Medium-term chest computed tomography (CT) follow-up of COVID-19 pneumonia patients after recovery to assess the rate of resolution and determine the potential predictors of persistent lung changes

Abstract Background The data on medium-term follow-up of coronavirus disease-19 (COVID-19) pneumonia survivors is scarce. Medium-term will generate knowledge and help in devising a structured plan to facilitate enrolment clinical trials assessing the role antifibrotic drugs modifying course disease order avert long-term pulmonary sequelae disease. study was aimed evaluate lung findings (3 months or more) chest computed tomography (CT) COVID-19 survivors, assess rate resolution persistence abnormalities identify initial demographic, clinical, imaging characteristics that could potentially predict follow-up. Results Out total cohort 81 patients, 46 (56.8%) demonstrated complete remaining 35 (43.2%) had residual opacities CT. most common type abnormality ground glass opacity (GGO) (16/35; 45.7%), followed by parenchymal bands (9/35; 25.7%), mixed pattern GGO (6/35; 17.2%), bronchiectasis interlobular septal thickening (4/35; 11.4%). Patients with were older, higher BMI, more comorbidities, lower SpO2, longer hospital stay, intensive care unit (ICU) admission, WBC count, CT severity score, steroid administration all p values < 0.05. Conclusion Nearly half post-COVID-19 after ? 3 Certain clinico-radiological have potential individuals at risk having