Glycaemic variation is a predictor of all-cause mortality in the Veteran Affairs Diabetes Trial

Jin J. Zhou, Juraj Koska, Gideon Bahn, Peter Reaven

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Diabetes is associated with substantially increased mortality. Classic risk factors explain a portion of the excess of mortality in type 2 diabetes. The aim of this study was to examine whether visit-to-visit variation in fasting glucose and haemoglobin A1c values in the Veteran Affairs Diabetes Trial were associated with all-cause mortality in patients with type 2 diabetes in addition to other comorbidity conditions, hypoglycaemic events and adverse lifestyle behaviours. The Veteran Affairs Diabetes Trial was a randomized trial that enrolled 1791 military veterans who had a suboptimal response to therapy for type 2 diabetes to receive either intensive or standard glucose control. During the Veteran Affairs Diabetes Trial, fasting glucose and haemoglobin A1c were measured quarterly for up to 84 months. Variability measures included coefficient of variation and average real variability. We found that variability measures (coefficient of variation and average real variability) of fasting glucose were predictors of all-cause mortality, even after adjusting for comorbidity index, mean fasting glucose and adverse lifestyle behaviour during the study. Accounting for severe hypoglycaemia did not weaken this association. Our analysis indicates that in the Veteran Affairs Diabetes Trial, longitudinal variation in fasting glucose was associated with all-cause mortality, even when accounting for standard measures of glucose control as well as comorbidity and lifestyle factors.

Original languageEnglish (US)
Pages (from-to)178-185
Number of pages8
JournalDiabetes and Vascular Disease Research
Volume16
Issue number2
DOIs
StatePublished - Mar 1 2019

Keywords

  • Mortality
  • glycaemic control
  • hypoglycaemia
  • long-term glycaemic variability
  • type 2 diabetes

ASJC Scopus subject areas

  • Internal Medicine
  • Endocrinology, Diabetes and Metabolism
  • Cardiology and Cardiovascular Medicine

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