دورية أكاديمية

Modeling Subcutaneous Absorption of Fast-Acting Insulin in Type 1 Diabetes.

التفاصيل البيبلوغرافية
العنوان: Modeling Subcutaneous Absorption of Fast-Acting Insulin in Type 1 Diabetes.
المؤلفون: Schiavon, Michele, Dalla Man, Chiara, Cobelli, Claudio
المصدر: IEEE Transactions on Biomedical Engineering. Sep2018, Vol. 65 Issue 9, p2079-2086. 8p.
مصطلحات موضوعية: TYPE 1 diabetes, INSULIN absorption & adsorption, INSULIN therapy, SUBCUTANEOUS infusions, BIOLOGICAL mathematical modeling
مستخلص: Objective: Subcutaneous (sc) administration of fast-acting insulin analogues is the key in conventional therapy of type 1 diabetes (T1D). A model of sc insulin absorption would be helpful for optimizing insulin therapy and test new open- and closed-loop treatment strategies in in silico platforms. Some models have been published in the literature, but none was assessed on a frequently-sampled large dataset of T1D subjects. The aim here is to propose a model of sc absorption of fast-acting insulin, which is able to describe the data and precisely estimate model parameters with a clear physiological interpretation. Methods: Three candidate models were identified on 116 T1D subjects, who underwent a single sc injection of fast-acting insulin and were compared on the basis of their ability to describe the data and their numerical identifiability. Results: A linear two-compartment model including a subject-specific delay in sc insulin absorption is proposed. On average, a delay of 7.6 min in insulin appearance in the first compartment is detected, then the insulin is slowly absorbed into plasma (in 23% of the subjects) with a rate of 0.0034 min−1, while the remaining diffuses into the second compartment, with a rate constant of 0.028 min−1, and then finally absorbed into plasma with a rate constant of 0.014 min−1. Conclusion: Among the three tested models, the one proposed here is the only one able to both accurately describe plasma insulin data after a single sc injection and precisely estimate physiologically plausible parameters. The model needs to be further tested in case of variable sc insulin delivery and/or multiple insulin doses. Significance: Results are expected to help the development of new open- and closed-loop insulin treatment strategies. [ABSTRACT FROM AUTHOR]
Copyright of IEEE Transactions on Biomedical Engineering is the property of IEEE and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
قاعدة البيانات: Business Source Index
الوصف
تدمد:00189294
DOI:10.1109/TBME.2017.2784101