Visualizing Regional Lung Ventilation in Patients With Postacute-COVID-19

COVID-19, Electric Impedance Tomography, Post-acute COVID-19 Syndrome, Post-COVID-19 Syndrome, Ventilatory Defect

post-acute COVID-19 syndrome, EIT, Electric impedance tomographie, long-COVID, post-COVID-19 Syndrome (PCS)

There is a lack of data of spontaneous breathing patients with post-COVID-19 syndrome (PCS) examined by Electrical impedance tomography (EIT). We compare 100 patients with PCS with 50 healthy probands.

When treating patients with dyspnoea, conventional diagnostic tools (computed tomography, spirometry, body plethysmography) often fail to detect pathological changes, making it difficult for the treating physician to choose an appropriate therapeutic approach. Therefore, it would be desirable to have an examination method that reveals the pulmonary changes in postacute Corona-Virus-Disease-2019 (COVID-19) syndrome (PCS) patients that remain hidden from other diagnostic procedures. Electrical impedance tomography (EIT) is a non-invasive and radiation-free imaging technique that can show the regional ventilation of the lungs almost in real-time based on the changes in the electrical impedance of the thorax during inspiration and expiration. This method is based on the observation that the electrical conductivities of biological tissues vary considerably depending on their nature and functional state. Clinical questions in which the inhomogeneity of lung ventilation is to be analysed (e.g., under- or overinflation of individual lung areas, lung collapse, etc.) can be investigated particularly well with EIT since intrathoracic impedance changes correlate strongly with changes in regional lung ventilation. Up to now, EIT has mainly been used as a monitoring method in intensive care medicine to adapt ventilation settings and other therapeutic measures to the individual needs of patients. In this field, the method has proven useful for obtaining an overview of the distribution of a respiratory volume in a transverse EIT slice, comparing different lung regions, identifying inhomogeneities and assessing regional ventilation during spontaneous breathing. The aim of this case-control study is to use EIT data obtained during routine examinations of post-COVID patients to analyse whether patients with PCS show more distinct lung alterations than the control group. Maybe these lung alterations correlate with dyspnea most patients report subjectively.

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