Combined assessment of stress hyperglycemia ratio and glycemic variability to predict all-cause mortality in critically ill patients with atherosclerotic cardiovascular diseases across different glucose metabolic states: an observational cohort study with machine learning

被引：0

作者：

Fuxu Wang ^{[1
]}

Yu Guo ^{[2
]}

Yuru Tang ^{[1
]}

Shuangmei Zhao ^{[1
]}

Kaige Xuan ^{[1
]}

Zhi Mao ^{[3
]}

Ruogu Lu ^{[4
]}

Rongyao Hou ^{[5
]}

Xiaoyan Zhu ^{[1
]}

机构：

[1] The Affiliated Hospital of Qingdao University,Department of Critical Care Medicine

[2] The Affiliated Hospital of Qingdao University,Department of Neurology

[3] The First Medical Center of PLA General Hospital,Department of Critical Care Medicine

[4] Chinese PLA General Hospital,Medical Innovation Research Department

[5] The Affiliated Hiser Hospital of Qingdao University,Department of Neurology

来源：

关键词：

Atherosclerotic cardiovascular disease; Stress hyperglycemia ratio; Glycemic variability; MIMIC-IV database; Machine learning;

D O I：

10.1186/s12933-025-02762-0

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摘要：

引用