Update on Prenatal Detection Rate of Critical Congenital Heart Disease Before and During the COVID-19 Pandemic

Pediatr Cardiol. 2024 Jun;45(5):1015-1022. doi: 10.1007/s00246-024-03487-9. Epub 2024 Apr 3.

Abstract

Prenatal diagnosis of critical congenital heart disease (CCHD) has improved over time, and previous studies have identified CCHD subtype and socioeconomic status as factors influencing rates of prenatal diagnosis. Our objective of this single-center study was to compare prenatal diagnosis rates of newborns with CCHD admitted for cardiac intervention from the COVID-19 pandemic period (March 2020 to March 2021) to the pre-pandemic period and identify factors associated with the lack of CCHD prenatal diagnosis. The overall rate of CCHD and rates of the various CCHD diagnoses were calculated and compared with historical data collection periods (2009-2012 and 2013-2016). Compared with the 2009-2012 pre-pandemic period, patients had 2.17 times higher odds of having a prenatal diagnosis of CCHD during the pandemic period controlling for lesion type (aOR = 2.17, 95% CI 1.36-3.48, p = 0.001). Single ventricle lesions (aOR 6.74 [4.64-9.80], p < 0.001) and outflow tract anomalies (aOR 2.20 [1.56-3.12], p < 0.001) had the highest odds of prenatal diagnosis compared with the remaining lesions. Patients with outflow tract anomalies had higher odds for prenatal detection in the pandemic period compared with during the 2009-2012 pre-pandemic period (aOR 2.01 [1.06-3.78], p = 0.031). In conclusion, prenatal detection of CCHD among newborns presenting for cardiac intervention appeared to have improved during the pandemic period.

Keywords: Access to health care; COVID-19; Congenital heart defects; Echocardiography.

MeSH terms

  • COVID-19* / diagnosis
  • COVID-19* / epidemiology
  • Female
  • Heart Defects, Congenital* / diagnosis
  • Heart Defects, Congenital* / epidemiology
  • Humans
  • Infant, Newborn
  • Male
  • Pandemics
  • Pregnancy
  • Prenatal Diagnosis* / methods
  • Prenatal Diagnosis* / statistics & numerical data
  • Retrospective Studies
  • SARS-CoV-2