4.8 Article

Fetal Brain Volume Predicts Neurodevelopment in Congenital Heart Disease

期刊

CIRCULATION
卷 145, 期 15, 页码 1108-1119

出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1161/CIRCULATIONAHA.121.056305

关键词

brain; heart defects; congenital; magnetic resonance imaging

资金

  1. National Institute of Neurological Disorders and Stroke [K23NS101120]
  2. National Heart, Lung, and Blood Institute [K23HL141602]
  3. National Institute of Biomedical Imaging and Bioengineering [R01EB013248, R01EB018988, R01NS106030, R01EB031849]
  4. National Heart, Lung, and Blood Institute Pediatric Heart Network Scholar Award
  5. American Academy of Neurology Clinical Research Training Fellowship
  6. Brain and Behavior Research Foundation NARSAD (National Alliance for Research in Schizophrenia and Depression)
  7. McKnight Foundation Technological Innovations in Neuroscience Award
  8. Office of Faculty Development at Boston Children's Hospital Career Development Awards
  9. Mend A Heart Foundation
  10. Farb Family Fund

向作者/读者索取更多资源

This study investigated whether fetal brain volume could predict neurodevelopmental outcomes in children with congenital heart disease (CHD). The results showed that fetal brain volume was correlated with cognitive, language, motor scores, and adaptive functioning scores. Fetal brain volume was found to be a strong independent predictor of neurodevelopmental outcomes, suggesting its potential as an important imaging biomarker for future risk assessment in CHD.
Background: Neurodevelopmental impairment is common in children with congenital heart disease (CHD), but postnatal variables explain only 30% of the variance in outcomes. To explore whether the antecedents for neurodevelopmental disabilities might begin in utero, we analyzed whether fetal brain volume predicted subsequent neurodevelopmental outcome in children with CHD. Methods: Fetuses with isolated CHD and sociodemographically comparable healthy control fetuses underwent fetal brain magnetic resonance imaging and 2-year neurodevelopmental evaluation with the Bayley Scales of Infant and Toddler Development, Third Edition (Bayley-III) and the Adaptive Behavior Assessment System, Third Edition (ABAS-3). Hierarchical regression evaluated potential predictors of Bayley-III and ABAS-3 outcomes in the CHD group, including fetal total brain volume adjusted for gestational age and sex, sociodemographic characteristics, birth measures, and medical history. Results: The CHD group (n=52) had lower Bayley-III cognitive, language, and motor scores than the control group (n=26), but fetal brain volumes were similar. Within the CHD group, larger fetal total brain volume correlated with higher Bayley-III cognitive, language, and motor scores and ABAS-3 adaptive functioning scores (r=0.32-0.47; all P<0.05), but this was not noted in the control group. Fetal brain volume predicted 10% to 21% of the variance in neurodevelopmental outcome measures in univariate analyses. Multivariable models that also included social class and postnatal factors explained 18% to 45% of the variance in outcome, depending on developmental domain. Moreover, in final multivariable models, fetal brain volume was the most consistent predictor of neurodevelopmental outcome across domains. Conclusions: Small fetal brain volume is a strong independent predictor of 2-year neurodevelopmental outcomes and may be an important imaging biomarker of future neurodevelopmental risk in CHD. Future studies are needed to support this hypothesis. Our findings support inclusion of fetal brain volume in risk stratification models and as a possible outcome in fetal neuroprotective intervention studies.

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