Clinical spectrum and predictors of mortality in critically ill pediatric patients: a retrospective study in a referral pediatric intensive care unit in Peru
Descripción del Articulo
Introduction: Pediatric intensive care units (PICUs) are essential services in the management and treatment of critically ill children; however, mortality rates remain very high in these services in low- and middle-income countries. Objective: To describe the clinical characteristics of patients adm...
| Autores: | , , , |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2026 |
| Institución: | Cuerpo Médico Hospital Nacional Almanzor Aguinaga Asenjo |
| Repositorio: | Revista del Cuerpo Médico Hospital Nacional Almanzor Aguinaga Asenjo |
| Lenguaje: | español |
| OAI Identifier: | oai:cmhnaaa.org.pe:article/2951 |
| Enlace del recurso: | https://cmhnaaa.org.pe/index.php/rcmhnaaa/article/view/2951 |
| Nivel de acceso: | acceso abierto |
| Materia: | Mortalidad UCIP ventilación mecánica infecciones nosocomiales Perú Mortality PICU mechanical ventilation nosocomial infections Peru |
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Revista del Cuerpo Médico Hospital Nacional Almanzor Aguinaga Asenjo |
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Clinical spectrum and predictors of mortality in critically ill pediatric patients: a retrospective study in a referral pediatric intensive care unit in Peru Espectro clínico y predictores de mortalidad en pacientes pediátricos críticamente enfermos: estudio retrospectivo en una unidad de cuidados intensivos pediátricos de referencia en Perú |
| title |
Clinical spectrum and predictors of mortality in critically ill pediatric patients: a retrospective study in a referral pediatric intensive care unit in Peru |
| spellingShingle |
Clinical spectrum and predictors of mortality in critically ill pediatric patients: a retrospective study in a referral pediatric intensive care unit in Peru Domínguez-Rojas, Jesús Mortalidad UCIP ventilación mecánica infecciones nosocomiales Perú Mortality PICU mechanical ventilation nosocomial infections Peru |
| title_short |
Clinical spectrum and predictors of mortality in critically ill pediatric patients: a retrospective study in a referral pediatric intensive care unit in Peru |
| title_full |
Clinical spectrum and predictors of mortality in critically ill pediatric patients: a retrospective study in a referral pediatric intensive care unit in Peru |
| title_fullStr |
Clinical spectrum and predictors of mortality in critically ill pediatric patients: a retrospective study in a referral pediatric intensive care unit in Peru |
| title_full_unstemmed |
Clinical spectrum and predictors of mortality in critically ill pediatric patients: a retrospective study in a referral pediatric intensive care unit in Peru |
| title_sort |
Clinical spectrum and predictors of mortality in critically ill pediatric patients: a retrospective study in a referral pediatric intensive care unit in Peru |
| dc.creator.none.fl_str_mv |
Domínguez-Rojas, Jesús Hernandez, Madeleine Jara Galvez, Alan Cabrera , Lizbeth Domínguez-Rojas, Jesús Hernandez, Madeleine Jara Galvez, Alan Cabrera , Lizbeth |
| author |
Domínguez-Rojas, Jesús |
| author_facet |
Domínguez-Rojas, Jesús Hernandez, Madeleine Jara Galvez, Alan Cabrera , Lizbeth Hernandez, Madeleine |
| author_role |
author |
| author2 |
Hernandez, Madeleine Jara Galvez, Alan Cabrera , Lizbeth Hernandez, Madeleine |
| author2_role |
author author author author |
| dc.subject.none.fl_str_mv |
Mortalidad UCIP ventilación mecánica infecciones nosocomiales Perú Mortality PICU mechanical ventilation nosocomial infections Peru |
| topic |
Mortalidad UCIP ventilación mecánica infecciones nosocomiales Perú Mortality PICU mechanical ventilation nosocomial infections Peru |
| description |
