Please note that the copy function is not enabled for this field.
If you wish to
modify
existing outcomes, please copy and paste the current outcome text into the Update field.
LOGIN
CREATE ACCOUNT
LOGIN
CREATE ACCOUNT
MY TRIALS
REGISTER TRIAL
FAQs
HINTS AND TIPS
DEFINITIONS
Trial Review
The ANZCTR website will be unavailable from 1pm until 3pm (AEDT) on Wednesday the 30th of October for website maintenance. Please be sure to log out of the system in order to avoid any loss of data.
The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been endorsed by the ANZCTR. Before participating in a study, talk to your health care provider and refer to this
information for consumers
Download to PDF
Trial registered on ANZCTR
Registration number
ACTRN12609001034224
Ethics application status
Approved
Date submitted
25/11/2009
Date registered
4/12/2009
Date last updated
9/07/2012
Type of registration
Prospectively registered
Titles & IDs
Public title
Dose Adjustment with Food Insulin Index: the DAFII study, comparing carbohydrate counting versus DAFII algorithm for estimating insulin dosage on measures of glycemic control in adults with type 1 diabetes consuming two different breakfast meals
Query!
Scientific title
To compare carbohydrate counting versus DAFII algorithm for estimating insulin dosage on measures of glycemic control in adults with type 1 diabetes consuming two different breakfast meals
Query!
Secondary ID [1]
1153
0
Nil
Query!
Universal Trial Number (UTN)
Query!
Trial acronym
DAFII study
Query!
Linked study record
Query!
Health condition
Health condition(s) or problem(s) studied:
Type 1 diabetes
252287
0
Query!
Condition category
Condition code
Metabolic and Endocrine
252468
252468
0
0
Query!
Diabetes
Query!
Intervention/exposure
Study type
Interventional
Query!
Description of intervention(s) / exposure
In this within-subject crossover study, two methods of adjusting the dose of insulin to match the nutrients in a meal will be compared on measures of postprandial glycemia control in adults with type 1 diabetes. One method, known as carbohydrate counting, uses an algorithm (= formula) that matches the bolus insulin dose to the carbohydrate content of the meal. The other method uses a novel algorithm based on the food’s normal insulin response in healthy subjects (DAFII algorithm). Three meal and bolus-dose algorithm combined conditions will be administered in a random order to each participant who is an experienced insulin pump user on three consecutive days. The three test conditions are as follows: 1) meal A (54 g grain bread, 23 ml raspberry jam and 177 g canned peach in syrup), containing 83 g of carbohydrate + bolus algorithm using carbohydrate counting; 2) meal B (59 g croissant, 96 g yogurt and 48 g poached egg), containing 41 g of carbohydrate + bolus algorithm using carbohydrate counting; 3) meal B + bolus using DAFII algorithm. According to DAFII algorithm, meal A and B have the same bolus insulin dose because of the same insulin demand. Therefore only 3 test conditions will be in randomization.
The blood glucose levels after meal will be monitored using both a continuous glucose monitoring system (CGMS) and finger-prick blood testings with a blood monitor at regular intervals over the next 3 hours.
Query!
Intervention code [1]
241605
0
Treatment: Drugs
Query!
Intervention code [2]
241606
0
Treatment: Devices
Query!
Comparator / control treatment
Carbohydrate counting, a standard formula to adjust the bolus insulin dose, serves as the control.
Query!
Control group
Dose comparison
Query!
Outcomes
Primary outcome [1]
253342
0
Postprandial blood glucose profile measured by a continuous glucose monitoring system (CGMS)
Query!
Assessment method [1]
253342
0
Query!
Timepoint [1]
253342
0
Measured after an overnight fast (10 to 12 hours) and over 3 hours after starting eating the breakfast meal
Query!
Primary outcome [2]
253343
0
Postprandial blood glucose profile measured by testing finger-prick blood with a blood glucose monitor
Query!
Assessment method [2]
253343
0
Query!
Timepoint [2]
253343
0
Measured after an overnight fast (10 to 12 hours) and at regular intervals over 3 hours postprandially ( 30, 60, 90, 120, 150, 180 minutes)
Query!
Secondary outcome [1]
262420
0
Hypoglycemia occurrence measured by a continuous glucose monitoring system (CGMS)
Query!
Assessment method [1]
262420
0
Query!
Timepoint [1]
262420
0
Measured after an overnight fast (10 to 12 hours) and over 3 hours postprandially
Query!
Eligibility
Key inclusion criteria
Adult patients with type I diabetes diagnosed for more than 1 year, age 18 - 70 years; use of insulin pump therapy, for more than 3 months; recent glycated haemoglobin (HbA1C) less than 9.0 % and reliably performing self-monitoring of blood glucose at least four times daily.
Query!
Minimum age
18
Years
Query!
Query!
Maximum age
70
Years
Query!
Query!
Sex
Both males and females
Query!
Can healthy volunteers participate?
No
Query!
Key exclusion criteria
Eating disorders; individuals using medication that may influence blood glucose profiles.
Query!
Study design
Purpose of the study
Prevention
Query!
Allocation to intervention
Randomised controlled trial
Query!
Procedure for enrolling a subject and allocating the treatment (allocation concealment procedures)
An outside investigator who is not directly involved with the study will randomize the order of test meal/insulin dose algorithm combination for identification numbers and seal these in labelled opaque envelopes prior to the commencement of the study. After inclusion into the study, participants are given an identification number, which has a previously allocated randomised meal / dose algorithm order.
