Trial Outcomes & Findings for Adapting Diabetes Treatment Expert Systems to Patient in Type 1 Diabetes (NCT NCT04443153)

NCT ID: NCT04443153

Last Updated: 2025-10-28

Results Overview

Glucose Variability (GV) as measured by CGM-based Coefficient of Variation (CV), as recommended by the International Consensus on Use of Continuous Glucose Monitoring.

Recruitment status

COMPLETED

Study phase

NA

Target enrollment

88 participants

Primary outcome timeframe

Assessed over the last 4 weeks (Weeks 4 - 8), for each intervention

Results posted on

2025-10-28

Participant Flow

Study enrollment began September 4, 2020, and all study activities were completed on September 19, 2024. As defined in the protocol, a participant is considered enrolled when the informed consent form has been signed by the participant and the study team. Eighty-eight (88) signed consent, and 26 participants screen failed, withdrew, or dropped prior to screening.

Once eligibility and device training was completed, participants completed a minimum of 14 days (if CGM use within the preceding 3 months) or 4 weeks (if no CGM use within the preceding 3 months) of home use of the DiAs system in Sensor-Augmented Mode (SAM). One participant elected to withdraw from the study.

Participant milestones

Participant milestones
Measure
Escalation
Subjects randomized to this arm will proceed from SAM to PF to DSS Personalized Feedback: 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. Decision Support System: CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges Sensor Augmented Mode: 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.
De-escalation
Subjects randomized to this arm will proceed from DSS to PF to SAM Personalized Feedback: 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. Decision Support System: CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges Sensor Augmented Mode: 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.
First intervention (8 weeks)
STARTED
32
29
First intervention (8 weeks)
COMPLETED
30
27
First intervention (8 weeks)
NOT COMPLETED
2
2
Second intervention (8 weeks)
STARTED
30
27
Second intervention (8 weeks)
COMPLETED
27
26
Second intervention (8 weeks)
NOT COMPLETED
3
1
Third Intervention (8 weeks)
STARTED
27
26
Third Intervention (8 weeks)
COMPLETED
27
26
Third Intervention (8 weeks)
NOT COMPLETED
0
0

Reasons for withdrawal

Reasons for withdrawal
Measure
Escalation
Subjects randomized to this arm will proceed from SAM to PF to DSS Personalized Feedback: 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. Decision Support System: CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges Sensor Augmented Mode: 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.
De-escalation
Subjects randomized to this arm will proceed from DSS to PF to SAM Personalized Feedback: 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. Decision Support System: CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges Sensor Augmented Mode: 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.
First intervention (8 weeks)
Withdrawal by Subject
2
0
First intervention (8 weeks)
Lost to Follow-up
0
2
Second intervention (8 weeks)
Withdrawal by Subject
1
1
Second intervention (8 weeks)
Lost to Follow-up
2
0

