Prediction of outcome in fetal autoimmune complete heart block

Neeta Sethi1, Anita Krishnan1, Mary Donofrio1

  • 1Division of Cardiology, Children's National Hospital, Washington, DC.

Prenatal Diagnosis
|January 9, 2020
PubMed

Insights

Cardiovascular profile scores (CVP) did not predict mortality in fetuses with autoimmune complete atrioventricular block (CAVB). Umbilical artery pulsatility and middle cerebral artery pulsatility may offer better risk stratification for these high-risk pregnancies.

Area of Science:

  • Maternal-Fetal Medicine
  • Cardiology
  • Immunology

Background:

  • Autoimmune complete atrioventricular block (CAVB) poses challenges for fetal cardiac assessment.
  • Maternal antibodies (anti-Sjögren syndrome type A [SSA] or anti-Sjögren syndrome type B [SSB]) can cause fetal CAVB.
  • Risk stratification in these fetuses is crucial for management.

Purpose of the Study:

  • To evaluate the cardiovascular profile score (CVP) and its components for surveillance in fetuses with autoimmune CAVB.
  • To determine the predictive value of CVP for perinatal mortality in this cohort.

Main Methods:

  • Retrospective cohort review of pregnancies with fetal CAVB.
  • Exclusion of fetuses with significant congenital cardiac anomalies.
  • Analysis of cardiovascular parameters including CVP, middle cerebral artery pulsatility index (MCA-PI), and umbilical artery pulsatility index (UA-PI).

Main Results:

  • Seventeen fetuses with autoimmune CAVB were identified, diagnosed at a mean gestational age of 23 weeks.
  • Overall mortality was 18% (termination, intrauterine fetal demise, postnatal death).
  • High CVP scores were observed in all fetuses and did not correlate with mortality; however, abnormal MCA-PI and UA-PI were noted, with the lowest MCA-PI in fetuses that did not survive.

Conclusions:

  • Cardiovascular profile score (CVP) may not be a reliable predictor of mortality in fetuses with autoimmune CAVB.
  • Abnormalities in fetal cerebral blood flow (MCA-PI) and placental perfusion (UA-PI) may indicate altered hemodynamics and placental disease, potentially predicting adverse outcomes.
  • Further research with larger cohorts is needed to confirm the predictive value of MCA-PI and UA-PI.

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