Radiological Features and Outcomes of COVID-19 Associated ARDS Patients with Barotrauma

Author:

GONDEREN Kamil1,YILDIRIM Mehmet2,YILDIRIM Fatma3ORCID,ŞİMŞEK Meltem2

Affiliation:

1. Kütahya University of Health Sciences, Evliya Çelebi Training and Research Hospital

2. University of Health Sciences, Diskapi Yildirim Beyazit Research and Education Hospital

3. University of Health Sciences, Gulhane Faculty of Medicine, Department of Chest Diseases, Diskapi Yildirim Beyazit Research and Education Hospital

Abstract

Objective: Barotrauma developing spontaneously or associated with positive pressure ventilation applied as respiratory support therapy is reported more frequently in patients with novel coronavirus 2019 (COVID-19). In this study, we aimed to determine the incidence of barotrauma in critically-ill patients with COVID-19 associated acute respiratory distress syndrome (ARDS) who received invasive mechanical ventilation (IMV), (non-invasive mechanical ventilation NIMV) or high flow nasal oxygen therapy (HFNO) and reveal clinical features, radiological findings and outcomes of these patients. Materials and Methods: In this two-center study, the frequency and clinical characteristics of patients who developed barotrauma while being followed up in the ICU due to COVID-19 were retrospectively investigated. Results: Barotrauma was detected in 29 (4.4%) of 660 patients. Nineteen (65.5%) patients developed pneumothorax, 5 (17.2%) patients developed pneumomediastinum, 5 (17.2%) patients developed subcutaneous emphysema; 18 (62.1%) patients underwent tube thoracostomy, 11 (37.9%) patients were followed conservatively. When barotrauma developed, 17 (58.6%) patients were receiving IMV, 11 (37.9%) patients were receiving NIMV, and 1 (3.4%) patient was receiving HFNO. The mean length of stay in the ICU was 15.3±10.8 days, 19 (65.5%) of the patients died. Conclusion: Barotrauma is not uncommon in COVID-19 ARDS patients; It is a complication that can increase mortality and length of stay in ICU.

Publisher

Sakarya Tip Dergisi

Subject

General Computer Science

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