Sheng Xia, Li Ting, Hu Yi, Xiong Cheng-Shun, Hu Ling
Department of Endocrine, The First Hospital of NanChang City, Nanchang, Jiangxi, 330008, People's Republic of China.
Diabetes Metab Syndr Obes. 2023 Aug 16;16:2447-2456. doi: 10.2147/DMSO.S418224. eCollection 2023.
To discuss the relationship between time in range (TIR) which is deprived of the FGMS and the risk of diabetic vascular complications and to provide a theoretical foundation for the clinical application of TIR and other FGMS-deprived indexes.
Patients with T2DM who wore the FGMS sensor continuously were enrolled. Relevant indexes such as TIR, time below range (TBR), time above range (TAR), a standard deviation of blood glucose (SDBG), coefficient of variation of blood glucose (CV), and mean amplitude of glycemic excursion (MAGE) generated by the FGMS were recorded, and the risk of diabetic vascular complications were followed up for one year. The TIR was measured by continuous glucose monitoring at baseline, and patients were grouped according to TIR every 20%. Finally, the Cox proportional hazards regression model was used to estimate the association of different levels of TIR with different rates of diabetic vascular complications.
TIR was negatively correlated with HbA1C, CV, SDBG, and amplitude of glycemic excursion (MV), wherein, the lower the TIR, the higher the HbA1C, CV, SDBG, and MV. TIR in the diabetic microvascular complication was significantly lower than that in the non-microvascular complication group, and the difference was statistically significant. TIR <40% was identified as a risk factor for DN, DPN, and DR according to the risk assessment. The mean TAR in the DN group was significantly higher than that in the non-DN group. TAR, CV, SD, MAGE, and HbA1C in the DR group were significantly higher than those in the non-DR group. TAR, ABG, CV, SD, MAGE, and HbA1C in the DPN group were significantly higher than those in the non-DPN group.
The relationships between the TIR and the prevalence and risk of diabetic vascular complications and the HbA1C may be negative. Other CGM-deprived indexes such as CV and MV should be integrated into glycemic control and diabetes complication prediction.
探讨排除持续葡萄糖监测系统(FGMS)的血糖达标时间(TIR)与糖尿病血管并发症风险之间的关系,为TIR及其他排除FGMS的指标在临床应用中提供理论依据。
纳入连续佩戴FGMS传感器的2型糖尿病患者。记录FGMS生成的TIR、血糖低于范围时间(TBR)、血糖高于范围时间(TAR)、血糖标准差(SDBG)、血糖变异系数(CV)、血糖波动平均幅度(MAGE)等相关指标,并对糖尿病血管并发症风险进行1年随访。在基线时通过连续血糖监测测量TIR,并根据TIR每20%进行分组。最后,采用Cox比例风险回归模型估计不同水平的TIR与不同糖尿病血管并发症发生率之间的关联。
TIR与糖化血红蛋白(HbA1C)、CV、SDBG及血糖波动幅度(MV)呈负相关,其中TIR越低,HbA1C、CV、SDBG及MV越高。糖尿病微血管并发症组的TIR显著低于非微血管并发症组,差异有统计学意义。根据风险评估,TIR<40%被确定为糖尿病肾病(DN)、糖尿病周围神经病变(DPN)和糖尿病视网膜病变(DR)的危险因素。DN组的平均TAR显著高于非DN组。DR组的TAR、CV、SD、MAGE及HbA1C显著高于非DR组。DPN组的TAR、ABG、CV、SD、MAGE及HbA1C显著高于非DPN组。
TIR与糖尿病血管并发症的患病率和风险以及HbA1C之间的关系可能为负相关。CV和MV等其他排除连续血糖监测的指标应纳入血糖控制和糖尿病并发症预测中。