Jia Nan, Liu Xiao-Xi
Department of Neurology, Affiliated Hospital of Hebei University, Baoding, 071000, Hebei Province, China.
Sci Rep. 2025 Jul 2;15(1):23095. doi: 10.1038/s41598-025-07833-6.
The Hemoglobin Glycation Index (HGI) quantifies the discrepancy between observed and predicted glycated hemoglobin (HbA1c) levels, reflecting individual variations in glycation. Elevated HGI has been associated with adverse outcomes in various populations, but its prognostic significance in acute ischemic stroke (AIS) patients remains unclear. We conducted a retrospective cohort study using the MIMIC-IV 2.2 database, including 8,368 first-time ICU admissions diagnosed with AIS. 2,642 patients underwent HbA1c testing. Patients were stratified into tertiles: Q1 (HGI < - 0.56), Q2 (- 0.56 ≤ HGI ≤ 0.01), and Q3 (HGI > 0.01). Baseline characteristics, comorbidities, and clinical variables were compared across groups. Cox proportional hazards models assessed the association between HGI levels and all-cause mortality at 28 and 365 days. Subgroup analyses were performed to explore interactions with key variables. Restricted Cubic Spline (RCS) analysis was utilized to assess the nonlinear relationship between continuous HGI values and mortality risk. The cohort comprised 886 (Q1), 876 (Q2), and 880 (Q3) patients. Kaplan-Meier analysis showed that Q2 exhibited significantly higher 28-day and 365-day survival rates compared to Q1 and Q3 groups (P < 0.001). Cox models indicated that both Q1 and Q3 had elevated mortality risks compared to Q2 at 28 and 365 days. RCS plots revealed a nonlinear, U-shaped association between continuous HGI values and mortality risk at both 28 and 365 days. HGI is a significant prognostic factor in AIS patients, with both low and high HGI levels associated with increased mortality risk. These findings underscore the potential of HGI as a tool for risk stratification in AIS.
血红蛋白糖化指数(HGI)量化了观察到的糖化血红蛋白(HbA1c)水平与预测水平之间的差异,反映了糖化过程中的个体差异。HGI升高与不同人群的不良结局相关,但其在急性缺血性卒中(AIS)患者中的预后意义仍不明确。我们使用MIMIC-IV 2.2数据库进行了一项回顾性队列研究,纳入了8368例首次入住重症监护病房且诊断为AIS的患者。2642例患者接受了HbA1c检测。患者被分为三个三分位数组:Q1(HGI< - 0.56)、Q2(- 0.56≤HGI≤0.01)和Q3(HGI>0.01)。比较了各组的基线特征、合并症和临床变量。Cox比例风险模型评估了HGI水平与28天和365天全因死亡率之间的关联。进行亚组分析以探索与关键变量的相互作用。采用受限立方样条(RCS)分析评估连续HGI值与死亡风险之间的非线性关系。该队列包括886例(Q1)、876例(Q2)和880例(Q3)患者。Kaplan-Meier分析显示,与Q1和Q3组相比,Q2组在28天和365天的生存率显著更高(P<0.001)。Cox模型表明,在28天和365天时,与Q2组相比,Q1和Q3组的死亡风险均升高。RCS图显示,在28天和365天时,连续HGI值与死亡风险之间存在非线性的U型关联。HGI是AIS患者的一个重要预后因素,HGI水平过低和过高均与死亡风险增加相关。这些发现强调了HGI作为AIS风险分层工具的潜力。