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Volume 12 Issue 4
Jul.  2021
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DENG Mingqun, ZHOU Liyuan, ZHAI Xiao, LIU Jieying, FU Junling, YU Ruiqi, PAN Yundi, MA Liyuan, YU Miao, XU Jianping, LI Wenhui, FENG Kai, XIAO Xinhua. Relationship between HbA1c and the Time in Range Derived from Flash Glucose Monitoring System[J]. Medical Journal of Peking Union Medical College Hospital, 2021, 12(4): 526-530. DOI: 10.12290/xhyxzz.20200035
Citation: DENG Mingqun, ZHOU Liyuan, ZHAI Xiao, LIU Jieying, FU Junling, YU Ruiqi, PAN Yundi, MA Liyuan, YU Miao, XU Jianping, LI Wenhui, FENG Kai, XIAO Xinhua. Relationship between HbA1c and the Time in Range Derived from Flash Glucose Monitoring System[J]. Medical Journal of Peking Union Medical College Hospital, 2021, 12(4): 526-530. DOI: 10.12290/xhyxzz.20200035
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Relationship between HbA1c and the Time in Range Derived from Flash Glucose Monitoring System

  • Department of Endocrinology, Key Laboratory of Endocrinology, National Health Commission of the People's Republic of China, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China

Funds: 

National Key Research and Development Program of China 2017YFC1309603

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  • Corresponding author:

    XIAO Xinhua  Tel: 86-10-69155513, E-mail: xiaoxh2014@vip.163.com

  • Received Date: February 16, 2020
  • Accepted Date: May 03, 2020
  • Available Online: February 04, 2021
  • Issue Publish Date: July 29, 2021
    Graphical Abstract
    • Abstract
  •   Objective  To explore the relationship between HbA1c and time in range (TIR) derived from flash glucose monitoring system (FGMS) in Chinese adults with type 1 diabetes mellitus (T1DM).
      Methods  Adult T1DM patients attended the outpatient department of Peking Union Medical College Hospital (PUMCH) from October 2018 to March 2019 were included. HbA1c and data of FGMS were obtained at the same time. TIR was calculated, and the relationship between TIR and HbA1c was investigated by Spearman correlation and regression analysis.
      Results  A total of 77 patients who met the inclusion and exclusion criteria were included in the analysis. The average HbA1c was (7.5±1.3)%; TIR was 62.0 (48.7, 67.8)% and coefficient of variation(CV) was (39.7±8.1)%. TIR derived from FGMS had a negative liner correlation with HbA1c (r=-0.645, P < 0.001). The regression equation is: HbA1c=10.58-0.05×TIR. The HbA1c level is decreased by 0.5% for every 10% increase in TIR. TIR was negatively correlated with HbA1c in patients with both stable glucose (CV < 36%) and unstable glucose (CV≥36%), but the correlation coefficient between TIR and HbA1c in patients with stable glucose was higher. For a specific TIR, HbA1c was higher in patients with stable glucose.
      Conclusion  The FGMS-derived TIR could be helpful in the glucose management in Chinese adults with T1DM, and glucose variability should be taken into consideration while interpreting the relationship between TIR and HbA1c.
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    • References (18)
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