Literature DB >> 25681043

Blood glucose fluctuations in hemodialysis patients with end stage diabetic nephropathy.

Yue-ping Jin1, Xiao-fei Su1, Guo-ping Yin1, Xiao-hua Xu1, Ji-zhuang Lou2, Jian-jun Chen2, Yue Zhou2, Jie Lan1, Bing Jiang1, Zheng Li1, Kok-Onn Lee3, Lei Ye4, Jian-hua Ma5.   

Abstract

OBJECTIVE: To characterize blood glucose fluctuation during hemodialysis in patients with end stage diabetic nephropathy (ESDN) by a continuous glucose monitoring system (CGMS), and aim to improve blood glucose control in this patient population.
METHODS: Forty-six patients with or without type 2 diabetes mellitus (T2DM), receiving hemodialysis, were recruited in this study. Thirty-six patients had end stage diabetic nephropathy (ESDN group), the other ten patients had end stage renal disease without diabetes (ESRD group). A continuous glucose monitoring system (CGMS) was employed to monitor glycemic fluctuation for 72 hours. Blood samples were collected and analyzed.
RESULTS: Mean, standard deviation (SD), maximum, and mean amplitude glycemic excursion (MAGE) of blood glucose and the ratio of blood glucose readings that was greater than 13.9 mmol/L of ESDN group, were significantly greater than those of ESRD group (p<0.01 for all) during 72 hours of observation. The mean blood glucose was significantly lower, while SD and MAGE were significantly higher in ESDN group on hemodialysis day than on days off hemodialysis (p<0.05), while these were not been observed in ESRD group. Though mean, SD, and MAGE of blood glucose during hemodialysis were significantly lower than those of peri-hemodialysis in both groups (p<0.01 or p<0.05, respectively), they were significantly higher in ESDN group than that in ESRD group (p<0.05). The mean blood glucose value calculated from HbA1c did not reflect the actual mean blood glucose measured by CGM in both groups, and gave an inaccurate impression of a significantly lower mean glucose.
CONCLUSIONS: ESDN patients had larger glycemic fluctuations as compared with ESRD patients. Hemodialysis caused reduction in mean, SD, and MAGE, which in turn caused bigger glycemic fluctuations on hemodialysis day. The HbA1c in ESDN patients gave an inaccurate value, which did not truly reflect blood glucose status for a prolonged period.
Copyright © 2015. Published by Elsevier Inc.

Entities:  

Keywords:  Continuous glucose monitoring system; Diabetic nephropathy; Glycemic fluctuation; Hemodialysis; Type 2 diabetes mellitus

Mesh:

Substances:

Year:  2014        PMID: 25681043     DOI: 10.1016/j.jdiacomp.2014.12.015

Source DB:  PubMed          Journal:  J Diabetes Complications        ISSN: 1056-8727            Impact factor:   2.852


  14 in total

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4.  Comparison of Interstitial Fluid Glucose Levels Obtained by Continuous Glucose Monitoring and Flash Glucose Monitoring in Patients With Type 2 Diabetes Mellitus Undergoing Hemodialysis.

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Review 5.  Continuous glucose monitoring in patients with type 2 diabetes on hemodialysis.

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6.  Comparison of intra-individual coefficients of variation on the paired sampling data when inter-individual variations are different between measures.

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Journal:  PLoS One       Date:  2017-06-05       Impact factor: 3.240

8.  Glycemic Patterns and Factors Associated with Post-Hemodialysis Hyperglycemia among End-Stage Renal Disease Patients undergoing Maintenance Hemodialysis.

Authors:  Abdul Hanif Khan Yusof Khan; Nor Fadhlina Zakaria; Muhammad Adil Zainal Abidin; Christopher Tiam Seong Lim; Nor Azmi Kamaruddin
Journal:  J ASEAN Fed Endocr Soc       Date:  2020-05-02

9.  Comparison of Glycemic Variability in Chinese T2DM Patients Treated with Exenatide or Insulin Glargine: A Randomized Controlled Trial.

Authors:  Ting-Ting Yin; Yan Bi; Ping Li; Shan-Mei Shen; Xiao-Lu Xiong; Li-Jun Gao; Can Jiang; Yan Wang; Wen-Huan Feng; Da-Long Zhu
Journal:  Diabetes Ther       Date:  2018-05-09       Impact factor: 2.945

Review 10.  Molecular Mechanisms of Glucose Fluctuations on Diabetic Complications.

Authors:  Zhen-Ye Zhang; Ling-Feng Miao; Ling-Ling Qian; Ning Wang; Miao-Miao Qi; Yu-Min Zhang; Shi-Peng Dang; Ying Wu; Ru-Xing Wang
Journal:  Front Endocrinol (Lausanne)       Date:  2019-09-18       Impact factor: 5.555

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