Rui Yuanyuan, Wu Bing, Huang Changbao, Li Qian
Department of Emergency, the First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China.
Department of Emergency, the Second People's Hospital of Lu'an City, Lu'an, Anhui, China.
Front Endocrinol (Lausanne). 2025 Mar 18;16:1487496. doi: 10.3389/fendo.2025.1487496. eCollection 2025.
Previous studies have shown a significant correlation between the stress-hyperglycemia ratio (SHR) and mortality. However, it is unknown whether the SHR has the same predictive value in severely ill patients. The main purpose of this research was to investigate the association between the SHR and all-cause mortality in critically ill patients with T2DM.
The data used in this study were derived from the Medical Information Mart for Intensive Care (MIMIC-IV) database. The primary outcome was 180-day mortality and the secondary outcomes were 28-day, 90-day and 365-day mortality. The main analytical methods included: Kaplan-Meier survival analysis, the COX proportional hazards model and restricted cubic splines.
A total of 993 patients were included. The 28-day, 90-day, 180-day, and 365-day mortalities reached 10.4%, 14.4%, 16.7% and 19.0%, respectively. Multivariate Cox proportional hazards analysis revealed that the elevated SHR was significantly related to 28-day, 90-day and 180-day all-cause mortality even after cofounder adjustment. Restricted cubic spline analysis revealed a nonlinear association between the SHR and the risk of 28-day (p for nonlinear=0.014), 90-day (p for nonlinear=0.007), 180-day (p for nonlinear=0.001) and 365-day (p for nonlinear=0.003) all-cause mortality.
SHR is significantly associated with 28-day, 90-day and 180-day all-cause mortality in critically ill patients with T2DM. This may help us identify patients at higher risk of death early.
先前的研究表明应激性高血糖比值(SHR)与死亡率之间存在显著相关性。然而,尚不清楚SHR在重症患者中是否具有相同的预测价值。本研究的主要目的是探讨SHR与2型糖尿病重症患者全因死亡率之间的关联。
本研究使用的数据来自重症监护医学信息数据库(MIMIC-IV)。主要结局是180天死亡率,次要结局是28天、90天和365天死亡率。主要分析方法包括:Kaplan-Meier生存分析、COX比例风险模型和限制性立方样条。
共纳入993例患者。28天、90天、180天和365天死亡率分别达到10.4%、14.4%、16.7%和19.0%。多变量COX比例风险分析显示,即使在调整混杂因素后,升高的SHR仍与28天、90天和180天全因死亡率显著相关。限制性立方样条分析显示,SHR与28天(非线性p=0.014)、90天(非线性p=0.007)、180天(非线性p=0.001)和365天(非线性p=0.003)全因死亡率风险之间存在非线性关联。
SHR与2型糖尿病重症患者28天、90天和180天全因死亡率显著相关。这可能有助于我们早期识别死亡风险较高的患者。