Liu Jing, Shi Yue, Duan Hangyu, Shi Xiujie, Zhang Yu, Zhao Mingming
Department of Nephrology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Beijing University of Chinese Medicine, Beijing, China.
Ren Fail. 2025 Dec;47(1):2499232. doi: 10.1080/0886022X.2025.2499232. Epub 2025 May 13.
There have been no investigations on the relationship between hemoglobin glycation index HGI) and poor prognosis in patients with acute kidney injury (AKI).
Patients were enrolled from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database. The HGI was calculated using a linear regression model fitted to glycosylated hemoglobin and fasting plasma glucose (FPG). Kaplan-Meier survival analysis and Cox proportional hazards regression analysis were performed based on HGI quartiles to determine the independent association between HGI and mortality risk. A restricted cubic spline (RCS) was employed to assess the potential nonlinear relationship between HGI and mortality risk. A two-piecewise linear regression model was developed to identify the threshold effect. Additionally, a linear regression model was applied to evaluate the association between HGI and the length of hospital stays.
A total of 3684 patients with AKI were included in this study. Among them, 486 patients died within 28 days, and 673 patients died within 90 days. Multivariate Cox regression analysis identified HGI as an independent risk factor for both 28-day mortality (hazard ratio [HR], 1.65 [95% CI 1.26 to 2.16], < 0.001) and 90-day mortality (HR, 1.45 [95% CI 1.16 to 1.82], < 0.001) in AKI. The RCS analysis revealed a significant L-shaped association between HGI and both 28-day (nonlinear < 0.001) and 90-day mortality (nonlinear < 0.001). For 28-day mortality, the inflection point was 1.09 (HR = 0.72, 95% CI: 0.65 to 0.805). For 90-day mortality, the inflection point was 1.14 (HR = 0.76, 95% CI: 0.69 to 0.84). Notably, the association between HGI and outcomes was more significant in nondiabetic patients ( < 0.05). Additionally, HGI was found to be significantly and inversely associated with the length of hospital stays.
In patients with AKI, a low HGI is an independent risk factor for 28-day and 90-day mortality, exhibiting an L-shaped association. HGI may serve as a potential predictor of mortality risk.
目前尚无关于急性肾损伤(AKI)患者糖化血红蛋白指数(HGI)与不良预后之间关系的研究。
从重症监护医学信息数据库-IV(MIMIC-IV)中纳入患者。使用拟合糖化血红蛋白和空腹血糖(FPG)的线性回归模型计算HGI。基于HGI四分位数进行Kaplan-Meier生存分析和Cox比例风险回归分析,以确定HGI与死亡风险之间的独立关联。采用受限立方样条(RCS)评估HGI与死亡风险之间的潜在非线性关系。建立两段式线性回归模型以识别阈值效应。此外,应用线性回归模型评估HGI与住院时间之间的关联。
本研究共纳入3684例AKI患者。其中,486例患者在28天内死亡,673例患者在90天内死亡。多变量Cox回归分析确定HGI是AKI患者28天死亡率(风险比[HR],1.65[95%CI 1.26至2.16],<0.001)和90天死亡率(HR,1.45[95%CI 1.16至1.82],<0.001)的独立危险因素。RCS分析显示HGI与28天(非线性<0.001)和90天死亡率(非线性<0.001)之间均存在显著的L形关联。对于28天死亡率,拐点为1.09(HR = 0.72,95%CI:0.65至0.805)。对于90天死亡率,拐点为1.14(HR = 0.76,95%CI:0.69至0.84)。值得注意的是,在非糖尿病患者中,HGI与预后的关联更为显著(<0.05)。此外,发现HGI与住院时间呈显著负相关。
在AKI患者中,低HGI是28天和90天死亡率的独立危险因素,呈现L形关联。HGI可能作为死亡风险的潜在预测指标。