NDLI: Prediction Models for Insulin Resistance

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Prediction Models for Insulin Resistance

Content Provider	Scilit
Author	Berglund, Lars Lithell, Hans
Copyright Year	1996
Description	Journal: Blood Pressure 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.
Related Links	http://www.tandfonline.com/doi/pdf/10.3109/08037059609078059
Ending Page	277
Page Count	4
Starting Page	274
ISSN	08037051
e-ISSN	16511999
DOI	10.3109/08037059609078059
Journal	Blood Pressure
Issue Number	5
Volume Number	5
Language	English
Publisher	Informa UK Limited
Publisher Date	1996-01-01
Access Restriction	Open
Subject Keyword	Journal: Blood Pressure Peripheral Vascular Disease Hyperinsulinaemic Insulin Resistance A Prediction
Content Type	Text
Subject	Internal Medicine Cardiology and Cardiovascular Medicine

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