Sarit Polsky, MD, MPH
Associate Professor
University of Colorado, Anschutz Medical Campus
Featured in the Session: Getting Along with Your Algorithm
When
Sunday, June 7
at 4:30 p.m.
Where
Hall E-2 (Level 1)
Ernest N. Morial Convention Center
What is your presentation about?
This talk will present data from randomized controlled trials and expert opinion on how and why automated insulin delivery (AID) systems can benefit from optimization, assistive techniques for use in pregnancy. Both general principles of AID optimization and specific techniques will be reviewed. Recommendations from the American Diabetes Association® (ADA) and an internal consensus statement will be discussed.
How do you hope your presentation will impact diabetes research or care?
Pregnancy is often an understudied population when it comes to advanced diabetes technologies. While some high-quality data on this topic have emerged in recent years, much has yet to be learned. I hope that by highlighting the current user burden, potential limitations of existing technologies, and the great need for further improvements, all stakeholders will be inspired to continue work to push this field forward and help improve the care of pregnant individuals with diabetes.
How did you become involved with this area of diabetes research or care?
I work at the Barbara Davis Center for Diabetes (BDC), which is a technology-forward institution committed to improving advanced diabetes technologies so that people with diabetes can live healthy lives with a better quality of life. I am also the director of the Pregnancy and Women’s Health Clinic at the BDC, so it was a natural fit to conduct clinical trials and perform research on continuous glucose monitoring (CGM), insulin pumps, and AID use in gestation. Diabetes increases risks for adverse outcomes in gestation, so if technology can provide a path forward to improve glycemic levels and health outcomes, I feel that research should be done to examine safety, efficacy, and patient-reported outcomes of these devices in pregnant individuals with diabetes.