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- W2022374869 abstract "<b><i>Background:</i></b> The digital Auto-Trak™ system is a technology capable of automatically adjusting the triggering and cycling mechanisms during pressure support ventilation (PSV). <b><i>Objective:</i></b> To compare Auto-Trak with conventional settings in terms of patient-ventilator synchrony and discomfort. <b><i>Methods:</i></b> Twelve healthy volunteers underwent PSV via the mouth by breathing through an endotracheal tube. In the conventional setting, a pressure support of 8 cm H<sub>2</sub>O with flow cycling (25% peak inspiratory flow) and a sensitivity of 1 cm H<sub>2</sub>O was adjusted. In Auto-Trak the triggering and cycling were automatically set. Discomfort, effort of breathing, and the asynchrony index (AI) were assessed. In a complementary bench study, the inspiratory and expiratory time delays were quantified for both settings in three mechanical models: ‘normal', obstructive (COPD), and restrictive (ARDS), using the ASL 5000 simulator. <b><i>Results:</i></b> In the volunteer study the AI and the discomfort scores did not differ statistically between the two settings. In the bench investigation the use of Auto-Trak was associated with a greater triggering delay in the COPD model and earlier expiratory cycling in the ARDS model but with no asynchronic events. <b><i>Conclusions:</i></b> Use of the Auto-Trak system during PSV showed similar results in comparison to the conventional adjustments with respect to patient-ventilator synchrony and discomfort in simulated conditions of invasive mechanical ventilation." @default.
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- W2022374869 date "2013-01-01" @default.
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- W2022374869 title "Effect of an Automatic Triggering and Cycling System on Comfort and Patient-Ventilator Synchrony during Pressure Support Ventilation" @default.
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