Literature DB >> 27388474

Optimized Mealtime Insulin Dosing for Fat and Protein in Type 1 Diabetes: Application of a Model-Based Approach to Derive Insulin Doses for Open-Loop Diabetes Management.

Kirstine J Bell1, Elena Toschi2, Garry M Steil3, Howard A Wolpert4.   

Abstract

OBJECTIVE: To determine insulin dose adjustments required for coverage of high-fat, high-protein (HFHP) meals in type 1 diabetes (T1D). RESEARCH DESIGN AND METHODS: Ten adults with T1D received low-fat, low-protein (LFLP) and HFHP meals with identical carbohydrate content, covered with identical insulin doses. On subsequent occasions, subjects repeated the HFHP meal with an adaptive model-predictive insulin bolus until target postprandial glycemic control was achieved.
RESULTS: With the same insulin dose, the HFHP increased the glucose incremental area under the curve over twofold (13,320 ± 2,960 vs. 27,092 ± 1,709 mg/dL ⋅ min; P = 0.0013). To achieve target glucose control following the HFHP, 65% more insulin was required (range 17%-124%) with a 30%/70% split over 2.4 h.
CONCLUSIONS: This study demonstrates that insulin dose calculations need to consider meal composition in addition to carbohydrate content and provides the foundation for new insulin-dosing algorithms to cover meals of varying macronutrient composition.
© 2016 by the American Diabetes Association.

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Year:  2016        PMID: 27388474     DOI: 10.2337/dc15-2855

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  14 in total

1.  The Effect of Two Types of Pasta Versus White Rice on Postprandial Blood Glucose Levels in Adults with Type 1 Diabetes: A Randomized Crossover Trial.

Authors:  Stamatina Zavitsanou; Jennifer Massa; Sunil Deshpande; Jordan E Pinsker; Mei Mei Church; Camille Andre; Francis J Doyle Iii; Alicia Michelson; Jamie Creason; Eyal Dassau; David M Eisenberg
Journal:  Diabetes Technol Ther       Date:  2019-06-21       Impact factor: 6.118

2.  Low-Carbohydrate and Very-Low-Carbohydrate Diets in Patients With Diabetes.

Authors:  Jennifer D Merrill; Diana Soliman; Nitya Kumar; Sooyoung Lim; Afreen I Shariff; William S Yancy
Journal:  Diabetes Spectr       Date:  2020-05

3.  Factors Beyond Carbohydrate to Consider When Determining Meantime Insulin Doses: Protein, Fat, Timing, and Technology.

Authors:  Alison B Evert
Journal:  Diabetes Spectr       Date:  2020-05

4.  What Makes Nutrition Research So Difficult to Conduct and Interpret?

Authors:  Mara Z Vitolins; Talsi L Case
Journal:  Diabetes Spectr       Date:  2020-05

5.  A Conversation on an Effective, Straightforward, Quantitative Approach to the Outpatient Use of Insulin.

Authors:  Mayer B Davidson
Journal:  Diabetes Spectr       Date:  2022-01-10

6.  Assessing Mealtime Macronutrient Content: Patient Perceptions Versus Expert Analyses via a Novel Phone App.

Authors:  Melanie B Gillingham; Zoey Li; Roy W Beck; Peter Calhoun; Jessica Castle; Mark Clements; Eyal Dassau; Francis J Doyle; Robin L Gal; Peter Jacobs; Susana R Patton; Michael R Rickels; Michael Riddell; Corby K Martin
Journal:  Diabetes Technol Ther       Date:  2020-09-29       Impact factor: 6.118

7.  Late to the Party: Importance of Dietary Fat and Protein in the Intensive Management of Type 1 Diabetes. A Case Report.

Authors:  Ann Herron; Catherine Sullivan; Elizabeth Brouillard; Devin Steenkamp
Journal:  J Endocr Soc       Date:  2017-06-23

8.  Prevalence of Diabetes Mellitus and Its Associated Factors in Bangladesh: Application of Two-level Logistic Regression Model.

Authors:  Ashis Talukder; Md Zobayer Hossain
Journal:  Sci Rep       Date:  2020-06-24       Impact factor: 4.379

9.  Optimizing Postprandial Glucose Management in Adults With Insulin-Requiring Diabetes: Report and Recommendations.

Authors:  John Jack L Leahy; Grazia Aleppo; Vivian A Fonseca; Satish K Garg; Irl B Hirsch; Anthony L McCall; Janet B McGill; William H Polonsky
Journal:  J Endocr Soc       Date:  2019-10-07

10.  Accuracy of Automatic Carbohydrate, Protein, Fat and Calorie Counting Based on Voice Descriptions of Meals in People with Type 1 Diabetes.

Authors:  Piotr Ladyzynski; Janusz Krzymien; Piotr Foltynski; Monika Rachuta; Barbara Bonalska
Journal:  Nutrients       Date:  2018-04-21       Impact factor: 5.717

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