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本文引用的文献

1
Intermediary variables and algorithm parameters for an electronic algorithm for intravenous insulin infusion.静脉胰岛素输注电子算法的中介变量和算法参数
J Diabetes Sci Technol. 2009 Jul 1;3(4):835-56. doi: 10.1177/193229680900300432.
2
Evaluation of implementation of a fully automated algorithm (enhanced model predictive control) in an interacting infusion pump system for establishment of tight glycemic control in medical intensive care unit patients.评估一种全自动算法(增强型模型预测控制)在交互式输液泵系统中的实施情况,以在医学重症监护病房患者中实现严格的血糖控制。
J Diabetes Sci Technol. 2008 Nov;2(6):963-70. doi: 10.1177/193229680800200606.
3
In silico testing--impact on the progress of the closed loop insulin infusion for critically ill patients project.计算机模拟测试——对重症患者闭环胰岛素输注项目进展的影响
J Diabetes Sci Technol. 2008 May;2(3):417-23. doi: 10.1177/193229680800200311.
4
Comparison of three protocols for tight glycemic control in cardiac surgery patients.心脏手术患者严格血糖控制三种方案的比较
Diabetes Care. 2009 May;32(5):757-61. doi: 10.2337/dc08-1851. Epub 2009 Feb 5.
5
A simulation model of glucose regulation in the critically ill.危重症患者葡萄糖调节的模拟模型
Physiol Meas. 2008 Aug;29(8):959-78. doi: 10.1088/0967-3334/29/8/008. Epub 2008 Jul 18.
6
Tight glycaemic control by an automated algorithm with time-variant sampling in medical ICU patients.在医学重症监护病房患者中通过具有时变采样的自动算法进行严格血糖控制。
Intensive Care Med. 2008 Jul;34(7):1224-30. doi: 10.1007/s00134-008-1033-8. Epub 2008 Feb 23.
7
Glucose control in pediatric intensive care unit patients using an insulin-glucose algorithm.使用胰岛素-葡萄糖算法对儿科重症监护病房患者进行血糖控制。
Diabetes Technol Ther. 2007 Jun;9(3):211-22. doi: 10.1089/dia.2006.0031.
8
Blood glucose control by a model predictive control algorithm with variable sampling rate versus a routine glucose management protocol in cardiac surgery patients: a randomized controlled trial.心脏手术患者中采用可变采样率的模型预测控制算法与常规血糖管理方案进行血糖控制的随机对照试验。
J Clin Endocrinol Metab. 2007 Aug;92(8):2960-4. doi: 10.1210/jc.2007-0434. Epub 2007 Jun 5.
9
Multicentric, randomized, controlled trial to evaluate blood glucose control by the model predictive control algorithm versus routine glucose management protocols in intensive care unit patients: Response to Ligtenberg et al.
Diabetes Care. 2006 Aug;29(8):1987-8. doi: 10.2337/dc06-0838.
10
Glucommander: a computer-directed intravenous insulin system shown to be safe, simple, and effective in 120,618 h of operation.Glucommander:一种计算机控制的静脉胰岛素输注系统,在120618小时的运行中显示出安全、简单且有效。
Diabetes Care. 2005 Oct;28(10):2418-23. doi: 10.2337/diacare.28.10.2418.

“我,胰腺”算法在计算机模拟中的性能评估。

An evaluation of "I, Pancreas" algorithm performance in silico.

作者信息

Wilinska Malgorzata E, Nodale Marianna

机构信息

University of Cambridge Metabolic Research Laboratories, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, United Kingdom.

出版信息

J Diabetes Sci Technol. 2009 Jul 1;3(4):857-62. doi: 10.1177/193229680900300433.

DOI:10.1177/193229680900300433
PMID:20144335
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2769954/
Abstract

BACKGROUND

The objective of this study was to investigate the performance of a newly proposed insulin titrating algorithm to achieve tight glycemic control in the critically ill.

METHODS

A simulation environment with 10 critically ill virtual subjects was employed to evaluate the "I, Pancreas" algorithm proposed by Braithwaite et al. and described in an article in this issue of Journal of Diabetes Science and Technology. The algorithm was coded in MATLAB and was "plugged in" to a simulation environment to provide glucose control in a 48-hour-long simulated study.

RESULTS

Mean blood glucose was 6.5 +/- 0.4 mmol/liter (118 +/- 7.8 mg/dl), percentage of time spent in the target glucose range was 38% (32-44%), and the hyperglycemic index was 0.6 (0.4 -1.0) mmol/liter [11.1 (7.7-18.1) mg/dl]. A single episode of mild hypoglycemia at 3.8 mmol/liter (69 mg/dl) was observed during 480 hours of glucose control.

CONCLUSION

In this initial in silico evaluation, the "I, Pancreas" algorithm provided a safe control of glucose in the simulated study and achieved tight glycemic control 38% of the time.

摘要

背景

本研究的目的是调查一种新提出的胰岛素滴定算法在危重症患者中实现严格血糖控制的效果。

方法

采用具有10名危重症虚拟受试者的模拟环境,以评估Braithwaite等人提出并在本期《糖尿病科学与技术杂志》一篇文章中描述的“I,胰腺”算法。该算法用MATLAB编码,并“插入”到模拟环境中,以便在长达48小时的模拟研究中提供血糖控制。

结果

平均血糖为6.5±0.4毫摩尔/升(118±7.8毫克/分升),处于目标血糖范围内的时间百分比为38%(32 - 44%),高血糖指数为0.6(0.4 - 1.0)毫摩尔/升[11.1(7.7 - 18.1)毫克/分升]。在480小时的血糖控制期间,观察到一次3.8毫摩尔/升(69毫克/分升)的轻度低血糖事件。

结论

在本次初步的计算机模拟评估中,“I,胰腺”算法在模拟研究中提供了安全的血糖控制,且38%的时间实现了严格的血糖控制。