A Bench Model of Asynchrony in 6 Ventilators Equipped With Waveform-Guided Options.

IF 2.4 4区 医学 Q2 CRITICAL CARE MEDICINE Respiratory care Pub Date : 2025-01-29 DOI:10.1089/respcare.11422
Isabella Maria Bianchi, Eric Arisi, Marco Pozzi, Anita Orlando, Roberta Puce, Giuseppe Maggio, Federico Capra Marzani, Francesco Mojoli
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Abstract

Background: Pressure support ventilation is frequently associated with patient-ventilator asynchrony. Algorithms based on ventilator waveforms have been developed to automatically detect patient respiratory activity and to guide triggering and cycling. The aim of this study was to assess the performance in terms of synchronization of 6 mechanical ventilators, all provided with a waveform-guided software. Methods: This was a bench study to compare standard and new-generation systems simulating different respiratory mechanics, levels of assistance, and respiratory efforts. Six mechanical ventilators were tested: Hamilton G5 (G5) and C6 (C6), IMT bellavista1000 (B1000), Mindray SV300, and Philips RespironicsV200 (V200) and V60 (V60). Apart from V60, the other ventilators were tested twice: with default settings for standard triggering and cycling and with the waveform-guided automation. Results: With the automated settings, breaths with trigger delay ≤ 300 ms increased with B1000, G5, and C6. Ineffective efforts decreased with B1000, G5, C6, and V200. Improvement of triggering was mainly driven by findings obtained in the obstructive profile. With the automated settings, breaths with cycling delay > 300 ms decreased with B1000, G5, C6, and V200 while early cycled breaths increased with B1000. Improvement of cycling was mainly driven by findings obtained in the obstructive profile, whereas worsening of cycling was observed in the restrictive profile with 2 ventilators (B100 and V200). With the automated settings, the asynchrony index (AI) was reduced with G5 and C6 when all the profiles were grouped. In the obstructive profile, the AI decreased with B1000, G5, C6, and V200; in the restrictive profile, the AI increased with B1000. Conclusions: Waveforms-based algorithms have the potential to improve patient-ventilator synchronization. Automation had the most favorable impact when obstructive patients were simulated, while caution should be paid with restrictive ones.

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来源期刊
Respiratory care
Respiratory care 医学-呼吸系统
CiteScore
4.70
自引率
16.00%
发文量
209
审稿时长
1 months
期刊介绍: RESPIRATORY CARE is the official monthly science journal of the American Association for Respiratory Care. It is indexed in PubMed and included in ISI''s Web of Science.
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