- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT01799512
Glucose Control in the ICU Using Continuous Glucose Monitoring (REGIMEN)
Randomized Evaluation of Glycaemic Control in the Medical Intensive Care Unit Using Continuous Glucose Monitoring (REGIMEN Trial)
Stress hyperglycemia occurs in 50-85% of patients admitted to a medical intensive care unit (MICU) and is associated with increased morbidity and mortality. However, randomized controlled trials examining the effects of strict glycemic control demonstrated conflicting results. A common finding in these trials was the high risk of hypoglycaemia.
This randomized controlled trial evaluates the impact of real-time continuous glucose monitoring (RT-CGM) on glycemic control and risk of hypoglycemia in severely ill MICU patients with an APACHE-II (Acute Physiology and Chronic Health Evaluation II) score ≥20.
Study Overview
Status
Conditions
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
-
Antwerp, Belgium, 2020
- Middelheim General Hospital
-
Edegem, Belgium, 2650
- Antwerp University Hospital
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Patients admitted to a medical intensive care unit
- age: ≥ 18 y , < 75 y
- APACHE II (Acute Physiology and Chronic Health Evaluation II) score ≥ 20
- expected length of stay in ICU > 3 days
Exclusion Criteria:
- pregnancy
- patient with a DNR (do not reanimate) code
- surgical patient
- no informed consent
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Double
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: real-time continuous glucose monitoring
real-time continuous glucose monitoring: Use will be made of the online real-time (RT) monitoring facility of the GlucoDay® (a continuous glucose monitoring (CGM)system). This will allow immediate adaptation of the insulin dose in order to maintain values within an optimal range. The same IV insulin infusion protocol will be used in the experimental and the active comparator group (adapted Yale protocol). When glycaemic changes of >25 mg/dl per 30 minutes are observed from the RT-CGM - GlucoDay data, this will be checked by measuring arterial blood glucose and the insulin infusion rate will be adapted according to the adapted Yale protocol. |
Other Names:
|
|
Active Comparator: blinded continuous glucose monitoring
In the active comparator group the same continuous glucose monitoring device (GlucoDay) will be used in a blinded fashion. Glucose data will be analysed retrospectively. IV insulin infusion will be adapted according to arterial blood glucose values, using the adapted Yale protocol. |
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
percentage of time that patients are in target range of glycaemia (80-110 mg/dl)
Time Frame: participants will be followed for 96 hours (4 days), during the first week after admission to the medical ICU
|
after admission to the ICU, patients will be screened to check inclusion criteria, and CGM monitoring will commence within the first 48hrs after admission.
CGM monitoring will be performed during 96 hours (4 days), during the first week after admission to the medical ICU
|
participants will be followed for 96 hours (4 days), during the first week after admission to the medical ICU
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
percentage of time that patients are in hypoglycaemic range
Time Frame: participants will be followed for 96 hours (4 days), during the first week after admission to the medical ICU
|
after admission to the ICU, patients will be screened to check inclusion criteria, and CGM monitoring will commence within the first 48hrs after admission.
