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推注顾问:误差来源与改进目标

Bolus Advisors: Sources of Error, Targets for Improvement.

作者信息

Walsh John, Roberts Ruth, Bailey Timothy S, Heinemann Lutz

机构信息

1 Advanced Metabolic Care and Research, Escondido, CA, USA.

2 Diabetes Services, Inc, San Diego, CA, USA.

出版信息

J Diabetes Sci Technol. 2018 Jan;12(1):190-198. doi: 10.1177/1932296817718213. Epub 2017 Jul 25.

DOI:10.1177/1932296817718213
PMID:28741369
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5761976/
Abstract

Bolus advisors that are designed to improve the accuracy of individual bolus doses relative to a meal's carb content and the current glucose have not substantially changed since they were introduced 15 years ago despite an obvious need for enhancement and innovation. Although some glycemic benefits have been demonstrated, bolus advisors largely ignore the large amounts of clinical data they gather that could have a significant impact on glucose outcomes. Concerns have also been raised regarding the aggressive nature of largely unpublished or poorly explained bolus advisor algorithms. Hypoglycemia and hyperglycemia remain significant risks due to inaccurate bolus advisor settings and the absence of tracking or an inappropriate handling of bolus on board. This review covers common sources for bolus advisor error such as the selection of physiologically inappropriate bolus advisor settings, the use of short duration of insulin action times, poor algorithm logic that tends to cover all carb intake fully, and an excessive reliance on simplistic dosing algorithms. As well as discussing these areas, we provide 21 ways to improve current bolus calculators.

摘要

自15年前推出以来,旨在根据餐食碳水化合物含量和当前血糖水平提高单次大剂量胰岛素准确性的大剂量胰岛素输注建议器,尽管明显需要改进和创新,但基本没有变化。虽然已证明有一些血糖益处,但大剂量胰岛素输注建议器很大程度上忽略了它们收集的大量临床数据,而这些数据可能对血糖结果产生重大影响。对于很大程度上未发表或解释不清的大剂量胰岛素输注建议器算法的激进性质,也有人提出了担忧。由于大剂量胰岛素输注建议器设置不准确、缺乏追踪或对体内大剂量胰岛素处理不当,低血糖和高血糖仍然是重大风险。本综述涵盖了大剂量胰岛素输注建议器错误的常见来源,例如选择生理上不合适的大剂量胰岛素输注建议器设置、使用短效胰岛素作用时间、倾向于完全覆盖所有碳水化合物摄入量的算法逻辑不佳以及过度依赖简单的给药算法。除了讨论这些领域外,我们还提供了21种改进当前大剂量胰岛素输注计算器的方法。

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本文引用的文献

1
Bolus Calculator Safety Mandates a Need for Standards.推注计算器安全要求制定标准。
J Diabetes Sci Technol. 2017 Jan;11(1):3-6. doi: 10.1177/1932296816685475. Epub 2016 Dec 20.
2
Evidence-based Mobile Medical Applications in Diabetes.循证移动医疗糖尿病应用
Endocrinol Metab Clin North Am. 2016 Dec;45(4):943-965. doi: 10.1016/j.ecl.2016.06.001. Epub 2016 Oct 8.
3
An Adaptive Nonlinear Basal-Bolus Calculator for Patients With Type 1 Diabetes.一种适用于1型糖尿病患者的自适应非线性基础-大剂量计算器。
J Diabetes Sci Technol. 2017 Jan;11(1):29-36. doi: 10.1177/1932296816666295. Epub 2016 Sep 25.
4
An Advanced Bolus Calculator for Type 1 Diabetes: System Architecture and Usability Results.一种用于1型糖尿病的高级推注计算器:系统架构与可用性结果
IEEE J Biomed Health Inform. 2016 Jan;20(1):11-7. doi: 10.1109/JBHI.2015.2464088. Epub 2015 Aug 3.
5
Optimization of insulin pump therapy based on high order run-to-run control scheme.基于高阶逐次控制方案的胰岛素泵治疗优化。
Comput Methods Programs Biomed. 2015 Jul;120(3):123-34. doi: 10.1016/j.cmpb.2015.04.010. Epub 2015 Apr 28.
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Smartphone apps for calculating insulin dose: a systematic assessment.用于计算胰岛素剂量的智能手机应用程序:一项系统评估。
BMC Med. 2015 May 6;13:106. doi: 10.1186/s12916-015-0314-7.
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J Diabetes Sci Technol. 2014 Jan;8(1):142-149. doi: 10.1177/1932296813511725. Epub 2014 Jan 1.