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Article Dans Chinois | WPRIM | ID: wpr-1027968

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Objective:To explore the correlation between glycated hemoglobin variability index (HGI) and carotid artery plaque in patients with type 2 diabetic kidney disease (DKD).Methods:This cross-sectional study included 620 DKD patients admitted to the Department of Endocrinology in the First Affiliated Hospital of Nanjing Medical University from June 2019 to June 2022. Basic demographic and laboratory data, including age, disease duration, body mass index (BMI), blood pressure, fasting blood glucose (FBG), glycated hemoglobin (HbA 1c), lipid profile, and urinary albumin excretion rate (UAER), were collected for all participants. A linear regression equation was developed based on FPG and HbA 1c to calculate the HGI level of each patient. The patients were divided into low HGI group, medium HGI group, and high HGI group based on the tertiles of HGI. The detection rate of carotid artery plaque in the three HGI groups was analyzed. The patients were further divided into the non-plaque group (254 cases) and plaque group (366 cases) based on the presence or absence of carotid artery plaque. Binary logistic regression analysis was used to identify the risk factors for carotid artery plaque in DKD patients. Results:Among the DKD patients, the detection rate of carotid artery plaque was 59%. Compared with the non-plaque group, the patients in the plaque group had older age (60.52 years, t=-7.71), longer disease duration (10 years, Z=-4.17), higher systolic blood pressure (141.9 mmHg, t=-3.29), higher HbA 1c (9.2%, Z=-2.17), higher HGI (-0.20%, Z=-3.43), higher urea nitrogen (6.87 μmol/L, Z=-3.96), higher creatinine (77 mmol/L, Z=-4.05), and higher UAER (234.25 mg/24 h, Z=-5.59) (all P<0.05). The detection rate of carotid artery plaque in the low HGI group, medium HGI group and high HGI group was 50.5%, 57.9% and 68.5%, respectively, with a statistically significant difference among the three groups (χ 2=14.15, P=0.001). Age, UAER, and HGI were identified as risk factors for carotid artery plaque ( OR=1.051, 2.775 and 1.474, all P<0.05). The risk of carotid artery plaque in the high HGI group was 2.142 times of that in the low HGI group. After adjusting for confounding factors such as age, gender, disease duration, BMI, blood pressure, lipid profile and UAER, the risk of carotid artery plaque in the high HGI group was 2.558 times of that in the low HGI group. Conclusion:HGI is significantly elevated in DKD patients with carotid artery plaque, and the detection rate of carotid artery plaque increases with HGI level. Elevated HGI is an independent risk factor for carotid artery plaque in DKD patients.

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