To the Editor:
With great interest, we read the research letter by Marazzo and colleagues (1) in which the effect of changing trunk inclination on respiratory function in patients with coronavirus disease (COVID-19)-associated acute respiratory distress syndrome is described. In our clinical practice, we repeatedly observed such rapid improvement of Vts upon change of trunk position from semirecumbent to supine flat. The rapidity of altered respiratory mechanics does not, in our view, favor a major role for alveolar recruitment but rather a varying distention of different lung areas compatible with a patchy pathomorphological manifestation of COVID-19. This clinical observation led us to hypothesize that different configurations of, for example, fibrotic and emphysematous pulmonary parenchyma differentially influence lung aeration depending on the inclination of the individual patient’s trunk.
Therefore, we set out to model diseased COVID-19 lungs using a finite element method–based mathematical pulmonary model using Ansys (2020 R2 ANSYS, Inc.), allowing simulation of distinct geometrical configurations of heterogeneously distributed parenchymal pathomorphology and its related local tissue mechanics (Figure 1). The model consists of five rows and three columns of rectangular blocks, representing a single lung, surrounded by a rigid supporting structure representing the thoracic cage. Each of the 15 blocks is composed of homogeneous material with mechanical properties described as elastic moduli, density, and yield strength as derived from the pathoanatomical literature and related to the modeled pathomorphological state of a specific anatomical lung area: fibrotic, emphysematous, or edematous (2, 3). The diaphragm at the caudal lung border is modeled as a plane with an imposed dynamic force simulating the intraabdominal pressure. The intraabdominal pressure depends on the degree of bed inclination: 8.4 mm Hg for 0°, 9.5 mm Hg for 15°, and 11 mm Hg for 30° of inclination (4). The gravitational force is represented by the x- and y-components, adapted accordingly for 15° and 30°. To test a representative set of clinically relevant pathomorphological manifestations as pulmonary COVID-19, more than 30 configurations of mechanical properties of the 15 blocks were tested, starting from homogeneous edema with an increasing number of blocks with fibrosis and emphysema in different and opposite positions (caudal versus cranial and dorsal versus ventral).
Figure 1.

Example configuration of the finite element method lung model (upper part) and representation of the resulting lung aeration in 0°, 15°, and 30° bed inclination (lower part).
The output was defined as aeration of the lung, summed over the 15 individual modeled blocks. After simulating all different configurations in three bed inclination angles, it was particularly the modeled phenotype of an edematous lung configurated with both cranial dorsal emphysema (⩾3 blocks) and caudal dorsal fibrosis (⩾3 blocks) that appeared to predict an increase in aeration when changing the bed inclination both from 0° to 15° and from 15° to 30° (Figure 1).
Although this straightforward computational finite element method approach is merely hypothesis generating, it is tempting to speculate whether combining these insights with pulmonary imaging techniques (e.g., computational tomography or electrical impedance tomography) would allow us to further validate our findings on a patient-specific basis. Ultimately, such modeling approach of pulmonary pathomorphological heterogenicity may advance our understanding of more patient-specific mechanical ventilation at an individualized degree of bed inclination in severe acute respiratory distress syndrome.
Footnotes
Originally Published in Press as DOI: 10.1164/rccm.202205-0931LE on June 2, 2022
Author disclosures are available with the text of this letter at www.atsjournals.org.
References
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