دورية أكاديمية

Titration of Long-Acting Insulin Using Continuous Glucose Monitoring and Smart Insulin Pens in Type 1 Diabetes: A Model-Based Carbohydrate-Free Approach

التفاصيل البيبلوغرافية
العنوان: Titration of Long-Acting Insulin Using Continuous Glucose Monitoring and Smart Insulin Pens in Type 1 Diabetes: A Model-Based Carbohydrate-Free Approach
المؤلفون: Anas El Fathi, Chiara Fabris, Marc D. Breton
المصدر: Frontiers in Endocrinology, Vol 12 (2022)
بيانات النشر: Frontiers Media S.A., 2022.
سنة النشر: 2022
المجموعة: LCC:Diseases of the endocrine glands. Clinical endocrinology
مصطلحات موضوعية: type 1 diabetes, multiple daily injections, long-acting insulin, insulin titration, continuous glucose monitoring, smart insulin pens, Diseases of the endocrine glands. Clinical endocrinology, RC648-665
الوصف: ObjectiveMultiple daily injections (MDI) therapy is the most common treatment for type 1 diabetes (T1D), consisting of long-acting insulin to cover fasting conditions and rapid-acting insulin to cover meals. Titration of long-acting insulin is needed to achieve satisfactory glycemia but is challenging due to inter-and intra-individual metabolic variability. In this work, a novel titration algorithm for long-acting insulin leveraging continuous glucose monitoring (CGM) and smart insulin pens (SIP) data is proposed.MethodsThe algorithm is based on a glucoregulatory model that describes insulin and meal effects on blood glucose fluctuations. The model is individualized on patient’s data and used to extract the theoretical glucose curve in fasting conditions; the individualization step does not require any carbohydrate records. A cost function is employed to search for the optimal long-acting insulin dose to achieve the desired glycemic target in the fasting state. The algorithm was tested in two virtual studies performed within a validated T1D simulation platform, deploying different levels of metabolic variability (nominal and variance). The performance of the method was compared to that achieved with two published titration algorithms based on self-measured blood glucose (SMBG) records. The sensitivity of the algorithm to carbohydrate records was also analyzed.ResultsThe proposed method outperformed SMBG-based methods in terms of reduction of exposure to hypoglycemia, especially during the night period (0 am–6 am). In the variance scenario, during the night, an improvement in the time in the target glycemic range (70–180 mg/dL) from 69.0% to 86.4% and a decrease in the time in hypoglycemia (
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1664-2392
العلاقة: https://www.frontiersin.org/articles/10.3389/fendo.2021.795895/fullTest; https://doaj.org/toc/1664-2392Test
DOI: 10.3389/fendo.2021.795895
الوصول الحر: https://doaj.org/article/0eee5a5a2a9d4e3eaa123fd8e4c0adc2Test
رقم الانضمام: edsdoj.0eee5a5a2a9d4e3eaa123fd8e4c0adc2
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:16642392
DOI:10.3389/fendo.2021.795895