The Effects of a Low Carbohydrate, Non-Ketogenic Diet Versus Standard Diabetes Diet on Glycemic Control in Type 1 Diabetes

University of Oklahoma11 enrolled

Overview

This randomized, crossover nutrition intervention seeks to examine the effects of a non-ketogenic low carbohydrate (CHO) diet (60-80g per day) on glycemic control, lipids, and markers on inflammation in individuals with Type 1 Diabetes (T1D). This study will be used to inform clinical practice, especially in teaching medical nutrition therapy to new-onset diabetes patients and those struggling with glycemic control and hyperlipidemia. At this time, no evidenced-based universal recommendations from randomized controlled trials exist to support low carbohydrate dietary patterns as a front-line approach in individuals with T1D. The investigators hypothesize a diet consisting of 60-80 g carbohydrate diet will result in greater improvement in glycemic control compared to a 50% carbohydrate diet in patients with Type 1 diabetes over 12 weeks in the outpatient setting.

Type 1 diabetes mellitus (T1D) is marked by total insulin dependence with challenges regarding glycemic control and concomitant sequela. While standard of care medical nutrition therapy for this disease centers on matching carbohydrate to insulin at meals, recent literature and clinical reports have shown superior glycemic control and cardiovascular measures with lower carbohydrate dietary patterns (\<130g/day) as compared to the standard American MyPlate (50% total calories as carbohydrate) approach. Diabetes management has evolved tremendously in the last twenty years with the development of sophisticated insulin pumps and continuous glucose monitors; but, glycemic control is still dependent on quantification of carbohydrate, imperfect in the real-world setting. Due to inherent error in carbohydrate counting, the investigators propose that less carbohydrate will produce better glycemic control by minimizing error and subsequent variation in individuals with type 1 diabetes. There has long been a movement in the medical community to prescribe low carbohydrate diets under the premise of "less carbohydrate, less insulin, less glycemic variation". This strategy centers on "the law of small numbers", a calculus principle describing magnitude of variation in the output (glycemic variation) as the function of input size (CHO + insulin). Carbohydrate counting tends to result in \~50% error while there is \~30% variation in insulin action, making exactitude impossible. However, low CHO diets tend to provide \>40% energy from fat due to the macronutrient distribution. With innate risk of cardiovascular disease in T1D, standard of care has supported restriction of total fat consumption, especially saturated fat, in effort to control cholesterol. While the American Diabetes Association recognizes that dietary fat is a controversial and complex issue, eliminating trans-fats is the only consensus point across the field. To date, most low CHO diet studies in both T1D and Type 2 Diabetes (T2D) have not shown adverse effects on lipids and tend to show decreases in triglycerides and either no change or increases in HDL, LDL, and total cholesterol.

Eligibility

Sex: ALLMin age: 18 YearsMax age: 30 Years

Medical Language ↔ Plain English

Inclusion Criteria: * Confirmed Type 1 diabetes for \> 1 year confirmed by physician diagnosis * HbA1c \>5.9% and \<10%; * Confirmation of minimum three blood glucose tests per day (meter download or chart record) * Use of continuous subcutaneous insulin infusion therapy (CSII) or multiple daily injection (MDI) intensive insulin therapy * No change in insulin therapy type (CSII or MDI) in last 2 months or longer * Willingness to count carbohydrate and use bolus calculator on insulin pump during the intervention periods * Willingness to wear a 7 day CGM at three different time points during the study Exclusion Criteria: * Females of childbearing potential who are pregnant or intend to become pregnant, are exclusively breastfeeding, or who are not using adequate contraceptive methods * Use of corticosteroids during or within 30 days prior to the intervention periods * Macroalbuminuria * Active proliferative retinopathy combined with an HbA1c ≥ 9% * Known or suspected alcohol or drug abuse * Other concomitant medical or psychological condition that according to the investigator's assessment makes the patient unsuitable for study participation

Outcomes

Primary Outcomes

Time in Range

Difference in time spent with glucose values between 70-180 mg/dL assessed by continuous glucose monitoring (CGM)

Time frame: 5 days of worn CGM during each intervention

Secondary Outcomes

Mean Glucose

Difference in mean glucose values assessed by CGM

Time frame: Baseline to 12 weeks (1 week worn CGM data)

Standard deviation of glucose

Difference in standard deviation of glucose values assessed by CGM

Time frame: Baseline to 12 weeks (1 week worn CGM data)

Mean amplitude of glycemic excursions

Difference in mean amplitude of glycemic excursions assessed by CGM

Time frame: Baseline to 12 weeks (1 week worn CGM data)

Time in hypoglycemia

Difference in time spent with glucose values \<70 mg/dL; between 55-70 mg/dL; and \<55 mg/dL

Time frame: Baseline to 12 weeks (1 week worn CGM data)

Time in hyperglycemia

Difference in time spent with glucose values \>180 mg/dL

Time frame: Baseline to 12 weeks (1 week worn CGM data)

Change in HbA1c

Difference in change in hemoglobin A1c