• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

1型糖尿病患者胰岛素和葡萄糖动力学新的面向控制模型的临床验证

Clinical validation of a new control-oriented model of insulin and glucose dynamics in subjects with type 1 diabetes.

作者信息

Fabietti Pier Giorgio, Canonico Valentina, Orsini-Federici Marco, Sarti Eugenio, Massi-Benedetti Massimo

机构信息

Department of Internal Medicine, University of Perugia, Perugia, Italy.

出版信息

Diabetes Technol Ther. 2007 Aug;9(4):327-38. doi: 10.1089/dia.2006.0030.

DOI:10.1089/dia.2006.0030
PMID:17705688
Abstract

BACKGROUND

The development of an artificial pancreas requires an accurate representation of diabetes pathophysiology to create effective and safe control systems for automatic insulin infusion regulation. The aim of the present study is the assessment of a previously developed mathematical model of insulin and glucose metabolism in type 1 diabetes and the evaluation of its effectiveness for the development and testing of control algorithms.

METHODS

Based on the already existing "minimal model" a new mathematical model was developed composed of glucose and insulin submodels. The glucose model includes the representation of peripheral uptake, hepatic uptake and release, and renal clearance. The insulin model describes the kinetics of exogenous insulin injected either subcutaneously or intravenously. The estimation of insulin sensitivity allows the model to personalize parameters to each subject. Data sets from two different clinical trials were used here for model validation through simulation studies. The first set had subcutaneous insulin injection, while the second set had intravenous insulin injection. The root mean square error between simulated and real blood glucose profiles (G(rms)) and the Clarke error grid analysis were used to evaluate the system efficacy.

RESULTS

Results from our study demonstrated the model's capability in identifying individual characteristics even under different experimental conditions. This was reflected by an effective simulation as indicated by G(rms), and clinical acceptability by the Clarke error grid analysis, in both clinical data series.

CONCLUSIONS

Simulation results confirmed the capacity of the model to faithfully represent the glucose-insulin relationship in type 1 diabetes in different circumstances.

摘要

背景

人工胰腺的开发需要准确呈现糖尿病病理生理学,以创建有效且安全的自动胰岛素输注调节控制系统。本研究的目的是评估先前开发的1型糖尿病胰岛素和葡萄糖代谢数学模型,并评估其在控制算法开发和测试中的有效性。

方法

基于现有的“最小模型”,开发了一个由葡萄糖和胰岛素子模型组成的新数学模型。葡萄糖模型包括外周摄取、肝脏摄取与释放以及肾脏清除的表征。胰岛素模型描述了皮下或静脉注射外源性胰岛素的动力学。胰岛素敏感性估计使模型能够针对每个受试者进行参数个性化。这里使用来自两项不同临床试验的数据集,通过模拟研究进行模型验证。第一组进行皮下胰岛素注射,而第二组进行静脉胰岛素注射。模拟血糖曲线与实际血糖曲线之间的均方根误差(G(rms))以及克拉克误差网格分析用于评估系统疗效。

结果

我们的研究结果表明,即使在不同实验条件下,该模型也能够识别个体特征。这在两个临床数据系列中均通过G(rms)所示的有效模拟以及克拉克误差网格分析的临床可接受性得到体现。

