Data Studio

CCSR Rm 4205

DATE: December 6, 2017
TIME: 1:30 - 3:00 pm
TITLE: Prediction of NICU deaths at Gondar (Ethiopia) Hospital
INVESTIGATOR:
Rishi Mediratta, Resident Physician, Pediatrics

 

Summary:

2.6 million neonates died globally in 2016 with most deaths occurring in low resource settings. Despite the introduction of neonatal intensive care units (NICU) in developing countries, newborn deaths remain high. Early warning scores have proven effective in identifying patients at risk of dying. However, such scores have not been developed or implemented for newborns in low resource settings. A retrospective case-control study was conducted using 2016 chart data at a university hospital in Gondar, Ethiopia. Cases were defined as newborns who died in the NICU, and controls were defined as newborns who survived the NICU. Univariate logistic regression was used to investigate the relationship between NICU mortality and maternal history, birth history, and clinical characteristics, including respiratory distress, altered mental status, gestational age, and birthweight. The investigators aim to develop a score that will be used by nurses and physicians in Ethiopia to identify newborns in the NICU who need additional treatment and observation. The investigators are seeking assistance to design a neonatal early warning score algorithm to predict neonatal mortality.

Background readings:

Christopher S Parshuram, James Hutchison and Kristen Middaugh. Development and initial validation of the Bedside Paediatric Early Warning System score. Critical Care 2009; 13:R135.

Harriet Holme et al. Retrospective Evaluation of a New Neonatal Trigger Score.  Pediatrics 2013; 131:e837-e842.