Literature DB >> 28406039

A Methodology to Compare Insulin Dosing Recommendations in Real-Life Settings.

Danielle Groat1, Maria A Grando1,2, Bithika Thompson2, Pedro Neto1, Hiral Soni1, Mary E Boyle2, Marilyn Bailey2, Curtiss B Cook1,2.   

Abstract

BACKGROUND: We propose a methodology to analyze complex real-life glucose data in insulin pump users.
METHODS: Patients with type 1 diabetes (T1D) on insulin pumps were recruited from an academic endocrinology practice. Glucose data, insulin bolus (IB) amounts, and self-reported alcohol consumption and exercise events were collected for 30 days. Rules were developed to retrospectively compare IB recommendations from the insulin pump bolus calculator (IPBC) against recommendations from a proposed decision aid (PDA) and for assessing the PDA's recommendation for exercise and alcohol.
RESULTS: Data from 15 participants were analyzed. When considering instances where glucose was below target, the PDA recommended a smaller dose in 14%, but a larger dose in 13% and an equivalent IB in 73%. For glucose levels at target, the PDA suggested an equivalent IB in 58% compared to the subject's IPBC, but higher doses in 20% and lower in 22%. In events where postprandial glucose was higher than target, the PDA suggested higher doses in 25%, lower doses in 13%, and equivalent doses in 62%. In 64% of all alcohol events the PDA would have provided appropriate advice. In 75% of exercise events, the PDA appropriately advised an IB, a carbohydrate snack, or neither.
CONCLUSIONS: This study provides a methodology to systematically analyze real-life data generated by insulin pumps and allowed a preliminary analysis of the performance of the PDA for insulin dosing. Further testing of the methodological approach in a broader diabetes population and prospective testing of the PDA are needed.

Entities:  

Keywords:  alcohol; bolus calculator; exercise; insulin pump; postprandial blood glucose; retrospective analysis

Mesh:

Substances:

Year:  2017        PMID: 28406039      PMCID: PMC5951039          DOI: 10.1177/1932296817704444

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  24 in total

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  2 in total

1.  Design and Testing of a Smartphone Application for Real-Time Self-Tracking Diabetes Self-Management Behaviors.

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Journal:  Appl Clin Inform       Date:  2018-06-20       Impact factor: 2.342

2.  Self-Reported Compensation Techniques for Carbohydrate, Exercise, and Alcohol Behaviors in Patients With Type 1 Diabetes on Insulin Pump Therapy.

Authors:  Danielle Groat; Hiral Soni; Maria Adela Grando; Bithika Thompson; Curtiss B Cook
Journal:  J Diabetes Sci Technol       Date:  2017-07-05
  2 in total

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