دورية أكاديمية
Automatic adaptation of Basal insulin using sensor-augmented pump therapy
| العنوان: | Automatic adaptation of Basal insulin using sensor-augmented pump therapy |
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| المؤلفون: | Herrero, P, Bondia, J, Giménez, M, Oliver, N, Georgiou, P |
| المساهمون: | Wellcome Trust, Engineering & Physical Science Research Council (EPSRC), Commission of the European Communities, Medical Research Council (MRC) |
| المصدر: | 294 ; 282 |
| بيانات النشر: | SAGE Publications |
| سنة النشر: | 2018 |
| المجموعة: | Imperial College London: Spiral |
| مصطلحات موضوعية: | adaptive control, artificial intelligence, basal insulin, case-based reasoning, run-to-run, type 1 diabetes, Adolescent, Adult, Algorithms, Blood Glucose Self-Monitoring, Child, Diabetes Mellitus, Type 1, Female, Humans, Insulin, Insulin Infusion Systems, Male, Models, Theoretical, 1111 Nutrition and Dietetics |
| جغرافية الموضوع: | United States |
| الوصف: | BACKGROUND: People with insulin-dependent diabetes rely on an intensified insulin regimen. Despite several guidelines, they are usually impractical and fall short in achieving optimal glycemic outcomes. In this work, a novel technique for automatic adaptation of the basal insulin profile of people with diabetes on sensor-augmented pump therapy is presented. METHODS: The presented technique is based on a run-to-run control law that overcomes some of the limitations of previously proposed methods. To prove its validity, an in silico validation was performed. Finally, the artificial intelligence technique of case-based reasoning is proposed as a potential solution to deal with variability in basal insulin requirements. RESULTS: Over a period of 4 months, the proposed run-to-run control law successfully adapts the basal insulin profile of a virtual population (10 adults, 10 adolescents, and 10 children). In particular, average percentage time in target [70, 180] mg/dl was significantly improved over the evaluated period (first week versus last week): 70.9 ± 11.8 versus 91.1 ± 4.4 (adults), 46.5 ± 11.9 versus 80.1 ± 10.9 (adolescents), 49.4 ± 12.9 versus 73.7 ± 4.1 (children). Average percentage time in hypoglycemia (<70 mg/dl) was also significantly reduced: 9.7 ± 6.6 versus 0.9 ± 1.2 (adults), 10.5 ± 8.3 versus 0.83 ± 1.0 (adolescents), 10.9 ± 6.1 versus 3.2 ± 3.5 (children). When compared against an existing technique over the whole evaluated period, the presented approach achieved superior results on percentage of time in hypoglycemia: 3.9 ± 2.6 versus 2.6 ± 2.2 (adults), 2.9 ± 1.9 versus 2.0 ± 1.5 (adolescents), 4.6 ± 2.8 versus 3.5 ± 2.0 (children), without increasing the percentage time in hyperglycemia. CONCLUSION: The present study shows the potential of a novel technique to effectively adjust the basal insulin profile of a type 1 diabetes population on sensor-augmented insulin pump therapy. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| تدمد: | 1932-2968 |
| العلاقة: | Journal of Diabetes Science and Technology; http://hdl.handle.net/10044/1/72147Test; https://dx.doi.org/10.1177/1932296818761752Test; 089758/Z/09/Z; WT 100921/Z/13/Z; EP/P00993X/1; 689810; MC_PC_12015 |
| DOI: | 10.1177/1932296818761752 |
| الإتاحة: | https://doi.org/10.1177/1932296818761752Test http://hdl.handle.net/10044/1/72147Test |
| حقوق: | © 2018 Diabetes Technology Society. The final, definitive version of this paper has been published inJournal of Diabetes Science and Technology by Sage Publications Ltd. All rights reserved. It is available at: https://journals.sagepub.com/doi/pdf/10.1177/1932296818761752Test |
| رقم الانضمام: | edsbas.FA73687D |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 19322968 |
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| DOI: | 10.1177/1932296818761752 |