Literature DB >> 28704103

POSTPRANDIAL DOSING OF BOLUS INSULIN IN PATIENTS WITH TYPE 1 DIABETES: A CROSS-SECTIONAL STUDY USING DATA FROM THE T1D EXCHANGE REGISTRY.

Anne Peters, Michelle A Van Name, Brian Larsen Thorsted, Johanne Spanggaard Piltoft, William V Tamborlane.   

Abstract

OBJECTIVE: To assess the prevalence and characteristics of patients with type 1 diabetes (T1D) who dose bolus insulin postprandial (PostP) versus preprandial (PreP).
METHODS: Data for this cross-sectional study were obtained from 21,533 participants in the T1D Exchange Registry. Data were drawn from the enrollment questionnaire. Patients who dosed 'immediately before meal' or 'several minutes before meal' were classified as PreP. Patients who dosed 'during meal' or 'after meal' were classified as PostP. Data reported (PostP vs. PreP) are mean ± SD and percentage, as appropriate.
RESULTS: After exclusion of patients who did not answer the dose-timing question or who selected 'not given regularly' or 'depends on glucose level prior to meal,' (4,229 of 25,762), 21,533 patients were included in the study. Ninety-nine percent of patients used rapid-acting insulin analogues; 32% dosed insulin PostP. Compared to PreP, children <18 years of age dosing PostP were characterized by higher glycated hemoglobin (HbA1c) (8.7 ± 1.5% [72 ± 16.4 mmol/mol] vs. 8.4 ± 1.7% [68 ± 18.6 mmol/mol]), larger insulin dose (1.2 ± 0.7 IU/kg/day vs. 1.1 ± 0.7 IU/kg/day), greater prevalence of history of hypoglycemia, and diabetic ketoacidosis. Adults who dosed PostP were characterized by younger age (33.0 ± 15.3 years vs. 39.5 ± 16.6 years), higher HbA1c (8.3 ± 1.5% [67 ± 16.4 mmol/mol] vs. 7.8 ± 1.5% [62 ± 16.4 mmol/mol]), and larger insulin dose (1.0 ± 0.6 IU/kg/day vs. 0.9 ± 0.5 IU/kg/day) than PreP.
CONCLUSION: This study reveals that a large proportion of patients dose bolus insulin PostP. Despite the use of current rapid-acting insulin analogues, patients who dose PostP are characterized by poorer glycemic control in all patients and a greater prevalence of history of severe hypoglycemia and diabetic ketoacidosis in children. ABBREVIATIONS: BMI = body mass index; CGM = continuous glucose monitoring; DKA = diabetic ketoacidosis; HbA1c = glycated hemoglobin; PostP = postprandial; PreP = preprandial; SMBG = self-monitored blood glucose; T1D = type 1 diabetes.

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Year:  2017        PMID: 28704103     DOI: 10.4158/EP171813.OR

Source DB:  PubMed          Journal:  Endocr Pract        ISSN: 1530-891X            Impact factor:   3.443


  9 in total

1.  Effect of Injection Site Cooling and Warming on Insulin Glargine Pharmacokinetics and Pharmacodynamics.

Authors:  Gabriel Bitton; Vital Rom; Uri Hadelsberg; Itamar Raz; Eda Cengiz; Stuart Weinzimer; William V Tamborlane
Journal:  J Diabetes Sci Technol       Date:  2019-05-08

2.  A Multiple Hypothesis Approach to Estimating Meal Times in Individuals With Type 1 Diabetes.

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3.  Efficacy and safety of fast-acting insulin aspart in comparison with insulin aspart in type 1 diabetes (onset 1): A 52-week, randomized, treat-to-target, phase III trial.

Authors:  Chantal Mathieu; Bruce W Bode; Edward Franek; Athena Philis-Tsimikas; Ludger Rose; Tina Graungaard; Anne Birk Østerskov; David Russell-Jones
Journal:  Diabetes Obes Metab       Date:  2018-02-04       Impact factor: 6.577

4.  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

Review 5.  Fast-Acting Insulin Aspart: The Rationale for a New Mealtime Insulin.

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Journal:  Diabetes Ther       Date:  2019-09-04       Impact factor: 2.945

6.  Pharmacokinetics and Pharmacodynamics of Three Different Formulations of Insulin Aspart: A Randomized, Double-Blind, Crossover Study in Men With Type 1 Diabetes.

Authors:  Eva Svehlikova; Ines Mursic; Thomas Augustin; Christoph Magnes; David Gerring; Jan Jezek; Daniela Schwarzenbacher; Maria Ratzer; Michael Wolf; Sarah Howell; Leon Zakrzewski; Martina Urschitz; Bernd Tschapeller; Christina Gatschelhofer; Franz Feichtner; Fiona Lawrence; Thomas R Pieber
Journal:  Diabetes Care       Date:  2020-12-16       Impact factor: 19.112

7.  Timing of Insulin Injections, Adherence, and Glycemic Control in a Multinational Sample of People with Type 2 Diabetes: A Cross-Sectional Analysis.

Authors:  Nicolaas C Schaper; Annie Nikolajsen; Anna Sandberg; Sarah Buchs; Mette Bøgelund
Journal:  Diabetes Ther       Date:  2017-10-23       Impact factor: 2.945

Review 8.  Closing the Loop on Managing Youth With Type 1 Diabetes: Children Are Not Just Small Adults.

Authors:  Jennifer L Sherr
Journal:  Diabetes Care       Date:  2018-06-23       Impact factor: 19.112

9.  A Deep Learning Framework for Automatic Meal Detection and Estimation in Artificial Pancreas Systems.

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Journal:  Sensors (Basel)       Date:  2022-01-08       Impact factor: 3.576

  9 in total

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