Hipoalbuminemia como predictor de dengue grave en pacientes pediátricos hospitalizados en un hospital de Loreto durante el periodo 2022-2024
Dengue is an endemic disease with an unpredictable clinical course in children, which can rapidly progress to severe forms such as hypovolemic shock. Hypoalbuminemia, or serum albumin less than 3.5 g/dL, has been associated with greater severity of infections. Therefore, the present study aims to de...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2025 |
| País: | Perú |
| Institución: | Universidad Nacional De La Amazonía Peruana |
| Repositorio: | UNAPIquitos-Institucional |
| Idioma: | español |
| OAI Identifier: | oai:repositorio.unapiquitos.edu.pe:20.500.12737/12485 |
| Acceso en línea: | https://hdl.handle.net/20.500.12737/12485 |
| Access Level: | acceso abierto |
| Palabra clave: | Hipoalbuminemia Dengue grave Niños Pronóstico https://purl.org/pe-repo/ocde/ford#3.02.03 https://purl.org/pe-repo/ocde/ford#3.03.08 |
| Sumario: | Dengue is an endemic disease with an unpredictable clinical course in children, which can rapidly progress to severe forms such as hypovolemic shock. Hypoalbuminemia, or serum albumin less than 3.5 g/dL, has been associated with greater severity of infections. Therefore, the present study aims to determine whether hypoalbuminemia is a predictor of severe dengue in pediatric patients hospitalized in a hospital in Loreto during the period 2022-2024. This research is justified by the high burden of dengue in the Loreto region and the need to identify early markers of severity in the pediatric population. The hope is that the results will allow for the optimization of clinical surveillance and resource allocation in patients at risk of complications. Methodologically, the study will be quantitative, observational, analytical, and retrospective, using a historical cohort design. A total of 126 medical records of children aged 2 to 15 years with confirmed dengue diagnosis will be reviewed, divided into exposed (with hypoalbuminemia) and unexposed groups. Statistical tests such as Chi-square, Student’s t-test, and binary logistic regression will be used, with a significance level set at p < 0.05. |
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