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用于镇静最小化和呼吸机撤机的电子仪表盘及警报系统的临床影响:一项前后对照研究

Clinical Impact of an Electronic Dashboard and Alert System for Sedation Minimization and Ventilator Liberation: A Before-After Study.

作者信息

Anderson Brian J, Do David, Chivers Corey, Choi Katherine, Gitelman Yevgeniy, Mehta Shivan J, Panchandam Venkat, Gudowski Steve, Pierce Margie, Cereda Maurizio, Christie Jason D, Schweickert William D, Gabrielli Andrea, Huffenberger Ann, Draugelis Mike, Fuchs Barry D

机构信息

Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA.

Department of Medicine, University of Pennsylvania, Philadelphia, PA.

出版信息

Crit Care Explor. 2019 Oct 30;1(10):e0057. doi: 10.1097/CCE.0000000000000057. eCollection 2019 Oct.

Abstract

UNLABELLED

Sedation minimization and ventilator liberation protocols improve outcomes but are challenging to implement. We sought to demonstrate proof-of-concept and impact of an electronic application promoting sedation minimization and ventilator liberation.

DESIGN

Multi-ICU proof-of-concept study and a single ICU before-after study.

SETTING

University hospital ICUs.

PATIENTS

Adult patients receiving mechanical ventilation.

INTERVENTIONS

An automated application consisting of 1) a web-based dashboard with real-time data on spontaneous breathing trial readiness, sedation depth, sedative infusions, and nudges to wean sedation and ventilatory support and 2) text-message alerts once patients met criteria for a spontaneous breathing trial and spontaneous awakening trial. Pre-intervention, sedation minimization, and ventilator liberation were reviewed daily during a multidisciplinary huddle. Post-intervention, the dashboard was used during the multidisciplinary huddle, throughout the day by respiratory therapists, and text alerts were sent to bedside providers.

MEASUREMENTS AND MAIN RESULTS

We enrolled 115 subjects in the proof-of-concept study. Spontaneous breathing trial alerts were accurate (98.3%), usually sent while patients were receiving mandatory ventilation (88.5%), and 61.9% of patients received concurrent spontaneous awakening trial alerts. We enrolled 457 subjects in the before-after study, 221 pre-intervention and 236 post-intervention. After implementation, patients were 28% more likely to be extubated (hazard ratio, 1.28; 95% CI, 1.01-1.63; = 0.042) and 31% more likely to be discharged from the ICU (hazard ratio, 1.31; 95% CI, 1.03-1.67; = 0.027) at any time point. After implementation, the median duration of mechanical ventilation was 2.20 days (95% CI, 0.09-4.31 d; = 0.042) shorter and the median ICU length of stay was 2.65 days (95% CI, 0.13-5.16 d; = 0.040) shorter, compared with the expected durations without the application.

CONCLUSIONS

Implementation of an electronic dashboard and alert system promoting sedation minimization and ventilator liberation was associated with reductions in the duration of mechanical ventilation and ICU length of stay.

摘要

未标注

镇静最小化和呼吸机撤离方案可改善预后,但实施起来具有挑战性。我们试图证明一个促进镇静最小化和呼吸机撤离的电子应用程序的概念验证及影响。

设计

多重症监护病房概念验证研究和单重症监护病房前后对照研究。

设置

大学医院重症监护病房。

患者

接受机械通气的成年患者。

干预措施

一个自动化应用程序,包括1)一个基于网络的仪表板,提供关于自主呼吸试验准备情况、镇静深度、镇静剂输注以及减少镇静和呼吸机支持的提示等实时数据,以及2)一旦患者符合自主呼吸试验和自主清醒试验标准,就发送短信提醒。干预前,在多学科会诊期间每天审查镇静最小化和呼吸机撤离情况。干预后,在多学科会诊期间使用仪表板,呼吸治疗师全天使用,并且向床边医护人员发送短信提醒。

测量指标和主要结果

我们在概念验证研究中纳入了115名受试者。自主呼吸试验提醒准确(98.3%),通常在患者接受强制通气时发送(88.5%),61.9%的患者同时收到自主清醒试验提醒。我们在前后对照研究中纳入了457名受试者,干预前221名,干预后236名。实施后任何时间点,患者拔管的可能性增加28%(风险比,1.28;95%置信区间,1.01 - 1.63;P = 0.042),从重症监护病房出院的可能性增加31%(风险比,1.31;95%置信区间,1.03 - 1.67;P = 0.027)。实施后,与未应用该程序时的预期持续时间相比,机械通气的中位持续时间缩短了2.20天(95%置信区间,0.09 - 4.31天;P = 0.042),重症监护病房住院时间的中位值缩短了2.65天(95%置信区间,0.13 - 5.16天;P = 0.040)。

结论

实施促进镇静最小化和呼吸机撤离的电子仪表板和提醒系统与机械通气持续时间和重症监护病房住院时间的缩短相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4917/7063891/9bc0f01e9da6/cc9-1-e0057-g001.jpg

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