Literature DB >> 20923484

Many patients with Type 1 diabetes estimate their prandial insulin need inappropriately.

Aila J Ahola1, Sari Mäkimattila, Markku Saraheimo, Vera Mikkilä, Carol Forsblom, Riitta Freese, Per-Henrik Groop.   

Abstract

BACKGROUND: Many factors contribute to the need for prandial insulin in Type 1 diabetes. However, patients' success in achieving normal postprandial glucose concentration is understudied. The aim of the present study was to determine how often patients with Type 1 diabetes achieve normal postprandial glucose concentrations and to evaluate factors associated with postprandial hypo- and hyperglycemia.
METHODS: Data on food intake, physical activity, insulin administration, and blood glucose concentration were collected using a self-administered questionnaire from 331 patients with Type 1 diabetes (43% men; mean age 49 ± 12 years; mean diabetes duration 32 ± 13 years). Of these, 179 provided data on blood glucose concentrations measured 110-150 min postprandially. One such meal per patient was randomized for analyses.
RESULTS: Hypoglycemia (< 4.0 mmol/L), normoglycemia (4.0-7.9 mmol/L), and hyperglycemia (≥ 8.0 mmol/L) were observed after 23%, 36%, and 41% of meals, respectively. The three postprandial glycemia groups did not differ with respect to the meal composition or the timing of the postprandial blood glucose measurement. In women, postprandial hyperglycemia was associated with shorter diabetes duration and higher preprandial blood glucose concentration, whereas postprandial hypoglycemia was associated with higher physical activity. No single factor explained the postprandial glycemic state in men.
CONCLUSIONS: A total of 64% of patients estimated their prandial insulin need inappropriately, suggesting that estimation of the optimal prandial insulin dose is not easy, even after a long duration of diabetes.
© 2010 Ruijin Hospital, Shanghai Jiaotong University School of Medicine and Blackwell Publishing Asia Pty Ltd.

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Year:  2010        PMID: 20923484     DOI: 10.1111/j.1753-0407.2010.00086.x

Source DB:  PubMed          Journal:  J Diabetes        ISSN: 1753-0407            Impact factor:   4.006


  22 in total

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Journal:  J Diabetes Sci Technol       Date:  2012-03-01

2.  Mobile Momentary Assessment and Biobehavioral Feedback for Adolescents with Type 1 Diabetes: Feasibility and Engagement Patterns.

Authors:  Shelagh A Mulvaney; Sarah Vaala; Korey K Hood; Cindy Lybarger; Rachel Carroll; Laura Williams; Douglas C Schmidt; Kevin Johnson; Mary S Dietrich; Lori Laffel
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3.  Bolus Calculator Safety Mandates a Need for Standards.

Authors:  John Walsh; Guido Freckmann; Ruth Roberts; Lutz Heinemann
Journal:  J Diabetes Sci Technol       Date:  2016-12-20

Review 4.  Bolus calculators.

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5.  Modelling the effect of insulin on the disposal of meal-attributable glucose in type 1 diabetes.

Authors:  Fernando García-García; Roman Hovorka; Malgorzata E Wilinska; Daniela Elleri; M Elena Hernando
Journal:  Med Biol Eng Comput       Date:  2016-05-07       Impact factor: 2.602

6.  Development of a Smartphone Application to Capture Carbohydrate, Lipid, and Protein Contents of Daily Food: Need for Integration in Artificial Pancreas for Patients With Type 1 Diabetes?

Authors:  Omar Diouri; Jerome Place; Magali Traverso; Vera Georgescu; Marie-Christine Picot; Eric Renard
Journal:  J Diabetes Sci Technol       Date:  2015-09-30

7.  Glucose meters with built-in automated bolus calculator: gadget or real value for insulin-treated diabetic patients?

Authors:  Ides M Colin; Isabelle Paris
Journal:  Diabetes Ther       Date:  2012-12-19       Impact factor: 2.945

8.  Evaluation of the Effect of Carbohydrate Intake on Postprandial Glucose in Patients With Type 1 Diabetes Treated With Insulin Pumps.

Authors:  Mariel L James; Louisa Green; Stephanie A Amiel; Pratik Choudhary
Journal:  J Diabetes Sci Technol       Date:  2016-11-01

9.  Unknown Safety and Efficacy of Smartphone Bolus Calculator Apps Puts Patients at Risk for Severe Adverse Outcomes.

Authors:  Irl B Hirsch; Christopher G Parkin
Journal:  J Diabetes Sci Technol       Date:  2016-06-28

10.  Estimating insulin demand for protein-containing foods using the food insulin index.

Authors:  K J Bell; R Gray; D Munns; P Petocz; G Howard; S Colagiuri; J C Brand-Miller
Journal:  Eur J Clin Nutr       Date:  2014-07-09       Impact factor: 4.016

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