Oregon Health and Science University
Portland, Oregon, 97239, United States
NCT Number: NCT05967260
This is a single-center, open-label, crossover trial with two arms and two periods (2x2) and one-week washout period. The study is designed to evaluate the efficacy of an AI-based bedtime smart snack intervention in reducing nocturnal low glucose in people living with T1D on MDI therapy compared with traditional CGM-augmented MDI therapy as the control.
Looking for future studies?
Notify Me18 year–100 year
All sexes
Interventional
Not applicable
Portland, Oregon, 97239, United States
Participants will be randomized to either first use CGM only to manage glucose for four weeks (control arm) followed by four weeks of DailyDose App + bedtime smart snack intervention (intervention arm), or vice-versa. There will be a one-week washout period between arms.
During the control arm, participants will wear CGM and will manage their glucose as usual. Participants will be asked to wear a smart watch overnight to collect sleep metrics, weigh themselves weekly in the morning before eating, and answer a one-item sleep quality scale survey weekly. We will collect CGM measurements during the control arm for evaluation of effect of intervention and assessment of the accuracy of low glucose prediction.
During the intervention arm, participants will use the DailyDose Smart Snack smart phone app. When they are getting ready for bed, an AI-based model in DailyDose will predict the likelihood of overnight low glucose at bedtime and will recommend a personalized snack to help avoid nocturnal hypoglycemia. The nutritional content of the snack (carbohydrate, protein, fat, etc.) will be dependent on the predicted overnight minimum glucose and the predicted time of the minimum overnight glucose level. During this arm, participants will also be asked to wear a smart watch overnight, weigh themselves weekly, and answer a one-item sleep quality scale survey weekly.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
A decision support tool that predicts the likelihood of overnight low blood sugar based on current CGM and inputted exercise. App will recommend a snack at bedtime based on the minimum low glucose predicted and the time of the low glucose.
A commercially available Continuous Glucose Monitoring system that utilizes a transmitter and sensor to measure sensor glucose levels that transmit to a smart phone app.
Time frame: 8 weeks (4-week control period vs. 4-week intervention period)
An episode of overnight hypoglycemia is counted if sensor glucose is <70 mg/dL for at least two measurements during an eight-hour period following announced bedtime. This is assessed by number of episodes divided by total number of nights.
Time frame: 8 weeks (4-week control period vs. 4-week intervention period)
Number of hours until first CGM measurement <70 mg/dL when CGM remains < 70 mg/dL for at least 10 minutes.
Time frame: 8 weeks (4-week control period vs. 4-week intervention period)
Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are less than 54 mg/dL overnight (announced bedtime + 8 hours).
Time frame: 8 weeks (4-week control period vs. 4-week intervention period)
Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are less than 54 mg/dL across the full 24-hour/day study duration.
Time frame: 8 weeks (4-week control period vs. 4-week intervention period)
Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are less than 70 mg/dL overnight (announced bedtime + 8 hours).
Time frame: 8 weeks (4-week control period vs. 4-week intervention period)
Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are less than 70 mg/dL across the 24-hour/day study duration.
Time frame: 8 weeks (4-week control period vs. 4-week intervention period)
Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are between 70 and 180 mg/dL overnight (announced bedtime + 8 hours).
Time frame: 8 weeks (4-week control period vs. 4-week intervention period)
Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are between 70 and 180 mg/dL across the full 24-hour/day study duration.
Time frame: 8 weeks (4-week control period vs. 4-week intervention period)
Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are greater than 180 mg/dL overnight (announced bedtime + 8 hours).
Time frame: 8 weeks (4-week control period vs. 4-week intervention period)
Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are greater than 180 mg/dL across the full 24-hour/day study duration.
Time frame: 8 weeks (4-week control period vs. 4-week intervention period)
Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are greater than 250 mg/dL overnight (announced bedtime + 8 hours).
Time frame: 8 weeks (4-week control period vs. 4-week intervention period)
Assess the mean percentage of time that the Dexcom G6 reported sensor glucose values are greater than 250 mg/dL across the full 24-hour/day study duration.
Time frame: 8 weeks (4-week control period vs. 4-week intervention period)
Assess the mean reported sensor glucose values overnight (announced bedtime + 8 hours) using the Dexcom sensor.
Time frame: 8 weeks (4-week control period vs. 4-week intervention period)
Assess the mean reported sensor glucose values across the full 24-hour/day study duration using the Dexcom sensor.
Time frame: 4 weeks of control period
Assessment of accuracy of the overnight low glucose prediction algorithm by sensitivity. This is measured by the number of true positives that the algorithm predicts hypoglycemia overnight divided by all of the hypoglycemic events.
Time frame: 4 weeks of control period
Assessment of accuracy of the overnight low glucose prediction algorithm by specificity. This is measured by calculating 1.0 minus the false positive rate for overnight hypoglycemia prediction.
Time frame: 8 weeks (4-week control period vs. 4-week intervention period)
Asses mean weight change from start to end of each arm.
Oregon Health and Science University
Other
A Crossover Study to Assess the Effect of an Artificial Intelligence (AI)-Based Bedtime Smart Snack Intervention in Preventing Overnight Low Glucose in People With T1D on Multiple Daily Injections.
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
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.
Published trials that share one or more normalized conditions with this study.
NCT04614168
Autoimmune Diseases, Diabetes Mellitus
Edinburgh, United Kingdom
View Trial DetailsNCT04233138
Type 1 Diabetes Mellitus With Hypoglycemia
Montreal, Quebec, Canada
View Trial DetailsNCT03163511
Type 1 Diabetes Mellitus With Hypoglycemia
Duarte, California, United States
View Trial DetailsNCT06097689
Autoimmune Diseases, Diabetes Mellitus
Bern, Canton of Bern, Switzerland
View Trial Details