Factors associated with dengue with warning signs among the insured population of the department of La Libertad

• Autores: ALFARO ANGULO, MARCO ANTONIO, Rivero Villegas, Mónica Rosaura, Baltodano Nontol, Luz Alicia, Sánchez Reyna, Víctor Andrés, Esteban Dionicio, Maribel Luz
• Formato: artículo
• Fecha de Publicación: 2025
• Institución: Universidad de San Martín de Porres
• Repositorio: Horizonte médico
• Lenguaje: español
• OAI Identifier: oai:horizontemedico.usmp.edu.pe:article/2608
• Enlace del recurso: https://www.horizontemedico.usmp.edu.pe/index.php/horizontemed/article/view/2608
• Nivel de acceso: acceso abierto
• Materia: Factores de riesgo; Dengue; Gravedad del paciente; Risk Factors; Patient Acuity

Objective: To identify the factors associated with dengue with warning signs among the insured population of the department of La Libertad in 2023. Materials and methods: This descriptive cross-sectional study analyzed a population comprising the entire universe of dengue patients with warning signs (n = 252). The sample consisted of 249 cases recorded from January to June 2023. The dependent variable was dengue with warning signs, while the independent variables were age (categorized by life stages), sex, history of dengue and comorbidities such as type 2 diabetes mellitus, hypertension, obesity, asthma, cancer (acute and chronic lymphoblastic leukemia, prostate cancer, breast cancer, stomach cancer, rectal cancer and non-Hodgkin’s lymphoma), chronic kidney disease and human immunodeficiency virus (HIV) infection. The bivariate analysis involved calculating absolute and relative frequencies, while the multivariate analysis employed binomial logistic regression to identify variables associated with dengue with warning signs. The research received approval by the Research and Ethics Committee of Red Asistencial La Libertad (La Libertad Healthcare Network). Results: Dengue with warning signs was slightly more prevalent among women (55.42 %). In the binomial logistic regression, the odds ratio (OR) revealed that hypertension, obesity and cancer were significantly associated with dengue with warning signs, while age, sex, history of dengue, type 2 diabetes mellitus, asthma, chronic kidney disease and HIV infection were not statistically significant factors. Conclusions: The factors associated with dengue with warning signs were comorbidities including hypertension, obesity and cancer. Factors such as age, sex, history of dengue, asthma, chronic kidney disease and HIV infection were not identified as significant contributors to this severity level of dengue.