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Dataset Information

Development and Validation of a Mortality Prediction Model in Extremely Low Gestational Age Neonates.


ABSTRACT:

Introduction

Understanding factors that associate with neonatal death may lead to strategies or interventions that can aid clinicians and inform families.

Objective

The aim of the study was to develop an early prediction model of neonatal death in extremely low gestational age (ELGA, <28 weeks) neonates.

Methods

A predictive cohort study of ELGA neonates was derived from the Swedish Neonatal Quality Register between the years 2011 to May 2021. The goal was to use readily available clinical variables, collected within the first hour of birth, to predict in-hospital death. Data were split into a train cohort (80%) to build the model and tested in 20% of randomly selected neonates. Model performance was assessed via area under the receiver operating characteristic curve

SUBMITTER: Moreira A 

PROVIDER: S-EPMC9296601 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature