Diabetes Working Group


Goals and Objectives

The UCfC Diabetes Working Group aims to advance understanding of how type 1, type 2, and gestational diabetes impact maternal, fetal, and perinatal outcomes. The group seeks to integrate clinical, glycemic, and psychosocial data across five UC centers to inform evidence-based interventions that optimize maternal health while promoting favorable fetal/neonatal outcomes.


Active Projects

FADED Study: Fatalism and distress: the emotional toll of diabetes in pregnancy 

  • This is a prospective, longitudinal, survey-based study designed to explore the emotional and behavioral impacts of having diabetes in pregnancy. Specifically, the goal is to evaluate the level of health fatalism and diabetes distress across pregnancy and postpartum in people with type 1 diabetes (T1D), type 2 diabetes (T2D), or gestational diabetes (GD) will fill out multiple surveys across pregnancy and after delivery 

POSTPOD Trial: Postpartum Continuous Glucose Monitoring for Type 2 Diabetes Mellitus Risk Evaluation in Patients with Gestational Diabetes Mellitus: 

  • This is a pilot study designed to evaluate the effectiveness of continuous glucose monitoring (CGM) within hours of delivery to predict long-term risk of Type 2 Diabetes Mellitus in patients diagnosed with gestational diabetes.

AIMING RCT: Automated Insulin Delivery for Management of Intrapartum Glycemic

  • This is a randomized controlled trial designed to evaluate if automated insulin delivery (AID) systems can be used for glucose management during labor/delivery for pregnant people with type 1 diabetes (T1D). The study aims to understand neonatal outcomes, birth satisfaction, and glycemic parameters associated with intrapartum use of AID systems compared with intrapartum intravenous (IV) insulin, which is the current standard of care. 

COSCLIP Study: Commercial or Open-Source Closed Loop Impact on Pregnancy

  • This is a prospective, longitudinal, observational study designed to better understand what happens when pregnant people with type 1 diabetes (T1D) use automated insulin delivery (AID) systems. The goal is to compare pregnant people who use commercial AID systems and pregnant people who use open-source AID systems to see if clinical, glycemic, and/or behavioral outcomes are different with these different types of systems.

Publications


Presentations


Members

Nancy Field (UC Davis)

Judith Chung (UC Irvine) 

Christina Han (UC Los Angeles) 

Kimberly Huynh (UC Los Angeles) 

Sandy Ramos (UC San Diego)

Erin Gallent (UC San Diego)

Nasim Sobhani (UC San Francisco) 

Ivonne Verduzco (UC San Francisco) 

Students

Rujuta Sathe (UC Los Angeles)