Additional Insulin for High Fat/Protein in Type 1 Diabetes

NCT ID: NCT05152121

Last Updated: 2021-12-30

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

20 participants

Study Classification

INTERVENTIONAL

Study Start Date

2017-07-01

Study Completion Date

2019-12-31

Brief Summary

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Aim: Dietary carbohydrate is the predominant macronutrient affecting postprandial blood glucose excursions, dietary fat and protein can also significantly impact the postprandial glycemic profile. The aim of this study is to compare the impact of additional dose of extended insulin bolus; using Pankowsko algorithm (PA) to usual standard carbohydrate counting (CC) on postprandial glucose excursions for high fat /high energy density mixed meal for 12 hours.

Methods: In this single-center, non-blinded, randomized, crossover study a high fat, high energy density test meal containing 80 gram carbohydrate (34%), 70 gram fat (66%) and 35 g protein (14%) was given using standard carbohydrate counting (CC) on the first test day and PA was used for the second test day for the same meal. Two methods were compared on postprandial early (0-120 min), late (120-720 min) and total (0-720 min) glucose response in 20 patients with type 1 diabetes mellitus (T1DM), aged 9-18 years on continuous subcutan insulin infusion (CSII) therapy using continuous glucose monitoring system (CGMS).

Detailed Description

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Children and adolescents with T1DM between the ages of 9-18 and undergoing insulin infusion pump therapy followed in Ege University Pediatric Endocrinology Department will be randomly selected regardless of metabolic control. The selection of the cases will be made from the beginning of the study as the first 30 patients who meet the research participation criteria and agree to participate in the study. Before the research starts, the cases will be told about the application of CGMS, their responsibilities in the research, and an appointment will be given for the insertion of CGMS and this procedure will be applied to all participants. On the day of the appointment, the participant will be put on CGMS, and as long as CGMS is attached, they will be asked to measure capillary blood glucose in their diaries and record them. The subjects will be checked whether they are within the target blood glucose values for 2 days before consuming the test meal and normoglycemia will be provided. On the first day of the study, a test meal with 80 g carbohydrate (29.3%), 70.2 g fat (57.9%), 34.7 g protein (12.7%), will be consumed in the evening meal and carbohydrate counting-normal bolus insulin will be given by administration. On the second day of the study, the additional insulin for fat and protein will be given as a dual wave bolus instead of the normal bolus for the test meal. Then, CGMS will be extracted from the cases, transferred to the computer, and analysis will be made by the researcher, taking into account the capillary blood glucose measurements in the diary.

Conditions

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Type 1 Diabetes Adolescent

Keywords

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type 1 diabetes dietary fat high energy density meal glycemic variability

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

SUPPORTIVE_CARE

Blinding Strategy

NONE

Study Groups

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carb counting

Patients using insulin infusion pumps will be placed CGMS for 2 days before starting the study to check whether they are within the target blood glucose levels and normoglycemia will be provided. The content of the first day of the study; The test meal, which is 80 g carbohydrate (29.3%), 70.2 g fat (57.9%), 34.7 g protein (12.7%), will be consumed in the evening meal and normal bolus insulin will be given according to carbohydrate counting. On the second day of the study, instead of the normal bolus for the test meal, the additional insulin for fat-protein by dual wave bolus that.The data obtained will be analyzed by evaluating the CGMS data of all patients by a pediatric endocrinologist experienced in diabetes, CGMS and insulin infusion pump therapy.

Group Type OTHER

Carb and fat counting

Intervention Type OTHER

In the 7 days leading up to the study, participants were contacted to review blood glucose levels with CGMS, food and activity diary. basal rates and insulin carbohydrate ratio and sensitivity factor were changed according to the CGMS values and normoglycemia was achieved.In the study day same meals were served which included high fat, high energy density test meal containing 80 gram carbohydrate (34%), 70 gram fat (66%) and 35 g protein (14%).The participants had to have no glucose fluctuations 2 hours before study entry based on CGMS, no correction boluses for at least 4 hours before the test meal consumption and fasting glycemia in the range of 70-180 mg/dL on both study days.The participants received the test meal calculating insulin dose by CC on the first study day and calculating insulin dose by and fat/protein counting in the second study day. The test meal consumption was completed in 20 minutes under supervision by a caregiver and a dietician of the research team

Interventions

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Carb and fat counting

In the 7 days leading up to the study, participants were contacted to review blood glucose levels with CGMS, food and activity diary. basal rates and insulin carbohydrate ratio and sensitivity factor were changed according to the CGMS values and normoglycemia was achieved.In the study day same meals were served which included high fat, high energy density test meal containing 80 gram carbohydrate (34%), 70 gram fat (66%) and 35 g protein (14%).The participants had to have no glucose fluctuations 2 hours before study entry based on CGMS, no correction boluses for at least 4 hours before the test meal consumption and fasting glycemia in the range of 70-180 mg/dL on both study days.The participants received the test meal calculating insulin dose by CC on the first study day and calculating insulin dose by and fat/protein counting in the second study day. The test meal consumption was completed in 20 minutes under supervision by a caregiver and a dietician of the research team

