Impact of Meal Composition and Alcohol Consumption on Postprandial Glycemic Control in Subjects With Type 1 Diabetes
NCT ID: NCT03320993
Last Updated: 2020-03-09
Study Results
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Basic Information
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COMPLETED
NA
12 participants
INTERVENTIONAL
2018-10-25
2020-01-31
Brief Summary
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To date, the majority of prandial insulin dosing algorithms for subjects with T1DM considers only the carbohydrate (CHO) content of the meal. However, there is evidence (although with a certain degree of heterogeneity) that meal composition significantly affects postprandial glucose control, contributing to glycemic variability. Moreover, despite the high prevalence of alcohol consumption among patients with T1DM (about 30%, similar to that of the general population), data regarding its effect on the postprandial period are very limited.
This project will evaluate the effect of meal composition and alcohol consumption on postprandial glucose control in subjects with T1DM under intensive insulin treatment.
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Detailed Description
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Aim:
To assess the effect of mixed meal composition on postprandial glycemic control, in subjects with type 1 diabetes:
1. Combined effect of proteins and fats
2. Effect of alcohol consumption
Methods:
Each subject will undergo three mixed meal test studies (on three different days), with identical CHO content: On one occasion a low fat-low protein meal will be given, and on another a high fat-high protein one, both consumed with a non-alcoholic drink; on a third occasion the same high fat-high protein meal will be consumed, but this time accompanied by an equal volume of an alcoholic drink.
Patients will arrive at the research unit at 8:00 am and their blood glucose will be stabilized around 90 mg/dl before each mixed meal test. After the mixed meal, blood will be drawn every 5-30 min during a 6 hour post-prandial period to assess plasma glucose, hormones and metabolites concentration.
Conditions
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Study Design
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RANDOMIZED
CROSSOVER
OTHER
SINGLE
Study Groups
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Low Protein-Low Fat study
Subjects will receive a mixed meal with carbohydrates (70g) plus a low content of proteins and fats
Mixed meal with different macronutrient composition
A mixed meal with identical amount of carbohydrates but different content of protein, fat and alcohol will be given
High Protein-High Fat study
Subjects will receive a mixed meal with the same carbohydrates content of arm 1 (70g), but a greater amount of fats and proteins
Mixed meal with different macronutrient composition
A mixed meal with identical amount of carbohydrates but different content of protein, fat and alcohol will be given
High Protein-High Fat & alcohol study
Subjects will receive the same mixed meal of the High Protein-High Fat study plus 0,7g of alcohol per Kg of weight
Mixed meal with different macronutrient composition
A mixed meal with identical amount of carbohydrates but different content of protein, fat and alcohol will be given
Interventions
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Mixed meal with different macronutrient composition
A mixed meal with identical amount of carbohydrates but different content of protein, fat and alcohol will be given
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* Hypoglycemia unawareness
* Fatal or progressive disease
* Drugs or alcohol abuse
* HIV, active hepatitis B, active hepatitis C
* Hepatic disease (aminotransferases AST or ALT \>2 times above normal)
* Clinically relevant microangiopathic disease, or other diseases that may interfere with participation in the study or data analysis
* Pre-planned surgery
* Blood donation in the previous 3 months for men and 6 months for women
* Mental conditions that may interfere with the subject's comprehension of the aims and possible consequences of the study
* Non-compliant subjects
* Use of experimental medications or devices during the previous 30 days
18 Years
60 Years
ALL
No
Sponsors
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Hospital Francesc de Borja, Gandia, Spain
UNKNOWN
Ministerio de Economía y Competitividad, Spain
OTHER_GOV
Jorge Bondia
OTHER
Responsible Party
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Jorge Bondia
Associate Professor
Principal Investigators
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Paolo Rossetti, PhD
Role: PRINCIPAL_INVESTIGATOR
Hospital Francesc de Borja, Gandia
Jorge Bondia Company, PhD
Role: STUDY_DIRECTOR
Universitat Politècnica de València
Locations
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Hospital Francesc de Borja
Gandia, Valencia, Spain
Countries
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References
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Bell KJ, Smart CE, Steil GM, Brand-Miller JC, King B, Wolpert HA. Impact of fat, protein, and glycemic index on postprandial glucose control in type 1 diabetes: implications for intensive diabetes management in the continuous glucose monitoring era. Diabetes Care. 2015 Jun;38(6):1008-15. doi: 10.2337/dc15-0100.
Bell KJ, Toschi E, Steil GM, Wolpert HA. Optimized Mealtime Insulin Dosing for Fat and Protein in Type 1 Diabetes: Application of a Model-Based Approach to Derive Insulin Doses for Open-Loop Diabetes Management. Diabetes Care. 2016 Sep;39(9):1631-4. doi: 10.2337/dc15-2855. Epub 2016 Jul 7.
Barnard K, Sinclair JM, Lawton J, Young AJ, Holt RI. Alcohol-associated risks for young adults with Type 1 diabetes: a narrative review. Diabet Med. 2012 Apr;29(4):434-40. doi: 10.1111/j.1464-5491.2012.03579.x.
Turner BC, Jenkins E, Kerr D, Sherwin RS, Cavan DA. The effect of evening alcohol consumption on next-morning glucose control in type 1 diabetes. Diabetes Care. 2001 Nov;24(11):1888-93. doi: 10.2337/diacare.24.11.1888.
Kerr D, Cheyne E, Thomas P, Sherwin R. Influence of acute alcohol ingestion on the hormonal responses to modest hypoglycaemia in patients with Type 1 diabetes. Diabet Med. 2007 Mar;24(3):312-6. doi: 10.1111/j.1464-5491.2006.02054.x.
Garcia A, Moscardo V, Ramos-Prol A, Diaz J, Boronat M, Bondia J, Rossetti P. Effect of meal composition and alcohol consumption on postprandial glucose concentration in subjects with type 1 diabetes: a randomized crossover trial. BMJ Open Diabetes Res Care. 2021 Oct;9(1):e002399. doi: 10.1136/bmjdrc-2021-002399.
Other Identifiers
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DPI2016-78831-C2-1-R_alcohol
Identifier Type: -
Identifier Source: org_study_id
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