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机械通气、镇静与预后 2014 年更新

Update in Mechanical Ventilation, Sedation, and Outcomes 2014.

机构信息

1 Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada.

2 Division of Respirology, Department of Medicine, University Health Network, Toronto, Ontario, Canada; and.

出版信息

Am J Respir Crit Care Med. 2015 Jun 15;191(12):1367-73. doi: 10.1164/rccm.201502-0346UP.

Abstract

Novel approaches to the management of acute respiratory distress syndrome include strategies to enhance alveolar liquid clearance, promote epithelial cell growth and recovery after acute lung injury, and individualize ventilator care on the basis of physiological responses. The use of extracorporeal membrane oxygenation (ECMO) is growing rapidly, and centers providing ECMO must strive to meet stringent quality standards such as those set out by the ECMONet working group. Prognostic tools such as the RESP score can assist clinicians in predicting outcomes for patients with severe acute respiratory failure but do not predict whether ECMO will enhance survival. Evidence continues to grow that novel modes of mechanical ventilation such as neurally adjusted ventilatory assist are feasible and improve patient physiology and patient-ventilator interaction; data on clinical outcomes are limited but supportive. Critical illness causes long-term psychological and function sequelae: the risk of a new psychiatric diagnosis and severe physical impairment is significantly increased in the months after discharge from the intensive care unit. These long-term effects might be amenable to changes in sedation practice and increased early mobilization. Daily sedation discontinuation enhances the validity of routine delirium assessment. Many critically ill patients merit assessment by palliative care clinicians; the demand for palliative care services among critically ill patients is expected to grow. Future trials to test therapies for critical illness must ensure that study designs are adequately powered to detect benefit using realistic event rates. Integrating "big data" approaches into treatment decisions and trial designs offers a potential means of individualizing care to enhance outcomes for critically ill patients.

摘要

急性呼吸窘迫综合征的治疗新方法包括增强肺泡液体清除、促进急性肺损伤后上皮细胞生长和恢复的策略,以及根据生理反应个体化呼吸机治疗。体外膜氧合(ECMO)的应用正在迅速发展,提供 ECMO 的中心必须努力达到严格的质量标准,如 ECMONet 工作组规定的标准。预后工具,如 RESP 评分,可以帮助临床医生预测严重急性呼吸衰竭患者的结局,但不能预测 ECMO 是否会提高生存率。越来越多的证据表明,神经调节通气辅助等新型机械通气模式是可行的,可以改善患者的生理和人机交互;但关于临床结局的数据有限,但支持这些模式。危重病会导致长期的心理和功能后遗症:从重症监护病房出院后的几个月内,新发精神诊断和严重身体损伤的风险显著增加。这些长期影响可能可以通过改变镇静实践和增加早期活动来改变。每日停止镇静可提高常规谵妄评估的有效性。许多危重病患者需要姑息治疗临床医生的评估;预计危重病患者对姑息治疗服务的需求将会增加。未来治疗危重病的试验必须确保研究设计有足够的能力,以使用现实的事件率来检测益处。将“大数据”方法整合到治疗决策和试验设计中,为危重病患者提供个性化护理以提高结局提供了一种潜在手段。

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