278. Developing a Logistic Regression Model to Aid Clinicians Evaluate Outpatients and Predict Odds of Hospital Transfer in a Nicaraguan Pediatric Population: Comparison of Epidemiological Models to Predict Hospitalization with a Focus on Antimicrobial Stewardship.

BACKGROUND: Upper Respiratory Infections (URI) represent a significant disease burden to children worldwide. Clinicians must rely on clinical acumen and evidence-based medicine to responsibly prescribe antimicrobials to curb the rise of antimicrobial-resistant pathogens. We propose a model to help c...

Descripción completa

Detalles Bibliográficos
Autores principales: Vahia, Amit, Kuan, Guillermina, Ojeda, Sergio, Sanchez, Luis Nery, Balmaseda, Angel, Harris, Eva, Gordon, Aubree
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Abstracts
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6253262/
http://dx.doi.org/10.1093/ofid/ofy210.289

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6253262/
http://dx.doi.org/10.1093/ofid/ofy210.289

Ejemplares similares