The Department of Endocrinology, 
Surrogate measures of insulin sensitivity when compared to euglycemic hyperinsulinemic clamp studies in Asian Indian men without diabetes.
- Department of Endocrinology, Diabetes and Metabolism, Christian Medical College, Vellore, India.
- Division of Endocrinology, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA.
- Department of Biostatistics, Christian Medical College, Vellore, India.
- Department of Endocrinology, Diabetes and Metabolism, Christian Medical College, Vellore, India. Electronic address: nihal_thomas@cmcvellore.ac.in.
Journal of diabetes and its complications Vol. 30 · Issue 2 · pp. 287-91
PMID 26718937 DOI 10.1016/j.jdiacomp.2015.11.024
Cite This Article
Padmanaban Venkatesan, Akankasha Tiwari, Riddhi Dasgupta, Michelle Carey, Sylvia Kehlenbrink, Anneka Wickramanayake, Mohan Jambugulam, Lakshmanan Jeyaseelan, Kavitha Ramanathan, Meredith Hawkins, Nihal Thomas. Surrogate measures of insulin sensitivity when compared to euglycemic hyperinsulinemic clamp studies in Asian Indian men without diabetes. Journal of diabetes and its complications. 2016;30(2):287-91. doi:10.1016/j.jdiacomp.2015.11.024
Abstract
AIM: Fasting surrogate measures of insulin sensitivity are increasingly used in research and clinical practice. To assess the reliability of these measures, we aimed to evaluate multiple fasting surrogate measures simultaneously in non-diabetic subjects in comparison with the euglycemic hyperinsulinemic clamp study.
METHODS: Sixteen normoglycemic male South Indian subjects were studied. After an overnight fast, blood samples were collected for glucose, insulin and lipid profile measurements, and stepped euglycemic hyperinsulinemic clamp studies were performed on all subjects. Steady state glucose infusion rates (M value) during low and high insulin phases of the clamp were calculated. Correlation of M value with surrogate markers of insulin sensitivity was performed. Predictive accuracy of surrogate indices was measured in terms of Root Mean Squared Error (RMSE) and leave-one-out cross-validation-type RMSE of prediction using a calibration model.
RESULTS: M values showed a strong and significant correlation (p
CONCLUSIONS: Among the surrogate measures, FGIR had the strongest correlation with M values. FGIR was also the most accurate surrogate measure, as assessed by the calibration model.
Keywords
- Calibration model
- Ethnic groups
- Glucose clamp technique
- Insulin resistance
- Insulin sensitivity
- Surrogate measures