Introduction: Pediatric intensive care units (PICUs) are essential services in the management and treatment of critically ill children; however, mortality rates remain very high in these services in low- and middle-income countries. Objective: To describe the clinical characteristics of patients admitted to the PICU of a referral hospital in Peru and to determine the factors related to mortality. Methods: A retrospective observational study with time-to-event analysis was conducted in the PICU of a tertiary hospital, including patients aged 0 to 17 years who were admitted between July 2022 and July 2023. Patients who stayed in the PICU for less than 24 hours and those with missing information were excluded. Various sociodemographic and clinical variables were analyzed. A bivariate analysis (chi-square, Student's t-test) and multivariate logistic regression were performed to determine predictors of mortality, and a Kaplan-Meier survival analysis was performed. Results: A total of 503 patients were included (53.1% male; median age 28 months). The main causes of admission were postoperative status (32.8%) and acute respiratory failure (25.2%). Invasive mechanical ventilation was required in 76.5% of patients. The mortality rate was 9.94%. In the multivariate regression analysis, mechanical ventilation (ORaj: 2.41; 95% CI: 1.01–5.77; p=0.047) and healthcare-associated infections (HCAIs) (ORaj: 3.16; 95% CI: 1.28–7.81; p=0.012) were identified as independent predictors of mortality. Survival analysis showed that most deaths occurred between days 7 and 10. Conclusion: Invasive mechanical ventilation and HAIs were independent predictors of mortality in this PICU. Early detection of high severity and strict control of nosocomial infections are recommended. |
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2026 |
| dc.date.none.fl_str_mv |
2026-04-23 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Perfil epidemiologico |
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article |
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https://cmhnaaa.org.pe/index.php/rcmhnaaa/article/view/2951 10.35434/rcmhnaaa.2026.191.2951 |
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https://cmhnaaa.org.pe/index.php/rcmhnaaa/article/view/2951 |
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10.35434/rcmhnaaa.2026.191.2951 |
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https://cmhnaaa.org.pe/index.php/rcmhnaaa/article/view/2951/1167 |
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https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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Cuerpo Médico del Hospital Nacional Almanzor Aguinaga Asenjo |
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Cuerpo Médico del Hospital Nacional Almanzor Aguinaga Asenjo |
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Revista del Cuerpo Médico Hospital Nacional Almanzor Aguinaga Asenjo; Vol. 19 No. 1 (2026): Early Publication; e2951 Revista del Cuerpo Médico Hospital Nacional Almanzor Aguinaga Asenjo; Vol. 19 Núm. 1 (2026): Publicación Anticipada; e2951 2227-4731 2225-5109 10.35434/rcmhnaaa.2026.191 reponame:Revista del Cuerpo Médico Hospital Nacional Almanzor Aguinaga Asenjo instname:Cuerpo Médico Hospital Nacional Almanzor Aguinaga Asenjo instacron:HNAAA |
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HNAAA |
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Revista del Cuerpo Médico Hospital Nacional Almanzor Aguinaga Asenjo |
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Revista del Cuerpo Médico Hospital Nacional Almanzor Aguinaga Asenjo |
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Clinical spectrum and predictors of mortality in critically ill pediatric patients: a retrospective study in a referral pediatric intensive care unit in PeruEspectro clínico y predictores de mortalidad en pacientes pediátricos críticamente enfermos: estudio retrospectivo en una unidad de cuidados intensivos pediátricos de referencia en PerúDomínguez-Rojas, JesúsHernandez, Madeleine Jara Galvez, Alan Cabrera , LizbethDomínguez-Rojas, JesúsHernandez, MadeleineJara Galvez, Alan Cabrera , LizbethMortalidadUCIPventilación mecánicainfecciones nosocomialesPerúMortalityPICUmechanical ventilationnosocomial infectionsPeru Introduction: Pediatric intensive care units (PICUs) are essential services in the management and treatment of critically ill children; however, mortality rates remain very high in these services in low- and middle-income countries. Objective: To describe the clinical characteristics of patients admitted to the PICU of a referral hospital in Peru and to determine the factors related to mortality. Methods: A retrospective observational study with time-to-event