Objectives: Somatic development is impaired in children with congenital heart defects (CHDs), and head circumference seems to be a strong predictor of neurodevelopmental prognosis. The aim of this study was to generate up-to-date reference values for the somatic development (head circumference, body weight, and length/height) of children with CHDs.
Study Design: Our study population consisted of all patients included in the PAN study (Prävalenz angeborener Herzfehler bei Neugeborenen in Deutschland), which was conducted prospectively over a 3-year study period by the Competence Network for Congenital Heart Defects. All children with mild, moderate, and severe CHDs born in 2006-2009 in Germany were enrolled. For computing of z-scores, only children with the following characteristics were included: appropriate for gestational age, nonsyndromic disease, term or post-term delivery, and no cardiac surgery.
Results: There were 2818 patients included. New z-scores for the described somatic measures of children with mild, moderate, and severe CHDs were computed. Comparisons with the KiGGS study (Gesundheit von Kindern und Jugendlichen in Deutschland) and the Berlin Longitudinal Study revealed significantly lower measurements for all measures-most notably in children with severe CHDs and/or cardiac surgery. In our cohort, no catch-up growth was seen after cardiac surgery.
Conclusion: Children with severe CHDs demonstrated the most abnormal pattern in growth, including head circumference before and after cardiac surgery, which is indicative of accompanying brain pathology unrelated to operative injury.
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http://dx.doi.org/10.1016/j.jpeds.2017.09.059 | DOI Listing |
Birth Defects Res
February 2025
National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Background: Almost half of individuals born with Down syndrome (DS) have congenital heart defects (CHDs). Yet, little is known about the health and healthcare needs of adults with CHDs and DS. Therefore, we examined comorbidities and healthcare utilization of this population.
View Article and Find Full Text PDFCardiol Young
January 2025
Children's Healthcare of Atlanta Cardiology, Atlanta, GA, USA.
The initial and updated Society of Thoracic Surgeons-European Association for Cardiothoracic Surgery (STAT and STAT 2020) and Risk Adjusted Classification for Congenital Heart Surgery-1 and Risk Adjusted Classification for Congenital Heart Surgery-2 scoring systems are validated to predict early postoperative mortality following congenital heart surgery in children; however, their ability to predict long-term mortality has not been examined. We performed a retrospective cohort study using data from the Pediatric Cardiac Care Consortium, a US-based registry of cardiac interventions in 47 participating centres between 1982 and 2011. Patients included in this cohort analysis had select congenital heart surgery representing the spectrum of severity as determined by STAT and Risk Adjusted Classification for Congenital Heart Surgery-1 and were less than 21 years of age.
View Article and Find Full Text PDFCardiol Young
October 2024
Department of Community Medicine, F.H. Medical College, Agra, Uttar Pradesh, India.
Infants of diabetic mothers are neonates born to a woman who had periodic hyperglycaemia during pregnancy. Consequently, infants of diabetic mothers are at higher risks of illness besides morbidity and mortality due to teratogenic effects on the fetal cardiovascular system, causing most frequent CHDs. The primary purpose of this review is to present, on this topic, a better-comprehended review covering pertinent material and data to be informed of severe risks to a newborn's cardiac system and function.
View Article and Find Full Text PDFInt J Cardiol Congenit Heart Dis
June 2024
Sydney Medical School, University of Sydney, Camperdown, NSW 2006, Australia.
Background: In order to manage a class of diseases as broad as congenital heart disease (CHD), multiple "manually generated" classification systems defining CHDs as mild, moderate and severe have been developed and used to good effect. As databases have grown, however, such "manual" complexity scoring has become infeasible. Though past attempts have been made to determine CHD complexity algorithmically using a list of diagnoses alone, missing data and lack of procedural information have been significant limitations.
View Article and Find Full Text PDFNeoreviews
December 2024
Department of Pediatrics, Division of Neonatology, University of California, Davis Health, Sacramento, CA.
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