Introduction and Objective: To evaluate the impact of psychosocial factors, as assessed by the INSPIRE Questionnaire, and perceptions of technology efficacy (TES metrics) on glycemic outcomes and user acceptance of FCL systems in adults with type 1 diabetes.Methods: Data were analyzed from a cohort of 12 adults with T1D who participated in a 1-week at […]
Read MoreMonth: June 2025
922-P: Fear of Hypoglycemia after Ramadan Fasting among People with Type 1 Diabetes—A Multicenter Study from Saudi Arabia
Introduction and Objective: Intermittent fasting, including Ramadan fasting, increases the risk of hypoglycemia in people with type 1 diabetes (PWT1D). We examined the prevalence and predictors of fear of hypoglycemia (FOH) after Ramadan in PWT1D who attempted to fast.Methods: Fasting experience, glycemic control, and FOH were evaluated in 159 PWT1D who attempted to fast Ramadan […]
Read More250-OR: Cytokines Differentially Alter Tight Junctional Proteins to Increase Retinal Microvascular Endothelial Cell Permeability
Introduction and Objective: Inflammation is associated with progression of diabetic retinopathy (DR). Inflammatory cytokines tumor necrosis factor alpha (TNFα), interleukin-1β (IL-1β), and interleukin-6 (IL-6) are elevated in DR and trigger retinal microvascular leakage. RMEC tight junction complexes include the transmembrane proteins occludin and ZO-1. Diabetic relevant stimuli cause changes in occludin and ZO-1 localization and […]
Read More921-P: Impact of Heart Rate and Step Count on Deep Learning Glucose Prediction Models during Physical Activity
Introduction and Objective: Accurate glucose prediction is vital for effective glucose management during physical activity (PA) [1], as PA significantly impacts glucose dynamics. This study evaluates the integration of heart rate (HR) and step count per minute (SCPM) data into deep learning (DL)-based glucose prediction models.Methods: The T1DEXI dataset [2] was used (561 T1D adults […]
Read More1651-P: Lactate Is Associated with Established Markers of Metabolic Dysfunction in Late Pregnancy
Introduction and Objective: The utility of lactate as an indicator of metabolic dysfunction during pregnancy is unknown. This study determined if blood lactate is related to established markers of metabolic dysfunction (insulin resistance, obesity, substrate oxidation) in pregnancy. Methods: Respiratory quotient (RQ) and blood was collected before and serially after a high-fat meal. Glucose and […]
Read More920-P: The Relationship between Glycemia and Insulin Sensitivity Factor
Introduction and Objective: Insulin sensitivity factor (ISF) is often considered constant in Automated Insulin Delivery systems and other insulin therapies, but ISF varies with glycemia [1]. This study assesses the impact of glycemia (G) on ISF using real-life data.Methods: Data from 11,201 T1D adults using the DBLG1 System since March 2021 was used. G peaks […]
Read More1222-P: Insulin Dose Adjustment Policy for CDCES—Safe and Effective
Introduction and Objective: In 4T Study 1, youth with new-onset T1D start CGM <30 days after diagnosis, receive weekly remote CGM data review by a CDCES, and dose changes via secure portal messaging. We describe the policy CDCES used to make dose adjustments and report the safety and effectiveness of CDCESs, making incremental dose changes […]
Read More91-OR: Imaging β-Cell Response to Oral Glucose Stimulation with Quantitative Blood Oxygenation Dependent (qBOLD) MRI
Introduction and Objective: The failure of pancreatic β-cells is a central feature of diabetes, yet measures of β-cell function in humans, such as clamp-derived variables, are invasive and sensitive to other factors (i.e., insulin resistance, insulin clearance, etc.). Since glucose-stimulated insulin release is coupled to pancreas oxygen consumption, we tested qBOLD MRI as a non-invasive […]
Read More1038-P: Enhanced CGM Metrics in Adults over 65 Compared with Younger Adults
Introduction and Objective: Continuous glucose monitoring (CGM) has been associated with improved glycemic outcomes in older patients with Diabetes Mellitus (DM). Older patients may face barriers to use including challenges with technology. We are not aware of any comparison between older and younger adults. We studied if older age is associated with less favorable CGM […]
Read More919-P: Sex Differences in Glycemic Outcomes Using Fully Automated Closed Loop (FCL) System in Type 1 Diabetes (T1D)—Insights and Implications
Introduction and Objective: Diabetes management and outcomes often differ by sex, influenced by biological and psychobehavioral factors. Our objective was to examine sex differences in glycemic outcomes during the safety and feasibility testing of the AIDANET automated insulin delivery system (AID)Methods: Participants with T1D enrolled in a randomized crossover trial of usual care (overwhelmingly AID […]
Read More