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运用模糊逻辑控制急性呼吸窘迫综合征中的机械通气

Controlling mechanical ventilation in acute respiratory distress syndrome with fuzzy logic.

作者信息

Nguyen Binh, Bernstein David B, Bates Jason H T

机构信息

Pulmonary/Critical Care Medicine, Fletcher Allen Health Care, Burlington, VT.

School of Engineering, University of Vermont, Burlington, VT.

出版信息

J Crit Care. 2014 Aug;29(4):551-6. doi: 10.1016/j.jcrc.2014.03.009. Epub 2014 Mar 21.

Abstract

PURPOSE

The current ventilatory care goal for acute respiratory distress syndrome (ARDS) and the only evidence-based approach for managing ARDS is to ventilate with a tidal volume (VT) of 6 mL/kg predicted body weight (PBW). However, it is not uncommon for some caregivers to feel inclined to deviate from this strategy for one reason or another. To accommodate this inclination in a rationalized manner, we previously developed an algorithm that allows for VT to depart from 6 mL/kg PBW based on physiological criteria. The goal of the present study was to test the feasibility of this algorithm in a small retrospective study.

MATERIALS AND METHODS

Current values of peak airway pressure, positive end-expiratory pressure (PEEP), and arterial oxygen saturation are used in a fuzzy logic algorithm to decide how much VT should differ from 6 mL/kg PBW and how much PEEP should change from its current setting. We retrospectively tested the predictions of the algorithm against 26 cases of decision making in 17 patients with ARDS.

RESULTS

Differences between algorithm and physician VT decisions were within 2.5 mL/kg PBW, except in 1 of 26 cases, and differences between PEEP decisions were within 2.5 cm H2O, except in 3 of 26 cases. The algorithm was consistently more conservative than physicians in changing VT but was slightly less conservative when changing PEEP.

CONCLUSIONS

Within the limits imposed by a small retrospective study, we conclude that our fuzzy logic algorithm makes sensible decisions while at the same time keeping practice close to the current ventilatory care goal.

摘要

目的

急性呼吸窘迫综合征(ARDS)当前的通气护理目标以及管理ARDS的唯一循证方法是以6 mL/千克预测体重(PBW)的潮气量(VT)进行通气。然而,一些护理人员因某种原因倾向于偏离这一策略的情况并不少见。为了以合理的方式顺应这种倾向,我们之前开发了一种算法,该算法允许VT根据生理标准偏离6 mL/千克PBW。本研究的目的是在一项小型回顾性研究中测试该算法的可行性。

材料与方法

将气道峰压、呼气末正压(PEEP)和动脉血氧饱和度的当前值用于模糊逻辑算法,以确定VT应比6 mL/千克PBW相差多少以及PEEP应在当前设置的基础上改变多少。我们针对17例ARDS患者的26次决策情况,回顾性地测试了该算法的预测结果。

结果

算法与医生关于VT的决策差异在2.5 mL/千克PBW以内,26例中仅1例除外;关于PEEP的决策差异在2.5厘米水柱以内,26例中仅3例除外。在改变VT方面,该算法始终比医生更为保守,但在改变PEEP时则稍欠保守。

结论

在小型回顾性研究的限制范围内,我们得出结论,我们的模糊逻辑算法能够做出合理的决策,同时使实践操作接近当前的通气护理目标。

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本文引用的文献

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Elucidating the fuzziness in physician decision making in ARDS.
J Clin Monit Comput. 2013 Jun;27(3):357-63. doi: 10.1007/s10877-013-9449-2. Epub 2013 Mar 6.
6
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.
8
Barriers to providing lung-protective ventilation to patients with acute lung injury.
Crit Care Med. 2004 Jun;32(6):1289-93. doi: 10.1097/01.ccm.0000127266.39560.96.
9
Applying fuzzy logic to medical decision making in the intensive care unit.
Am J Respir Crit Care Med. 2003 Apr 1;167(7):948-52. doi: 10.1164/rccm.200207-777CP.
10
New ways to reduce unnecessary variation and improve outcomes in the intensive care unit.
Curr Opin Crit Care. 2001 Aug;7(4):304-11. doi: 10.1097/00075198-200108000-00015.

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