AUC~0.78).
结论:
- 周长 (TC) 与非糖尿病人的IR负相关,这是一个新发现.
- 在一般人群中,TC可能成为IR的新临床预测因子,特别是在没有糖尿病的人群中.
- BMI和WC仍然是IR的强有力的指标,在预测价值方面可比.
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