Predicting the future for neonates with symptomatic congenital heart disease

OBJECTIVE: Determine prenatal and neonatal factors that predict infantile outcomes in patients with congenital heart disease (CHD). STUDY DESIGN: Retrospective cohort of 415 neonates with CHD admitted to a neonatal intensive care unit (NICU). Statistical tests included Chi-square, Fisher's Exact, Kruskal-Wallis, and multivariable logistic regression. RESULTS: Cardiac lesion type was associated with mortality, length of stay, and enteral feeding tube support at discharge (EFTD) (p ≤ 0.01). A genetic diagnosis and an extra-cardiac congenital anomaly were associated with higher odds of respiratory support needs at discharge (RSND) [OR 2.8 (95% CI: 1.2, 6.5); 4.8 (1.9, 11.8)] and EFTD [5.5 (2.9, 10.8); 3.4 (2.4-9.7)]. Lower birth weight was associated with higher odds of RSND [0.5 (0.38, 0.66)], and lower gestational age with higher odds of EFTD [0.84 (0.75, 0.95)]. CONCLUSION: Several factors predicted adverse outcomes in infants with CHD, helping to identify high-risk cases for targeted care and improved parental guidance.

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Publication Details

Journal
Journal of Perinatology
Published
2026-04-13
DOI
https://doi.org/10.1038/s41372-026-02653-6
Primary Topic
Congenital Heart Disease Studies
Type
article
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article

Predicting the future for neonates with symptomatic congenital heart disease

Benjamin M. Helm, Gabrielle C. Geddes, Mahati Pidaparti, Paulomi Chaudhry et al.
Journal of Perinatology
Congenital Heart Disease Studies
article

Predicting the future for neonates with symptomatic congenital heart disease

Benjamin M. Helm, Gabrielle C. Geddes, Mahati Pidaparti, Paulomi Chaudhry, Kristen Suhrie, Melinda H. Markham, Poonam Puranik, Britney Reed
article en

Abstract

OBJECTIVE: Determine prenatal and neonatal factors that predict infantile outcomes in patients with congenital heart disease (CHD). STUDY DESIGN: Retrospective cohort of 415 neonates with CHD admitted to a neonatal intensive care unit (NICU). Statistical tests included Chi-square, Fisher's Exact, Kruskal-Wallis, and multivariable logistic regression. RESULTS: Cardiac lesion type was associated with mortality, length of stay, and enteral feeding tube support at discharge (EFTD) (p ≤ 0.01). A genetic diagnosis and an extra-cardiac congenital anomaly were associated with higher odds of respiratory support needs at discharge (RSND) [OR 2.8 (95% CI: 1.2, 6.5); 4.8 (1.9, 11.8)] and EFTD [5.5 (2.9, 10.8); 3.4 (2.4-9.7)]. Lower birth weight was associated with higher odds of RSND [0.5 (0.38, 0.66)], and lower gestational age with higher odds of EFTD [0.84 (0.75, 0.95)]. CONCLUSION: Several factors predicted adverse outcomes in infants with CHD, helping to identify high-risk cases for targeted care and improved parental guidance.

Journal of Perinatology
Indiana University School of Medicine, Indiana University – Purdue University Indianapolis (US)
Good health and well-being
Openalex Percentile: Top 17%
Congenital Heart Disease Studies
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