Risk factors of pulmonary cavitation in COVID-19 pneumonia

Abstract

To identify the risk factors of pulmonary cavitation in COVID-19 pneumonia. A retrospective study included 8261 patients with COVID-19 between April 2020 and March 2022. Inclusion criteria: age >18 years, COVID-19 confirmed by polymerase chain reaction. Two cohorts of patients were formed: 40 patients with pulmonary cavitation and 40 patients without these lesions. Both groups were comparable in age, lung lesion volume and oxygenation. Sex, age, length of hospital-stay, CT grade of lung lesion, comorbidities, treatment, respiratory support, oxygen saturation and in-hospital outcomes were evaluated. The highest lung lesion volume during hospitalization was assessed. CT was performed upon admission and approximately every 5 days for evaluation of treatment. Statistical analysis was performed using the IBM SPSS Statistics software (IBM Corporation, USA). Patients with pulmonary cavitation significantly differed in age, SpO2, lung lesion volume, more common non-invasive ventilation and prolonged hospital-stay. Cardiovascular diseases were more common in both groups. Univariate logistic regression analysis revealed age, cardiovascular diseases, CT-based severity of lung damage, absence of biological therapy and non-invasive ventilation as risk factors of pulmonary cavitation. According to multivariate logistic regression analysis, these predictors were CT-based severity of lung damage and absence of biological therapy. Univariate logistic regression analysis showed that pulmonary cavitation had no significant effect on mortality (OR=2.613, 95% CI: 0.732-9.322, p=0.139). The risk of pulmonary cavitation in COVID-19 is directly related to advanced lung damage and untimely or absent biological therapy with IL-6 inhibitors. Pulmonary cavitation in COVID-19 is not a typical manifestation of disease and can be caused by some factors: fungal infection, secondary bacterial infection, tuberculosis and pulmonary infarction. Further study of this problem is required to develop diagnostic algorithms and treatment tactics.