Impact of Atrioventricular Valve Intervention at Each Stage of Single Ventricle Palliation

John D Vossler1, Aaron W Eckhauser2, Eric R Griffiths2

  • 1Division of Cardiovascular and Thoracic Surgery, Department of Surgery, University of California, San Diego, CA, USA.

Insights

Performing atrioventricular valve intervention during single ventricle palliation increases operative mortality and major morbidity. Black race and preterm birth are key risk factors for adverse outcomes in these complex pediatric heart patients.

Area of Science:

  • Pediatric Cardiology
  • Congenital Heart Surgery
  • Cardiovascular Surgery

Background:

  • Significant atrioventricular valve dysfunction poses risks in functionally univentricular heart patients undergoing staged palliation.
  • These risks include mortality and the need for heart transplantation.
  • Understanding these impacts is crucial for improving patient outcomes.

Purpose of the Study:

  • To analyze the effect of concurrent atrioventricular valve intervention on outcomes across all stages of single ventricle palliation.
  • To identify specific risk factors linked to adverse outcomes in these patients.

Main Methods:

  • Utilized the Society of Thoracic Surgeons Congenital Heart Surgery Database (2013-2022).
  • Analyzed cohorts for each palliation stage: initial palliation, superior cavopulmonary anastomosis, and Fontan procedure.
  • Employed bivariate analysis and multiple logistic regression to identify predictors of mortality or major morbidity.

Main Results:

  • Concurrent atrioventricular valve intervention correlated with higher operative mortality/major morbidity in all cohorts (p < .001).
  • Black race (cohort 1) and preterm birth (cohort 2) emerged as significant predictors of worse outcomes.
  • Specific odds ratios and confidence intervals highlight these associations.

Conclusions:

  • Concurrent atrioventricular valve intervention presents a significant risk factor for mortality and major morbidity at every stage of single ventricle palliation.
  • Identified risk factors can inform clinical decision-making for improved patient management.
  • Further research may refine risk stratification and treatment strategies.