Effect of respiratory effort on target minute ventilation during Adaptive Support Ventilation.

Background: Adaptive support ventilation (ASV) is an intelligent mode of mechanical protocol which uses a closed-loop control between breaths. The algorithm states that for given level alveolar ventilation, there particular respiratory rate and tidal volume achieve lower work breathing. allows the clinician to set desired minute percentage (MV%) while ventilator automatically selects target ventilatory pattern base on these inputs feedback from monitoring system. goal minimize breathing reduce complications by allowing adjust breath delivery taking into account patient’s mechanics (Resistance, Compliance). In this study we examine effect patients’ effort (VT) Minute Ventilation (V̇e) during ASV using simulator. Methods: A bench was performed ASL 5000 simulator compare actual VT V̇e value in simulated patients with various Hamilton G5 ventilator. clinical scenario involves adult male IBW 70kg normal lung mechanics: compliance 70 mL/cm H2O, airway resistance 9 cm H2O/L/s. Simulated were subjected five different muscle pressure (Pmus): 0 (Passive), -5, -10, -15, -25 (Active) H2O at 10 (below targeted VT) three levels goals: 100%, 200%, 300%, PEEP 5 H2O. Fifty breaths analyzed every experiment. Means standard deviations (SD) variables calculated. One way analysis variants done values. Pearson correlation coefficient test used calculate VT, V̇e, peak inspiratory (PIP). Results: not significant passive patient when no present, however significantly higher active all Pmus 200% 300 MV%. increase correlated 100 200 MV% but did 300%. Conclusions: Higher efforts resulted than ones. Estimating important setting ASV. Keywords: Mechanical ASV, InteliVent, Pmus, volume, percent