Objective To investigate the correlation between glycemic variability such as time in range(TIR)and dia-betic foot(DF).Methods The study included 163 inpatients with T2DM who underwent prompt dynamic blood glucose monitoring at the Department of Endocrinology,the First Affliated Hospital of Bengbu Medical University between Janu-ary 2020 and December 2020.The participants were divided into two groups based on the presence or absence of DF:the DF group(n=26)and the non-DF group(NDF,n=137).The DF group were divided into two sub-groups based on the Wagner classification:Wagner grade 3 group(n=17),Wagner grade 4 group(n=9).All patients underwent fundus photography and sensory threshold(VPT)measurement,additionally,their glucose levels were monitored using TIR,time above range(TAR),time below range(TBR),glucose coefficient of variation(CV)and mean amplitude of glyce-mic excursions(MAGE).The above indices were compared statistically.Results TIR[(35.19±10.94)％vs.(44.79±10.60)％],CV[36.65(29.45,38.75)％vs.29.90(24.60,34.80)％],TAR[(61.46±12.21)％vs.(54.01±l1.22)％],TBR[1.00(0.00,5.75)％vs.0.00(0.00,1.00)％],fundus photography(19/26 vs.96/137)and abnormal proportion of VPT(25/26 vs.45/137),there were statistical differences between the DF and NDF groups.The rates of CRP and VPT were higher in the Wagner grade 3 and 4 groups compared to the NDF group.Addi-tionally,the TIR was lower in both groups compared to the NDF group,with statistically significant differences.The re-sults of the multiple logistic regression analysis indicate that CRP(OR=1.024,P=0.011),fundus radiography(OR=0.113,P=0.013)and VPT(OR=31.803,P=0.042)were independent influencing factors for DF.Conclusion DF can be complicated by DM retinopathy and neuropathy,and infection is an independent risk factor.A higher CV was ob-served with lower TIR,indicating poor and fluctuating blood glucose levels.This may be associated with the development of DF.
关键词
糖尿病足/糖尿病/血糖波动/目标范围内时间/葡萄糖变异系数
Key words
Diabetic foot/Diabetes mellitus/Glycemic variability/Time in range/Glucose coefficient of variation
维普
万方数据