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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1174-1182 |
| Number of pages | 9 |
| Journal | Journal of Diabetes Science and Technology |
| Volume | 11 |
| Issue number | 6 |
| DOIs | |
| State | Published - Nov 1 2017 |
Keywords
- alcohol
- bolus calculator
- exercise
- insulin pump
- postprandial blood glucose
- retrospective analysis
ASJC Scopus subject areas
- Internal Medicine
- Endocrinology, Diabetes and Metabolism
- Bioengineering
- Biomedical Engineering
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