Related Experiment Video
Updated: Feb 13, 2026

Non-Invasive Model of Neuropathogenic Escherichia coli Infection in the Neonatal Rat
Published on: October 29, 2014
Invasive Fungal Infections in Neonates in Canada: Epidemiology and Outcomes
Joseph Y Ting1, Ashley Roberts1, Anne Synnes1
1From the Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada.
Background:
Neonatal fungemia is associated with adverse neonatal outcomes and higher overall healthcare expenditure. Our objective is to review the epidemiology of invasive fungal infections (IFIs) in neonates in Canada.
Methods:
A retrospective cohort study using data collected by the Canadian Neonatal Network (CNN) was conducted. Using a nested matched cohort study design, risk factors and outcomes of neonates born <33 weeks gestation (n = 39,305) during 2003-2013 were compared between neonates diagnosed with an IFI during their stay to infection-free controls.
Results:
Overall incidence of IFI among all admitted neonates was 0.22% (n = 286), while the incidence of IFI in the group of neonates born <33 weeks gestation was 0.64%. Of the isolates, 170 (59%) had Candida albicans and 59 (21%) had Candida parapsilosis. Risk factors for IFI were lower gestation, male sex, Apgar score <7 at 5 minutes, higher severity of illness score, maternal diabetes and vaginal birth. Neonates with IFI had higher odds of mortality [adjusted odds ratio (aOR): 1.60; 95% confidence interval (CI): 1.06-2.43], necrotizing enterocolitis (aOR: 2.97; 95% CI: 1.76-5.01) and severe retinopathy of prematurity (aOR: 2.15; 95% CI: 1.26-3.67).
Conclusions:
The overall incidence of IFI in neonates was low in Canada in comparison to other large population cohort studies; however, the mortality and morbidity remained high.
Related Concept Videos
Introduction to Epidemiology
Causality in Epidemiology
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Confounding in Epidemiological Studies
Bias in Epidemiological Studies
Predicting Reaction Outcomes

