Prediction models for insulin resistance

Blood Press. 1996 Sep;5(5):274-7. doi: 10.3109/08037059609078059.


A prediction model for estimating insulin resistance in hypertensive patients is presented. Body-mass index, serum triglyceride concentrations and liver enzyme activity in plasma correlate to insulin resistance determined with the euglycaemic, hyperinsulinaemic clamp technique. Prediction models using body-mass index and either triglycerides or serum alanine-amino transferase were equally good in predicting insulin resistance and gave results that were as reliable as those obtained in a model using fasting-insulin concentrations. The hyperinsulinaemic clamp had a reproducibility error of 14%, and body-mass index and serum triglycerides had a multiple correlation of 0.57 to the insulin-sensitivity results. The model predicts insulin resistance with acceptable statistical power, whereas the power to predict high values of insulin sensitivity is less good.

MeSH terms

  • Aged
  • Alanine Transaminase / blood
  • Body Constitution / physiology
  • Female
  • Humans
  • Hypertension / blood
  • Hypertension / physiopathology*
  • Insulin Resistance / physiology*
  • Male
  • Predictive Value of Tests
  • Regression Analysis
  • Reproducibility of Results


  • Alanine Transaminase