analysis was conducted in the PICU of a tertiary hospital, including patients aged 0 to 17 years who were admitted between July 2022 and July 2023. Patients who stayed in the PICU for less than 24 hours and those with missing information were excluded. Various sociodemographic and clinical variables were analyzed. A bivariate analysis (chi-square, Student's t-test) and multivariate logistic regression were performed to determine predictors of mortality, and a Kaplan-Meier survival analysis was performed. Results: A total of 503 patients were included (53.1% male; median age 28 months). The main causes of admission were postoperative status (32.8%) and acute respiratory failure (25.2%). Invasive mechanical ventilation was required in 76.5% of patients. The mortality rate was 9.94%. In the multivariate regression analysis, mechanical ventilation (ORaj: 2.41; 95% CI: 1.01–5.77; p=0.047) and healthcare-associated infections (HCAIs) (ORaj: 3.16; 95% CI: 1.28–7.81; p=0.012) were identified as independent predictors of mortality. Survival analysis showed that most deaths occurred between days 7 and 10. Conclusion: Invasive mechanical ventilation and HAIs were independent predictors of mortality in this PICU. Early detection of high severity and strict control of nosocomial infections are recommended.Resumen Introducción: Las Unidades de Cuidados Intensivos Pediátricos (UCIP) son servicios esenciales en el manejo y tratamiento de los niños con enfermedad crítica, no obstante, la mortalidad es todavía muy elevada en estos servicios en los países de ingresos bajos y medios [1-3]. Objetivo: Describir las características clínicas de los pacientes que ingresan a la UCIP de un hospital de referencia en Perú y determinar los factores relacionados con la mortalidad. Métodos: Se realizó un estudio observacional retrospectivo en la UCIP de un hospital de nivel terciario, y se incluyeron pacientes entre 0 y 17 años que ingresaron entre julio de 2022 y julio de 2023. Se excluyeron a los pacientes que presentaron una estancia en la UCIP menor a 24 horas y aquellos a quienes les faltaba información. Se analizaron diversas variables sociodemográficas y clínicas. Se realizó un análisis bivariado (chi cuadrado, t de Student) y una regresión logística multivariada para determinar los predictores de la mortalidad y se realizó un análisis de supervivencia Kaplan-Meier. Resultados: Se incluyeron un total de 503 pacientes (53.1% varones; edad mediana de 28 meses). Las causas de ingreso fueron principalmente por estado postoperatorio (32.8%) y falla respiratoria aguda (25.2%). Un 76.5% de los pacientes requirió ventilación mecánica invasiva. La tasa de mortalidad fue del 9.94%. En el análisis de regresión multivariada, se identificaron la ventilación mecánica (ORaj: 2.41; IC 95%: 1.01-5.77; p=0.047) y las infecciones asociadas a la atención en salud (IAAS) (ORaj: 3.16; IC 95%: 1.28-7.81; p=0.012) como predictores independientes de mortalidad. El análisis de supervivencia mostró que la mayoría de los fallecimientos se produjeron entre los días 7 y 10. Conclusión: La ventilación mecánica invasiva y las IAAS fueron predictores independientes de mortalidad en dicha UCIP. Se sugiere detección temprana de alta gravedad y control estricto de infecciones nosocomiales.Cuerpo Médico del Hospital Nacional Almanzor Aguinaga Asenjo2026-04-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPerfil epidemiologicoapplication/pdfhttps://cmhnaaa.org.pe/index.php/rcmhnaaa/article/view/295110.35434/rcmhnaaa.2026.191.2951Revista del Cuerpo Médico Hospital Nacional Almanzor Aguinaga Asenjo; Vol. 19 No. 1 (2026): Early Publication; e2951Revista del Cuerpo Médico Hospital Nacional Almanzor Aguinaga Asenjo; Vol. 19 Núm. 1 (2026): Publicación Anticipada; e29512227-47312225-510910.35434/rcmhnaaa.2026.191reponame:Revista del Cuerpo Médico Hospital Nacional Almanzor Aguinaga Asenjoinstname:Cuerpo Médico Hospital Nacional Almanzor Aguinaga Asenjoinstacron:HNAAAspahttps://cmhnaaa.org.pe/index.php/rcmhnaaa/article/view/2951/1167Derechos de autor 2026 Jesús Domínguez-Rojas, Madeleine Hernandez, Alan Jara Galvez, Lizbeth Cabrera https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:cmhnaaa.org.pe:article/29512026-04-24T04:11:55Z |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).