Citas bibligráficas
Pantigozo-Rimachi, A., Murillo, G. (2020). Precisión diagnóstica de los Scores Brighton y Coast para la admisión al hospital de emergencias pediátricas en el periodo 2018 [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/654660
Pantigozo-Rimachi, A., Murillo, G. Precisión diagnóstica de los Scores Brighton y Coast para la admisión al hospital de emergencias pediátricas en el periodo 2018 [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2020. http://hdl.handle.net/10757/654660
@misc{renati/393716,
title = "Precisión diagnóstica de los Scores Brighton y Coast para la admisión al hospital de emergencias pediátricas en el periodo 2018",
author = "Murillo Díaz, Giuliana Katherine",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2020"
}
Objective: The objective of this study is to identify the characteristics of our population and the diagnostic precision of the Brighton and COAST scores to predict hospital admission to the Emergency service of a pediatric hospital. Materials and methods: A retrospective cohort study in the pediatric population from 1 month to 17 years, who attended the emergency service of Hospital de Emergencias Pediatricas from February and August of 2018 in Lima, Peru. Data were collected by the Brighton and COAST scores through a review of physical medical records, which were followed up until the time of hospital admission or discharge from the patient’s emergency service. Were calculated sensitivity, specificity, positive and negative predictive values, likelihood ratio and area under curve (AUC). Results: 822 patients were analyzed. Of these, 86 were admitted and 736 discharged. Data were collected Brighton and COAST scores with a cutoff point ≥3. The sensitivity obtained was 69,8% and 66,3% for the Brighton and COAST scores, respectively. The specificity was 87,8% and 87,6% for the Brighton and COAST scores, respectively. Thus, as an AUC of 0.82 for Brighton and 0.80 for COAST. Conclusions: A score of ≥3 has good specificity but poor sensitivity for predicting hospital admission. However, the negative predictive value of these scores is high (<90%), which is why the number of patients with a score lower than three who require hospitalization will be minimal.
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