University of Virginia Center for Diabetes Technology
Charlottesville, Virginia, 22903, United States
NCT Number: NCT04443153
This study is evaluate the superior efficacy of a Continuous Glucose Monitor (CGM)-based advisory system in Type 1 Diabetes Mellitus (T1DM), as compared to Sensor Augmented Mode (SAM) therapy, and with characterizing the impact of psycho-behavioral factors on system performance, which will enable system individualization and lead to automated adaptation of advice delivery to optimize glycemic control and reduce the system's psychological impact.
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Notify Me18 year and older
All sexes
Interventional
Not applicable
Charlottesville, Virginia, 22903, United States
Four cohorts of about 25 participants each (expected retention 20 per cohort). Each cohort will continue for ~7 months. Following recruitment, screening, and a run-in period of SAM, participants will be randomized into one of two groups: escalation vs. de-escalation of devices and function. Each treatment modality (SAM - Sensor-Augmented Mode, PF - Personalized Feedback, DSS - Decision Support Systems) will continue for about 8 weeks, with the last 4 weeks used to assess glucose variability (GV) from CGM data.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Provides tailored information to the user about what glycemic risk they may be facing as well as how glycemic control and system use looked in the past week. Treatment decision and therapy changes are entirely left to the decision of the user.
CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges
A mode in Diabetes Assistant (DiAs) that combines Diabetes Assistant, Insulin pump or Multiple Daily Injections, CGM, ketone meters, and glycemic treatment guidelines together to manage diabetes.
Time frame: Assessed over the last 4 weeks (Weeks 4 - 8), for each intervention
Glucose Variability (GV) as measured by CGM-based Coefficient of Variation (CV), as recommended by the International Consensus on Use of Continuous Glucose Monitoring.
Time frame: Assessed over the last 4 weeks (Weeks 4 - 8), for each intervention
Percentage of time blood glucose was below 54mg/dL as per CGM
Time frame: Assessed over the last 4 weeks (Weeks 4 - 8), for each intervention
Percentage of time blood glucose was below 70mg/dL as per CGM
Time frame: Assessed over the last 4 weeks (Weeks 4 - 8), for each intervention
Percentage of time blood glucose was 70mg/dL and 180mg/dL as per CGM
Time frame: Assessed over the last 4 weeks (Weeks 4 - 8), for each intervention
Percentage of time blood glucose was above 180mg/dL as per CGM
Time frame: Assessed over the last 4 weeks (Weeks 4 - 8), for each intervention
Percentage of time blood glucose was above 250mg/dL as per CGM
Time frame: Assessed over the last 4 weeks (Weeks 4 - 8), for each intervention
average of CGM values
Time frame: Assessed over the last 4 weeks (Weeks 4 - 8), for each intervention
The low blood glucose index (LBGI) is based on a nonlinear transformation of blood glucose values that corrects for the asymmetry of the glucose scale. This transformation maps glucose values into a risk space (minimum risk = 0), where higher values correspond to higher risk. Values <1 suggest low risk of hypoglycemia.
Time frame: Assessed over the last 4 weeks (Weeks 4 - 8), for each intervention
The high blood glucose index (HBGI) is based on a nonlinear transformation of blood glucose values that corrects for the asymmetry of the glucose scale. This transformation maps glucose values into a risk space (minimum risk = 0), where higher values correspond to higher risk. Values below 10 suggest low to moderate risk.
University of Virginia
Other
Adapting Diabetes Treatment Expert Systems to Patient's Expectations and Psychobehavioral Characteristics in Type 1 Diabetes
Acronym: DSS-2
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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