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Development and Validation of a Bedside Dengue Severity Score for Predicting Severe Dengue in Children
Indian Pediatr ; 2023 May; 60(5): 359-363
Artigo | IMSEAR | ID: sea-225412
ABSTRACT

Objective:

To develop and validate a bedside dengue severity score in children less than 12 years for predicting severe dengue disease.

Methods:

We carried out an analysis of data on the clinical and laboratory parameters of patients with confirmed dengue, hospitalized in October, 2019 at our center. A comprehensive patient’s score was developed. Predictive models for severity were built using a forward step-wise method. This model was validated on the data of 312 children with dengue admitted during September- October, 2021.

Results:

Severe dengue was predicted by the dengue severity score with a sensitivity of 86.75% (95% CI 77.52%-93.19%), specificity of 98.25% (95% CI 95.56-99.52%), a positive predictive value of 95.34% (95% CI 92.18%-97.26%) and a negative predictive value of 94.74% (95% CI 87.16%-97.95%). The overall predictive accuracy was 95.2% (95% CI 92.19%- 97.28%).

Conclusion:

The proposed bedside dengue severity scoring system was found to have good validity. Validating the score in different settings and patient populations is suggested.

Texto completo: DisponíveL Índice: IMSEAR (Sudeste Asiático) Revista: Indian Pediatr Ano de publicação: 2023 Tipo de documento: Artigo

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Texto completo: DisponíveL Índice: IMSEAR (Sudeste Asiático) Revista: Indian Pediatr Ano de publicação: 2023 Tipo de documento: Artigo