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基于开环、生理模型的决策支持系统可提供恰当的呼吸机设置。

An Open-Loop, Physiologic Model-Based Decision Support System Can Provide Appropriate Ventilator Settings.

机构信息

Respiratory and Critical Care Group, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.

Department of Morphology, Experimental Medicine and Surgery, Section of Anaesthesia and Intensive Care, Arcispedale Sant' Anna, University of Ferrara, Ferrara, Italy.

出版信息

Crit Care Med. 2018 Jul;46(7):e642-e648. doi: 10.1097/CCM.0000000000003133.

Abstract

OBJECTIVES

To evaluate the physiologic effects of applying advice on mechanical ventilation by an open-loop, physiologic model-based clinical decision support system.

DESIGN

Prospective, observational study.

SETTING

University and Regional Hospitals' ICUs.

PATIENTS

Varied adult ICU population.

INTERVENTIONS

Advice were applied if accepted by physicians for a period of up to 4-8 hours.

MEASUREMENTS AND MAIN RESULTS

Seventy-two patients were included for data analysis. Acceptance of advice was high with 95.7% of advice applied. In 41 patients in pressure support ventilation, following system advice led to significant decrease in PS, with PS reduced below 8 cm H2O in 15 patients (37%), a level not prohibiting extubation. Fraction of end-tidal CO2 values did not change, and increase in respiratory rate/VT was within clinical limits, indicating that in general, the system maintained appropriate patient breathing effort. In 31 patients in control mode ventilation, pressure control and tidal volume settings were decreased significantly, with tidal volume reduced below 8 mL/kg predicted body weight in nine patients (29%). Minute ventilation was maintained by a significant increase in respiratory rate. Significant reductions in FIO2 were seen on elevated baseline median values of 50% in both support and control mode-ventilated patients, causing clinically acceptable reductions in oxygen saturation.

CONCLUSIONS

The results indicate that during a short period, the clinical decision support system provided appropriate suggestions of mechanical ventilation in a varied ICU population, significantly reducing ventilation to levels which might be considered safe and beneficial.

摘要

目的

评估基于开放式、生理模型的临床决策支持系统提供机械通气建议的生理效果。

设计

前瞻性、观察性研究。

地点

大学和地区医院的 ICU。

患者

不同成年 ICU 患者。

干预措施

如果医生接受,建议将持续应用 4-8 小时。

测量和主要结果

共纳入 72 例患者进行数据分析。建议接受率高,达到 95.7%。在 41 例接受压力支持通气的患者中,遵循系统建议可显著降低 PS,15 例患者(37%)PS 降至 8cmH2O 以下,这一水平不会妨碍拔管。呼气末 CO2 分数没有变化,呼吸频率/潮气量增加在临床允许范围内,表明系统总体上维持了适当的患者呼吸努力。在 31 例接受控制通气模式的患者中,压力控制和潮气量设定显著降低,9 例患者(29%)潮气量降至预测体重 8ml/kg 以下。分钟通气量通过呼吸频率的显著增加得以维持。在接受支持通气和控制通气的患者中,基线中位数分别为 50%的 FIO2 显著降低,导致氧饱和度出现临床可接受的降低。

结论

结果表明,在短时间内,临床决策支持系统为不同 ICU 患者提供了适当的机械通气建议,可显著降低通气水平,这可能被认为是安全和有益的。

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