RESUMO
BACKGROUND AND OBJECTIVE: Adrenal incidentalomas (AIs) are lesions larger than 1 cm that are incidentally detected in the adrenal glands. Chest computed tomography (CCT) is widely used in the first evaluation of patients with suspected coronavirus disease (COVID-19) that resulted in many incidental findings in the thorax and upper abdomen. In this study, we aimed to investigate the frequency of AI and their effects on the course and outcome of COVID-19 regardless of functional status. MATERIAL AND METHODS: We included 2493 patients aged between 18 and 99 years and whose adrenal glands were clearly visible in CCT images. They were divided into two groups: those with AI (AI group) and without AI (Control group). RESULTS: AI was detected in 148 (5.93%) patients and 80 (54.1%) of them were male. There was no difference in sex distribution between the groups, but the median age of patients with AI was significantly higher than those without AI [54.5 (20-94 years) vs. 42 (18-99 years); p < 0.001)]. In addition, in the AI group, both hospitalizations due to COVID-19-related conditions (30.4 vs. 21.2%, p = 0.008) and the mortality rate experienced during this time was significantly higher (14.7 vs. 7%, p < 0.001) diseases. The AI group had a significantly higher comorbidity rate than the control group (61.5 vs. 41.9%, p < 0.001). The most common comorbid diseases were hypertension, cardiovascular diseases, diabetes mellitus, respiratory system diseases, and hyperlipidaemia. Advanced age and male gender in terms of mortality, advanced age and covid 19 positivity in terms of hospitalization were determined as significant risk factors. CONCLUSIONS: The presence of AI may increase the morbidity and mortality rates associated with COVID-19, regardless of their functional status. Therefore, patients subjected to CCT imaging for COVID-19-related lung diseases should also be evaluated for AI. Careful follow-up of patients with COVID-19 and AI is necessary to monitor the progression of COVID-19.