结论

模拟结果证实了该模型在不同情况下如实呈现1型糖尿病葡萄糖 - 胰岛素关系的能力。

相似文献

1
Clinical validation of a new control-oriented model of insulin and glucose dynamics in subjects with type 1 diabetes.1型糖尿病患者胰岛素和葡萄糖动力学新的面向控制模型的临床验证
Diabetes Technol Ther. 2007 Aug;9(4):327-38. doi: 10.1089/dia.2006.0030.
2
Control oriented model of insulin and glucose dynamics in type 1 diabetics.1型糖尿病患者胰岛素与葡萄糖动力学的面向控制模型
Med Biol Eng Comput. 2006 Mar;44(1-2):69-78. doi: 10.1007/s11517-005-0012-2.
3
Experimental evaluation of a recursive model identification technique for type 1 diabetes.1型糖尿病递归模型识别技术的实验评估
J Diabetes Sci Technol. 2009 Sep 1;3(5):1192-202. doi: 10.1177/193229680900300526.
4
A new index to optimally design and compare continuous glucose monitoring glucose prediction algorithms.一种新的指数,可优化连续血糖监测血糖预测算法的设计和比较。
Diabetes Technol Ther. 2011 Feb;13(2):111-9. doi: 10.1089/dia.2010.0151.
5
Health-economic analysis of real-time continuous glucose monitoring in people with Type 1 diabetes.1型糖尿病患者实时连续血糖监测的健康经济学分析
Diabet Med. 2015 May;32(5):618-26. doi: 10.1111/dme.12661. Epub 2015 Jan 6.
6
An Improved PID Algorithm Based on Insulin-on-Board Estimate for Blood Glucose Control with Type 1 Diabetes.一种基于胰岛素储备估计的改进型PID算法用于1型糖尿病的血糖控制
Comput Math Methods Med. 2015;2015:281589. doi: 10.1155/2015/281589. Epub 2015 Oct 5.
7
Adaptive and Personalized Plasma Insulin Concentration Estimation for Artificial Pancreas Systems.用于人工胰腺系统的自适应和个性化血浆胰岛素浓度估计
J Diabetes Sci Technol. 2018 May;12(3):639-649. doi: 10.1177/1932296818763959. Epub 2018 Mar 23.
8
Glucose-insulin regulation model with subcutaneous insulin injection and evaluation using diabetic inpatients data.带有皮下胰岛素注射的葡萄糖-胰岛素调节模型,并使用糖尿病住院患者数据进行评估。
Comput Methods Programs Biomed. 2013 Aug;111(2):347-56. doi: 10.1016/j.cmpb.2013.05.001. Epub 2013 Jun 10.
9
Model Predictive Control for Type 1 Diabetes Based on Personalized Linear Time-Varying Subject Model Consisting of Both Insulin and Meal Inputs: An in Silico Evaluation.基于包含胰岛素和膳食输入的个性化线性时变个体模型的1型糖尿病模型预测控制:计算机模拟评估
J Diabetes Sci Technol. 2015 Jul;9(4):941-2. doi: 10.1177/1932296815586426. Epub 2015 May 13.
10
Retrospective validation of a physiological model of glucose-insulin interaction in type 1 diabetes mellitus.1型糖尿病中葡萄糖-胰岛素相互作用生理模型的回顾性验证
Med Eng Phys. 1994 May;16(3):193-202. doi: 10.1016/1350-4533(94)90038-8.

引用本文的文献

1
The parameter Houlihan: A solution to high-throughput identifiability indeterminacy for brutally ill-posed problems.侯利汉参数:解决高吞吐量病态不适定问题的一种方法。
Math Biosci. 2019 Oct;316:108242. doi: 10.1016/j.mbs.2019.108242. Epub 2019 Aug 24.
2
Personalized glucose forecasting for type 2 diabetes using data assimilation.使用数据同化技术对2型糖尿病进行个性化血糖预测。
PLoS Comput Biol. 2017 Apr 27;13(4):e1005232. doi: 10.1371/journal.pcbi.1005232. eCollection 2017 Apr.
3
A physiology-based model describing heterogeneity in glucose metabolism: the core of the Eindhoven Diabetes Education Simulator (E-DES).
一种描述葡萄糖代谢异质性的基于生理学的模型:埃因霍温糖尿病教育模拟器(E-DES)的核心。
J Diabetes Sci Technol. 2015 Mar;9(2):282-92. doi: 10.1177/1932296814562607. Epub 2014 Dec 18.
4
Dynamical phenotyping: using temporal analysis of clinically collected physiologic data to stratify populations.动态表型分析:利用临床收集的生理数据的时间分析对人群进行分层。
PLoS One. 2014 Jun 16;9(6):e96443. doi: 10.1371/journal.pone.0096443. eCollection 2014.
5
Population physiology: leveraging electronic health record data to understand human endocrine dynamics.人群生理学:利用电子健康记录数据了解人类内分泌动力学。
PLoS One. 2012;7(12):e48058. doi: 10.1371/journal.pone.0048058. Epub 2012 Dec 14.
6
Pharmacokinetic/pharmacodynamic modelling in diabetes mellitus.糖尿病中的药代动力学/药效学建模
Clin Pharmacokinet. 2008;47(7):417-48. doi: 10.2165/00003088-200847070-00001.