Jennings, Rachel

Okusa, James

Rolfs, Jonathan

Roxas, Joseph

Virtudes, Jacqueline

English

VCU Scholars Compass

Virginia Commonwealth University VCU Scholars Compass Biology and Medicine Through Mathematics Conference Estimation of Insulin Sensitivity from Continuous Glucose Monitoring Data During an Intravenous Glucose Tolerance Test Rachel Jennings UnitedHealth Group Research & Development, racheljennings@uhg.com Jonathan Rolfs UnitedHealth Group Research & Development, JonathanRolfs@uhg.com Joseph Roxas UnitedHealth Group Research & Development, JosephRoxas@uhg.com See next page for additional authors Follow this and additional works at: https://scholarscompass.vcu.edu/bamm  Part of the Life Sciences Commons, Medicine and Health Sciences Commons, and the Physical Sciences and Mathematics Commons https://scholarscompass.vcu.edu/bamm/2020/talk/3 This Event is brought to you for free and open access by the Dept. of Mathematics and Applied Mathematics at VCU Scholars Compass. It has been accepted for inclusion in Biology and Medicine Through Mathematics Conference by an authorized administrator of VCU Scholars Compass. For more information, please contact libcompass@vcu.edu. Presenter Information Rachel Jennings, Jonathan Rolfs, Joseph Roxas, James Okusa, and Jacqueline Virtudes This event is available at VCU Scholars Compass: https://scholarscompass.vcu.edu/bamm/2020/talk/3 Insulin sensitivity is an important physiological indicator describing the ability of insulin to facilitate the uptake of plasma glucose by muscle and adipose tissue cells, which often becomes impaired years prior to a type 2 diabetes (T2D) diagnosis. However, despite its importance in disease progression, current methods for estimating insulin sensitivity are costly, invasive, and time consuming as they require clinical testing in an in-patient setting. Continuous glucose monitors (CGMs) capture blood glucose profiles with greater granularity and frequency than before, opening the doorway for rapid, dynamic estimates of insulin sensitivity using a non-invasive method. Here, we recast an existing mathematical model describing the glucose-insulin dynamics during an intravenous glucose tolerance test (IVGTT) into a second-order single delay differential equation (DDE) model that no longer requires information about insulin to estimate the key physiological parameters governing human glucose metabolisms. Parameter estimation was performed by fitting the DDE model to CGM-obtained IVGTT glucose data from 42 healthy individuals using a modified-form of non-linear least squares. The estimated insulin sensitivity parameters for all the subjects were shown to be identifiable (CV < 0.52). Furthermore, the model-derived insulin sensitivity parameters showed a strong, linear correlation (r = 0.89) to the insulin sensitivity indices obtained from hyperinsulinemic-euglycemic clamp tests, the gold standard test for measuring insulin sensitivity. Thus, this novel methodology may aid attempts at early identification of prediabetics and T2D diagnosis by providing easier access to the state of an individual’s glucose metabolism.   

Estimation of Insulin Sensitivity from Continuous Glucose Monitoring Data During an Intravenous Glucose Tolerance Test

https://scholarscompass.vcu.edu/cgi/viewcontent.cgi?article=1416&context=bamm

Estimation of Insulin Sensitivity from Continuous Glucose Monitoring Data During an Intravenous Glucose Tolerance Test

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