Abnormal Microarray, Clinical Outcomes, and Surgical Risk Scores in Young Children with Cardiac Disease

Pediatr Cardiol. 2021 Dec;42(8):1785-1791. doi: 10.1007/s00246-021-02664-4. Epub 2021 Jun 23.

Abstract

The clinical implications of abnormal chromosomal microarray (CMA) remain unclear for children less than 1 year of age with critical heart disease. Our objective was to determine whether abnormal CMA was related to surgical severity scores or to pre-determined clinical outcomes, including cardiac arrest. Retrospective review of children under 1 year of age admitted to a pediatric cardiac intensive care unit from December, 2014 to September, 2017. Associations between CMA result and cardiac arrest, syndromic abnormalities, and extracardiac anomalies were evaluated. A simple and multivariable logistic regression model was used to analyze associations between STAT mortality category and CMA result. The overall prevalence of abnormal microarray was 48/168 (29%), with peak prevalence in AV septal defects and left-sided obstructive lesions. There was no statistical association between surgical severity scores and abnormal CMA (STAT 1/2 vs. 3+, odds ratio 0.56, p = 0.196). Abnormal CMA was associated with a higher prevalence of cardiac arrest (5/48 abnormal CMA vs. 2/120 normal CMA, p = 0.02). Abnormal CMA was associated with a higher frequency of syndromic abnormalities (18/48 abnormal CMA vs. 13/120 normal CMA, p < 0.001). There was a high prevalence of abnormal CMA findings in the pediatric cardiac population less than 1 year of age (29%), associated with cardiac arrest, but not associated with surgical risk score. The absence of a standardized protocol for ordering a CMA in the setting of congenital heart disease results in a highly variable prevalence data.

Keywords: Cardiac arrest; Chromosomal microarray; Congenital heart disease; Pediatric; Surgical risk score.

MeSH terms

  • Child
  • Child, Preschool
  • Chromosome Aberrations*
  • Heart Defects, Congenital* / surgery
  • Humans
  • Microarray Analysis
  • Retrospective Studies
  • Risk Factors