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COVID-19 in Brazilian Pediatric Patients: A Retrospective Cross-Sectional Study with a Predictive Model for
Ana Paula Pacheco1,2,3, Henrique Laureano2, Laire Schidlowski1,2
1Programa de Pós-Graduação em Biotecnologia Aplicada à Saúde da Criança e do Adolescente, Faculdades Pequeno Príncipe, Curitiba 80230-020, PR, Brazil.
Life (Basel, Switzerland)
|September 28, 2024
Summary
Fever and respiratory symptoms were common in pediatric COVID-19 patients. A predictive model identified key factors like respiratory distress and comorbidities that indicate hospitalization risk in children.
Area of Science:
- Pediatric infectious diseases
- Epidemiology of viral infections
Background:
- COVID-19 presents diverse symptoms in children.
- Understanding early symptoms is crucial for pediatric care.
Purpose of the Study:
- Identify frequent COVID-19 symptoms in pediatric patients at initial consultation.
- Develop a predictive model for hospitalization in children with SARS-CoV-2 infection.
Main Methods:
- Retrospective cross-sectional study of 1028 Brazilian pediatric patients (<18 years) with SARS-CoV-2.
- Analysis of clinical, demographic, laboratory data.
- Multivariate logistic regression for hospitalization prediction.
Main Results:
- Fever (64.1%) and respiratory symptoms (63.3%) were most common at first consultation.
- 204 patients hospitalized, including 11 with Pediatric Multisystem Inflammatory Syndrome.
- Predictors for hospitalization included respiratory distress, comorbidities, tachycardia, seizures, and vomiting.
Conclusions:
- Most pediatric COVID-19 cases were mild and managed outpatient.
- Identifying hospitalization predictors aids early medical decision-making for pediatric patients.