Baseline Characteristics

Adapting Diabetes Treatment Expert Systems to Patient in Type 1 Diabetes

Baseline characteristics by cohort

Baseline characteristics by cohort
Measure
Escalation
n=27 Participants
Subjects randomized to this arm will proceed from SAM to PF to DSS Personalized Feedback: 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. Decision Support System: CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges Sensor Augmented Mode: 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.
De-escalation
n=26 Participants
Subjects randomized to this arm will proceed from DSS to PF to SAM Personalized Feedback: 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. Decision Support System: CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges Sensor Augmented Mode: 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.
Total
n=53 Participants
Total of all reporting groups
Age, Continuous
37.7 years
STANDARD_DEVIATION 11.1 • n=5 Participants
36.9 years
STANDARD_DEVIATION 12.7 • n=7 Participants
37.3 years
STANDARD_DEVIATION 11.8 • n=5 Participants
Sex/Gender, Customized
Gender · Male
11 Participants
n=5 Participants
13 Participants
n=7 Participants
24 Participants
n=5 Participants
Sex/Gender, Customized
Gender · Female
16 Participants
n=5 Participants
12 Participants
n=7 Participants
28 Participants
n=5 Participants
Sex/Gender, Customized
Gender · Prefer not to say
0 Participants
n=5 Participants
1 Participants
n=7 Participants
1 Participants
n=5 Participants
Ethnicity (NIH/OMB)
Hispanic or Latino
0 Participants
n=5 Participants
0 Participants
n=7 Participants
0 Participants
n=5 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
26 Participants
n=5 Participants
25 Participants
n=7 Participants
51 Participants
n=5 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
1 Participants
n=5 Participants
1 Participants
n=7 Participants
2 Participants
n=5 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants
n=5 Participants
0 Participants
n=7 Participants
0 Participants
n=5 Participants
Race (NIH/OMB)
Asian
1 Participants
n=5 Participants
0 Participants
n=7 Participants
1 Participants
n=5 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
n=5 Participants
0 Participants
n=7 Participants
0 Participants
n=5 Participants
Race (NIH/OMB)
Black or African American
2 Participants
n=5 Participants
2 Participants
n=7 Participants
4 Participants
n=5 Participants
Race (NIH/OMB)
White
24 Participants
n=5 Participants
24 Participants
n=7 Participants
48 Participants
n=5 Participants
Race (NIH/OMB)
More than one race
0 Participants
n=5 Participants
0 Participants
n=7 Participants
0 Participants
n=5 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants
n=5 Participants
0 Participants
n=7 Participants
0 Participants
n=5 Participants
Highest education level
High school degree or equivalent (e.g., GED)
4 Participants
n=5 Participants
4 Participants
n=7 Participants
8 Participants
n=5 Participants
Highest education level
Some college but no degree
2 Participants
n=5 Participants
5 Participants
n=7 Participants
7 Participants
n=5 Participants
Highest education level
Associate degree
5 Participants
n=5 Participants
2 Participants
n=7 Participants
7 Participants
n=5 Participants
Highest education level
Bachelor degree
11 Participants
n=5 Participants
8 Participants
n=7 Participants
19 Participants
n=5 Participants
Highest education level
Graduate degree
5 Participants
n=5 Participants
7 Participants
n=7 Participants
12 Participants
n=5 Participants
Last year household income
Less than $20,000
1 Participants
n=5 Participants
0 Participants
n=7 Participants
1 Participants
n=5 Participants
Last year household income
$20,000 - $44,999
1 Participants
n=5 Participants
2 Participants
n=7 Participants
3 Participants
n=5 Participants
Last year household income
$45,000 - $99,999
15 Participants
n=5 Participants
12 Participants
n=7 Participants
27 Participants
n=5 Participants
Last year household income
$100,000 - $149,999
4 Participants
n=5 Participants
8 Participants
n=7 Participants
12 Participants
n=5 Participants
Last year household income
$150,000 - $199,999
3 Participants
n=5 Participants
2 Participants
n=7 Participants
5 Participants
n=5 Participants
Last year household income
More than $200,000
1 Participants
n=5 Participants
1 Participants
n=7 Participants
2 Participants
n=5 Participants
Last year household income
Prefer not to answer
2 Participants
n=5 Participants
1 Participants
n=7 Participants
3 Participants
n=5 Participants
Health Insurance
Private insurance through my employer
19 Participants
n=5 Participants
16 Participants
n=7 Participants
35 Participants
n=5 Participants
Health Insurance
Self-insured with private health insurance
3 Participants
n=5 Participants
2 Participants
n=7 Participants
5 Participants
n=5 Participants
Health Insurance
Public state or federal health insurance (Medicaid, Medicare, Veteran's Health Affairs...)
3 Participants
n=5 Participants
6 Participants
n=7 Participants
9 Participants
n=5 Participants
Health Insurance
Uninsured
2 Participants
n=5 Participants
1 Participants
n=7 Participants
3 Participants
n=5 Participants
Health Insurance
Prefer not to answer
0 Participants
n=5 Participants
1 Participants
n=7 Participants
1 Participants
n=5 Participants
Number of participants with each infusion set type
MDI
18 Participants
n=5 Participants
14 Participants
n=7 Participants
32 Participants
n=5 Participants
Number of participants with each infusion set type
Pump
9 Participants
n=5 Participants
12 Participants
n=7 Participants
21 Participants
n=5 Participants

PRIMARY outcome

Timeframe: 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.

Outcome measures

Outcome measures
Measure
Escalation
n=27 Participants
Subjects randomized to this arm will proceed from SAM to PF to DSS Personalized Feedback: 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. Decision Support System: CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges Sensor Augmented Mode: 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.
De-escalation
n=26 Participants
Subjects randomized to this arm will proceed from DSS to PF to SAM Personalized Feedback: 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. Decision Support System: CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges Sensor Augmented Mode: 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.
Glycemic Outcomes
SAM
36.3 Percent of coefficient of variation
Standard Deviation 4.0
35.7 Percent of coefficient of variation
Standard Deviation 6.7
Glycemic Outcomes
PF
37.5 Percent of coefficient of variation
Standard Deviation 5.3
35.8 Percent of coefficient of variation
Standard Deviation 6.0
Glycemic Outcomes
DSS
38.6 Percent of coefficient of variation
Standard Deviation 5.1
35.8 Percent of coefficient of variation
Standard Deviation 6.6

