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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.
2
Variability of preference toward mechanical ventilator settings: a model-based behavioral analysis.偏好机械通气设定值的可变性:基于模型的行为分析。
J Crit Care. 2011 Dec;26(6):637.e5-637.e12. doi: 10.1016/j.jcrc.2011.01.006. Epub 2011 Mar 30.
3
Mechanical ventilation guided by esophageal pressure in acute lung injury.急性肺损伤中食管压力引导下的机械通气
N Engl J Med. 2008 Nov 13;359(20):2095-104. doi: 10.1056/NEJMoa0708638. Epub 2008 Nov 11.
4
Potential reasons why physicians underuse lung-protective ventilation: a retrospective cohort study using physician documentation.医生未充分使用肺保护性通气的潜在原因:一项使用医生记录的回顾性队列研究
Respir Care. 2008 Apr;53(4):455-61.
5
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.
6
Barriers to low tidal volume ventilation in acute respiratory distress syndrome: survey development, validation, and results.急性呼吸窘迫综合征低潮气量通气的障碍:调查的开展、验证及结果
Crit Care Med. 2007 Dec;35(12):2747-54. doi: 10.1097/01.CCM.0000287591.09487.70.
7
Respiratory controversies in the critical care setting. Should tidal volume be 6 mL/kg predicted body weight in virtually all patients with acute respiratory failure?
Respir Care. 2007 May;52(5):556-64; discussion 565-7.
8
Lung recruitment in patients with the acute respiratory distress syndrome.急性呼吸窘迫综合征患者的肺复张
N Engl J Med. 2006 Apr 27;354(17):1775-86. doi: 10.1056/NEJMoa052052.
9
Incidence and outcomes of acute lung injury.急性肺损伤的发病率及转归
N Engl J Med. 2005 Oct 20;353(16):1685-93. doi: 10.1056/NEJMoa050333.
10
Interventions to reduce mortality among patients treated in intensive care units.
J Crit Care. 2004 Sep;19(3):158-64. doi: 10.1016/j.jcrc.2004.07.003.

阐明 ARDS 中医生决策的模糊性。

Elucidating the fuzziness in physician decision making in ARDS.

机构信息

School of Engineering, University of Vermont, 149 Beaumont Avenue, HSRF 228, Burlington, VT 05405-0075, USA.

出版信息

J Clin Monit Comput. 2013 Jun;27(3):357-63. doi: 10.1007/s10877-013-9449-2. Epub 2013 Mar 6.

DOI:10.1007/s10877-013-9449-2
PMID:23463162
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3656147/
Abstract

The current standard of care for patients suffering from acute respiratory distress syndrome (ARDS) is ventilation with a tidal volume of 6 ml/kg predicted body weight (PBW), but variability remains in the tidal volumes that are actually used. This study aims to identify patient scenarios for which there is discordance between physicians in choice of tidal volume and positive end-expiratory pressure (PEEP) in ARDS patients. We developed an algorithm based on fuzzy logic for encapsulating the expertise of individual physicians regarding their use of tidal volume and PEEP in ARDS patients. The algorithm uses three input measurements: (1) peak airway pressure (PAP), (2) PEEP, and (3) arterial oxygen saturation (SaO₂). It then generates two output parameters: (1) the deviation of tidal volume from 6 ml/kg PBW, and (2) the change in PEEP from its current value. We captured 6 realizations of intensivist expertise in this algorithm and assessed their degree of concordance using a Monte Carlo simulation. Variability in the tidal volume recommended by the algorithm increased for PAP > 30 cmH₂O and PEEP > 5 cmH₂O. Tidal volume variability decreased for SaO₂ > 90 %. Variability in the recommended change in PEEP increased for PEEP > 5 cmH₂O and for SaO₂ near 90 %. Intensivists vary in their management of ARDS patients when peak airway pressures and PEEP are high, suggesting that the current goal of 6 ml/kg PBW may need to be revisited under these conditions.

摘要

目前,急性呼吸窘迫综合征(ARDS)患者的标准治疗方法是使用预测体重(PBW)为 6ml/kg 的潮气量进行通气,但实际使用的潮气量仍存在差异。本研究旨在确定 ARDS 患者中,医生在选择潮气量和呼气末正压(PEEP)方面存在差异的患者情况。我们开发了一种基于模糊逻辑的算法,用于封装个别医生在 ARDS 患者中使用潮气量和 PEEP 的专业知识。该算法使用三个输入测量值:(1)气道峰压(PAP),(2)PEEP,和(3)动脉血氧饱和度(SaO₂)。然后,它生成两个输出参数:(1)潮气量与 6ml/kg PBW 的偏差,和(2)PEEP 与其当前值的变化。我们在该算法中捕获了 6 次重症监护专家的专业知识,并使用蒙特卡罗模拟评估了它们的一致性程度。当 PAP > 30cmH₂O 和 PEEP > 5cmH₂O 时,算法推荐的潮气量变化的可变性增加。SaO₂>90%时,潮气量变化的可变性降低。当 PEEP > 5cmH₂O 和 SaO₂接近 90%时,推荐的 PEEP 变化的可变性增加。当气道峰压和 PEEP 较高时,重症监护医生在 ARDS 患者的管理方面存在差异,这表明在这些情况下,可能需要重新考虑目前 6ml/kg PBW 的目标。