Predicting mortality among hospitalized children with respiratory illness in Western Kenya, 2009-2012.

ABSTRACT:

Background

Pediatric respiratory disease is a major cause of morbidity and mortality in the developing world. We evaluated a modified respiratory index of severity in children (mRISC) scoring system as a standard tool to identify children at greater risk of death from respiratory illness in Kenya.

Materials and methods

We analyzed data from children <5 years old who were hospitalized with respiratory illness at Siaya District Hospital from 2009-2012. We used a multivariable logistic regression model to identify patient characteristics predictive for in-hospital mortality. Model discrimination was evaluated using the concordance statistic. Using bootstrap samples, we re-estimated the coefficients and the optimism of the model. The mRISC score for each child was developed by a

SUBMITTER: Emukule GO 

PROVIDER: S-EPMC3965502 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature