An Evidence-Based Algorithm for Early Prognosis of Severe Dengue in the Outpatient Setting.

ABSTRACT:

Background

Early prediction of severe dengue could significantly assist patient triage and case management.

Methods

We prospectively investigated 7563 children with ≤3 days of fever recruited in the outpatient departments of 6 hospitals in southern Vietnam between 2010 and 2013. The primary endpoint of interest was severe dengue (2009 World Health Organization Guidelines), and predefined risk variables were collected at the time of enrollment to enable prognostic model development.

Results

The analysis population comprised 7544 patients, of whom 2060 (27.3%) had laboratory-confirmed dengue; nested among these were 117 (1.5%) severe cases. In the multivariate logistic model, a history of vomiting, lower platelet count, elevated aspartate aminotransferase (AST) level, p

SUBMITTER: Nguyen MT 

PROVIDER: S-EPMC5850639 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature