SHR与心血管疾病重症患者的死亡率之间的关联:回顾性分析和机器学习方法
Wanlu Zhou1, Junxi Liao2, Ting Wu2
1Department of Cardiovascular Medicine, The third Xiangya Hospital, Central South University, No.138 Tongzipo Road, Yuelu District, Changsha, 410008, Hunan Province, China.
Diabetology & metabolic syndrome
|October 28, 2025
概括
压力高血糖比率 (SHR) 与危急心血管疾病 (CVD) 患者的死亡率较高有关. 这种衡量葡萄糖代谢的方法显示出作为疾病严重程度指标的前景.
科学领域:
- 关键护理医学 关键护理医学
- 心血管疾病研究研究
- 代谢综合征研究 代谢综合征研究
背景情况:
- 压力高血糖比率 (SHR) 是一种新兴的生物标志物,用于重症监护中的疾病严重程度.
- 它与危急心血管疾病 (CVD) 患者的不良结果的关联需要进一步调查.
研究的目的:
- 评估SHR与心血管疾病重症患者的死亡率之间的关系.
- 评估SHR在这个患者队列中对不良结果的预测价值.
主要方法:
- 从MIMIC-IV数据库中分析了来自1913名严重心血管疾病患者的临床数据.
- 使用了受限制立方支线 (RCS) 回归,考克斯比例危险模型和卡普兰-梅尔生存分析.
- 开发并验证了机器学习 (ML) 预测模型,使用SHAP分析评估SHR的作用.
主要成果:
- 在SHR和死亡风险之间观察到显著的正线性关联.
- 较高的SHR水平始终与重症心血管疾病患者的死亡率增加有关.
- 机器学习模型,特别是XGBoost,显示出强大的预测性能,SHR是关键预测因素.
结论:
- SHR是患有心血管疾病的重症患者死亡率的重要独立预测因素.
- 在这种高风险人群中,SHR显示出作为一个有价值的预后指标的潜力,得到了基于ML的模型的支持.
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