Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man

Abstract (verbatim from original paper)

"The steady-state basal plasma glucose and insulin concentrations are determined by their interaction in a feedback loop. A computer-solved model has been used to predict the homeostatic concentrations which arise from varying degrees beta-cell deficiency and insulin resistance. Comparison of a patient's fasting values with the model's predictions allows a quantitative assessment of the contributions of insulin resistance and deficient beta-cell function to the fasting hyperglycaemia."

Key Statistics (from original paper)

• •Insulin resistance vs euglycaemic clamp: Rs = 0.88 (P < 0.0001)
• •Beta-cell function vs hyperglycaemic clamp: Rs = 0.61 (P < 0.01)
• •Coefficient of variation (IR estimate): 31%
• •Coefficient of variation (β-cell estimate): 32%

Authors' Conclusion

"The accuracy and precision of the estimate have been determined by comparison with independent measures of insulin resistance and beta-cell function using hyperglycaemic and euglycaemic clamps and an intravenous glucose tolerance test."

"The low variability of the estimates from the model (coefficient of variation: 31% and 32% respectively) is similar to that of the hyperglycaemic and euglycaemic clamp methods."

---

Note: This content is derived from the PubMed abstract (PMID 3899825). Full text is not freely available as this 1985 paper predates the PMC archive.