ABSTRACT
Purpose: To compare temporal evolution of imaging features of coronavirus disease 2019 (COVID-19) and influenza in computed tomography and evaluate their predictive value for distinction. Methods: In this retrospective, multicenter study 179 CT examinations of 52 COVID-19 and 44 influenza critically ill patients were included. Lung involvement, main pattern (ground glass opacity, crazy paving, consolidation) and additional lung and chest findings were evaluated by two independent observers. Additional findings and clinical data were compared patient-wise. A decision tree analysis was performed to identify imaging features with predictive value in distinguishing both entities. Results: In contrast to influenza patients, lung involvement remains high in COVID-19 patients > 14 days after the diagnosis. The predominant pattern in COVID-19 evolves from ground glass at the beginning to consolidation in later disease. In influenza there is more consolidation at the beginning and overall less ground glass opacity (p = 0.002). Decision tree analysis yielded the following: Earlier in disease course, pleural effusion is a typical feature of influenza (p = 0.007) whereas ground glass opacities indicate COVID-19 (p = 0.04). In later disease, particularly more lung involvement (p < 0.001), but also less pleural (p = 0.005) and pericardial (p = 0.003) effusion favor COVID-19 over influenza. Regardless of time point, less lung involvement (p < 0.001), tree-in-bud (p = 0.002) and pericardial effusion (p = 0.01) make influenza more likely than COVID-19. Conclusions: This study identified differences in temporal evolution of imaging features between COVID-19 and influenza. These findings may help to distinguish both diseases in critically ill patients when laboratory findings are delayed or inconclusive.
ABSTRACT
Background: Since the initial emergence of the novel SARS-CoV-2 coronavirus responsible for the 2019 coronavirus disease (COVID-19) pandemic, many studies have been exploring the nature and characteristics of this virus and its associated clinical manifestations. The present study aimed to describe the clinical presentation and outcomes of COVID-19 infections in pediatric patients. Methods: A retrospective review of findings associated with 143 pediatric patients (age <14 years) with a confirmed COVID-19 diagnosis who had undergone inpatient or outpatient treatment at King Faisal Specialist Hospital and Research Center in Riyadh, Saudi Arabia, between March 2020 and October 2020, was conducted. The analyzed data included patient demographic information, pre-existing medical conditions, symptoms, interventions, and outcomes. Results: The median age of this patient population was 7 years. Of these 143 patients, 67 (46.8%) had known pre-existing medical conditions including bronchial asthma (12.8%), chronic lung disease (CLD) (3%), congenital heart disease (CHD) (17%), primary immunodeficiencies (1.5%), malignancies (9.8%), and 7.5% were post-transplant patients. Thirty-seven patients (26%) were overweight or obese. Sixty-three of these patients (51%) were symptomatic, with the most common symptom being fever (55%). Ultimately, 45 patients (31%) required admission to the hospital, with a median duration of hospitalization of 9.6 days for admitted patients. There were no documented cases of infection-related mortality among this pediatric cohort, although 11 patients experienced post-infectious complications that primarily manifested as a loss of taste and smell. Conclusion: These findings suggest that pediatric COVID-19 patients tend to experience mild forms of the disease, without any significant differences in disease severity as a function of patient gender or immune status.