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Updated: Jan 30, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
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压力高血糖比率和血红蛋白糖化指数对重症患者死亡风险的预测值:使用基于机器学习的预测建模对MIMIC-IV数据库进行比较后期分析

Wanlu Zhou1,2, Min Zheng1, Ting Wu1

  • 1Department of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.

BMJ open
|January 28, 2026
PubMed
概括

压力高血糖比率 (SHR) 和血红蛋白糖化指数 (HGI) 与危急病患者的死亡率有关. SHR对死亡风险具有更强的预测能力,有助于患者分层.

关键词:
成人的重症监护和重症监护.死亡率 死亡率 死亡率其他代谢,例如: 铁, 波尔菲里亚风险因素 风险因素

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