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

1. Children-adolescents with Type 1 DM between the ages of 9-18 and undergoing insulin infusion pump therapy followed by Ege University Faculty of Medicine, Department of Pediatric Endocrine.
2. Those with a body mass index between -2- + 2 SD

Exclusion Criteria

1. Cases that do not accept to fill in the 'Informed Consent Form'
2. Cases with diseases accompanying T1DM (autoimmune diseases such as celiac, cystic fibrosis, etc.)
3. Body mass index \<-2 SD and\> +2 SD
Minimum Eligible Age

9 Years

Maximum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Ege University

OTHER

Sponsor Role lead

Responsible Party

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Yasemin Atik Altinok

Dietician PhD

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Sukran Darcan, MD Prof

Role: STUDY_CHAIR

Ege University

Yasemin Atik Altınok, pHD

Role: PRINCIPAL_INVESTIGATOR

Ege University Fac Of Medicine Department of Pediatrics

Hafize Cetin Işıklar, Nurse

Role: PRINCIPAL_INVESTIGATOR

Ege University Fac Of Medicine Department of Pediatrics

Gunay Demir, MSci Nurse

Role: PRINCIPAL_INVESTIGATOR

Ege University Fac Of Medicine Department of Pediatrics

Samim Ozen, MD,PhD

Role: PRINCIPAL_INVESTIGATOR

Ege University Fac Of Medicine Department of Pediatrics

Locations

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Ege University Faculty of Medicine Department of Pediatrics

Izmir, , Turkey (Türkiye)

Site Status

Countries

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Turkey (Türkiye)

References

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Diabetes Control and Complications Trial Research Group; Nathan DM, Genuth S, Lachin J, Cleary P, Crofford O, Davis M, Rand L, Siebert C. The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N Engl J Med. 1993 Sep 30;329(14):977-86. doi: 10.1056/NEJM199309303291401.

Reference Type BACKGROUND
PMID: 8366922 (View on PubMed)

Gingras V, Bonato L, Messier V, Roy-Fleming A, Smaoui MR, Ladouceur M, Rabasa-Lhoret R. Impact of macronutrient content of meals on postprandial glucose control in the context of closed-loop insulin delivery: A randomized cross-over study. Diabetes Obes Metab. 2018 Nov;20(11):2695-2699. doi: 10.1111/dom.13445. Epub 2018 Jul 18.

Reference Type BACKGROUND
PMID: 29931719 (View on PubMed)

American Diabetes Association. 5. Facilitating Behavior Change and Well-being to Improve Health Outcomes: Standards of Medical Care in Diabetes-2021. Diabetes Care. 2021 Jan;44(Suppl 1):S53-S72. doi: 10.2337/dc21-S005.

Reference Type BACKGROUND
PMID: 33298416 (View on PubMed)

Smart CE, Annan F, Higgins LA, Jelleryd E, Lopez M, Acerini CL. ISPAD Clinical Practice Consensus Guidelines 2018: Nutritional management in children and adolescents with diabetes. Pediatr Diabetes. 2018 Oct;19 Suppl 27:136-154. doi: 10.1111/pedi.12738. No abstract available.

Reference Type BACKGROUND
PMID: 30062718 (View on PubMed)

Pankowska E, Szypowska A, Lipka M, Szpotanska M, Blazik M, Groele L. Application of novel dual wave meal bolus and its impact on glycated hemoglobin A1c level in children with type 1 diabetes. Pediatr Diabetes. 2009 Aug;10(5):298-303. doi: 10.1111/j.1399-5448.2008.00471.x. Epub 2008 Oct 20.

Reference Type BACKGROUND
PMID: 19175902 (View on PubMed)

Danne T, Nimri R, Battelino T, Bergenstal RM, Close KL, DeVries JH, Garg S, Heinemann L, Hirsch I, Amiel SA, Beck R, Bosi E, Buckingham B, Cobelli C, Dassau E, Doyle FJ 3rd, Heller S, Hovorka R, Jia W, Jones T, Kordonouri O, Kovatchev B, Kowalski A, Laffel L, Maahs D, Murphy HR, Norgaard K, Parkin CG, Renard E, Saboo B, Scharf M, Tamborlane WV, Weinzimer SA, Phillip M. International Consensus on Use of Continuous Glucose Monitoring. Diabetes Care. 2017 Dec;40(12):1631-1640. doi: 10.2337/dc17-1600.

Reference Type BACKGROUND
PMID: 29162583 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 25998293 (View on PubMed)

Jones SM, Quarry JL, Caldwell-McMillan M, Mauger DT, Gabbay RA. Optimal insulin pump dosing and postprandial glycemia following a pizza meal using the continuous glucose monitoring system. Diabetes Technol Ther. 2005 Apr;7(2):233-40. doi: 10.1089/dia.2005.7.233.

