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Bolus Advisors: Sources of Error Targets for Improvement

机译:Bolus Advisors:错误源改进目标

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摘要

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 Concerns have also been raised regarding the aggressive nature of largely unpublished or poorly explained bolus advisor algorithms.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.
机译:自15年前提出以来,Bolus顾问旨在提高相对于餐点碳水化合物含量和当前葡萄糖的单次推注剂量的准确性,尽管他们显然需要改进和创新。尽管已证明了某些血糖益处,但推注顾问很大程度上忽略了他们收集的大量临床数据,这些数据可能对血糖结果产生重大影响。人们还对大量未发布或解释不充分的推注顾问算法的侵略性提出了担忧。由于推注顾问的设置不正确以及船上没有追踪或对推注的不当处理,低血糖和高血糖仍然是重大风险。这篇综述涵盖了推注顾问错误的常见来源,例如生理上不合适的推注顾问设置的选择,胰岛素作用时间短的使用,算法逻辑欠佳(倾向于完全覆盖所有碳水化合物的摄入)以及过分依赖简化的给药算法。在讨论这些领域的同时,我们提供了21种方法来改进当前的推注计算器。

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