SECONDARY outcome

Timeframe: Assessed over the last 4 weeks (Weeks 4 - 8), for each intervention

Percentage of time blood glucose was below 54mg/dL as per CGM

Outcome measures

Outcome measures
Measure
Escalation
n=27 Participants
Subjects randomized to this arm will proceed from SAM to PF to DSS Personalized Feedback: 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. Decision Support System: CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges Sensor Augmented Mode: 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.
De-escalation
n=26 Participants
Subjects randomized to this arm will proceed from DSS to PF to SAM Personalized Feedback: 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. Decision Support System: CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges Sensor Augmented Mode: 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.
Percent Time in Clinical Hypoglycemia
SAM
0.5 Percent of time
Standard Deviation 0.8
0.7 Percent of time
Standard Deviation 0.7
Percent Time in Clinical Hypoglycemia
PF
0.6 Percent of time
Standard Deviation 0.6
0.6 Percent of time
Standard Deviation 1.0
Percent Time in Clinical Hypoglycemia
DSS
0.7 Percent of time
Standard Deviation 0.9
0.6 Percent of time
Standard Deviation 0.9

SECONDARY outcome

Timeframe: Assessed over the last 4 weeks (Weeks 4 - 8), for each intervention

Percentage of time blood glucose was below 70mg/dL as per CGM

Outcome measures

Outcome measures
Measure
Escalation
n=27 Participants
Subjects randomized to this arm will proceed from SAM to PF to DSS Personalized Feedback: 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. Decision Support System: CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges Sensor Augmented Mode: 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.
De-escalation
n=26 Participants
Subjects randomized to this arm will proceed from DSS to PF to SAM Personalized Feedback: 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. Decision Support System: CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges Sensor Augmented Mode: 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.
Percent Time Below Recommended Threshold
SAM
2.5 Percentage of time
Standard Deviation 2.4
3.5 Percentage of time
Standard Deviation 3.3
Percent Time Below Recommended Threshold
PF
3.1 Percentage of time
Standard Deviation 2.6
2.8 Percentage of time
Standard Deviation 2.9
Percent Time Below Recommended Threshold
DSS
2.8 Percentage of time
Standard Deviation 2.3
2.9 Percentage of time
Standard Deviation 2.9

SECONDARY outcome

Timeframe: 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

Outcome measures

Outcome measures
Measure
Escalation
n=27 Participants
Subjects randomized to this arm will proceed from SAM to PF to DSS Personalized Feedback: 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. Decision Support System: CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges Sensor Augmented Mode: 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.
De-escalation
n=26 Participants
Subjects randomized to this arm will proceed from DSS to PF to SAM Personalized Feedback: 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. Decision Support System: CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges Sensor Augmented Mode: 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.
Percent Time in Target Range
SAM
53.9 Percentage of time
Standard Deviation 16.9
60.1 Percentage of time
Standard Deviation 16.9
Percent Time in Target Range
PF
53.6 Percentage of time
Standard Deviation 18.3
61.1 Percentage of time
Standard Deviation 16.1
Percent Time in Target Range
DSS
53.3 Percentage of time
Standard Deviation 16.0
57.5 Percentage of time
Standard Deviation 15.8

SECONDARY outcome

Timeframe: Assessed over the last 4 weeks (Weeks 4 - 8), for each intervention

Percentage of time blood glucose was above 180mg/dL as per CGM

Outcome measures

Outcome measures
Measure
Escalation
n=27 Participants
Subjects randomized to this arm will proceed from SAM to PF to DSS Personalized Feedback: 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. Decision Support System: CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges Sensor Augmented Mode: 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.
De-escalation
n=26 Participants
Subjects randomized to this arm will proceed from DSS to PF to SAM Personalized Feedback: 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. Decision Support System: CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges Sensor Augmented Mode: 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.
Percent Time Above Range
SAM
43.6 Percent of time
Standard Deviation 18.2
36.4 Percent of time
Standard Deviation 18.8
Percent Time Above Range
PF
43.3 Percent of time
Standard Deviation 19.7
36.1 Percent of time
Standard Deviation 17.4
Percent Time Above Range
DSS
43.9 Percent of time
Standard Deviation 16.7
39.6 Percent of time
Standard Deviation 16.6

SECONDARY outcome

Timeframe: Assessed over the last 4 weeks (Weeks 4 - 8), for each intervention

Percentage of time blood glucose was above 250mg/dL as per CGM

Outcome measures

Outcome measures
Measure
Escalation
n=27 Participants
Subjects randomized to this arm will proceed from SAM to PF to DSS Personalized Feedback: 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. Decision Support System: CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges Sensor Augmented Mode: 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.
De-escalation
n=26 Participants
Subjects randomized to this arm will proceed from DSS to PF to SAM Personalized Feedback: 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. Decision Support System: CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges Sensor Augmented Mode: 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.
Percent Time Above 250 mg/dL
SAM
16.6 Percentage of time
Standard Deviation 12.6
11.4 Percentage of time
Standard Deviation 11.0
Percent Time Above 250 mg/dL
PF
18.4 Percentage of time
Standard Deviation 14.5
12.2 Percentage of time
Standard Deviation 12.0
Percent Time Above 250 mg/dL
DSS
19.4 Percentage of time
Standard Deviation 14.8
13.3 Percentage of time
Standard Deviation 11.5

