Homeostasis model assessment is a reliable indicator of insulin resistance during follow-up of patients with type 2 diabetes

Diabetes Care. 2001 Feb;24(2):362-5. doi: 10.2337/diacare.24.2.362.

Abstract

Objective: To investigate the usefulness of the homeostasis model assessment as an index of insulin resistance (HOMA-IR) for evaluating the clinical course of patients with type 2 diabetes.

Research design and methods: The usefulness of HOMA-IR and its relationship with insulin resistance assessed by the hyperinsulinemic-euglycemic clamp study (clamp IR) were evaluated in 55 Japanese patients with type 2 diabetes before and after treatment. The patients were subjected to diet (approximately 1,440-1,720 kcal/day) and exercise therapy (walking 10,000 steps daily) for 6 weeks during their hospitalization.

Results: Univariate regression analysis disclosed a significant correlation between log-transformed HOMA-IR and log-transformed clamp IR before (r = -0.613, P < 0.0001) and after ( = -0.734, P < 0.0001) treatment. Neither the slopes (-0.71 +/- 0.12 vs. -0.79 +/- 0.09, F = 0.25, P = 0.61) nor the intercepts (y-intercept = 1.67 vs. 1.70, x-intercept = 2.36 vs. 2.15, F = 0.02, P = 0.88) of the regression lines between HOMA-IR and clamp IR were significantly different before and after treatment. There was a significant correlation between the decrease in log-transformed HOMA-IR and the increase in clamp IR during treatment (r = -0.617, P < 0.0001).

Conclusions: HOMA-IR may constitute a useful method not only for diagnosing insulin resistance, but also for follow-up during the treatment of patients with type 2 diabetes.

Publication types

  • Comparative Study

MeSH terms

  • Adult
  • Aged
  • Blood Glucose / analysis
  • Body Mass Index
  • Diabetes Mellitus, Type 2 / complications*
  • Diabetes Mellitus, Type 2 / therapy
  • Diet
  • Exercise
  • Fasting
  • Female
  • Glucose Clamp Technique
  • Glycated Hemoglobin / analysis
  • Homeostasis*
  • Humans
  • Insulin / blood
  • Insulin Resistance*
  • Male
  • Mathematics
  • Middle Aged
  • Regression Analysis

Substances

  • Blood Glucose
  • Glycated Hemoglobin A
  • Insulin