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儿童机械通气模拟:综述与未来展望

Simulations for mechanical ventilation in children: review and future prospects.

作者信息

Flechelles Olivier, Ho Annie, Hernert Patrice, Emeriaud Guillaume, Zaglam Nesrine, Cheriet Farida, Jouvet Philippe A

机构信息

Pediatric ICU, Sainte-Justine Hospital, University of Montreal, Montreal, QC, Canada H3T 1C5 ; Pediatric and Neonatal ICU, MFME Hospital, Fort de France, 97261 Martinique, France.

出版信息

Crit Care Res Pract. 2013;2013:943281. doi: 10.1155/2013/943281. Epub 2013 Mar 7.

DOI:10.1155/2013/943281
PMID:23533735
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3606750/
Abstract

Mechanical ventilation is a very effective therapy, but with many complications. Simulators are used in many fields, including medicine, to enhance safety issues. In the intensive care unit, they are used for teaching cardiorespiratory physiology and ventilation, for testing ventilator performance, for forecasting the effect of ventilatory support, and to determine optimal ventilatory management. They are also used in research and development of clinical decision support systems (CDSSs) and explicit computerized protocols in closed loop. For all those reasons, cardiorespiratory simulators are one of the tools that help to decrease mechanical ventilation duration and complications. This paper describes the different types of simulators described in the literature for physiologic simulation and modeling of the respiratory system, including a new simulator (SimulResp), and proposes a validation process for these simulators.

摘要

机械通气是一种非常有效的治疗方法,但存在许多并发症。模拟器在包括医学在内的许多领域被用于增强安全问题。在重症监护病房,它们用于教授心肺生理学和通气、测试呼吸机性能、预测通气支持的效果以及确定最佳通气管理。它们还用于临床决策支持系统(CDSS)的研发以及闭环中的显式计算机化协议。出于所有这些原因,心肺模拟器是有助于缩短机械通气时间和减少并发症的工具之一。本文描述了文献中针对呼吸系统生理模拟和建模所描述的不同类型的模拟器,包括一种新的模拟器(SimulResp),并为这些模拟器提出了一个验证过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee6e/3606750/8a2a25b25055/CCRP2013-943281.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee6e/3606750/2abdea64660e/CCRP2013-943281.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee6e/3606750/cbfa08a431c7/CCRP2013-943281.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee6e/3606750/8a2a25b25055/CCRP2013-943281.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee6e/3606750/2abdea64660e/CCRP2013-943281.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee6e/3606750/cbfa08a431c7/CCRP2013-943281.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee6e/3606750/8a2a25b25055/CCRP2013-943281.003.jpg

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Med Biol Eng Comput. 2012 Jan;50(1):43-51. doi: 10.1007/s11517-011-0843-y. Epub 2011 Nov 22.
3
Risk factors associated with increased length of mechanical ventilation in children.
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Front Physiol. 2019 Mar 26;10:220. doi: 10.3389/fphys.2019.00220. eCollection 2019.
4
Basics of Infant Conventional Mechanical Ventilation: An Interactive Animated Teaching Module.婴儿常规机械通气基础:交互式动画教学模块
MedEdPORTAL. 2017 Dec 14;13:10658. doi: 10.15766/mep_2374-8265.10658.
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Using machine learning models to predict oxygen saturation following ventilator support adjustment in critically ill children: A single center pilot study.使用机器学习模型预测危重症儿童呼吸机支持调整后氧饱和度:一项单中心初步研究。
PLoS One. 2019 Feb 20;14(2):e0198921. doi: 10.1371/journal.pone.0198921. eCollection 2019.
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Comparative performances analysis of neonatal ventilators.新生儿呼吸机的比较性能分析
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