Late gestation predictors of a postnatal biventricular circulation after fetal aortic valvuloplasty

Prenat Diagn. 2021 Mar;41(4):479-485. doi: 10.1002/pd.5885. Epub 2021 Feb 2.

Abstract

Objectives: Fetal aortic valvuloplasty (FAV) for severe aortic stenosis (AS) has shown promise in averting progression to hypoplastic left heart syndrome. After FAV, predicting which fetuses will achieve a biventricular (BiV) circulation after birth remains challenging. Identifying predictors of postnatal circulation on late gestation echocardiography will improve parental counseling.

Methods: Liveborn patients who underwent FAV and had late gestation echocardiography available were included (2000-2017, n = 96). Multivariable logistic regression and classification and regression tree analysis were utilized to identify independent predictors of BiV circulation.

Results: Among 96 fetuses, 50 (52.1%) had BiV circulation at the time of neonatal discharge. In multivariable analysis, independent predictors of biventricular circulation included left ventricular (LV) long axis z-score (OR 3.2, 95% CI 1.8-5.7, p < 0.001), LV ejection fraction (OR 1.3, 95% CI 1.0-1.8, p = 0.023), anterograde aortic arch flow (OR 5.0, 95% CI 1.2-20.4, p = 0.024), and bidirectional or right-to-left foramen ovale flow (OR 4.6, 95% CI 1.4-15.8, p = 0.015).

Conclusion: Several anatomic and physiologic parameters in late gestation were found to be independent predictors of BiV circulation after FAV. Identifying these predictors adds to our understanding of LV growth and hemodynamics after FAV and may improve parental counseling.

MeSH terms

  • Aortic Valve Stenosis / diagnosis
  • Aortic Valve Stenosis / genetics
  • Aortic Valve Stenosis / surgery*
  • Balloon Valvuloplasty / methods
  • Balloon Valvuloplasty / standards*
  • Balloon Valvuloplasty / statistics & numerical data
  • Blood Circulation / genetics
  • Blood Circulation / physiology*
  • Cohort Studies
  • Female
  • Fetus / physiopathology
  • Fetus / surgery*
  • Gestational Age
  • Humans
  • Logistic Models
  • Male
  • Pregnancy
  • Retrospective Studies