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J Pediatr ; 251: 140-148.e3, 2022 12.
Artículo en Inglés | MEDLINE | ID: mdl-35948191

RESUMEN

OBJECTIVE: The objective of the study was to compare the use of neonatal conventional brain magnetic resonance imaging (MRI) with that of clinical factors and socioeconomic status (SES) to predict long-term neurodevelopment in children with severe congenital heart disease (CHD). STUDY DESIGN: In this prospective cohort study, perioperative MRIs were acquired in 57 term-born infants with CHD undergoing cardiopulmonary bypass surgery during their first year of life. Total brain volume (TBV) was measured using an automated method. Brain injury severity (BIS) was assessed by an established scoring system. The neurodevelopmental outcome was assessed at 6 years using standardized test batteries. A multiple linear regression model was used for cognitive and motor outcomes with postoperative TBV, perioperative BIS, CHD complexity, length of hospital stay, and SES as covariates. RESULTS: CHD diagnoses included univentricular heart defect (n = 15), transposition of the great arteries (n = 33), and acyanotic CHD (n = 9). Perioperative moderate-to-severe brain injury was detected in 15 (26%) patients. The total IQ was similar to test norms (P = .11), whereas the total motor score (P < .001) was lower. Neither postoperative TBV nor perioperative BIS predicted the total IQ, but SES (P < .001) and longer hospital stay (P = .004) did. No factor predicted the motor outcome. CONCLUSION: Although the predictive value of neonatal conventional MRIs for long-term neurodevelopment is low, duration of hospital stay and SES better predict the outcome in this CHD sample. These findings should be considered in initiating early therapeutic support.


Asunto(s)
Lesiones Encefálicas , Cardiopatías Congénitas , Transposición de los Grandes Vasos , Lactante , Niño , Recién Nacido , Humanos , Transposición de los Grandes Vasos/cirugía , Estudios Prospectivos , Cardiopatías Congénitas/diagnóstico por imagen , Cardiopatías Congénitas/cirugía , Lesiones Encefálicas/patología , Neuroimagen , Clase Social
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