Diabetes Mellitus, Type 1 Clinical Trial
Official title:
What is the Dose Response of Varying Meal Content of Fat on Postprandial Glycaemia in Children With Type 1 Diabetes Mellitus?
Background: Based on international evidence, current management of people with T1DM on
intensive insulin therapy (IIT) use algorithms based on the meal carbohydrate content (MCC)
to calculate the prandial insulin dose. Typically, these calculations do not take into
account the protein or fat content of the meal. There is a lack of clinical advice for
optimal management of high protein/fat meals due to a paucity of evidence regarding the
impact of protein/fat on glycaemic control.
Objective: To determine the mean glucose excursion from fasting (measured by continuous
glucose monitoring, CGMS) at each 30 minute interval over the 8 hour postprandial period for
each test condition. Protein effects will be looked at in a separate parallel study in
Australia.
Hypothesis: The fat content of a meal will cause a dose-response change in the postprandial
glucose concentration in children with T1DM.
Research Design and Methods: Randomised cross-over study involving thirty patients. Inclusion
criteria: T1DM >1 year, aged 8-18 years, with HbA1c <8% and BMI <91st centile, on intensive
insulin therapy. Participants will be given a test meal on 6 consecutive nights in random
order; 4 test meals varying in fat content, and one 20g carbohydrate test meal with zero fat
given as control meal. A CGMS will be used to assess glucose responses at 5 minute intervals
for 8 hours after test meal consumption. The relationship between the fat loads in the test
meals and the mean change in postprandial glucose concentration will be analysed and
described.
Conclusions: This study will determine whether fat causes dose dependent response in glucose
concentrations leading to refining the guidelines and possible adjustment of insulin doses
for the fat content of a meal.
1. Aims of the project To determine the postprandial glucose dose-response curves response
to varying fat amounts by studying various parameters (glycaemic excursion, rate of
glucose level increase, area under the curve, percent time in target glucose range,
maximal glucose excursion, time to maximal glucose excursion and time until the glucose
level returns to fasting concentration) provided by continuous glucose monitoring over a
6 day study period with a view to provide data to calculate an accurate insulin dosing
schedule to account for varying dietary fat ingestion.
Objective 1 To define the impact of varying quantities (dose) of fat on the
post-prandial glucose concentrations i.e. determine the relationship between the fat
load in the test meals and the mean change in postprandial glucose concentrations.
Objective 2 To compare the impact of the varying fat quantities in the test meals each
with a control carbohydrate snack (20g) without extra insulin.
2. Protocol Participants will be contacted daily for one week prior to the study to review
their overnight and fasting glucose concentrations and if necessary, adjust their
insulin doses. The study will be carried out during a week long period for each patient.
Participants will be given test meals over 6 consecutive days in random order, with 5
test meals varying in lipid content and one carbohydrate (20g) test meal as comparator.
A continuous glucose monitoring system (CGMS) will be inserted on the day of the first
test meal and will be removed at the completion of the sixth night.
To define the impact of lipid on the post-prandial glucose concentration, participants
will consume a standardised meal at 18:00hours and receive a standard insulin bolus by
injection or pump (using standard wave bolus if on insulin pump) based on the meal
carbohydrate content. At 22:00 hours the participants will consume a lipid test meal
dose (varying fat content of 2.5, 12.5, 25, 37.5, 50g) or carbohydrate snack 20g. The
calculations of the fat doses have been based on the Pankowska algorithm [3] which
recommends additional insulin for every 100 kcal fat or protein. There will be
randomised order of test meals.
Test meals will be formulated to be palatable, consumed within 5 minutes and to contain
negligible carbohydrate, protein and fibre. A dietician will design the test meals in
conjunction with the co-investigator in detail to ensure ease of formulation and
practical administration.
The lipid dose in test meals will be tested for acceptability and palatability to ensure
adherence to protocol. The order of the test meal types/carbohydrate snacks will be
random (computer generated randomisation). The comparator 20g carbohydrate snack has
been included to assess the participant's typical glucose response to 20g of
carbohydrate. No insulin will be given for the lipid or carbohydrate snacks.
Participants will fast until breakfast.
3. Outcomes Glucose concentrations will be measured at the start of the test meal and at 5
minute intervals over the 8 hour postprandial period. Therefore, the data will consist
of repeated measurements on the same individual within test meal loads as well as the
same individuals across test meal loads.
The primary outcome of interest will be the Area Under the Curve (AUC) of glucose
concentrations during the post prandial 8 hours. Linear regressions, within a generalised
linear mixed model framework, will be used to test for a dose response in AUCs with
increasing size of fat means.
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