Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 2 de 2
Filtrar
Mais filtros











Intervalo de ano de publicação
1.
Crit Care Sci ; 36: e20240068en, 2024.
Artigo em Inglês, Português | MEDLINE | ID: mdl-39046060

RESUMO

OBJECTIVE: To identify factors associated with hospitalization in the intensive care unit in children and adolescents with COVID-19. METHODS: This was a retrospective cohort study using secondary data of hospitalized children and adolescents (zero to 18 years old) with COVID-19 reported in Paraíba from April 2020 to July 2021, totaling 486 records. Descriptive analysis, logistic regression and multilevel regression were performed, utilizing a significance level of 5%. RESULTS: According to logistic regression without hierarchical levels, there was an increased chance of admission to the intensive care unit for male patients (OR = 1.98; 95%CI 1.18 - 3.32), patients with respiratory distress (OR = 2.43; 95%CI 1.29 - 4.56), patients with dyspnea (OR = 3.57; 95%CI 1.77 - 7.18) and patients living in large cities (OR = 2.70; 95%CI 1.07 - 6.77). The likelihood of requiring intensive care was observed to decrease with increasing age (OR = 0.94; 95%CI = 0.90 - 0.97), the presence of cough (OR = 0.32; 95%CI 0.18 - 0.59) or fever (OR = 0.42; 95%CI 0.23 - 0.74) and increasing Gini index (OR = 0.003; 95%CI 0.000 - 0.243). According to the multilevel analysis, the odds of admission to the intensive care unit increased in male patients (OR = 1.70; 95%CI = 1.68-1.71) and with increasing population size of the municipality per 100,000 inhabitants (OR = 1.01; 95%CI 1.01-1.03); additionally, the odds of admission to the intensive care unit decreased for mixed-race versus non-brown-skinned patients (OR = 0.981; 95%CI 0.97 - 0.99) and increasing Gini index (OR = 0.02; 95%CI 0.02 - 0.02). CONCLUSION: The effects of patient characteristics and social context on the need for intensive care in children and adolescents with SARS-CoV-2 infection were better estimated with the inclusion of a multilevel regression model.


Assuntos
COVID-19 , Unidades de Terapia Intensiva , Humanos , COVID-19/epidemiologia , Adolescente , Masculino , Criança , Estudos Retrospectivos , Feminino , Unidades de Terapia Intensiva/estatística & dados numéricos , Pré-Escolar , Lactente , Análise Multinível , Recém-Nascido , Hospitalização/estatística & dados numéricos , SARS-CoV-2 , Fatores de Risco , Fatores Etários , Modelos Logísticos , Fatores Sexuais
2.
Crit. Care Sci ; 36: e20240068en, 2024. tab, graf
Artigo em Inglês | LILACS-Express | LILACS | ID: biblio-1564431

RESUMO

ABSTRACT Objective To identify factors associated with hospitalization in the intensive care unit in children and adolescents with COVID-19. Methods This was a retrospective cohort study using secondary data of hospitalized children and adolescents (zero to 18 years old) with COVID-19 reported in Paraíba from April 2020 to July 2021, totaling 486 records. Descriptive analysis, logistic regression and multilevel regression were performed, utilizing a significance level of 5%. Results According to logistic regression without hierarchical levels, there was an increased chance of admission to the intensive care unit for male patients (OR = 1.98; 95%CI 1.18 - 3.32), patients with respiratory distress (OR = 2.43; 95%CI 1.29 - 4.56), patients with dyspnea (OR = 3.57; 95%CI 1.77 - 7.18) and patients living in large cities (OR = 2.70; 95%CI 1.07 - 6.77). The likelihood of requiring intensive care was observed to decrease with increasing age (OR = 0.94; 95%CI = 0.90 - 0.97), the presence of cough (OR = 0.32; 95%CI 0.18 - 0.59) or fever (OR = 0.42; 95%CI 0.23 - 0.74) and increasing Gini index (OR = 0.003; 95%CI 0.000 - 0.243). According to the multilevel analysis, the odds of admission to the intensive care unit increased in male patients (OR = 1.70; 95%CI = 1.68-1.71) and with increasing population size of the municipality per 100,000 inhabitants (OR = 1.01; 95%CI 1.01-1.03); additionally, the odds of admission to the intensive care unit decreased for mixed-race versus non-brown-skinned patients (OR = 0.981; 95%CI 0.97 - 0.99) and increasing Gini index (OR = 0.02; 95%CI 0.02 - 0.02). Conclusion The effects of patient characteristics and social context on the need for intensive care in children and adolescents with SARS-CoV-2 infection were better estimated with the inclusion of a multilevel regression model.


RESUMO Objetivo Identificar fatores associados ao internamento na unidade de terapia intensiva de crianças e adolescentes com COVID-19. Método Estudo de coorte retrospectiva, com dados secundários, de crianças e adolescentes hospitalizados (zero a 18 anos), notificados com COVID-19 na Paraíba, de abril de 2020 a julho de 2021, totalizando 486 registros. Foram realizadas análise descritiva, regressão logística e regressão multinível, considerando o nível de significância de 5%. Resultados Na regressão logística sem níveis hierárquicos, ocorreu aumento da chance de internamento na unidade de terapia intensiva em pacientes do sexo masculino (RC = 1,98; IC95% 1,18 - 3,32), com desconforto respiratório (RC = 2,43; IC95% 1,29 - 4,56), dispneia (RC = 3,57; IC95% 1,77 - 7,18) e residentes em cidades com grande porte populacional (RC = 2,70; IC95% 1,07 - 6,77). Foi observada diminuição da chance de cuidados intensivos com aumento da idade em anos (RC = 0,94; IC95%=0,90 - 0,97), presença de tosse (RC = 0,32; IC95% 0,18 - 0,59), febre (RC = 0,42; IC95% 0,23 - 0,74) e aumento no Índice de Gini (RC = 0,003; IC95% 0,000 - 0,243). Na análise multinível, a chance de internamento na unidade de terapia intensiva aumentou no sexo masculino (RC = 1,70; IC95%=1,68-1,71) e por conta do aumento no porte populacional do município a cada 100 mil habitantes (RC = 1,01; IC95% 1,01 - 1,03); a chance de internamento na unidade de terapia intensiva diminuiu em pacientes pardos versus não pardos (RC = 0,981; IC95% 0,97 - 0,99) e por conta do aumento a cada pontuação do Índice de Gini (RC = 0,02; IC95% 0,02 - 0,02). Conclusão Os efeitos das condições próprias do paciente e do contexto social na necessidade de cuidados intensivos em crianças e adolescentes com infecção pelo SARS-CoV-2 são mais bem estimados com a inclusão de um modelo de regressão multinível nas análises.

SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA