首页|期刊导航|世界急诊医学杂志(英文)|Stress-hyperglycemia ratio and glycemic variability predict severity and mortality in sepsis-associated acute respiratory distress syndrome
Stress-hyperglycemia ratio and glycemic variability predict severity and mortality in sepsis-associated acute respiratory distress syndrome
Hui Chen Yaqun Tang Wenqiang Tao Meiling Huang Wei Zhong Fen Liu Kejian Qian Yuanhua Lu Songjie Bai Yang Li Tao Wang Long Cai Xinyi Yang Yang Fang Jianguo Wan
世界急诊医学杂志(英文)2026,Vol.17Issue(3):250-257,8.
世界急诊医学杂志(英文)2026,Vol.17Issue(3):250-257,8.DOI:10.5847/wjem.j.1920-8642.2026.055
Stress-hyperglycemia ratio and glycemic variability predict severity and mortality in sepsis-associated acute respiratory distress syndrome
Stress-hyperglycemia ratio and glycemic variability predict severity and mortality in sepsis-associated acute respiratory distress syndrome
摘要
关键词
Sepsis/Acute respiratory distress syndrome/Stress-hyperglycemia ratio/Glycemic variability/Machine learningKey words
Sepsis/Acute respiratory distress syndrome/Stress-hyperglycemia ratio/Glycemic variability/Machine learning引用本文复制引用
Hui Chen,Yaqun Tang,Wenqiang Tao,Meiling Huang,Wei Zhong,Fen Liu,Kejian Qian,Yuanhua Lu,Songjie Bai,Yang Li,Tao Wang,Long Cai,Xinyi Yang,Yang Fang,Jianguo Wan..Stress-hyperglycemia ratio and glycemic variability predict severity and mortality in sepsis-associated acute respiratory distress syndrome[J].世界急诊医学杂志(英文),2026,17(3):250-257,8.基金项目
This study was supported by the National Natural Science Foundation of China(82472233),the Special Project of the National Natural Science Foundation of China(82241035),the Jiangxi Province Double Thousand Talent Plan(jxsq2023201040),the National Natural Science Foundation of China(82502624,to SJ Bai),and the Natural Science Foundation of Jiangxi Province(20252BAC200111,to SJ Bai). (82472233)