Detection of Different COVID-19 Pneumonia Phenotypes with Estimated Alveolar Collapse and Overdistention by Bedside Electrical Impedance Tomography⁎This research was partly supported by the German Federal Ministry of Education and Research (MOVE, Grant 13FH628IX6) and H2020 MCSA Rise (#872488 DCPM). Issue 15 (2021)

• Record Type: Journal Article
• Authors: Chen, Rongqing; Lovas, András; Benyó, Balázs; Möller, Knut
• Is Part Of: IFAC-PapersOnLine. Volume 54:Issue 15(2021)
• Page Start: 269
• Page End: 274
• Publication Date: 2021
• Subjects: biomedical imaging systems -- decision support systems for the control of physiological -- clinical variables -- control of voluntary movements -- respiration -- locomotion; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2021.10.267
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: COVID-19 induced acute respiratory distress syndrome (ARDS) could have two different phenotypes, which was reported to have different response and outcome to the typical ARDS positive end-expiration pressure (PEEP) treatment. The identification of the different phenotypes in terms of the recruitability can help improve the patient outcome. In this contribution we conducted alveolar overdistention and collapse analysis with the long term electrical impedance tomography monitoring data on two severe COVID-19 pneumonia patients. The result showed different patient reactions to the PEEP trial, revealed the progressive change in the patient status, and indicted a possible phenotype transition in one patient. It might suggest that EIT can be a practical tool to identify phenotypes and to provide progressive information of COVID-19 pneumonia.