Related Experiment Video
Updated: Feb 6, 2026

Implantation of Total Artificial Heart in Congenital Heart Disease
Published on: July 18, 2014
Sociodemographic Factors and Survival of Infants With Congenital Heart Defects
Nelson D Pace1,2, Matthew E Oster3,4, Nina E Forestieri2
1Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; npace@exponent.com.
Insights
First-year survival for infants with congenital heart defects (CHDs) varied by defect type and socioeconomic factors. Critical univentricular CHDs had better survival, influenced by paternal age, while biventricular CHDs showed disparities linked to maternal education and race.
Area of Science:
- Pediatric Cardiology
- Public Health
- Genetics
Background:
- Congenital heart defects (CHDs) are a significant cause of infant mortality.
- Understanding factors influencing survival is crucial for improving outcomes.
Purpose of the Study:
- To examine first-year survival rates in infants with CHDs.
- To investigate the impact of socioeconomic and demographic factors on infant survival with CHDs.
Main Methods:
- Analysis of 15,533 infants with CHDs born between 2004-2013.
- Classification of CHDs into critical univentricular, critical biventricular, and noncritical biventricular groups.
- Utilized state vital records and census data for survival and demographic analysis.
Main Results:
- Overall first-year mortality was 8.3% (1289 deaths).
- Survival for univentricular defects was 61.6%, influenced by paternal age.
- Biventricular defect survival was associated with maternal education, race, marital status, and heart center delivery, with highest mortality among non-Hispanic African American mothers.
Conclusions:
- Survival variability for CHDs differs by defect severity and sociodemographic factors.
- Highlights the need for culturally effective pediatric care for at-risk infants with CHDs.
Objectives:
To examine the first-year survival of infants with congenital heart defects (CHDs) and investigate the potential role of socioeconomic and demographic factors on survival.
Methods:
Subjects included 15 533 infants with CHDs born between 2004 and 2013 ascertained by the NC Birth Defects Monitoring Program. We classified CHDs into the following 3 groups: critical univentricular (n = 575), critical biventricular (n = 1494), and noncritical biventricular (n = 13 345). We determined vital status and age at death through linkage to state vital records and used geocoded maternal residence at birth to obtain census information for study subjects. We calculated Kaplan-Meier survival estimates by maternal and infant characteristics and derived hazard ratios from Cox proportional hazard models for selected exposures.
Results:
Among all infants with CHDs, there were 1289 deaths (8.3%) in the first year. Among infants with univentricular defects, 61.6% (95% confidence interval [CI]: 57.7%-65.7%) survived. Survival among infants with univentricular defects was considerably better for those whose fathers were ≥35 years old (71.6%; 95% CI: 63.8%-80.3%) compared with those whose fathers were younger (59.7%; 95% CI: 54.6%-65.2%). Factors associated with survival among infants with any biventricular defect included maternal education, race and/or ethnicity, marital status, and delivery at a heart center. The hazard of infant mortality was greatest among non-Hispanic African American mothers.
Conclusions:
Survival among infants with critical univentricular CHDs was less variable across sociodemographic categories compared with survival among infants with biventricular CHDs. Sociodemographic differences in survival among infants with less severe CHDs reinforces the importance of ensuring culturally effective pediatric care for at-risk infants and their families.
Related Concept Videos
Factors Influencing Heart Rate
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...
Survival Curves
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
Survival Tree
Building a Survival Tree
Constructing a...
Lumber Defects
Shakes are minor fractures that run along or across the wood's annual rings, while wane is...
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time...
Comparing the Survival Analysis of Two or More Groups