CGM monitoring will be performed during 96 hours (4 days), during the first week after admission to the medical ICU
|
participants will be followed for 96 hours (4 days), during the first week after admission to the medical ICU
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
accuracy of continuous glucose monitoring
Time Frame: participants will be followed for 96 hours (4 days), during the first week after admission to the medical ICU
|
error grid analysis, analysing all data of the 4 days of continuous glucose monitoring period
|
participants will be followed for 96 hours (4 days), during the first week after admission to the medical ICU
|
|
glycaemic fluctuations
Time Frame: participants will be followed for 96 hours (4 days), during the first week after admission to the medical ICU
|
standard deviation of mean glucose value over 4 days, analysing all data of the 4 days of continuous glucose monitoring period
|
participants will be followed for 96 hours (4 days), during the first week after admission to the medical ICU
|
|
accuracy of continuous glucose monitoring
Time Frame: participants will be followed for 96 hours (4 days), during the first week after admission to the medical ICU
|
Bland-Altman bias plot will be evaluated, analysing all data of the 4 days of continuous glucose monitoring period
|
participants will be followed for 96 hours (4 days), during the first week after admission to the medical ICU
|
|
accuracy of continuous glucose monitoring
Time Frame: participants will be followed for 96 hours (4 days), during the first week after admission to the medical ICU
|
mean absolute error and mean relative error will be evaluated, analysing all data of the 4 days of continuous glucose monitoring period
|
participants will be followed for 96 hours (4 days), during the first week after admission to the medical ICU
|
|
glycaemic fluctuations
Time Frame: participants will be followed for 96 hours (4 days), during the first week after admission to the medical ICU
|
MAGE (mean amplitude of glucose excursions), analysing all data of the 4 days of continuous glucose monitoring period
|
participants will be followed for 96 hours (4 days), during the first week after admission to the medical ICU
|
|
glycaemic fluctuations
Time Frame: participants will be followed for 96 hours (4 days), during the first week after admission to the medical ICU
|
CONGA (continuous overlapping net glycemic action), analysing all data of the 4 days of continuous glucose monitoring period
|
participants will be followed for 96 hours (4 days), during the first week after admission to the medical ICU
|
|
glycaemic fluctuations
Time Frame: participants will be followed for 96 hours (4 days), during the first week after admission to the medical ICU
|
area under curve (within target glycemia range, above target, below target) analysing all data of the 4 days of continuous glucose monitoring period
|
participants will be followed for 96 hours (4 days), during the first week after admission to the medical ICU
|
|
glycaemic fluctuations
Time Frame: participants will be followed for 96 hours (4 days), during the first week after admission to the medical ICU
|
MODD: mean of daily differences; analysing all data of the 4 days of continuous glucose monitoring period
|
participants will be followed for 96 hours (4 days), during the first week after admission to the medical ICU
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Christophe De Block, MD PhD, Antwerp University Hospital, Dept of Endocrinology, Diabetology & Metabolism
Publications and helpful links
General Publications
- De Block C, Manuel-Y-Keenoy B, Van Gaal L, Rogiers P. Intensive insulin therapy in the intensive care unit: assessment by continuous glucose monitoring. Diabetes Care. 2006 Aug;29(8):1750-6. doi: 10.2337/dc05-2353.
- De Block C, Manuel-y-Keenoy B, Rogiers P, Jorens P, Van Gaal L. Glucose control and use of continuous glucose monitoring in the intensive care unit: a critical review. Curr Diabetes Rev. 2008 Aug;4(3):234-44. doi: 10.2174/157339908785294460.
- Goldberg PA, Siegel MD, Sherwin RS, Halickman JI, Lee M, Bailey VA, Lee SL, Dziura JD, Inzucchi SE. Implementation of a safe and effective insulin infusion protocol in a medical intensive care unit. Diabetes Care. 2004 Feb;27(2):461-7. doi: 10.2337/diacare.27.2.461.
- Shetty S, Inzucchi SE, Goldberg PA, Cooper D, Siegel MD, Honiden S. Adapting to the new consensus guidelines for managing hyperglycemia during critical illness: the updated Yale insulin infusion protocol. Endocr Pract. 2012 May-Jun;18(3):363-70. doi: 10.4158/EP11260.OR.
- Holzinger U, Warszawska J, Kitzberger R, Wewalka M, Miehsler W, Herkner H, Madl C. Real-time continuous glucose monitoring in critically ill patients: a prospective randomized trial. Diabetes Care. 2010 Mar;33(3):467-72. doi: 10.2337/dc09-1352. Epub 2009 Dec 10.
- De Block CE, Gios J, Verheyen N, Manuel-y-Keenoy B, Rogiers P, Jorens PG, Scuffi C, Van Gaal LF. Randomized Evaluation of Glycemic Control in the Medical Intensive Care Unit Using Real-Time Continuous Glucose Monitoring (REGIMEN Trial). Diabetes Technol Ther. 2015 Dec;17(12):889-98. doi: 10.1089/dia.2015.0151. Epub 2015 Aug 25.
Study record dates
Study Major Dates
Study Start
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- REGIMEN (Alias Study Number)
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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