Additional Insulin for High Fat/Protein in Type 1 Diabetes
The Effect of Fat - Protein Counting on Glycemic Variability in Children and Adolescents With Type 1 Diabetes Mellitus
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).
調査の概要
詳細な説明
研究の種類
入学 (実際)
段階
- 適用できない
連絡先と場所
研究場所
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İzmir、七面鳥、35100
- Ege University Faculty of Medicine Department of Pediatrics
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参加基準
適格基準
就学可能な年齢
健康ボランティアの受け入れ
受講資格のある性別
説明
Inclusion Criteria:
- 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.
- Those with a body mass index between -2- + 2 SD
Exclusion Criteria:
- Cases that do not accept to fill in the 'Informed Consent Form'
- Cases with diseases accompanying T1DM (autoimmune diseases such as celiac, cystic fibrosis, etc.)
- Body mass index <-2 SD and> +2 SD
研究計画
研究はどのように設計されていますか?
デザインの詳細
- 主な目的:支持療法
- 割り当て:なし
- 介入モデル:単一グループの割り当て
- マスキング:なし(オープンラベル)
武器と介入
参加者グループ / アーム |
介入・治療 |
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他の: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.
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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
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この研究は何を測定していますか?
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
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AUC
時間枠:AUC was evaluated the day where only carbs were counted and the day were fat and proteins were counted
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The primary outcomes were glucose area under the curve (AUC) and % of time spent in normoglycemia according to CC; PA and modified PA algorithms.
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AUC was evaluated the day where only carbs were counted and the day were fat and proteins were counted
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二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
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hypoglycemia epizode
時間枠:Hypoglycemia was evaluated the day where only carbs were counted and the day were fat and proteins were counted
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The secondary outcomes were the number of hypoglycemic events over the study period based on capillary blood glucose measurements.
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Hypoglycemia was evaluated the day where only carbs were counted and the day were fat and proteins were counted
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協力者と研究者
スポンサー
捜査官
- スタディチェア:Sukran Darcan, MD Prof、Ege University
- 主任研究者:Yasemin Atik Altınok, pHD、Ege University Fac Of Medicine Department of Pediatrics
- 主任研究者:Hafize Cetin Işıklar, Nurse、Ege University Fac Of Medicine Department of Pediatrics
- 主任研究者:Gunay Demir, MSci Nurse、Ege University Fac Of Medicine Department of Pediatrics
- 主任研究者:Samim Ozen, MD,PhD、Ege University Fac Of Medicine Department of Pediatrics
出版物と役立つリンク
一般刊行物
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
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