Algoritmo de tratamiento de la dermatitis atópica en Perú. Consenso de expertos
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Palabras clave

Dermatitis atópica
Consenso de expertos
Tratamiento
Seguimiento

Cómo citar

Butron, P., Galvan, C., Ballona, R., Castro Vargas, E. G., Bravo Puccio, F., Gerada Solari, J. E., Larco Sousa, J. I., Matos, E., & Torres Iberico, R. (2023). Algoritmo de tratamiento de la dermatitis atópica en Perú. Consenso de expertos. Revista Alergia México, 70(3), 167–186. https://doi.org/10.29262/ram.v70i3.1228

Plaudit

Recibido 2023-02-08
Aceptado 2023-03-08
Publicado 2023-08-21

Datos de los fondos

Resumen

Introducción: La dermatitis atópica es una enfermedad crónica, sistémica, reincidente, con manifestaciones dermatológicas, que impone una alta carga a los pacientes, las familias y los sistemas de salud, y tiene repercusión psicológica, social y económica, y en la calidad de vida de los pacientes. Afecta principalmente a la población pediátrica y con menor frecuencia a la adulta. Las manifestaciones clínicas varían según la edad y evolución de la enfermedad, y en la actualidad se dispone de múltiples opciones farmacológicas y no farmacológicas para el tratamiento de los pacientes.

Objetivo: Presentar un algoritmo de tratamiento de la dermatitis atópica, propuesto con una serie de recomendaciones acerca del diagnóstico, tratamiento y seguimiento de los pacientes.

Métodos: Se llevó a cabo un consenso de expertos, utilizando la técnica del grupo nominal. La metodología se desarrolló en 7 fases que incluyeron: planteamiento de las preguntas de investigación, búsqueda de la bibliografía, propuesta inicial de las recomendaciones, elaboración de las recomendaciones finales y del algoritmo de tratamiento con tres ciclos de votación. Se estableció el consenso con un 80% de favorabilidad.

Resultados y conclusiones: El resultado del consenso fue un algoritmo de tratamiento de pacientes con dermatitis atópica leve, moderada-grave, derivado de las recomendaciones de expertos. En el algoritmo se establecen criterios diagnósticos y de tratamiento, y se aportan recomendaciones actualizadas que incluyen las alternativas disponibles en Perú.

https://doi.org/10.29262/ram.v70i3.1228
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