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Can Computer Decision Support Help Us Follow Our Own Rules in Pediatric Acute Respiratory Distress Syndrome?计算机决策支持能否帮助我们遵循儿科急性呼吸窘迫综合征的自身规则？
Pediatr Crit Care Med. 2020 Nov;21(11):1000-1001. doi: 10.1097/PCC.0000000000002567.
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Pediatric mechanical ventilators. An evaluation of performance characteristics.小儿机械通气机。性能特征评估。
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[Respiratory distress in the newborn infant. First results of the application of mechanical aide to assisted ventilation].[新生儿呼吸窘迫。机械辅助通气应用的初步结果]
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Real-Time Effort Driven Ventilator Management: A Pilot Study.实时努力驱动的呼吸机管理：一项初步研究。
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2
A Phase II randomized controlled trial for lung and diaphragm protective ventilation (Real-time Effort Driven VENTilator management).一项旨在保护肺部和膈肌的通气策略（实时努力驱动通气管理）的 II 期随机对照试验
Contemp Clin Trials. 2020 Jan;88:105893. doi: 10.1016/j.cct.2019.105893. Epub 2019 Nov 16.
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Phenotypes in acute respiratory distress syndrome: moving towards precision medicine.急性呼吸窘迫综合征的表型：迈向精准医学。
Curr Opin Crit Care. 2019 Feb;25(1):12-20. doi: 10.1097/MCC.0000000000000571.
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Next-Generation Machine Learning for Biological Networks.下一代生物网络机器学习。
Cell. 2018 Jun 14;173(7):1581-1592. doi: 10.1016/j.cell.2018.05.015. Epub 2018 Jun 7.
5
Positive End-Expiratory Pressure Lower Than the ARDS Network Protocol Is Associated with Higher Pediatric Acute Respiratory Distress Syndrome Mortality.呼气末正压低于 ARDS 网络协议与儿科急性呼吸窘迫综合征死亡率升高相关。
Am J Respir Crit Care Med. 2018 Jul 1;198(1):77-89. doi: 10.1164/rccm.201707-1404OC.
6
Epidemiology, Patterns of Care, and Mortality for Patients With Acute Respiratory Distress Syndrome in Intensive Care Units in 50 Countries.全球 50 个国家重症监护病房急性呼吸窘迫综合征患者的流行病学、治疗模式和死亡率。
JAMA. 2016 Feb 23;315(8):788-800. doi: 10.1001/jama.2016.0291.
7
Pediatric acute respiratory distress syndrome: consensus recommendations from the Pediatric Acute Lung Injury Consensus Conference.儿童急性呼吸窘迫综合征：儿童急性肺损伤共识会议的共识推荐
Pediatr Crit Care Med. 2015 Jun;16(5):428-39. doi: 10.1097/PCC.0000000000000350.
8
Diaphragm weakness in mechanically ventilated critically ill patients.机械通气的危重症患者的膈肌无力
Crit Care. 2013 Jun 20;17(3):R120. doi: 10.1186/cc12792.
9
Variability in usual care mechanical ventilation for pediatric acute lung injury: the potential benefit of a lung protective computer protocol.小儿急性肺损伤常规机械通气中的变异性：肺保护性计算机方案的潜在益处。
Intensive Care Med. 2011 Nov;37(11):1840-8. doi: 10.1007/s00134-011-2367-1. Epub 2011 Oct 1.
10
Positive end-expiratory pressure setting in adults with acute lung injury and acute respiratory distress syndrome: a randomized controlled trial.急性肺损伤和急性呼吸窘迫综合征成人患者呼气末正压设置：一项随机对照试验。
JAMA. 2008 Feb 13;299(6):646-55. doi: 10.1001/jama.299.6.646.

计算机决策支持能否帮助我们遵循儿科急性呼吸窘迫综合征的自身规则？

Can Computer Decision Support Help Us Follow Our Own Rules in Pediatric Acute Respiratory Distress Syndrome?

机构信息

Division of Pediatric Critical Care, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA.

Division of Pediatric Critical Care, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, UPMC Children's Hospital of Pittsburgh; and Division of Health Informatics, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA.

出版信息

Pediatr Crit Care Med. 2020 Nov;21(11):1000-1001. doi: 10.1097/PCC.0000000000002567.

DOI:10.1097/PCC.0000000000002567
PMID:33136985
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7884101/
Abstract

Computerized decision support in pediatric #ARDS may improve guideline compliance. Can #MachineLearning improve on this further? @drjonpelly and @cmhorvat discuss a new phase one clinical trial in this month’s @PedCritCareMed.

摘要

计算机化决策支持在儿科急性呼吸窘迫综合征 #ARDS 中可能会提高指南遵循率。#机器学习是否可以在此基础上进一步提高？@drjonpelly 和 @cmhorvat 在本月的@PedCritCareMed 上讨论了一项新的一期临床试验。