![]() ![]() The algorithm's calculated results highly correlate to the physician's ventilation settings with r = 0.975 for the inspiration pressure, and r = 0.902 for the inspiration time. The presented algorithm visualizes the patient-specific relations between inspiration pressure and inspiration time. We then retrospectively analyzed data from 16 ICU patients with mixed pathologies, whose ventilation had been previously optimized by ICU physicians with the goal of minimization of inspiration pressure, and compared the algorithm's 'optimized' settings to the settings that had been chosen by the physicians. Given this patient-specific relation, optimized settings in terms of minimal pI and adequate tE can be obtained. Incorporating the identified first order model of respiratory mechanics in the basic equation of alveolar ventilation yielded a nonlinear relation between ventilation parameters during PCV. This paper presents model-based calculations of inspiration pressure (pI), inspiration and expiration time (tI, tE) in pressure-controlled ventilation (PCV) and a retrospective evaluation of its results in a group of mechanically ventilated patients. Mathematical models of respiratory mechanics are able to capture the individual physiological condition and can be used to derive personalized ventilator settings. To minimize the risk of VILI, ventilator settings should be adapted to the individual patient properties. Mechanical ventilation carries the risk of ventilator-induced-lung-injury (VILI). Schranz, C Becher, T Schädler, D Weiler, N Möller, K Model-based setting of inspiratory pressure and respiratory rate in pressure-controlled ventilation. ![]()
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