Ventilation Practitoner Serge Heines schreef als  auteur mee aan dit onderzoek.

Ventilation Practitoner Serge Heines schreef als auteur mee aan dit onderzoek.

Ventilation Practitoner Serge Heines schreef als tweede auteur mee aan dit onderzoek.  

Background: Whether coronavirus disease 2019 acute respiratory distress syndrome (COVID-ARDS) and acute respiratory distress syndrome (ARDS) have a different phenotype remains subject of research and debate. We aimed to study the differences and similarities of electrical impedance tomography (EIT) parameters in patients with and without COVID-19.

Methods: This retrospective observational study included patients with an EIT measurement during ICU admission. EIT variables, including dynamic compliance, alveolar overdistension and collapse, were visualized for each positive end-expiratory pressure (PEEP) level of the EIT measurement using polynomial regression. Two-level linear mixed-effects regression with random intercept and slope for PEEP was performed for alveolar overdistension per PEEP level during EIT measurement in COVID-19 and non-COVID-19 patients.

Results: From October 2013 until October 2023, 131 COVID-19 patients and 128 non-COVID-19 patients underwent an EIT measurement. The overall pattern of dynamic compliance, alveolar overdistension and collapse was similar in COVID-19 and non-COVID-19 patients. Visual inspection of EIT variables showed a higher mean alveolar overdistension in COVID-19 patients compared to the non-COVID-19 patients (day 1-3: maximum 43.2 % vs maximum 26.1 %, day 4-6: maximum 46.8 % vs maximum 25.2 %, ≥7 days: maximum 41.4 % vs maximum 33.0 %). However, two-level linear mixed-effects regression with random intercept and slope for PEEP showed no statistically significant difference between COVID-19 and non-COVID-19 patients (-1.0 % [-3.5; 1.6], p = 0.459).

Conclusions: Regional lung dynamics were generally comparable in COVID-19 and non-COVID-19 patients when assessed by EIT. Based on these findings, mechanical ventilation protocols should be optimized for comparable parameters in COVID-19 and non-COVID-19 patients.

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