Abstract
Abstract Disclosure: M. Jantarapootirat: None. C. Sriphrapradang: None. S. Traiwanatham: None. W. Boonsomsuk: None. S. Sungkanuparph: None. P. Hirunpat: None. Context: During the COVID-19 pandemic, both people with underlying diseases and previously healthy people had been infected with SARS-CoV-2. In our institute, most hospitalized patients underwent chest computed tomography (CT) to evaluate pulmonary involvement and complication of COVID-19. There is currently limited data regarding thyroid incidentalomas in healthy people. Objective: We aim to investigate the prevalence and predictors of thyroid incidentalomas among hospitalized patients with COVID-19. Methods: A single-center retrospective study included hospitalized patients aged ≥ 15 years with COVID-19 who underwent chest CT during April 2020 and October 2021. Thyroid incidentalomas were reviewed and identified by an experienced radiologist. Logistic regression analysis was used to determine predictors for thyroid incidentalomas. Results: Of 1,326 patients (mean age 49.4 years and 55.3% female) that were included, the prevalence of thyroid incidentalomas was 20.2%. Patients with thyroid incidentalomas were older (59.6 years vs 46.8 years, p <0.001) and had a higher proportion of females (63.4% vs 53.2%, p=0.003) than those without incidentalomas. On multivariate analysis, only female gender (OR 1.56; 95%CI, 1.17-2.07) and older age (OR 1.04; 95%CI, 1.03-1.05) were significantly associated with thyroid incidentalomas. Conclusion: In COVID-19 patients, the prevalence of thyroid incidentalomas identified on chest CT was higher (20.2%) compared with previous studies in the general population (<1% to 16.8%). The female gender and older age were independent factors associated with thyroid incidentalomas. The higher prevalence of thyroid incidentalomas among COVID-19 patients needs further studies to explore the association between thyroid nodules and SARS-CoV-2 infection. Presentation: Friday, June 16, 2023
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