COVID-19 in Brazilian Pediatric Patients: A Retrospective Cross-Sectional Study with a Predictive Model for Hospitalization.
Autor: | Pacheco AP; Programa de Pós-Graduação em Biotecnologia Aplicada à Saúde da Criança e do Adolescente, Faculdades Pequeno Príncipe, Curitiba 80230-020, PR, Brazil.; Instituto de Pesquisa Pelé Pequeno Príncipe, Curitiba 80250-060, PR, Brazil.; Serviço de Epidemiologia e Controle de Infecção Hospitalar, Hospital Pequeno Príncipe, Curitiba 80250-060, PR, Brazil., Laureano H; Instituto de Pesquisa Pelé Pequeno Príncipe, Curitiba 80250-060, PR, Brazil., Schidlowski L; Programa de Pós-Graduação em Biotecnologia Aplicada à Saúde da Criança e do Adolescente, Faculdades Pequeno Príncipe, Curitiba 80230-020, PR, Brazil.; Instituto de Pesquisa Pelé Pequeno Príncipe, Curitiba 80250-060, PR, Brazil., Ciorcero N; Instituto de Pesquisa Pelé Pequeno Príncipe, Curitiba 80250-060, PR, Brazil.; Faculdades Pequeno Príncipe, Curitiba 80230-020, PR, Brazil., Zanatto T; Instituto de Pesquisa Pelé Pequeno Príncipe, Curitiba 80250-060, PR, Brazil.; Faculdades Pequeno Príncipe, Curitiba 80230-020, PR, Brazil., Borgmann A; Instituto de Pesquisa Pelé Pequeno Príncipe, Curitiba 80250-060, PR, Brazil.; Medical School, Faculdades Pequeno Príncipe, Curitiba 80230-020, PR, Brazil., Fragoso G; Instituto de Pesquisa Pelé Pequeno Príncipe, Curitiba 80250-060, PR, Brazil.; Medical School, Faculdades Pequeno Príncipe, Curitiba 80230-020, PR, Brazil., Giamberardino AL; Residency in Pediatrics, Hospital Pequeno Príncipe, Curitiba 80250-060, PR, Brazil., Dourado R; Laboratório Genômico, Hospital Pequeno Príncipe, Curitiba 80250-060, PR, Brazil., Anjos KD; Serviços Diagnósticos, Hospital Pequeno Príncipe, Curitiba 80250-060, PR, Brazil., João P; Unidade de Terapia Intensiva, Hospital Pequeno Príncipe, Curitiba 80250-060, PR, Brazil., Assahide M; Serviço de Infectologia Pediátrica, Hospital Pequeno Príncipe, Curitiba 80250-060, PR, Brazil., Silveira MC; Unidade de Terapia Intensiva e Pronto Atendimento, Hospital Pequeno Príncipe, Curitiba 80250-060, PR, Brazil., Costa-Junior V; Serviço de Infectologia Pediátrica, Hospital Pequeno Príncipe, Curitiba 80250-060, PR, Brazil., Giamberardino H; Serviço de Epidemiologia e Controle de Infecção Hospitalar, Hospital Pequeno Príncipe, Curitiba 80250-060, PR, Brazil.; Centro de Vacinas, Hospital Pequeno Príncipe, Curitiba 80250-060, PR, Brazil., Prando C; Programa de Pós-Graduação em Biotecnologia Aplicada à Saúde da Criança e do Adolescente, Faculdades Pequeno Príncipe, Curitiba 80230-020, PR, Brazil.; Instituto de Pesquisa Pelé Pequeno Príncipe, Curitiba 80250-060, PR, Brazil.; Serviço de Alergia e Imunologia, Hospital Pequeno Príncipe, Curitiba 80250-060, PR, Brazil. |
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Jazyk: | angličtina |
Zdroj: | Life (Basel, Switzerland) [Life (Basel)] 2024 Aug 29; Vol. 14 (9). Date of Electronic Publication: 2024 Aug 29. |
DOI: | 10.3390/life14091083 |
Abstrakt: | 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. |
Databáze: | MEDLINE |
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