Diabetes Mellitus, Type 1 Clinical Trial
Official title:
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
| Verified date | March 2020 |
| Source | Universitat Politècnica de València |
| Contact | n/a |
| Is FDA regulated | No |
| Health authority | |
| Study type | Interventional |
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.
| Status | Completed |
| Enrollment | 12 |
| Est. completion date | January 31, 2020 |
| Est. primary completion date | January 23, 2020 |
| Accepts healthy volunteers | No |
| Gender | All |
| Age group | 18 Years to 60 Years |
| Eligibility |
Inclusion Criteria: 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. Exclusion Criteria: - 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 |
| Country | Name | City | State |
|---|---|---|---|
| Spain | Hospital Francesc de Borja | Gandia | Valencia |
| Lead Sponsor | Collaborator |
|---|---|
| Jorge Bondia | Hospital Francesc de Borja, Gandia, Spain, Ministerio de Economía y Competitividad, Spain |
Spain,
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. Review. — View Citation
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. Review. — View Citation
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. — View Citation
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. — View Citation
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. — View Citation
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Other | Time in range | Time in acceptable glucose range (70-180 mg/dl) | 6 hours (time in range during the 6 hour post-prandial period) | |
| Other | C Max | Maximum of plasma glucose concentration | 6 hours (maximum plasma glucose concentration during the 6 hour post-prandial period) | |
| Other | T max | Time of Maximum plasma glucose concentration | 6 hours (Time of maximum plasma glucose concentration during the 6 hour post-prandial period) | |
| Other | Hormones and metabolites | Plasma concentration of free fatty acids, beta-OH-butyrate, lactate, alanine, counterregulatory hormones | 6 hours (plasma hormones and metabolites will be measured every 30 minutes during the 6-hour post-prandial period) | |
| Primary | 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 | AUC-PG | Area Under the Curve (AUC) of Plasma Glucose in the 0-6h, 0-3h and 3-6h post-prandial periods | 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. |
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