Study Stopped
COVID-19
Scripps Digital Diabetes: Cloud-Based Continuous Glucose Monitoring (CB CGM)
1 other identifier
interventional
6
1 country
1
Brief Summary
Individuals with diabetes in the hospital often experience poor glycemic control, which places them at greater risk for infection, neurological and cardiac complications, mortality, longer lengths of stay, readmissions, and higher healthcare costs. There are few effective interventions for monitoring hospital glucose management therefore the long-term goal of developing Cloud-Based Real-Time Glucose Evaluation and Management System is to provide an effective, real-time continuous glucose monitoring solution necessary for clinical decision-making which can be easily managed for clinical risk 24 hrs/day. The innovative intervention will enable hospital care teams to take immediate steps based on wireless transmission of glucose data from the Dexcom G6 device, sent to a Digital Dashboard, where integration with existing real-world hospital processes can provide immediate prioritization to prevent or correct impending hypoglycemia and severe hyperglycemic events. This randomized controlled trial is defined as a Phase III/IV definitive clinical trial to establish efficacy and effectiveness of this intervention. Aim 1 will assess mean differences of % time in range between intervention and Usual Care groups to find occurrence of glucose levels that are in range at 70-200mg/dL. Aim 2 will apply the same method, using % time above range of \>300mg/dL (severe hyperglycemia) and % time below range \<70mg/dL (hypoglycemia). Poor glycemic control in the hospital is common and given the known consequences of uncontrolled blood sugars during a hospitalization, health systems devote significant resources to developing protocols for improving glucometrics. The likely impact of this innovative research is to have an efficient, and seamless alternative for continually monitoring glucose levels in the hospital. The Digital Dashboard facilitates real-time, remote monitoring of a large volume of patients simultaneously; automatically identifies and prioritizes patients for intervention; and will detect any and all potentially dangerous hypoglycemic episodes. The work proposed pushes the limits of these challenges by providing evidence, identified by a team-based approach to glucose management in an underserved and understudied population supplementing prior data designed to improve outcomes among high-risk patients with type 2 diabetes (T2D) and related cardio metabolic conditions. The proposed intervention is flexible, sustainable, and has high dissemination potential.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable diabetes-mellitus-type-2
Started Feb 2020
Shorter than P25 for not_applicable diabetes-mellitus-type-2
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
February 10, 2020
CompletedFirst Posted
Study publicly available on registry
February 17, 2020
CompletedStudy Start
First participant enrolled
February 25, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 17, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
March 17, 2020
CompletedMay 17, 2023
May 1, 2023
21 days
February 10, 2020
May 15, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
Percentage time-in-range of interstitial glucose values
Percentage time-in-range (70-200 mg/dL) of interstitial glucose values
Through duration of index hospitalization, an average of 3 days
Percentage time in hypoglycemia of interstitial glucose values
Percentage time in hypoglycemia (\<70 mg/dL) of interstitial glucose values
Through duration of index hospitalization, an average of 3 days
Percentage time in severe hyperglycemia of interstitial glucose values
Percentage time in severe hyperglycemia (\>300 mg/dL) of interstitial glucose values
Through duration of index hospitalization, an average of 3 days
Secondary Outcomes (4)
Infection rates
Through duration of index hospitalization, an average of 3 days
Length of stay (LOS)
Through duration of index hospitalization, an average of 3 days
Cost of hospitalization
Through duration of index hospitalization, an average of 3 days
Hospital readmission rate
30 days from the discharge date of the index hospitalization
Other Outcomes (1)
CGM Satisfaction
Through duration of hospitalization, an average of 3 days
Study Arms (2)
Intervention CB CGM
EXPERIMENTALOn CB CGM patients, CGM data will also be transmitted from the bedside smartphone to the Digital Dashboard. The Digital Dashboard will integrate CGM data for CB CGM's participants for presentation via two views: (1) Real-Time Management and (2) Clinical Optimization. Telemetry technicians to conduct site-based monitoring, and the Diabetes APN will conduct remote management of patients at the site from a central, Scripps Diabetes Hub, per below. (Note, as CGMs are not FDA-approved for in-hospital glucose management, CB CGM participants will also have their glucose monitored via the hospital's standard POC testing protocol described for UC).
Usual Care
NO INTERVENTIONFor UC, CGM data will be blinded to the care team and used for evaluation purposes only. Glucose will be monitored via the hospital's standard POC testing protocol (i.e., prior to meals and at bedtime for patients who are eating, and every 4-6 waking hours for patients who are not eating). Glucose management in UC is designed to minimize differences between groups, aside from CGM monitoring: UC (and intervention) participants' glucose levels will be managed using the glucose management protocol and the Diabetes APN will assess UC participants' POC data documented in the EMR from the previous 24-48 hours and make recommendations for changes to the basal/bolus regimen to improve glucose management.
Interventions
The CGM data will be transmitted via bluetooth to a smartphone. The smartphone will automatically transmit values to a secure cloud-based platform, which then populates to the: (1) web-based, CGM data management tool for evaluation purposes (both groups), and (2) Digital Dashboard for monitoring and intervention (intervention only).
Eligibility Criteria
You may qualify if:
- ≥ 18 years of age
- English or Spanish speaker
- ≥ one of the following: diagnosis of type 2 diabetes documented in the EMR, or use of anti-hyperglycemic agent documented in the EMR, or serum or POC glucose \> 200 mg/dL in the first 24 hours of admission
You may not qualify if:
- Anticipated LOS \< 24 hours
- Current or anticipated ICU placement
- Does not speak English or Spanish
- Known adhesive allergy
- Current participation in medication or device study
- Pregnant
- Any other condition that the PI Dr. Philis-Tsimikas or the attending physician deem contraindicated
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Scripps Whittier Diabetes Institutelead
- DexCom, Inc.collaborator
Study Sites (1)
Scripps Whittier Diabetes Institute
La Jolla, California, 92037, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Athena Philis-Tsimikas, MD
Scripps Whittier Diabetes Institute
- STUDY DIRECTOR
Addie Fortmann, PhD
Scripps Whittier Diabetes Institute
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
February 10, 2020
First Posted
February 17, 2020
Study Start
February 25, 2020
Primary Completion
March 17, 2020
Study Completion
March 17, 2020
Last Updated
May 17, 2023
Record last verified: 2023-05