Reference Type RESULT
PMID: 15857224 (View on PubMed)

Wolever TM, Mullan YM. Sugars and fat have different effects on postprandial glucose responses in normal and type 1 diabetic subjects. Nutr Metab Cardiovasc Dis. 2011 Sep;21(9):719-25. doi: 10.1016/j.numecd.2010.12.005. Epub 2011 Feb 16.

Reference Type RESULT
PMID: 21330118 (View on PubMed)

Pankowska E, Blazik M, Groele L. Does the fat-protein meal increase postprandial glucose level in type 1 diabetes patients on insulin pump: the conclusion of a randomized study. Diabetes Technol Ther. 2012 Jan;14(1):16-22. doi: 10.1089/dia.2011.0083. Epub 2011 Oct 20.

Reference Type RESULT
PMID: 22013887 (View on PubMed)

Smart CE, Evans M, O'Connell SM, McElduff P, Lopez PE, Jones TW, Davis EA, King BR. Both dietary protein and fat increase postprandial glucose excursions in children with type 1 diabetes, and the effect is additive. Diabetes Care. 2013 Dec;36(12):3897-902. doi: 10.2337/dc13-1195. Epub 2013 Oct 29.

Reference Type RESULT
PMID: 24170749 (View on PubMed)

Wolpert HA, Atakov-Castillo A, Smith SA, Steil GM. Dietary fat acutely increases glucose concentrations and insulin requirements in patients with type 1 diabetes: implications for carbohydrate-based bolus dose calculation and intensive diabetes management. Diabetes Care. 2013 Apr;36(4):810-6. doi: 10.2337/dc12-0092. Epub 2012 Nov 27.

Reference Type RESULT
PMID: 23193216 (View on PubMed)

Paterson MA, Smart CEM, Lopez PE, Howley P, McElduff P, Attia J, Morbey C, King BR. Increasing the protein quantity in a meal results in dose-dependent effects on postprandial glucose levels in individuals with Type 1 diabetes mellitus. Diabet Med. 2017 Jun;34(6):851-854. doi: 10.1111/dme.13347. Epub 2017 Mar 19.

Reference Type RESULT
PMID: 28257160 (View on PubMed)

van der Hoogt M, van Dyk JC, Dolman RC, Pieters M. Protein and fat meal content increase insulin requirement in children with type 1 diabetes - Role of duration of diabetes. J Clin Transl Endocrinol. 2017 Oct 10;10:15-21. doi: 10.1016/j.jcte.2017.10.002. eCollection 2017 Dec.

Reference Type RESULT
PMID: 29204367 (View on PubMed)

Neu A, Behret F, Braun R, Herrlich S, Liebrich F, Loesch-Binder M, Schneider A, Schweizer R. Higher glucose concentrations following protein- and fat-rich meals - the Tuebingen Grill Study: a pilot study in adolescents with type 1 diabetes. Pediatr Diabetes. 2015 Dec;16(8):587-91. doi: 10.1111/pedi.12224. Epub 2014 Oct 20.

Reference Type RESULT
PMID: 25330823 (View on PubMed)

Paterson MA, Smart CE, Lopez PE, McElduff P, Attia J, Morbey C, King BR. Influence of dietary protein on postprandial blood glucose levels in individuals with Type 1 diabetes mellitus using intensive insulin therapy. Diabet Med. 2016 May;33(5):592-8. doi: 10.1111/dme.13011. Epub 2015 Dec 6.

Reference Type RESULT
PMID: 26499756 (View on PubMed)

Evans M, Smart CEM, Paramalingam N, Smith GJ, Jones TW, King BR, Davis EA. Dietary protein affects both the dose and pattern of insulin delivery required to achieve postprandial euglycaemia in Type 1 diabetes: a randomized trial. Diabet Med. 2019 Apr;36(4):499-504. doi: 10.1111/dme.13875. Epub 2019 Feb 20.

Reference Type RESULT
PMID: 30537305 (View on PubMed)

Lopez PE, Evans M, King BR, Jones TW, Bell K, McElduff P, Davis EA, Smart CE. A randomized comparison of three prandial insulin dosing algorithms for children and adolescents with Type 1 diabetes. Diabet Med. 2018 Oct;35(10):1440-1447. doi: 10.1111/dme.13703. Epub 2018 Jun 19.

Reference Type RESULT
PMID: 29873107 (View on PubMed)

Kordonouri O, Hartmann R, Remus K, Blasig S, Sadeghian E, Danne T. Benefit of supplementary fat plus protein counting as compared with conventional carbohydrate counting for insulin bolus calculation in children with pump therapy. Pediatr Diabetes. 2012 Nov;13(7):540-4. doi: 10.1111/j.1399-5448.2012.00880.x. Epub 2012 Jul 6.

Reference Type RESULT
PMID: 22765260 (View on PubMed)

Other Identifiers

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16-12.1/44

Identifier Type: -

Identifier Source: org_study_id