Abstract 4135745: Prematurity Predicts Neurodevelopmental Outcomes in Congenital Heart Disease

Background: Neurodevelopmental (ND) impairment is common in both prematurity and congenital heart disease (CHD). Preterm infants with CHD may have a “double hit,” with worse ND impairments than seen in prematurity or CHD alone. We analyzed whether gestational age (GA) at delivery predicted ND outcomes in children with CHD. Methods: We performed a single-institution retrospective study of children who underwent infant heart surgery from 2007-2020 and returned for ND evaluation after discharge. Exclusion criteria were 1) trisomy 21 and 2) PDA ligation alone. The Bayley Scales of Infant and Toddler Development, Third Edition (Bayley-III) assessed ND between ages 6-40 months. Patients were stratified into 4 GA groups: very/moderately preterm (≤33 weeks), late-preterm (34-36 weeks), early-term (37-38 weeks) or term/post-term (≥39 weeks). Hierarchical linear regression evaluated potential predictors of Bayley-III composite scores including GA category, demographic, medical, and surgical variables. Results: Among 1350 infants, 513 (38%) had a Bayley-III at median age 28 months [IQR 19, 34]. Of these, 448 (87%) were full-term and 65 (13%) preterm. In univariate analyses, children born preterm vs. full term had lower Bayley-III cognitive, language, and motor scores, explaining from 2.4% (language) to 6.2% (motor) of the variance in Bayley composite scores. In the final models, GA remained a strong independent predictor of motor and cognitive scores. Children with GA ≤33 weeks had the worst outcomes, with age-adjusted cognitive and motor composite scores 11 and 15 points lower, respectively, than those of term infants (Figure). Other significant risk factors included lower primary caregiver education, Black race, longer hospital length of stay, and genetic diagnosis. These models ultimately explained 17-26% of the variance in Bayley scores, with the highest explained variance in the motor domain. Conclusions: Adjusting for other patient and medical factors, preterm infants with CHD have worse cognitive and motor outcomes; risk is highest in those born at ≤33 weeks. Further work is needed to identify potentially modifiable factors to tailor prenatal, postnatal and perioperative care of infants with CHD born prematurely.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4135745
Primary Topic
Congenital Heart Disease Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4135745: Prematurity Predicts Neurodevelopmental Outcomes in Congenital Heart Disease

Anjali Sadhwani, Aditya K. Kaza, Philip Thaler Levy, Samantha Butler et al.
Circulation
Congenital Heart Disease Studies
article

Abstract 4135745: Prematurity Predicts Neurodevelopmental Outcomes in Congenital Heart Disease

Anjali Sadhwani, Aditya K. Kaza, Philip Thaler Levy, Samantha Butler, Jane W. Newburger, Jenna A. Katz, Kimberlee Gauvreau, Meena Nathan
article en

Abstract

Background: Neurodevelopmental (ND) impairment is common in both prematurity and congenital heart disease (CHD). Preterm infants with CHD may have a “double hit,” with worse ND impairments than seen in prematurity or CHD alone. We analyzed whether gestational age (GA) at delivery predicted ND outcomes in children with CHD. Methods: We performed a single-institution retrospective study of children who underwent infant heart surgery from 2007-2020 and returned for ND evaluation after discharge. Exclusion criteria were 1) trisomy 21 and 2) PDA ligation alone. The Bayley Scales of Infant and Toddler Development, Third Edition (Bayley-III) assessed ND between ages 6-40 months. Patients were stratified into 4 GA groups: very/moderately preterm (≤33 weeks), late-preterm (34-36 weeks), early-term (37-38 weeks) or term/post-term (≥39 weeks). Hierarchical linear regression evaluated potential predictors of Bayley-III composite scores including GA category, demographic, medical, and surgical variables. Results: Among 1350 infants, 513 (38%) had a Bayley-III at median age 28 months [IQR 19, 34]. Of these, 448 (87%) were full-term and 65 (13%) preterm. In univariate analyses, children born preterm vs. full term had lower Bayley-III cognitive, language, and motor scores, explaining from 2.4% (language) to 6.2% (motor) of the variance in Bayley composite scores. In the final models, GA remained a strong independent predictor of motor and cognitive scores. Children with GA ≤33 weeks had the worst outcomes, with age-adjusted cognitive and motor composite scores 11 and 15 points lower, respectively, than those of term infants (Figure). Other significant risk factors included lower primary caregiver education, Black race, longer hospital length of stay, and genetic diagnosis. These models ultimately explained 17-26% of the variance in Bayley scores, with the highest explained variance in the motor domain. Conclusions: Adjusting for other patient and medical factors, preterm infants with CHD have worse cognitive and motor outcomes; risk is highest in those born at ≤33 weeks. Further work is needed to identify potentially modifiable factors to tailor prenatal, postnatal and perioperative care of infants with CHD born prematurely.

CirculationVol. 150(Suppl_1)
Boston Children's Hospital (US), Boston Children's Museum (US)
Quality Education
Openalex Percentile: Top 69%
Congenital Heart Disease Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.