无创通气下患者与呼吸机的同步性通过一种自动实时波形分析算法得到改善:一项试验台研究。

IF 2.8 Q2 CRITICAL CARE MEDICINE
Yann Renaud, Jocelyne Auroi, Davy Cabrio, Ermes Lupieri, Jean-Daniel Chiche, Lise Piquilloud
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引用次数: 0

摘要

背景:由于固有的泄漏,在无创通气(NIV)期间获得良好的患者-呼吸机同步是具有挑战性的。IntelliSync +®软件(Hamilton medical, Bonaduz, CH)可与NIV模式一起使用,可对气道压力和流量时间曲线进行实时自动分析,以检测吸气和呼气之间的过渡。然后,它控制呼吸机的吸气和呼气阀,以改善患者与呼吸机的同步。这项NIV台架研究的主要目的是评估IntelliSync +®在测试呼吸机回路中存在9和20 L/min泄漏(不使用口罩),正常,阻塞性和约束性呼吸力学和两个水平的NIV压力支持(PS 8和14 cmH2O)时对同步的影响。为此,测量了触发呼吸机所需的时间(Td)和模拟呼吸结束与加压终止之间的差值(Tiex)。并对经典异步次数和呼吸机增压能力进行了评估。结果:与经典NIV模式(补偿泄漏并将吸气时间限制在2秒)相比,激活IntelliSync +®可改善Tiex,在临床相关设置中,在较小程度上改善Td。IntelliSync +®也显示出减少经典异步的趋势,特别是在泄漏流量增加后。高PS水平和病理性呼吸力学对系统的影响最为显著。特别是,在梗阻模型中,当存在大泄漏(20 L/min)和PS 14 cmH2O时,Tiex从0.61[0.56-0.64]降至0.16 [0.07-0.18]s, Td从0.07[0.06-0.08]降至0.06 [0.06-0.08]s。在挑战性较小的情况下,IntelliSync +®的益处较小。总体而言,激活IntelliSync +®后,呼吸机增压得到改善。结论:在这个NIV实验模型中,IntelliSync +®与NIV- ps一起使用,改善了呼气和吸气同步。在存在阻塞性和限制性呼吸力学和高压支持水平的情况下,它特别有效。这些临床前结果倾向于支持IntelliSync +®在存在泄漏的情况下改善患者与呼吸机同步的能力,并提供临床前数据,支持NIV期间自动算法的临床评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Patient-ventilator synchrony under non-invasive ventilation is improved by an automated real time waveform analysis algorithm: a bench study.

Patient-ventilator synchrony under non-invasive ventilation is improved by an automated real time waveform analysis algorithm: a bench study.

Patient-ventilator synchrony under non-invasive ventilation is improved by an automated real time waveform analysis algorithm: a bench study.

Patient-ventilator synchrony under non-invasive ventilation is improved by an automated real time waveform analysis algorithm: a bench study.

Background: Because of inherent leaks, obtaining good patient-ventilator synchrony during non-invasive ventilation (NIV) is challenging. The IntelliSync + ® software (Hamilton medical, Bonaduz, CH), that can be used together with the NIV mode, performs real-time automated analysis of airway pressure- and flow-time curves to detect the transition between inspiration and expiration. It then controls the ventilator inspiratory and expiratory valves to improve patient-ventilator synchrony. The main goal of this NIV bench study was to evaluate the impact of IntelliSync + ® on synchrony in the presence of leaks of 9 and 20 L/min in the tested ventilator circuit (no face mask used), with normal, obstructive and restrictive respiratory mechanics and two levels of NIV pressure support (PS 8 and 14 cmH2O). For this, the time needed to trigger the ventilator (Td) and the difference between the end of the simulated breath and the termination of pressurization (Tiex) were measured. The number of classical asynchronies and the ventilator pressurization capacity were also assessed.

Results: Compared to NIV delivered with the classical NIV mode (compensating leaks and limiting inspiratory time to 2 s), activating IntelliSync + ® improved Tiex and, to a lesser extent, Td in clinically relevant setups. IntelliSync + ® also showed a trend towards reducing classical asynchronies, particularly directly after leak flow increase. The impact of the system was most significant with high PS levels and pathological respiratory mechanics. Especially, in the obstructive model, in the presence of large leak (20 L/min) and PS 14 cmH2O, Tiex decreased from 0.61 [0.56-0.64] to 0.16 [0.07-0.18] s and Td from 0.07 [0.06-0.08] to 0.06 [0.06-0.08] s. In less challenging situations, IntelliSync + ® was less beneficial. Overall, ventilator pressurization was improved when IntelliSync + ® was activated.

Conclusions: In this NIV bench model, IntelliSync + ®, used in addition to NIV-PS, improved both expiratory and inspiratory synchrony. It was particularly efficient in the presence of obstructive and restrictive respiratory mechanics and high-pressure support levels. These pre-clinical results tend to support the ability of IntelliSync + ® to improve patient-ventilator synchrony in the presence of leaks and provide pre-clinical data supporting a clinical evaluation of the automated algorithm during NIV.

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来源期刊
Intensive Care Medicine Experimental
Intensive Care Medicine Experimental CRITICAL CARE MEDICINE-
CiteScore
5.10
自引率
2.90%
发文量
48
审稿时长
13 weeks
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