Control And Automation In Anaesthesia PDF Download

Automated control of mechanical ventilation during general anesthesia u2013preliminary results of a bicentric observational study.P. Schley1, D. Schadler1, G. Miestinger2, T. Becher1, N. Weiler1, C. Hu00f6rmann21 Department of Anesthesiology and Intensive Care Medicine, University Medical Center Schleswig-Holstein, Campus Kiel - Kiel (Germany), 2 Department of Anesthesiology and Intensive Care Medicine, University Hospital St. Pu00f6lten - St. Pu00f6lten (Austria)Background and Goal of Study:Several systems for automated control of mechanical ventilation on intensive care ventilators exists and were successfully applied in clinical studies (1-2). The goal of this study is to examine safety and efficacy of a novel system for automated control of most of the ventilator settings on an anaesthesia machine.Materials and Methods: The novel system called Smart Ventilation Control (SVC) controls automatically the mechanical breathing frequency, inspiratory pressure, pressure support, inspiratory time and trigger sensitivity with the aim to keep a patient stable in user adoptable target zones. Patients are eligible for study inclusion when all of the following criteria are met: Classified to American Society of Anesthesiologists physical status I, II or III, scheduled for elective surgery of the upper or lower limb or for peripheral vascular surgery in general anesthesia, written consent for study participation. Primary endpoint of the study is the frequency of the following adverse events: Severe hypoventilation defined as minute volume lower than 40 ml/kg predicted body weight for longer than 5 minutes, apnea for longer than 90 seconds, Hyperventilation defined as PetCO2 lower than 5 mm Hg of the lower target setting for SVC for longer than 5 minutes, Hypoventilation defined as PetCO2 higher than 5 mm Hg of the upper target setting for the SVC for longer than 5 minutes, respiratory rate u2265 35 breaths/minute for longer than 5 minutes, any override or stop of the automated controlled ventilation settings by the anesthesiologist in charge if the settings are clinically not acceptable.Results and Discussion: We here report the safety analysis of the first n=14 included patients with a mean age u00b1standard deviation of 52u00b117 years and a mean height of 172u00b18 cm. We plan to recruit a total of n=100 patients. Until now, SVC performs well and no severe adverse events occurred.Conclusion(s): This is the first clinical study of a system that automatically controls most of the ventilator settings on an anaesthesia machine. Our preliminary results suggest, that the novel developed system is safe.References:1) Lellouche, F., et al. Am J Respir Crit Care Med 174:894-900 (2006). 2) Arnal, J. M., et al. Crit Care 17:R196 (2013).