Dietary carbohydrate consumption is a key factor influencing postprandial glycemia for patients with type 1 diabetes mellitus (T1DM). Because post-prandial glucose excursions profoundly influence hemoglobin A1c (HbA1c), therapeutic approaches to mitigate post-prandial hyperglycemia are of great importance. The quantity and source of carbohydrates affect post-prandial glycemia more than any other dietary factor. These findings serve as the physiologic basis for a growing interest in carbohydrate-restricted diets in the management of T1DM despite American Diabetes Association (ADA) guidelines that discourage restricting total carbohydrate intake to less than 130 grams per day. Although case series and prospective studies suggest low-carbohydrate diets (LCD) significantly improve HbA1c for adults with T1DM, data in the pediatric T1DM population is limited. The investigators will conduct a randomized prospective pilot study evaluating glycemic control, lipidemia, and quality of life (QOL) in pediatric T1DM patients on a LCD.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
Enrollment
39
The investigators will prescribe isocaloric diets equaling the estimated energy requirements of the Institute of Medicine with varying macronutrient content in each group.
Vanderbilt University Medical Center
Nashville, Tennessee, United States
Change in HbA1c
HbA1c (%) change will be measured from baseline to 12 weeks
Time frame: Baseline to week 12
Percent of Time Spent in the Glycemic Target of 70 - 140 mg/dL
Percent of time is calculated from data collected from the continuous glucose monitor worn by participants. T1DM participants were instructed in the use of a continuous glucose monitor (CGM) for the monitoring of glycemia during the study. Participants were shown how to upload CGM data into a HIPAA and FDA-compliant cloud-based, data-integration platform for analysis.
Time frame: Baseline to Week 12
Percent of Time Spent Above the Glycemic Target of 140 mg/dL
Percent of time is calculated from data collected from the continuous glucose monitor worn by participants. T1DM participants were instructed in the use of a continuous glucose monitor (CGM) for the monitoring of glycemia during the study. Participants were shown how to upload CGM data into a HIPAA and FDA-compliant cloud-based, data-integration platform for analysis.
Time frame: Baseline to Week 12
Percent of Time Spent Below the Glycemic Target of 70 mg/dL
Percent of time is calculated from data collected from the continuous glucose monitor worn by participants. T1DM participants were instructed in the use of a continuous glucose monitor (CGM) for the monitoring of glycemia during the study. Participants were shown how to upload CGM data into a HIPAA and FDA-compliant cloud-based, data-integration platform for analysis.
Time frame: Baseline to Week 12
Percent of Time Spent in Hypoglycemia Below 50 mg/dL
Percent of time is calculated from data collected from the continuous glucose monitor worn by participants. T1DM participants were instructed in the use of a continuous glucose monitor (CGM) for the monitoring of glycemia during the study. Participants were shown how to upload CGM data into a HIPAA and FDA-compliant cloud-based, data-integration platform for analysis.
Time frame: Baseline to Week 12
Change in Average Blood Glucose
Change in average blood glucose is calculated from data collected from the continuous glucose monitor worn by participants. T1DM participants were instructed in the use of a continuous glucose monitor (CGM) for the monitoring of glycemia during the study. Participants were shown how to upload CGM data into a HIPAA and FDA-compliant cloud-based, data-integration platform for analysis.
Time frame: Baseline to 12 weeks
Change in the Blood Glucose Standard Deviation
Change in the blood glucose standard deviation is calculated from data collected from the continuous glucose monitor worn by participants. T1DM participants were instructed in the use of a continuous glucose monitor (CGM) for the monitoring of glycemia during the study. Participants were shown how to upload CGM data into a HIPAA and FDA-compliant cloud-based, data-integration platform for analysis.
Time frame: Baseline to 12 weeks
Change in Average Total Daily Dose of Insulin
Average Total Daily Dose of Insulin is calculated from data collected from the the use of an insulin pump by participants. T1DM participants were instructed in the use of an insulin pump for the adminsitration of insulin during the study. Instructions included administering all insulin via insulin pump and recording all carbohydrates consumed into the insulin pump. T1DM participants were instructed how to upload insulin pump data into a HIPAA and FDA-compliant cloud-based, data-integration platform for analysis.
Time frame: Baseline to 12 weeks
Change in Average Bolus Amount of Insulin Per Day
Average bolus amount of Insulin per day is calculated from data collected from the the use of an insulin pump by participants. T1DM participants were instructed in the use of an insulin pump for the adminsitration of insulin during the study. Instructions included administering all insulin via insulin pump and recording all carbohydrates consumed into the insulin pump. T1DM participants were instructed how to upload insulin pump data into a HIPAA and FDA-compliant cloud-based, data-integration platform for analysis.
Time frame: Baseline to 12 weeks
Change in Average Basal Amount of Insulin Per Day
Average Basal Amount of Insulin Per Day is calculated from data collected from the the use of an insulin pump by participants. T1DM participants were instructed in the use of an insulin pump for the adminsitration of insulin during the study. Instructions included administering all insulin via insulin pump and recording all carbohydrates consumed into the insulin pump. T1DM participants were instructed how to upload insulin pump data into a HIPAA and FDA-compliant cloud-based, data-integration platform for analysis.
Time frame: Baseline to 12 weeks
Change in Low Density Lipoprotein Particle Number
The number of Low Density Lipoprotein Particles (LDL-P) is directly measured using nuclear magnetic resonance (NMR) spectroscopy.
Time frame: Baseline to 12 weeks
Change in High Density Lipoprotein Particle Number
The number of High Density Lipoprotein Particles (HDL-P) is directly measured using nuclear magnetic resonance (NMR) spectroscopy.
Time frame: Baseline to 12 weeks
Change in Small Low Density Lipoprotein Particle Number
The number of Small Low Density Lipoprotein Particles (LDL-P) is directly measured using nuclear magnetic resonance (NMR) spectroscopy.
Time frame: Baseline to 12 weeks
Change in Low Density Lipoprotein Size
The size of Low Density Lipoprotein Particles (LDL-P) is directly measured using nuclear magnetic resonance (NMR) spectroscopy.
Time frame: Baseline to 12 weeks
Change in Concentration of Serum Ketones (Beta-hydroxybutyrate)
Change is measured by difference in concentration of serum ketones (beta-hydroxybutyrate)
Time frame: Baseline to 12 weeks
Change in Score of Pediatric Quality of Life Inventory (PedsQL) Diabetes Module
The PedsQL 3.0 Teen Report (ages 13-18) is composed of 28 items. Item scaling is a 5-point scale from 0 (never) to 4 (almost always). The total possible range of scores 0-112 Higher scores indicate higher quality of life.
Time frame: Baseline to week 12
Change in Diabetes Burden as Measured by the Problem Areas in Diabetes: Teen Version (PAID-T) Report
Diabetes burden was measured using the Problem Areas in Diabetes (PAID-T) parent-report, a measure of how bothersome day-to-day problems are for adolescents with type 1 diabetes. The he PAID-T is a 26 item measure scored on a likert scale from one-to-six with a total possible scale score ranging from 26-156. A lower score represents less burden.
Time frame: Baseline to week 12
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