Back to Search
Start Over
Prediction models for insulin resistance.
- Source :
-
Blood pressure [Blood Press] 1996 Sep; Vol. 5 (5), pp. 274-7. - Publication Year :
- 1996
-
Abstract
- 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.
Details
- Language :
- English
- ISSN :
- 0803-7051
- Volume :
- 5
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Blood pressure
- Publication Type :
- Academic Journal
- Accession number :
- 8879599
- Full Text :
- https://doi.org/10.3109/08037059609078059