Mechanical ventilation guided by driving pressure optimizes local pulmonary biomechanics in an ovine model

Author:

Lagier David12ORCID,Zeng Congli3ORCID,Kaczka David W.45ORCID,Zhu Min6,Grogg Kira7,Gerard Sarah E.5ORCID,Reinhardt Joseph M.5ORCID,Ribeiro Gabriel C. Motta8ORCID,Rashid Azman9ORCID,Winkler Tilo9ORCID,Vidal Melo Marcos F.3

Affiliation:

1. Experimental Interventional Imaging Laboratory (LIIE), European Center for Research in Medical Imaging (CERIMED), Aix Marseille University, Marseille 13005, France.

2. Department of Anesthesia and Critical Care, University Hospital La Timone, APHM, Marseille 13005, France.

3. Department of Anesthesiology, Vagelos College of Physicians and Surgeons, Columbia University, New York City, NY 10032, USA.

4. Departments of Anesthesia and Radiology, University of Iowa, Iowa City, IA 52242, USA.

5. Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, IA 52242, USA.

6. Guizhou University South Campus, Guiyang City 550025, China.

7. Yale PET Center, Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT 06520, USA.

8. Biomedical Engineering Program, Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-594, Brazil.

9. Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.

Abstract

Mechanical ventilation exposes the lung to injurious stresses and strains that can negatively affect clinical outcomes in acute respiratory distress syndrome or cause pulmonary complications after general anesthesia. Excess global lung strain, estimated as increased respiratory system driving pressure, is associated with mortality related to mechanical ventilation. The role of small-dimension biomechanical factors underlying this association and their spatial heterogeneity within the lung are currently unknown. Using four-dimensional computed tomography with a voxel resolution of 2.4 cubic millimeters and a multiresolution convolutional neural network for whole-lung image segmentation, we dynamically measured voxel-wise lung inflation and tidal parenchymal strains. Healthy or injured ovine lungs were evaluated as the mechanical ventilation positive end-expiratory pressure (PEEP) was titrated from 20 to 2 centimeters of water. The PEEP of minimal driving pressure (PEEP DP ) optimized local lung biomechanics. We observed a greater rate of change in nonaerated lung mass with respect to PEEP below PEEP DP compared with PEEP values above this threshold. PEEP DP similarly characterized a breaking point in the relationships between PEEP and SD of local tidal parenchymal strain, the 95th percentile of local strains, and the magnitude of tidal overdistension. These findings advance the understanding of lung collapse, tidal overdistension, and strain heterogeneity as local triggers of ventilator-induced lung injury in large-animal lungs similar to those of humans and could inform the clinical management of mechanical ventilation to improve local lung biomechanics.

Publisher

American Association for the Advancement of Science (AAAS)

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