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In Silico Modeling of Coronavirus Disease 2019 Acute Respiratory Distress Syndrome: Pathophysiologic Insights and Potential Management Implications (2020)
Journal Article
Das, A., Saffaran, S., Chikhani, M., Scott, T. E., Laviola, M., Yehya, N., …Bates, D. G. (2020). In Silico Modeling of Coronavirus Disease 2019 Acute Respiratory Distress Syndrome: Pathophysiologic Insights and Potential Management Implications. Critical Care Explorations, 2(9), Article e0202. https://doi.org/10.1097/CCE.0000000000000202

Objectives: Patients with COVID-19 Acute Respiratory Distress Syndrome (CARDS) appear to present with at least two distinct phenotypes: severe hypoxemia with relatively well-preserved lung compliance and lung gas volumes (Type 1) and a more conventio... Read More about In Silico Modeling of Coronavirus Disease 2019 Acute Respiratory Distress Syndrome: Pathophysiologic Insights and Potential Management Implications.

Effect of oxygen fraction on airway rescue: a computational modelling study (2020)
Journal Article
Laviola, M., Niklas, C., Das, A., Bates, D. G., & Hardman, J. G. (2020). Effect of oxygen fraction on airway rescue: a computational modelling study. British Journal of Anaesthesia, 125(1), e69-e74. https://doi.org/10.1016/j.bja.2020.01.004

© 2020 British Journal of Anaesthesia Background: During induction of general anaesthesia, patients frequently experience apnoea, which can lead to dangerous hypoxaemia. An obstructed upper airway can impede attempts to provide ventilation. Although... Read More about Effect of oxygen fraction on airway rescue: a computational modelling study.