Trial Outcomes & Findings for CGM Precision and Glycaemic Variability (NCT NCT03842683)
NCT ID: NCT03842683
Last Updated: 2019-11-20
Results Overview
Continuous glucose monitoring (CGM) measurements are delayed compared to blood glucose. The CGM signal is time-shifted -1 minute at a time and the mean absolute difference between CGM and blood glucose measurements are calculated at each step. The lowest mean absolute difference depicts the optimal time shift in minutes. The resultant mean absolute relative difference is provided as outcome. Publication reference: https://doi.org/10.1177/1932296819848721
COMPLETED
472 participants
16 weeks
2019-11-20
Participant Flow
Participant milestones
| Measure |
Continuous Glucose Monitoring Users
User of continuous glucose monitoring (CGM) and continuous subcutaneous insulin infusion (CSII)
|
|---|---|
|
Overall Study
STARTED
|
472
|
|
Overall Study
COMPLETED
|
472
|
|
Overall Study
NOT COMPLETED
|
0
|
Reasons for withdrawal
Withdrawal data not reported
Baseline Characteristics
Race and Ethnicity were not collected from any participant.
Baseline characteristics by cohort
| Measure |
CGM Users
n=472 Participants
User of CGM and CSII
|
|---|---|
|
Age, Continuous
|
44 years
STANDARD_DEVIATION 15 • n=472 Participants
|
|
Sex: Female, Male
Female
|
203 Participants
n=472 Participants
|
|
Sex: Female, Male
Male
|
269 Participants
n=472 Participants
|
|
BMI
|
26 kg/m^2
STANDARD_DEVIATION 4 • n=472 Participants
|
|
HbA1c
|
7.5 % of glycated hemoglobin
STANDARD_DEVIATION 0.5 • n=472 Participants
|
PRIMARY outcome
Timeframe: 16 weeksContinuous glucose monitoring (CGM) measurements are delayed compared to blood glucose. The CGM signal is time-shifted -1 minute at a time and the mean absolute difference between CGM and blood glucose measurements are calculated at each step. The lowest mean absolute difference depicts the optimal time shift in minutes. The resultant mean absolute relative difference is provided as outcome. Publication reference: https://doi.org/10.1177/1932296819848721
Outcome measures
| Measure |
CGM Users
n=472 Participants
User of CGM and CSII
|
|---|---|
|
Optimal Time Shift of Continuous Glucose Monitoring Measurements
|
1.01 Percentage point change in MARD
Interval 0.77 to 1.25
|
SECONDARY outcome
Timeframe: 16 weeksPopulation: Nine people from the original study did not have sufficient CGM, insulin, or meal data for the calculation of features.
Area under the receiver operating characteristics curve (ROC-AUC) is a measure of the prediction capabilities of a prediction algorithm. Each point of the curve gives a sensitivity and a specificity of the prediction. Publication reference: https://doi.org/10.1177/1932296819868727
Outcome measures
| Measure |
CGM Users
n=463 Participants
User of CGM and CSII
|
|---|---|
|
Area Under the Receiver Operating Characteristics Curve of the Hypoglycemia Prediction
|
0.79 probability
Interval 0.74 to 0.85
|
Adverse Events
CGM Users
Serious adverse events
Adverse event data not reported
Other adverse events
Adverse event data not reported
Additional Information
Dr. Morten Hasselstrøm Jensen
Steno Diabetes Center North Denmark
Results disclosure agreements
- Principal investigator is a sponsor employee
- Publication restrictions are in place