RESUMEN
OBJECTIVE: To identify the risk factors of pulmonary cavitation in COVID-19 pneumonia. MATERIAL AND METHODS: 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). RESULTS: 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). CONCLUSION: 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.