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Chinese Journal of Obesity and Metabolic Diseases(Electronic Edition) ›› 2022, Vol. 08 ›› Issue (04): 249-255. doi: 10.3877/cma.j.issn.2095-9605.2022.04.006

• Article • Previous Articles     Next Articles

Study on the correlation between time within the target range of glucose and urinary microalbumin level in patients with type 2 diabetes

Di Shen1, Li Quan1, Cunyu Liang1, Qi Meng1, Yusufu Aibibai·1,()   

  1. 1. Endocrine Department , the First Affiliated Hospital of Xinjiang Medical University , Urumqi 830000, China
  • Received:2022-06-04 Online:2022-11-30 Published:2023-03-23
  • Contact: Yusufu Aibibai·

Abstract:

Objective

To explore the correlation between time in range of glucose (TIR, Time In Range) and urinary microalbumin level.

Methods

this study, 126 patients with type 2 diabetes who were hospitalized in the Department of Endocrinology, Xinjiang Medical University from January 2020 to March 2022 were included. The urinary albumin/creatinine ratio (UACR) of 30 mg/g was used as the entry point, the ratio less than 30 mg/g was used as the NUA group (80 cases), and 30 mg/g≤UACR<300 mg/g was used as the UA group (46 cases). The difference between the two groups of indicators and their correlation with UACR level were compared, the risk factors of UACR level were analyzed by binary Logistic regression model, and the difference of indicators in the two groups was analyzed, and the contribution difference of each indicator was analyzed by multiple Logistic regression. At the same time, hierarchical TIR analysis was performed to compare the differences between different groups of UACR, and finally Pearson correlation analysis was performed for related indicators.

Results

There were statistically significant differences in age, disease course, mean blood glucose, TIR, time below the glucose target range (TBR), glycosylated hemoglobin, triglycerides, high density lipoprotein cholesterol, low density lipoprotein cholesterol, estimated glomerular filtration rate (eGFR), creatinine, cystatin C and coefficient of variation between the two groups (P<0.05). TIR, low density lipoprotein, cystatin C and coefficient of variation were correlated with the occurrence of urinary microalbumin (P<0.05). There was a negative correlation between TIR and UACR level (P<0.05). LDL-C, cystatin C and coefficient of variation were positively correlated with UACR level (P<0.05).

Conclusions

The level of urinary microalbumin in type 2 diabetes patients is negatively correlated, and when the level of TIR decreases, the level of urinary microalbumin increases significantly. As an important indicator of blood glucose monitoring, TIR can well evaluate the blood sugar control of diabetic patients and predict the occurrence of microalbuminuria.

Key words: Time in range, Glucose fluctuation indicators, Diabetes nephropathy, Diabetic complications

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