Diabetes RElated to Acute Pancreatitis and Its Mechanisms: Metabolic Outcomes Using Novel CGM Metrics
Start Date
10/16/2024
Completion Date
3/31/2027
Summary
The DREAM-ON study will investigate whether continuous glucose monitoring (CGM) is useful to predict risk for developing diabetes mellitus (DM) and pre-diabetes mellitus (PDM), the need for insulin therapy among those who develop DM, and to determine whether CGM can provide insight into the pathophysiology and DM subtype among participants who have experienced an episode of acute pancreatitis (AP). Thus, the results of the DREAM-ON study could inform future clinical practice guidelines for the management AP as well as potentially extending the licensing authorization for CGM to include use in patients with pancreatogenic (Type 3c) DM.
Detailed Description
The primary objective of the DREAM-ON study is to determine if continuous glucose monitoring (CGM) metrics can predict the incidence of prediabetes mellitus (PDM) and diabetes mellitus (DM) after an episode of acute pancreatitis (AP). Secondary objectives of the DREAM-ON study include determining if CGM metrics predict the need for insulin therapy in participants who develop diabetes mellitus after AP, and if CGM metrics correlate with measures of insulin secretion and insulin resistance. The specific aims of the DREAM-ON study are as follows: Aim 1: To test whether standard CGM metrics predict incident DM. The investigators will perform blinded CGM in DREAM-ON participants at their scheduled visits at months 3, 12, 24 and subsequent annual visits. The investigators will test whether standard CGM metrics (mean glucose, time in tight range 70-140, time in range 70-180, time above 180 mg/dL, time above 250 mg/dL and glucose CV) predict incident DM determined by fasting plasma glucose (FPG), HbA1c, oral glucose tolerance testing (OGTT) and clinical report. Aim 2: To test whether CGM metrics predict need for insulin therapy in patients who develop DM after AP. From blinded CGM, we will test whether standard CGM metrics (mean glucose, time in tight range 70-140, time in range 70-180, time above 180 mg/dL, time above 250 mg/dL and glucose CV) as well as other indices of glucose variability, including mean amplitude of glycemic excursions (MAGE), predict need for long-term insulin therapy. Aim 3: To determine whether CGM metrics correlate with measures of insulin secretion and insulin resistance. The investigators will test whether standard and advanced CGM metrics correlate with measures of insulin secretion and insulin resistance derived from the OGTT, the mixed meal tolerance test (MMT) and the frequently sampled intravenous glucose tolerance test (FSIGTT). The investigators also will test whether these metrics can be used as a surrogate to predict diabetes subtype (i.e., insulin deficient vs. insulin resistant).
Eligibility Criteria
Age Range: 18 years to 75 years
Interventions
Dexcom Continuous Glucose Monitor (CGM)
Conditions
Locations
University of Southern California
Los Angeles, California 90033
United States
Cedars-Sinai Medical Center
Los Angeles, California 90048
United States
Stanford University
Stanford, California 94305
United States
University of Florida
Gainesville, Florida 32610-0214
United States
AdventHealth
Orlando, Florida 32804
United States
Northwestern University
Chicago, Illinois 60611
United States
University of Illinois at Chicago
Chicago, Illinois 60612
United States
Indiana University
Indianapolis, Indiana 46202
United States
Johns Hopkins University
Baltimore, Maryland 21205
United States
University of Minnesota
Minneapolis, Minnesota 55454
United States
Ohio State University
Columbus, Ohio 43210
United States
University of Pittsburgh
Pittsburgh, Pennsylvania 15213
United States
Benaroya Research Institute
Seattle, Washington 98101
United States