1. COVID-19 in Brazilian Pediatric Patients: A Retrospective Cross-Sectional Study with a Predictive Model for Hospitalization.
- Author
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Pacheco, Ana Paula, Laureano, Henrique, Schidlowski, Laire, Ciorcero, Natalia, Zanatto, Thalita, Borgmann, Ariela, Fragoso, Gabrielle, Giamberardino, Ana Luisa, Dourado, Renata, Anjos, Karine dos, João, Paulo, Assahide, Marina, Silveira, Maria Cristina, Costa-Junior, Victor, Giamberardino, Heloisa, and Prando, Carolina
- Subjects
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MULTISYSTEM inflammatory syndrome in children , *CHILD patients , *COVID-19 , *PREDICTION models , *VIRAL load - Abstract
Background: This study was conducted to ascertain the most frequent symptoms of COVID-19 infection at first consultation in a pediatric cohort and to devise a predictive model for hospitalization. Methods: This is a retrospective cross-sectional study of 1028 Brazilian patients aged <18 years with SARS-CoV-2 infection in a single reference hospital in the first year of the pandemic. Clinical, demographic, laboratory, and disease spectrum data were analyzed via multivariate logistic regression modeling to develop a predictive model of factors linked to hospitalization. Results: The majority of our cohort were schoolchildren and adolescents, with a homogeneous distribution concerning sex. At first consultation, most patients presented with fever (64.1%) and respiratory symptoms (63.3%). We had 204 admitted patients, including 11 with Pediatric Multisystem Inflammatory Syndrome. Increased D-dimer levels were associated with comorbidities (p = 0.018). A high viral load was observed in patients within the first two days of symptoms (p < 0.0001). Our predictive model included respiratory distress, number and type of specific comorbidities, tachycardia, seizures, and vomiting as factors for hospitalization. Conclusions: Most patients presented with mild conditions with outpatient treatment. However, understanding predictors for hospitalization can contribute to medical decisions at the first patient visit. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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