The impact of ventilation–perfusion inequality in COVID-19: a computational model

Author:

Busana Mattia1ORCID,Giosa Lorenzo2,Cressoni Massimo3,Gasperetti Alessio4,Di Girolamo Luca5,Martinelli Alessandra6,Sonzogni Aurelio7,Lorini Luca6,Palumbo Maria Michela1,Romitti Federica1,Gattarello Simone1,Steinberg Irene1,Herrmann Peter1,Meissner Konrad1,Quintel Michael1,Gattinoni Luciano1ORCID

Affiliation:

1. Department of Anesthesiology, Intensive Care and Emergency Medicine, University Medical Center of Göttingen, Göttingen, Germany

2. Department of Surgical Science, University of Turin, Italy

3. Unit of Radiology, IRCCS Policlinico San Donato, San Donato, Italy

4. Department of Cardiology, IRCCS Cardiologico Monzino, San Donato Milanese, Italy

5. Department of Intensive Care Medicine, IRCCS Policlinico San Donato, San Donato Milanese, Italy

6. ASST Papa Giovanni XXIII, Department of Intensive Care Medicine, Bergamo, Italy

7. ASST Papa Giovanni XXIII, Department of Pathology, Bergamo, Italy

Abstract

Hypothesizing that the non-aerated lung fraction as evaluated by the quantitative analysis of the lung computed tomography (CT) equals shunt (VA/Q = 0), we used a computational approach to estimate the magnitude of the ventilation–perfusion mismatch in severe COVID-19. The results show that a severe hyperperfusion of poorly ventilated lung region is likely the cause of the hypoxemia observed. The extensive microthrombosis of the pulmonary circulation may represent the pathophysiological mechanism of such VA/Q distribution.

Publisher

American Physiological Society

Subject

Physiology (medical),Physiology

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