Evaluation of predictors of severe-moderate COVID-19 infections at children: A review of 292 children.

Although the underlying disease is associated with a severe course in adults and laboratory abnormalities have been widely reported, there are not sufficient data on the clinical course of coronavirus disease 2019 (COVID-19) in children with pre-existing comorbid conditions and on laboratory findings. We aimed to describe the independent risk factors for estimating the severity of the COVID-19 in children. All children between 1 month and 18 years old who were hospitalized during the period of March 11-December 31, 2020, resulting from COVID-19 were included in the study. Patients were categorized into mild (group 1) and moderate + severe/critically (group 2) severity based on the criteria. Demographic characteristics, comorbidities, and laboratory variables between the two groups were compared. A total of 292 children confirmed to have COVID-19 infection were included in the study. The most common associated diseases were obesity (5.1%) and asthma bronchiale (4.1%). We observed that disease progressed more severely in patients with underlying diseases, especially obesity and asthma bronchiale (for patients with obesity odds ratio [OR] 9.1, 95% confidence interval [CI] 1.92-43.28, p = 0.005 and for patients with asthma bronchiale OR 4.1, 95% CI 1.04-16.80, p = 0.044). In group 2 patients, presence of lymphopenia and hypoalbuminemia, and also an elevation in serum levels of C-reactive protein, procalcitonin, and uric acid were detected and these results were statistically significant (p values; p < 0.001, p = 0.046, p = 0.006, p = 0.045, p < 0.001, respectively). The strongest predictor of moderate-severe COVID-19 infections in the children was uric acid, with an odds ratio of 1.6 (95% CI 1.14-2.13, p = 0.005) and lymphocytes with an odds ratio of 0.7 (95% CI 0.55-0.88, p = 0.003). Although children are less susceptible to COVID-19, the pre-existing comorbid condition can predispose to severe disease. In addition, lymphopenia and high uric acid are indicators that COVID-19 infection may progress more severely.

Can laboratory findings predict pulmonary involvement in children with COVID-19 infection?

BACKGROUND: Studies investigating clinical and imaging findings of coronavirus disease 2019 (COVID-19) pneumonia and predictors for lung injury mostly focus on adults. In this study, we aimed to evaluate the role of laboratory findings in predicting lung involvement in children with COVID-19. METHODS: Children with COVID-19 confirmed by reverse-transcription polymerase chain reaction or COVID-19 IgM and who underwent chest computed tomography (CT) scans were reviewed retrospectively. Admission absolute neutrophil count (ANC), absolute lymphocyte count (ALC), ANC/ALC ratio, platelet count, D-dimer, fibrinogen, ferritin, procalcitonin, C-reactive protein (CRP), and lactate dehydrogenase levels were compared in patients with normal and abnormal CT scans. RESULTS: A total of 101 children were included. Among the patients, 68 (67.3%) had normal CT scans, and 33 (32.7%) had pulmonary involvement. The median CRP, ferritin, and fibrinogen levels were significantly higher in children with abnormal CT findings. The model of binary logistic regression based on the presence of cough, shortness of breath, fibrinogen, ferritin, and CRP levels showed that the possibility of having abnormal CT was 1.021 times more likely for every one unit increase in fibrinogen levels. CONCLUSION: Fibrinogen might be useful to predict pulmonary involvement of COVID-19 in children. Restricting radiological imaging to patients with significant symptoms and high fibrinogen levels might be helpful in children with COVID-19 infections.