Effects of Trigger Algorithms on Trigger Performance and Patient–Ventilator Synchrony

<b>Background:</b> Patient-ventilator synchrony is essential for successful patient-triggered ventilation. This study compared the ability of a trigger algorithm, based on detailed analysis of flow changes (IntelliSync+, Hamilton Medical), to trigger patient breaths with conventional algorithms. <b>Methods:</b> Three models with different lung mechanics (normal, ARDS, and COPD) at 3 severities were simulated with a lung model ventilated in pressure control continuous mandatory ventilation or pressure control continuous spontaneous ventilation (PC-CSV). Inspiratory pressure above PEEP was set at 15 cm H<sub>2</sub>O and PEEP at 5 cm H<sub>2</sub>O. Inspiratory trigger was selected from IntelliSync+ (IS+insp), flow trigger (1- 5 L/min), or pressure trigger (-1 to -5 cm H<sub>2</sub>O). In PC-CSV, expiratory trigger was set at IntelliSync+ (IS+exp) or cycling criteria (5%, 25%, and 40% for ARDS, normal, and COPD, respectively). Measurements were performed with and without leak (50% inspiratory tidal volume). Five breaths per condition were collected to calculate trigger delay time and asynchronous events. <b>Results:</b> For pressure trigger, none of the conditions resulted in 3 successfully triggered consecutive breaths. Overall trigger delay time was significantly longer with flow trigger than with IS+insp in normal (99 vs 81 ms without leak, <i>P</i> < .001; 98 vs 80 ms with leak, <i>P</i> < .001) and ARDS models (334 vs 223 ms without leak, <i>P</i> < .001; 320 vs 236 ms with leak, <i>P</i> = .02). Across all conditions, ineffective efforts occurred more frequently with flow trigger than with IS+insp (7.3% vs 1.5% without leak, <i>P</i> = .01; 10.8% vs 3.0% with leak, <i>P</i> = .01). In PC-CSV, overall cycling delay time with IS+exp was equivalent or longer compared with cycling criteria. <b>Conclusions:</b> In this lung model study, IS+insp demonstrated similar trigger time and fewer ineffective efforts compared with flow trigger even in simulated respiratory conditions, whereas cycling delay time was unaffected by IS+exp because of large variations between conditions.

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Publication Details

Journal
Respiratory Care
Published
2025-05-07
DOI
https://doi.org/10.1089/respcare.12694
Citations
2
Primary Topic
Respiratory Support and Mechanisms
Type
article
Field-Weighted Citation Impact
3.04
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article

Effects of Trigger Algorithms on Trigger Performance and Patient–Ventilator Synchrony

Taiga Itagaki, Jun Oto, Keisuke Morinishi, Yusuke Chikata et al.
2 citations
Respiratory Care
Respiratory Support and Mechanisms
3.04
article

Effects of Trigger Algorithms on Trigger Performance and Patient–Ventilator Synchrony

Taiga Itagaki, Jun Oto, Keisuke Morinishi, Yusuke Chikata, Yusuke Akimoto
article en
2 citations

Abstract

<b>Background:</b> Patient-ventilator synchrony is essential for successful patient-triggered ventilation. This study compared the ability of a trigger algorithm, based on detailed analysis of flow changes (IntelliSync+, Hamilton Medical), to trigger patient breaths with conventional algorithms. <b>Methods:</b> Three models with different lung mechanics (normal, ARDS, and COPD) at 3 severities were simulated with a lung model ventilated in pressure control continuous mandatory ventilation or pressure control continuous spontaneous ventilation (PC-CSV). Inspiratory pressure above PEEP was set at 15 cm H<sub>2</sub>O and PEEP at 5 cm H<sub>2</sub>O. Inspiratory trigger was selected from IntelliSync+ (IS+insp), flow trigger (1- 5 L/min), or pressure trigger (-1 to -5 cm H<sub>2</sub>O). In PC-CSV, expiratory trigger was set at IntelliSync+ (IS+exp) or cycling criteria (5%, 25%, and 40% for ARDS, normal, and COPD, respectively). Measurements were performed with and without leak (50% inspiratory tidal volume). Five breaths per condition were collected to calculate trigger delay time and asynchronous events. <b>Results:</b> For pressure trigger, none of the conditions resulted in 3 successfully triggered consecutive breaths. Overall trigger delay time was significantly longer with flow trigger than with IS+insp in normal (99 vs 81 ms without leak, <i>P</i> < .001; 98 vs 80 ms with leak, <i>P</i> < .001) and ARDS models (334 vs 223 ms without leak, <i>P</i> < .001; 320 vs 236 ms with leak, <i>P</i> = .02). Across all conditions, ineffective efforts occurred more frequently with flow trigger than with IS+insp (7.3% vs 1.5% without leak, <i>P</i> = .01; 10.8% vs 3.0% with leak, <i>P</i> = .01). In PC-CSV, overall cycling delay time with IS+exp was equivalent or longer compared with cycling criteria. <b>Conclusions:</b> In this lung model study, IS+insp demonstrated similar trigger time and fewer ineffective efforts compared with flow trigger even in simulated respiratory conditions, whereas cycling delay time was unaffected by IS+exp because of large variations between conditions.

Respiratory CareVol. 70(10)
Tokushima University Hospital (JP), Miyoshi Kasei (Japan) (JP), Tokushima Hospital (JP), Tokushima University (JP)
Affordable and clean energy
Openalex Percentile: Top 10%
Respiratory Support and Mechanisms
3.04
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