Development and validation of a clinical predictive model for severe and critical pediatric COVID-19 infection.

ABSTRACT:

Introduction

Children infected with COVID-19 are susceptible to severe manifestations. We aimed to develop and validate a predictive model for severe/ critical pediatric COVID-19 infection utilizing routinely available hospital level data to ascertain the likelihood of developing severe manifestations.

Methods

The predictive model was based on an analysis of registry data from COVID-19 positive patients admitted to five tertiary pediatric hospitals across Asia [Singapore, Malaysia, Indonesia (two centers) and Pakistan]. Independent predictors of severe/critical COVID-19 infection were determined using multivariable logistic regression. A training cohort (n = 802, 70%) was used to develop the prediction model which was then validated in a test cohort (n = 345, 30%). The discr

SUBMITTER: Wong JJM 

PROVIDER: S-EPMC9612577 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature