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Predictions of diabetes complications and mortality using hba1c variability: a 10-year observational cohort study

Acta Diabetologica volume 58, pages 171–180 (2021)Cite this article

Abstract

Introduction

Emerging evidence suggests that HbA1c variability, in addition to HbA1c itself, can be used as a predictor for mortality. The present study aims to examine the predictive power of mean HbA1c and HbA1c variability measures for diabetic complications as well as mortality.

Methods

The retrospective observational study analyzed diabetic patients who were prescribed insulin at outpatient clinics of the Prince of Wales Hospital and Shatin Hospital, Hong Kong, from 1 January to 31 December, 2009. Standard deviation (SD), root mean square (RMS), and coefficient of variation were used as measures of HbA1c variability. The primary outcomes were all-cause and cardiovascular mortality. Secondary outcomes were diabetes-related complications.

Results

The study cohort consists of 3424 patients, including 3137 patients with at least three HbA1c measurements. The low mean HbA1c subgroup had significantly shorter time-to-death for all-cause mortality (P < 0.001) but not cardiovascular mortality (P = 0.920). The high Hba1c subgroup showed shorter time-to-death for all-cause (P < 0.001) and cardiovascular mortality (P < 0.001). Mean Hba1c and Hba1c variability predicted all-cause as well as cardiovascular-specific mortality. In terms of secondary outcomes, mean HbA1c and HbA1c variability significantly predicted diabetic ketoacidosis/hyperosmolar hyperglycemic state/diabetic coma, neurological, ophthalmological, and renal complications. A significant association between dichotomized HbA1c variability and hypoglycemia frequency was found (P < 0.0001).

Conclusion

High HbA1c variability is associated with increased risk of all-cause and cardiovascular mortality, as well as diabetic complications. The association between hypoglycemic frequency, HbA1c variability, and mortality suggests that intermittent hypoglycemia resulting in poorer outcomes in diabetic patients.

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Funding

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Authors and Affiliations

  1. Laboratory of Cardiovascular Physiology, Li Ka Shing Institute of Health Sciences, Hong Kong, China

    Sharen Lee

  2. Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, 300211, People’s Republic of China

    Tong Liu & Gary Tse

  3. School of Data Science, City University of Hong Kong, Hong Kong, China

    Jiandong Zhou & Qingpeng Zhang

  4. School of Life Sciences, Chinese University of Hong Kong, Hong Kong, China

    Wing Tak Wong

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  1. Sharen Lee
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  2. Tong Liu
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  3. Jiandong Zhou
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  4. Qingpeng Zhang
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Correspondence to Wing Tak Wong or Gary Tse.

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This single-center retrospective observational study was approved by The Joint Chinese University of Hong Kong – New Territories East Cluster Clinical Research Ethics Committee.

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Informed consent was waived by the Ethics Committee due to the retrospective, observational nature of the study.

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Lee, S., Liu, T., Zhou, J. et al. Predictions of diabetes complications and mortality using hba1c variability: a 10-year observational cohort study. Acta Diabetol 58, 171–180 (2021). https://doi.org/10.1007/s00592-020-01605-6

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  • DOI: https://doi.org/10.1007/s00592-020-01605-6