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Visit-to-Visit Glucose Variability Predicts the Development of End-Stage Renal Disease in Type 2 Diabetes

  • Ya Fei Yang
  • , Tsai Chung Li
  • , Chia Ing Li
  • , Chiu Shong Liu
  • , Wen Yuan Lin
  • , Sing Yu Yang
  • , Jen Huai Chiang
  • , Chiu Ching Huang
  • , Fung Chang Sung
  • , Cheng Chieh Lin*
  • *Corresponding author for this work
  • China Medical University Taichung
  • China Medical University
  • Asia University, Japan
  • China Medical University Hospital

Research output: Contribution to journalJournal Article peer-review

53 Scopus citations

Abstract

The purpose of this study was to examine the association of glucose variability using coefficient of variation of fasting plasma glucose (FPG-CV) and coefficient of variation of glycated hemoglobin (HbA 1c-CV) to end-stage renal disease (ESRD) in 31,841 Chinese patients with type 2 diabetes. Patients with type 2 diabetes enrolled in National Diabetes Care Management Program, aged 蠇30 years, and free of ESRD (n = 31,841) in January 1, 2002 to December 31, 2004 were included. Extended Cox proportional hazards regression models with competing risk of all-cause mortality were used to evaluate risk factors on ESRD incidence. Patients were followed till 2012. After a median follow-up period of 8.23 years, 1642 patients developed ESRD, giving a crude incidence rate of 6.27/1000 person-years (6.36 for men, 6.19 for women). After the multivariate adjustment, both FPG-CV and HbA 1c-CV were independent predictors of ESRD with corresponding hazard ratios of 1.20 (95% confidence interval [CI] 1.01, 1.41), 1.24 (95% CI 1.05, 1.46) in HbA 1c-CV from fourth to fifth quintile and 1.23 (95% CI 1.03, 1.47) in FPG-CV from fifth quintile. One-year visit-to-visit glucose variability expressed by FPG-CV and HbA 1c-CV predicted development of ESRD in patients with type 2 diabetes, suggesting therapeutic strategies toward a goal to minimize glucose fluctuation.

Original languageEnglish
Pages (from-to)e1804
JournalMedicine (United States)
Volume94
Issue number44
DOIs
StatePublished - 01 11 2015
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2015 Wolters Kluwer Health, Inc. All rights reserved.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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