Research progress on the correlation between glycemic variability and diabetic kidney disease in type 2 diabetes

WANG Wei; ZHANG Yujian; XU Lujia; SONG Xuenan; TANG Kuanxiao

doi:10.16766/j.cnki.issn.1674-4152.004058

Volume 23 Issue 6

Jun. 2025

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Article Navigation > Chinese Journal of General Practice > 2025 > 23(6): 1027-1030

WANG Wei, ZHANG Yujian, XU Lujia, SONG Xuenan, TANG Kuanxiao. Research progress on the correlation between glycemic variability and diabetic kidney disease in type 2 diabetes[J]. Chinese Journal of General Practice, 2025, 23(6): 1027-1030. doi: 10.16766/j.cnki.issn.1674-4152.004058

Citation:

WANG Wei, ZHANG Yujian, XU Lujia, SONG Xuenan, TANG Kuanxiao. Research progress on the correlation between glycemic variability and diabetic kidney disease in type 2 diabetes[J]. Chinese Journal of General Practice, 2025, 23(6): 1027-1030. doi: 10.16766/j.cnki.issn.1674-4152.004058

Citation:

WANG Wei, ZHANG Yujian, XU Lujia, SONG Xuenan, TANG Kuanxiao. Research progress on the correlation between glycemic variability and diabetic kidney disease in type 2 diabetes[J]. Chinese Journal of General Practice, 2025, 23(6): 1027-1030. doi: 10.16766/j.cnki.issn.1674-4152.004058

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Research progress on the correlation between glycemic variability and diabetic kidney disease in type 2 diabetes

doi: 10.16766/j.cnki.issn.1674-4152.004058

Department of General Practice, Qilu Hospital of Shandong University, Jinan, Shandong 250012, China

Funds:

ZR2015HM074

Received Date: 2024-12-28
Available Online: 2025-09-04

Abstract

Abstract

In the process of long-term glycemic variation monitoring for patients with diabetic kidney disease (DKD), we typically employ classical indicators such as glycated hemoglobin A1c. However, these indicators may not accurately reflect the true glycemic levels of patients under certain physiological and pathological conditions, such as during pregnancy, anemia, and chronic kidney insufficiency. Glycemic variability (GV) refers to the fluctuations in a patient ' s blood glucose levels. Studies have shown that increased GV can elevate the risk of DKD development. Additionally, the progression of DKD might also cause GV to rise. This implies that we cannot solely focus on the mean blood glucose level and also need to consider its variability. Therefore, the integrated management of both glycemic levels and variability, along with the development of personalized glycemic management plans, is crucial for preventing and deferring the progression of DKD. Continuous glucose monitoring (CGM) provides real-time, continuous blood glucose measurements, thereby offering a more accurate reflection of a patient ' s GV. This paper will review recent research literature on the correlation between GV and DKD, summarize the limitations of HbA1c in assessing GV, and outline the advantages and values of CGM-related indicators in managing GV in DKD patients. The paper also discusses the latest advancements in the application of CGM across different stages of DKD (including hemodialysis and peritoneal dialysis) and reviews the latest research on treatment strategies aimed at improving DKD by targeting glucose fluctuations. The aim of this review is to provide strong evidence for the precise regulation of blood glucose and improving outcomes in DKD patients.
- Diabetic kidney disease,
- Glucose variability,
- Continuous glucose monitoring

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References(48)

References

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Research progress on the correlation between glycemic variability and diabetic kidney disease in type 2 diabetes

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Research progress on the correlation between glycemic variability and diabetic kidney disease in type 2 diabetes

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