SECONDARY outcome

Timeframe: Assessed over the last 4 weeks (Weeks 4 - 8), for each intervention

average of CGM values

Outcome measures

Outcome measures
Measure
Escalation
n=27 Participants
Subjects randomized to this arm will proceed from SAM to PF to DSS Personalized Feedback: 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. Decision Support System: CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges Sensor Augmented Mode: 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.
De-escalation
n=26 Participants
Subjects randomized to this arm will proceed from DSS to PF to SAM Personalized Feedback: 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. Decision Support System: CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges Sensor Augmented Mode: 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.
Average Glycemia
SAM
179.1 mg/dl
Standard Deviation 32.3
164.9 mg/dl
Standard Deviation 31.2
Average Glycemia
PF
179.8 mg/dl
Standard Deviation 35.5
167.3 mg/dl
Standard Deviation 30.6
Average Glycemia
DSS
182.2 mg/dl
Standard Deviation 33.0
172.2 mg/dl
Standard Deviation 27.5

SECONDARY outcome

Timeframe: 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.

Outcome measures

Outcome measures
Measure
Escalation
n=27 Participants
Subjects randomized to this arm will proceed from SAM to PF to DSS Personalized Feedback: 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. Decision Support System: CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges Sensor Augmented Mode: 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.
De-escalation
n=26 Participants
Subjects randomized to this arm will proceed from DSS to PF to SAM Personalized Feedback: 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. Decision Support System: CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges Sensor Augmented Mode: 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.
Low Blood Glucose Index
SAM
0.7 index
Standard Deviation 0.5
0.9 index
Standard Deviation 0.7
Low Blood Glucose Index
PF
0.8 index
Standard Deviation 0.6
0.8 index
Standard Deviation 0.7
Low Blood Glucose Index
DSS
0.8 index
Standard Deviation 0.5
0.7 index
Standard Deviation 0.6

SECONDARY outcome

Timeframe: 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.

Outcome measures

Outcome measures
Measure
Escalation
n=27 Participants
Subjects randomized to this arm will proceed from SAM to PF to DSS Personalized Feedback: 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. Decision Support System: CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges Sensor Augmented Mode: 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.
De-escalation
n=26 Participants
Subjects randomized to this arm will proceed from DSS to PF to SAM Personalized Feedback: 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. Decision Support System: CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges Sensor Augmented Mode: 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.
High Blood Glucose Index
SAM
10.6 index
Standard Deviation 5.7
8.3 index
Standard Deviation 5.0
High Blood Glucose Index
PF
11.0 index
Standard Deviation 6.2
8.7 index
Standard Deviation 5.3
High Blood Glucose Index
DSS
11.4 index
Standard Deviation 6.2
9.4 index
Standard Deviation 4.8

Adverse Events

Sensor-augmented mode (SAM)

Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths

Personalized Feedback (PF)

Serious events: 1 serious events
Other events: 0 other events
Deaths: 0 deaths

Decision support system (DSS)

Serious events: 1 serious events
Other events: 0 other events
Deaths: 0 deaths

Serious adverse events

Serious adverse events
Measure
Sensor-augmented mode (SAM)
n=53 participants at risk
Sensor Augmented Mode: 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.
Personalized Feedback (PF)
n=53 participants at risk
Personalized Feedback: 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.
Decision support system (DSS)
n=53 participants at risk
Decision Support System: CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges
Endocrine disorders
Severe Hypoglycemia
0.00%
0/53 • 7 months
Adverse Event definitions are the same as ClinicalTrials.Gov. Please see protocol for further details about adverse event reporting.
1.9%
1/53 • Number of events 1 • 7 months
Adverse Event definitions are the same as ClinicalTrials.Gov. Please see protocol for further details about adverse event reporting.
0.00%
0/53 • 7 months
Adverse Event definitions are the same as ClinicalTrials.Gov. Please see protocol for further details about adverse event reporting.

Other adverse events

Adverse event data not reported

Additional Information

Marc Breton, PhD

UVA Center for Diabetes Technology

Phone: 434-982-6484

Results disclosure agreements

  • Principal investigator is a sponsor employee
  • Publication restrictions are in place