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Objective: We aimed to analyze clinical, radiological, and laboratory differences between vaccinated and unvaccinated patients admitted to hospital due to coronavirus disease-2019 (COVID-19) pneumonia. Methods: Patients hospitalized in the COVID-19 clinic between February 2022 and August 2022 were included in the study. Demographic, clinical features, and treatment results. Furthermore, the COVID-19 vaccination status of the cases was recorded. The cases were divided into two groups as those with and without COVID vaccination and compared. Results: A total of 215 patients were included in our study, and the patients were divided into 2 groups according to their vaccination status: those who were unvaccinated against COVID-19 (n=100) and those who vaccinated COVID-19 (n=115). The presence of comorbid chronic diseases and cancer was lower in the unvaccinated group. The duration of hospitalization was longer in the unvaccinated group than in the vaccinated group (9.6 and 7.1 days, respectively) (p<0.001). While there was no difference between the two groups in terms of the radiological involvement pattern, the number of involved segments was significantly higher in the unvaccinated group (p<0.05). The number of patients who received high-dose glucocorticoid therapy in the unvaccinated group was higher (28 cases vs. 11 cases; p<0.001). There was no statistically significant difference between the two groups in terms of transfer of patients to the intensive care unit (p>0.05). 11.3% (13/115) of the patients in the vaccinated group died, whereas 14% (14/100) died in the unvaccinated group. Conclusions: The vaccinated cases who were infected with COVID-19 had a shorter duration of hospitalization and lower severity of radiological involvement. The requirement for pulse steroids was also less compared with unvaccinated individuals. Despite having chronic diseases and cancer, which is considered to have a significant effect on mortality in COVID-19 patients. In addition, although the vaccinated group was older, they had mortality rates similar to those of unvaccinated subjects.
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BACKGROUND: Coronavirus disease 2019 (COVID-19) is a pandemic caused by the severe acute respiratory syndrome coronavirus in 2019. Although the real-time reverse tr-anscription PCR test for viral nucleic acids is the gold standard for COVID-19 diagnosis, computed tomography (CT) has grown in importance. AIM: To evaluate the sensitivity and specificity of thoracic CT findings of COVID-19 pneumonia according to age groups. METHODS: PCR and CT results from 411 patients were reviewed. The diagnosis of COVID-19 pneumonia was made by three radiologists. Lymphadenopathy, pericardial effusion, pleurisy, pleural thickening, pleural effusion, location features of the lesions, ground glass, consolidation, air bronchogram, vascular enlargement, bronchial dilatation, halo finding, inverted halo sign, nodularity, air bubble, subpleural band (curvilinear density), reticular density, crazy paving pattern, and fibrosis findings were recorded. The patients were divided into nine groups by decades while calculating the sensitivity, specificity, and diagnostic efficacy for CT positivity. RESULTS: The mean age of the cases was 48.1 ± 22.7 years. The CT finding with the highest diagnostic power was ground glass. Vascular enlargement and bronchial dilatation followed ground glass. Peri-cardial effusion was the finding with the lowest diagnostic accuracy. The incidence of lymphadenopathy, pleurisy, pleural thickening, peripheral localization, bilateral, ground glass, vascular enlargement, bronchial dilatation, subpleural band, reticular density, crazy paving appearance, and fibrosis all increased increase significantly with age in patients with positive real-time reverse transcription PCR test. CONCLUSION: There are few publications comparing sensitivity and specificity of thoracic CT findings according to age. In cases of COVID-19 pneumonia, there is an increase in the variety and frequency of CT findings with age, and parallel to this the sensitivity and specificity of the findings increase. COVID-19 cases in the pediatric age group have fewer lung findings than adults, and this situation decreases the diagnostic value of CT in pediatric patients.
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PURPOSE: Lung cancer is associated with high level of symptoms and patient-reported symptoms have been rarely used as a prognostic score to predict patients survival. METHODS: Frequency and burden of symptoms in lung cancer patients were evaluated before the diagnosis with the Memorial Symptom Assessment-Short Form (MSAS-SF) and Condensed Memorial Symptom Assessment Scale (CMSAS) questionnaires. Performance status, stage of disease, serum albumin, and C-reactive protein (CRP) levels were recorded. Patients were staged according to 8th TNM classification. A survival analysis was applied. RESULTS: The mean age of 116 patients (adenocarcinoma 51, squamous cell 43, non-small cell 5, small cell 17) was 65.2 ± 10.1 (28-87) years. The most common seen physical and psychological symptoms were cough (86.3%), lack of energy (74.3%), dyspnea (70.1%), and feeling sad (61.5%), feeling nervous (61.5%), and worrying (53.8%). Total and subscores of MSAS and CMSAS are significantly higher in M1 disease than M0 disease. All MSAS-SF and CMSAS scores, but not MSAS-PSYCH and CMSAS-PSYCH, positively correlated with age, high serum CRP, white blood cells/neutrophils counts, and TNM stage, and negatively correlated with albumin levels, performance status, and overall survival (OS). Median survival was 77, 195, 370, and 579 days for the four prognostic interquartile groups according to CMSAS-SUM score (p < 0.0001). CONCLUSION: MSAS-SF and CMSAS questionnaires can be useful tool for discriminating metastatic from non-metastatic disease in treatment-naïve patients with lung cancer. Since both questionnaires well correlated with OS and important prognostic factors, they can use to plan palliative care and to help for predicting survival of lung cancer patients.