ABSTRACT
BACKGROUND: In December 2019 the World Health Organization announced that the widespread severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection had become a global pandemic. The most affected organ by the novel virus is the lung, and imaging exploration of the thorax using computer tomography (CT) scanning and X-ray has had an important impact. MATERIALS AND METHODS: We assessed the prevalence of lung lesions in vaccinated versus unvaccinated SARS-CoV-2 patients using an artificial intelligence (AI) platform provided by Medicai. The software analyzes the CT scans, performing the lung and lesion segmentation using a variant of the U-net convolutional network. RESULTS: We conducted a cohort study at a tertiary lung hospital in which we included 186 patients: 107 (57.52%) male and 59 (42.47%) females, of which 157 (84.40%) were not vaccinated for SARS-CoV-2. Over five times more unvaccinated patients than vaccinated ones are admitted to the hospital and require imaging investigations. More than twice as many unvaccinated patients have more than 75% of the lungs affected. Patients in the age group 30-39 have had the most lung lesions at almost 69% of both lungs affected. Compared to vaccinated patients with comorbidities, unvaccinated patients with comorbidities had developed increased lung lesions by 5%. CONCLUSION: The study revealed a higher percentage of lung lesions among unvaccinated SARS-CoV-2-positive patients admitted to The National Institute of Pulmonology "Marius Nasta" in Bucharest, Romania, underlining the importance of vaccination and also the usefulness of artificial intelligence in CT interpretation.
ABSTRACT
Mental health comorbidities are common among tuberculosis patients, with higher prevalence among people with rifampicin-resistant/multidrug-resistant (RR/MDR) tuberculosis. TB and depression share common risk factors adding to the overall disease burden. There is limited evidence about prevalence of depression and anxiety symptoms among tuberculosis patients in Romania. We assessed the prevalence of depression and anxiety symptoms and their evolution over the course of the treatment in RR/MDR-TB patients receiving in-patient care at the National Institute of Pneumonology (NIP) "Marius Nasta" in Romania during May-September 2020. We conducted a cohort study and used the Hospital Anxiety and Depression Scale (HADS) to assess the prevalence of depression and anxiety (defined as score≥ 8) symptoms at admission (baseline) and the second month of in-patient treatment (follow-up). Difference between baseline and follow-up depression and anxiety symptoms were assessed using McNemar test. Binary logistic regression was used to evaluate the association between sociodemographic and clinical characteristics with the presence of depression and anxiety symptoms at baseline. The cohort included 46 patients, 63% were male, mean age was 46 (±13.3) years. The prevalence of depression and anxiety in our cohort was 46% and 43% at baseline respectively, and 50% and 39%, at the follow-up respectively. About one third (7/25) of patients who had normal HADS depression score at baseline, had an increase above the threshold at the second month of treatment. No statistical difference in prevalence of depression or anxiety was found between the baseline and second month of treatment. Unadjusted analysis showed that odds of depression at baseline was lower in patients with education above 8th grade compared to patients with education below 8th grade (odds ratio=0.2, 95% confidence interval: 0.1,0.8, p=0.026). The study revealed high prevalence of depression and anxiety among RR/MDR-TB patients admitted to the NIP, underlining the necessity of evaluating the mental health of TB patients and linking them to appropriate care.
