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

2021 | journal article. A publication with affiliation to the University of Göttingen.

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​The impact of ventilation–perfusion inequality in COVID-19: a computational model​
Busana, M.; Giosa, L.; Cressoni, M.; Gasperetti, A.; Di Girolamo, L.; Martinelli, A. & Sonzogni, A. et al.​ (2021) 
Journal of Applied Physiology130(3) pp. 865​-876​.​ DOI: https://doi.org/10.1152/japplphysiol.00871.2020 

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Authors
Busana, Mattia; Giosa, Lorenzo; Cressoni, Massimo; Gasperetti, Alessio; Di Girolamo, Luca; Martinelli, Alessandra; Sonzogni, Aurelio; Lorini, Luca; Palumbo, Maria Michela; Gattinoni, Luciano
Abstract
Hypothesizing that the non-aerated lung fraction as evaluated by the quantitative analysis of the lung computed tomography (CT) equals shunt (V A /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 V A /Q distribution.
COVID-19 infection may lead to acute respiratory distress syndrome (CARDS) where severe gas exchange derangements may be associated, at least in the early stages, only with minor pulmonary infiltrates. This may suggest that the shunt associated to the gasless lung parenchyma is not sufficient to explain CARDS hypoxemia. We designed an algorithm (Vent ri Q lar ), based on the same conceptual grounds described by J.B. West in 1969. We set 498 ventilation–perfusion (V A /Q) compartments and, after calculating their blood composition (PO 2 , PCO 2 , and pH), we randomly chose 10 6 combinations of five parameters controlling a bimodal distribution of blood flow. The solutions were accepted if the predicted PaO 2 and PaCO 2 were within 10% of the patient’s values. We assumed that the shunt fraction equaled the fraction of non-aerated lung tissue at the CT quantitative analysis. Five critically-ill patients later deceased were studied. The PaO 2 /FiO 2 was 91.1 ± 18.6 mmHg and PaCO 2 69.0 ± 16.1 mmHg. Cardiac output was 9.58 ± 0.99 L/min. The fraction of non-aerated tissue was 0.33 ± 0.06. The model showed that a large fraction of the blood flow was likely distributed in regions with very low V A /Q (Q mean  = 0.06 ± 0.02) and a smaller fraction in regions with moderately high V A /Q. Overall LogSD, Q was 1.66 ± 0.14, suggestive of high V A /Q inequality. Our data suggest that shunt alone cannot completely account for the observed hypoxemia and a significant V A /Q inequality must be present in COVID-19. The high cardiac output and the extensive microthrombosis later found in the autopsy further support the hypothesis of a pathological perfusion of non/poorly ventilated lung tissue. NEW & NOTEWORTHY Hypothesizing that the non-aerated lung fraction as evaluated by the quantitative analysis of the lung computed tomography (CT) equals shunt (V A /Q = 0), we used a computational approach to estimate the magnitude of the ventilation–perfusion inequality in severe COVID-19. The results show that a severe hyperperfusion of poorly ventilated lung region is likely the cause of the observed hypoxemia. The extensive microthrombosis or abnormal vasodilation of the pulmonary circulation may represent the pathophysiological mechanism of such V A /Q distribution.
Issue Date
2021
Journal
Journal of Applied Physiology 
ISSN
8750-7587
eISSN
1522-1601
Language
English

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