Fedulovs Aleksejs, Janevica Jana, Kruzmane Lelde, Sokolovska Jelizaveta
Faculty of Medicine and Life Sciences, University of Latvia, Riga LV-1004, Latvia.
Outpatient Department, Pauls Stradins Clinical University Hospital, Riga LV-1002, Latvia.
Biomed Rep. 2024 Dec 2;22(2):23. doi: 10.3892/br.2024.1901. eCollection 2025 Feb.
Continuous glucose monitoring (CGM) has emerged as a superior method to glycated hemoglobin (HbA1c) monitoring for glycemic control assessment in type 1 diabetes (T1D). The association between CGM parameters and diabetic kidney disease (DKD) has not been extensively researched. The aim of the present study was to compare CGM metrics between patients with stable and progressive DKD and T1D. A cross-sectional study was performed with 75 patients with T1D, of which 28 had progressive DKD, defined as an estimated glomerular filtration rate decrease of ≥3 ml/min/year or an increased albuminuria stage over the median follow-up time of 7.46 (6.50-8.16) years. FreeStyle Libre ProiQ Sensors were used for CGM. Insulin sensitivity was calculated according to the estimated glucose disposal rate (eGDR) formula. The results revealed that as compared with subjects with stable DKD, individuals with progressive DKD exhibited a higher average glucose level (P=0.03), spent more time above the target range (P=0.05), less time in time in range (TIR; P=0.03), had a higher median estimated HbA1c (P=0.02) and glucose management indicator (P=0.03), as well as a longer duration of hypoglycemic events (P=0.03). There were no differences in compliance levels and recognition of hypoglycemia between the DKD study groups. Differences in correlation patterns between CGM parameters in patients with stable and progressive DKD were observed. For example, glucose variability was significantly positively correlated with TIR in subjects with DKD (Ρ=0.390; P=0.04) but not in individuals without DKD. The progression of DKD was statistically significantly associated with several CGM parameters in multivariate logistic regression models. Collectively, associations between CGM metrics and DKD status were demonstrated in patients with T1D. The findings of the present study indicate the necessity for regular CGM in patients with progressive DKD for improvement of their glycemic control and DKD outcomes but also call for the development of a personalized approach to CGM data interpretation and establishing therapeutic targets in these subjects.
连续血糖监测(CGM)已成为评估1型糖尿病(T1D)血糖控制的一种优于糖化血红蛋白(HbA1c)监测的方法。CGM参数与糖尿病肾病(DKD)之间的关联尚未得到广泛研究。本研究的目的是比较稳定型和进展型DKD合并T1D患者的CGM指标。对75例T1D患者进行了一项横断面研究,其中28例患有进展型DKD,定义为估计肾小球滤过率下降≥3 ml/min/年或在7.46(6.50 - 8.16)年的中位随访时间内蛋白尿分期增加。使用FreeStyle Libre ProiQ传感器进行CGM。根据估计的葡萄糖处置率(eGDR)公式计算胰岛素敏感性。结果显示,与稳定型DKD患者相比,进展型DKD患者的平均血糖水平更高(P = 0.03),高于目标范围的时间更多(P = 0.05),处于血糖范围内的时间(TIR)更少(P = 0.03),估计HbA1c中位数更高(P = 0.02)和血糖管理指标更高(P = 0.03),以及低血糖事件持续时间更长(P = 0.03)。DKD研究组之间在低血糖的依从性水平和识别方面没有差异。观察到稳定型和进展型DKD患者CGM参数之间的相关模式存在差异。例如,在DKD患者中,血糖变异性与TIR显著正相关(Ρ = 0.390;P = 0.04),但在无DKD的个体中并非如此。在多因素逻辑回归模型中,DKD的进展与几个CGM参数在统计学上显著相关。总体而言,在T1D患者中证实了CGM指标与DKD状态之间的关联。本研究结果表明,进展型DKD患者需要定期进行CGM以改善其血糖控制和DKD结局,但也需要制定个性化方法来解读CGM数据并为这些患者建立治疗目标。