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Clinical, laboratory, and demographic determinants of hospitalization due to dengue in 7613 patients: A retrospective study based on hierarchical models.
da Silva, Natal Santos; Undurraga, Eduardo A; da Silva Ferreira, Elis Regina; Estofolete, Cássia Fernanda; Nogueira, Maurício Lacerda.
Afiliação
  • da Silva NS; Faculdade de Medicina, União das Faculdades dos Grandes Lagos, Rua Dr. Eduardo Nielsem, 960 Jardim Novo Aeroporto, 15030-070, São José do Rio Preto, São Paulo, Brazil; Laboratório de Modelagens Matemática e Estatística em Medicina, Faculdade de Medicina, União das Faculdades dos Grandes Lagos, Rua D
  • Undurraga EA; Escuela de Gobierno, Pontificia Universidad Católica de Chile, Santiago, Región Metropolitana, Chile; Escuela de Gobierno, Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, Macul CP 7820436, Región Metropolitana, Chile. Electronic address: eundurra@uc.cl.
  • da Silva Ferreira ER; Faculdade de Medicina, União das Faculdades dos Grandes Lagos, Rua Dr. Eduardo Nielsem, 960 Jardim Novo Aeroporto, 15030-070, São José do Rio Preto, São Paulo, Brazil. Electronic address: ereginaferreira@yahoo.com.br.
  • Estofolete CF; Laboratório de Pesquisa em Virologia, Faculdade de Medicina de São José do Rio Preto, Brigadeiro Faria Lima Avenue, 5416. Vila São Pedro, 15090-000, São José do Rio Preto, SP, Brazil. Electronic address: cassiafestofolete@gmail.com.
  • Nogueira ML; Laboratório de Pesquisa em Virologia, Faculdade de Medicina de São José do Rio Preto, Brigadeiro Faria Lima Avenue, 5416. Vila São Pedro, 15090-000, São José do Rio Preto, SP, Brazil. Electronic address: mnogueira@famerp.br.
Acta Trop ; 177: 25-31, 2018 Jan.
Article em En | MEDLINE | ID: mdl-28964768
In Brazil, the incidence of hospitalization due to dengue, as an indicator of severity, has drastically increased since 1998. The objective of our study was to identify risk factors associated with subsequent hospitalization related to dengue. We analyzed 7613 dengue confirmed via serology (ELISA), non-structural protein 1, or polymerase chain reaction amplification. We used a hierarchical framework to generate a multivariate logistic regression based on a variety of risk variables. This was followed by multiple statistical analyses to assess hierarchical model accuracy, variance, goodness of fit, and whether or not this model reliably represented the population. The final model, which included age, sex, ethnicity, previous dengue infection, hemorrhagic manifestations, plasma leakage, and organ failure, showed that all measured parameters, with the exception of previous dengue, were statistically significant. The presence of organ failure was associated with the highest risk of subsequent dengue hospitalization (OR=5·75; CI=3·53-9·37). Therefore, plasma leakage and organ failure were the main indicators of hospitalization due to dengue, although other variables of minor importance should also be considered to refer dengue patients to hospital treatment, which may lead to a reduction in avoidable deaths as well as costs related to dengue.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dengue / Hospitalização Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged País/Região como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dengue / Hospitalização Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged País/Região como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2018 Tipo de documento: Article