胰岛素C与糖尿病患者高血压风险之间的关联:一个多队列横截面研究
Ye Kuang1, Jia Wang1, Yang Wang1
1Department of Clinical Laboratory, Yan'an Hospital Affiliated to Kunming Medical University, No. 245 East Renmin Road, Kunming 650051, China.
iScience
|July 21, 2025
概括
血清囊C (CysC) 是糖尿病患者高血压的关键预测因子. 这一发现有助于早期识别高心血管风险的个体.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 内分泌学 在内分泌学.
- 心脏病学 心脏病学
背景情况:
- 糖尿病与高血压 (DM + HTN) 显著增加心血管风险.
- 对于DM+HTN联合状况的预测因子尚未完全理解.
- 早期识别有风险的个体对于预防心血管事件至关重要.
研究的目的:
- 确定糖尿病患者高血压发展的新型预测因子.
- 开发和验证DM+HTN的风险预测模型,包括已识别的预测因素.
- 评估开发的风险预测模型的临床实用性.
主要方法:
- 在三个队列中分析了5210名糖尿病患者的数据.
- 单变量和多变量逻辑回归分析以确定风险因素.
- 开发一种风险预测模型,包括血清囊素C (CysC) 和其他共同变量.
- 模型性能评估使用接收机操作特征 (ROC) 曲线,校准曲线和决策曲线分析 (DCA).
- 使用受限立方线分析探索非线性关系.
- 使用10个机器学习算法进行验证,并使用SHapley添加式扩展 (SHAP) 进行解释.
主要成果:
- 血清囊素C (CysC) 被确定为DM+HTN的独立风险因素.
- 结合CysC的风险预测模型显示出良好的预测性能和临床实用性.
- 观察到CysC水平与DM+HTN风险之间存在非线性关系,风险高于0.94 mg/L.
- 机器学习算法和SHAP分析进一步支持了该模型的预测能力和可解释性.
结论:
- 血清囊素C是预测糖尿病患者高血压的有价值生物标志物.
- 基于CysC的风险预测模型可以帮助临床医生早期识别高风险个体.
- 该模型促进了及时的干预策略,以减轻与DM + HTN相关的心血管风险.
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