Impact of Meal Composition and Alcohol Consumption on Postprandial Glycemic Control in Subjects With Type 1 Diabetes
Evaluación Del Impacto de la composición Nutricional de la Ingesta y Del Consumo de Alcohol en el Control glucémico Postprandial en Pacientes Con Diabetes Tipo 1
1 other identifier
interventional
12
1 country
1
Brief Summary
Postprandial glucose control is a challenging issue in everyday diabetes care. Indeed, excessive postprandial glucose excursions are the major contributors to plasma glucose (PG) variability in subjects with type 1 diabetes (T1DM). In addition, the poor reproducibility of postprandial glucose response is burdensome for patients and healthcare professionals. 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Oct 2018
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
October 20, 2017
CompletedFirst Posted
Study publicly available on registry
October 25, 2017
CompletedStudy Start
First participant enrolled
October 25, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 23, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
January 31, 2020
CompletedMarch 9, 2020
March 1, 2020
1.2 years
October 20, 2017
March 6, 2020
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Plasma Glucose
Post-prandial plasma glucose time series
6 hours (plasma glucose will be measured every 5-15 minutes during the 6-hour post-prandial period of each mixed meal test).
Secondary Outcomes (1)
AUC-PG
AUC of plasma glucose will be calculated for the whole 6 hour post-prandial period, for the early 0-3 hour post-prandial period and for the late 3-6 hour post-prandial period.
Other Outcomes (4)
Time in range
6 hours (time in range during the 6 hour post-prandial period)
C Max
6 hours (maximum plasma glucose concentration during the 6 hour post-prandial period)
T max
6 hours (Time of maximum plasma glucose concentration during the 6 hour post-prandial period)
- +1 more other outcomes
Study Arms (3)
Low Protein-Low Fat study
ACTIVE COMPARATORSubjects will receive a mixed meal with carbohydrates (70g) plus a low content of proteins and fats
High Protein-High Fat study
EXPERIMENTALSubjects will receive a mixed meal with the same carbohydrates content of arm 1 (70g), but a greater amount of fats and proteins
High Protein-High Fat & alcohol study
EXPERIMENTALSubjects will receive the same mixed meal of the High Protein-High Fat study plus 0,7g of alcohol per Kg of weight
Interventions
A mixed meal with identical amount of carbohydrates but different content of protein, fat and alcohol will be given
Eligibility Criteria
You may qualify if:
- Patients with type 1 diabetes mellitus for more than one year, aged between 18 and 60 years; on intensive insulin therapy by means of CSII (continuous subcutaneous insulin infusion) or MDI (multiple daily injections) for at least 6 months before screening; glycosylated haemoglobin of 6-8.5%; without severe chronic micro- and macroangiopathic diabetic complications and with a body mass index (BMI) between 18 and 30 kg/m2.
You may not qualify if:
- Pregnancy and lactation
- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Jorge Bondialead
- Hospital Francesc de Borja, Gandia, Spaincollaborator
- Ministerio de Economía y Competitividad, Spaincollaborator
Study Sites (1)
Hospital Francesc de Borja
Gandia, Valencia, 46072, Spain
Related Publications (6)
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.
PMID: 25998293BACKGROUNDBell 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.
PMID: 27388474BACKGROUNDBarnard 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.
PMID: 22248115BACKGROUNDTurner 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.
PMID: 11679452BACKGROUNDKerr 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.
PMID: 17263767BACKGROUNDGarcia 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.
PMID: 34620620DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Paolo Rossetti, PhD
Hospital Francesc de Borja, Gandia
- STUDY DIRECTOR
Jorge Bondia Company, PhD
Universitat Politècnica de València
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Masking Details
- Data analysis will be carried out by a person not involved in the study (she/he will be blind to the study condition)
- Purpose
- OTHER
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Associate Professor
Study Record Dates
First Submitted
October 20, 2017
First Posted
October 25, 2017
Study Start
October 25, 2018
Primary Completion
January 23, 2020
Study Completion
January 31, 2020
Last Updated
March 9, 2020
Record last verified: 2020-03