Fasting plasma glucose variability predicts 10-year survival of type 2 diabetic patients: the Verona Diabetes Study

Diabetes Care. 2000 Jan;23(1):45-50. doi: 10.2337/diacare.23.1.45.

Abstract

Objective: In the present study, we evaluated whether the coefficient of variation (CV) of fasting plasma glucose (FPG) over a 3-year period was a significant predictor of mortality in type 2 diabetic patients aged 56-74 years.

Research design and methods: All type 2 diabetic patients (n = 1,409) aged 56-74 years attending the Verona Diabetes Clinic and having at least two FPG determinations in each of the years 1984-1986 were followed for 10 years (1987-1996) to assess total and cause-specific mortality Patients were grouped into tertiles of mean and CV of FPG during 1984-1986. These parameters as well as sex, age, diabetes duration, insulin treatment, smoking, hypertension, and hypercholesterolemia were included in multivariate survival analyses.

Results: During the follow-up, 468 patients died. The CV of FPG was an independent predictor of total, cardiovascular, and cancer mortality. Mean FPG was a predictor of total mortality only when the CV of FPG was not included in the analyses.

Conclusions: Long-term variability of fasting glucose is an independent predictor of mortality in patients with type 2 diabetes. The CV of FPG might be considered a useful additional parameter in the management of these patients.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Aged
  • Analysis of Variance
  • Blood Glucose / analysis*
  • Blood Glucose / metabolism
  • Diabetes Mellitus, Type 2 / blood*
  • Diabetes Mellitus, Type 2 / epidemiology
  • Diabetes Mellitus, Type 2 / mortality*
  • Diabetic Angiopathies / epidemiology
  • Diabetic Angiopathies / mortality
  • Fasting*
  • Female
  • Humans
  • Hypercholesterolemia / epidemiology
  • Hypertension / epidemiology
  • Italy / epidemiology
  • Male
  • Middle Aged
  • Prevalence
  • Probability
  • Smoking
  • Survival Rate
  • Time Factors

Substances

  • Blood Glucose