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Dynamic relative regional strain visualized by electrical impedance tomography in patients suffering from COVID-19

Journal of Clinical Monitoring and Computing, ISSN: 1573-2614, Vol: 36, Issue: 4, Page: 975-985
2022
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Most Recent News

Researchers from University Medical Center Rostock Provide Details of New Studies and Findings in the Area of COVID-19 (Dynamic Relative Regional Strain Visualized By Electrical Impedance Tomography In Patients Suffering From Covid-19)

2023 APR 13 (NewsRx) -- By a News Reporter-Staff News Editor at NewsRx COVID-19 Daily -- Investigators discuss new findings in Coronavirus - COVID-19. According

Article Description

Respiratory failure due to SARS-CoV-2 may progress rapidly. During the course of COVID-19, patients develop an increased respiratory drive, which may induce high mechanical strain a known risk factor for Patient Self-Inflicted Lung Injury (P-SILI). We developed a novel Electrical Impedance Tomography-based approach to visualize the Dynamic Relative Regional Strain (DRRS) in SARS-CoV-2 positive patients and compared these findings with measurements in lung healthy volunteers. DRRS was defined as the ratio of tidal impedance changes and end-expiratory lung impedance within each pixel of the lung region. DRRS values of the ten patients were considerably higher than those of the ten healthy volunteers. On repeated examination, patterns, magnitude and frequency distribution of DRRS were reproducible and in line with the clinical course of the patients. Lung ultrasound scores correlated with the number of pixels showing DRRS values above the derived threshold. Using Electrical Impedance Tomography we were able to generate, for the first time, images of DRRS which might indicate P-SILI in patients suffering from COVID-19. Trial Registration This observational study was registered 06.04.2020 in German Clinical Trials Register (DRKS00021276).

Bibliographic Details

Pulletz, Sven; Krukewitt, Lisa; Gonzales-Rios, Pablo; Teschendorf, Peter; Kremeier, Peter; Waldmann, Andreas; Zitzmann, Amelie; Müller-Graf, Fabian; Acosta, Cecilia; Tusman, Gerado; Reuter, Daniel A; Böhm, Stephan H

Springer Science and Business Media LLC

Medicine

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