Clinical predictors for etiology of acute diarrhea in children in resource-limited settings.

ABSTRACT:

Background

Diarrhea is one of the leading causes of childhood morbidity and mortality in lower- and middle-income countries. In such settings, access to laboratory diagnostics are often limited, and decisions for use of antimicrobials often empiric. Clinical predictors are a potential non-laboratory method to more accurately assess diarrheal etiology, the knowledge of which could improve management of pediatric diarrhea.

Methods

We used clinical and quantitative molecular etiologic data from the Global Enteric Multicenter Study (GEMS), a prospective, case-control study, to develop predictive models for the etiology of diarrhea. Using random forests, we screened the available variables and then assessed the performance of predictions from random forest regression models and l

SUBMITTER: Brintz BJ 

PROVIDER: S-EPMC7588112 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature