An analysis of the impact of the inclusion of expiration data on the fitting of a predictive pulmonary elastance model

Abstract

Mechanical ventilation is a primary therapy for patients with respiratory failure. However, incorrect ventilator settings can cause lung damage. Optimising ventilation while minimising risk is complex in practice. A common lung protective strategy is to titrate positive end-expiratory pressure (PEEP) to the point of minimum elastance. This process can result in additional available lung volume due to alveolar recruitment but comes with the risk of subjecting the lungs to excessive pressure and lung damage. Predictive elastance models can mitigate this risk by estimating airway pressure at a hi

Abstract by Morton Sophie; Docherty Paul; Dickson Jennifer; Chase J. Geoffrey, Current Directions in Biomedical Engineering (2018) — licensed CC BY 4.0.

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