Ni Jiaying, Han Wenshuo, Wang Yaxin, Yu Jiamin, Lu Wei, Wang Yufei, Ma Xiaojing, Lu Jingyi, Zhou Jian
Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine; Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, China.
J Diabetes. 2025 Mar;17(3):e70073. doi: 10.1111/1753-0407.70073.
Among the new glucose metrics derived from continuous glucose monitoring, the concept of time in tight range (TITR) has gained increasing attention. We aimed to assess the association between TITR and traditional glycemic indicators, such as glycated albumin (GA).
A total of 310 patients with type 2 diabetes on a stable glucose-lowering regimen over the previous 3 months were enrolled. TITR and time in range (TIR) were calculated using continuous glucose monitoring data collected over a minimum of 5 days. Spearman correlation analysis was performed to assess the relationships between traditional glycemic indicators, including GA and HbA1c, with TITR and TIR. Receiver operating characteristic curves were used to evaluate the predictive value of GA for TITR > 50% and TIR > 70%.
The median levels of GA and HbA1c were 15.6% (14.0%, 17.3%) and 6.5% (6.1%, 7.1%), respectively. Median TITR and TIR were 70.0% (56.0%, 81.0%) and 91.0% (84.0%, 96.8%), respectively. Spearman correlation analysis showed a moderate negative relationship between GA and both TITR and TIR. The optimal GA cutoff for identifying either TITR > 50% or TIR > 70% was 17.4%. Moreover, combining GA with fasting plasma glucose or 2-h postprandial glucose significantly enhanced the ability to identify TITR > 50%, achieving performance comparable to the combination of HbA1c and plasma glucose.
In patients with type 2 diabetes, a GA cutoff of 17.4% effectively identifies TITR > 50%.
在从连续血糖监测中得出的新血糖指标中,血糖处于严格控制范围时间(TITR)的概念越来越受到关注。我们旨在评估TITR与传统血糖指标(如糖化白蛋白(GA))之间的关联。
共纳入310例在过去3个月内采用稳定降糖方案的2型糖尿病患者。使用至少5天收集的连续血糖监测数据计算TITR和血糖处于正常范围时间(TIR)。进行Spearman相关性分析,以评估包括GA和糖化血红蛋白(HbA1c)在内的传统血糖指标与TITR和TIR之间的关系。采用受试者工作特征曲线评估GA对TITR>50%和TIR>70%的预测价值。
GA和HbA1c的中位数水平分别为15.6%(14.0%,17.3%)和6.5%(6.1%,7.1%)。TITR和TIR的中位数分别为70.0%(56.0%,81.0%)和91.0%(84.0%,96.8%)。Spearman相关性分析显示GA与TITR和TIR均呈中度负相关。识别TITR>50%或TIR>70%的最佳GA临界值为17.4%。此外,将GA与空腹血糖或餐后2小时血糖相结合可显著提高识别TITR>50%的能力,其性能与HbA1c和血糖相结合相当。
在2型糖尿病患者中,GA临界值为17.4%可有效识别TITR>50%。