Query!
Methods used to generate the sequence in which subjects will be randomised (sequence generation)
A randomisation digits table from a statistic book will be used to randomise the order of test meal / insulin dose algorithm combination for individual identification numbers.
Query!
Masking / blinding
Blinded (masking used)
Query!
Who is / are masked / blinded?
Query!
Query!
Query!
Query!
Intervention assignment
Crossover
Query!
Other design features
Query!
Phase
Not Applicable
Query!
Type of endpoint/s
Safety/efficacy
Query!
Statistical methods / analysis
Query!
Recruitment
Recruitment status
Not yet recruiting
Query!
Date of first participant enrolment
Anticipated
20/01/2010
Query!
Actual
Query!
Date of last participant enrolment
Anticipated
Query!
Actual
Query!
Date of last data collection
Anticipated
Query!
Actual
Query!
Sample size
Target
35
Query!
Accrual to date
Query!
Final
Query!
Recruitment in Australia
Recruitment state(s)
Query!
Funding & Sponsors
Funding source category [1]
256085
0
University
Query!
Name [1]
256085
0
The University of Sydney
Query!
Address [1]
256085
0
Level 4, Molecular and Microbial Biosciences (MMB) building, G08 The University of Sydney, NSW 2006
Query!
Country [1]
256085
0
Australia
Query!
Primary sponsor type
University
Query!
Name
The University of Sydney
Query!
Address
Level 4, Molecular and Microbial Biosciences (MMB) building, G08 The University of Sydney, NSW 2006
Query!
Country
Australia
Query!
Secondary sponsor category [1]
251428
0
None
Query!
Name [1]
251428
0
Query!
Address [1]
251428
0
Query!
Country [1]
251428
0
Query!
Other collaborator category [1]
971
0
Individual
Query!
Name [1]
971
0
Dr Gabrielle Howard, Endocrinologist
Query!
Address [1]
971
0
Level 2, 27 Belgrave St, Manly, NSW, 2095
Query!
Country [1]
971
0
Australia
Query!
Ethics approval
Ethics application status
Approved
Query!
Ethics committee name [1]
258177
0
Human Research Ethics Committee, the University of Sydney
Query!
Ethics committee address [1]
258177
0
Jane Foss Russell Building - G02 The University of Sydney NSW 2006
Query!
Ethics committee country [1]
258177
0
Australia
Query!
Date submitted for ethics approval [1]
258177
0
02/10/2009
Query!
Approval date [1]
258177
0
18/11/2009
Query!
Ethics approval number [1]
258177
0
11-2009/12211
Query!
Summary
Brief summary
In this within-subject crossover study in individuals with type 1 diabetes, we will compare two methods of adjusting the dose of insulin to match the nutrients in a meal. One method, known as carbohydrate counting, uses an algorithm (= formula) that matches the dose of insulin to the carbohydrate content of the meal. The second method uses a novel algorithm based on the food’s normal insulin response in healthy subjects (the Food Insulin Index or FII). Participants who are experienced users of insulin pumps will consume three breakfast meals and apply different insulin to food algorithms on 3 consecutive test days. Their blood glucose levels will be monitored using a continuous glucose monitoring system (CGMS) and finger-prick blood testings with a blood monitor over the next 3 hours. We hypothesize that using the novel FII to adjust mealtime insulin dose will improve blood glucose readings (ie reduce hyperglycaemia) without increasing the risk of hypoglycaemia, compared with carbohydrate counting.
Query!
Trial website
Query!
Trial related presentations / publications
Query!
Public notes
Query!
Contacts
Principal investigator
Name
30550
0
Query!
Address
30550
0
Query!
Country
30550
0
Query!
Phone
30550
0
Query!
Fax
30550
0
Query!
Email
30550
0
Query!
Contact person for public queries
Name
13797
0
Professor Jennie Brand-Miller
Query!
Address
13797
0
Room 472, Human Nutrition Unit, School of Molecular and Microbial Biosciences, G08, University of Sydney, NSW 2006
Query!
Country
13797
0
Australia
Query!
Phone
13797
0
+61 2 9351 3759
Query!
Fax
13797
0
+61 2 9351 6022
Query!
Email
13797
0
[email protected]
Query!
Contact person for scientific queries
Name
4725
0
Professor Jennie Brand-Miller
Query!
Address
4725
0
Room 472, Human Nutrition Unit, School of Molecular and Microbial Biosciences, G08, University of Sydney, NSW 2006
Query!
Country
4725
0
Australia
Query!
Phone
4725
0
+61 2 9351 3759
Query!
Fax
4725
0
+61 2 9351 6022
Query!
Email
4725
0
[email protected]
Query!
No information has been provided regarding IPD availability
What supporting documents are/will be available?
No Supporting Document Provided
Results publications and other study-related documents
Documents added manually
No documents have been uploaded by study researchers.
Documents added automatically
Source
Title
Year of Publication
DOI
Dimensions AI
Improving the Estimation of Mealtime Insulin Dose in Adults With Type 1 Diabetes The Normal Insulin Demand for Dose Adjustment (NIDDA) study
2011
https://doi.org/10.2337/dc11-0567
N.B. These documents automatically identified may not have been verified by the study sponsor.
Download to PDF