Echocardiographic Predictors of Recoarctation After Surgical Repair: A Swedish National Study

Constance G Weismann1, Bernhard S Grell1, Michal Odermarsky1

  • 1Department of Clinical Sciences Lund, Pediatric Cardiology, Lund University, Skane University Hospital, Lund, Sweden.

Insights

Postoperative echocardiograms can predict restenosis (reCoA) after aortic coarctation repair. Identifying high-risk infants allows for tailored follow-up to improve outcomes.

Area of Science:

  • Pediatric Cardiology
  • Cardiovascular Surgery
  • Medical Imaging

Background:

  • Surgical repair of aortic coarctation (CoA) carries a risk of restenosis (reCoA), particularly within the first year of life.
  • Early identification of risk factors for reCoA is crucial for timely intervention and improved patient outcomes.

Purpose of the Study:

  • To identify risk factors for reCoA by analyzing postoperative predischarge echocardiograms in children who underwent surgical repair for CoA.
  • To develop predictive models for reCoA risk based on echocardiographic and clinical data.

Main Methods:

  • Retrospective analysis of echocardiograms from 253 children operated on for CoA in Sweden (2011-2017).
  • Development of two reCoA risk models incorporating aortic dimensions (Z-scores) and surgical/demographic factors.
  • Categorization of reCoA risk into low, moderate, moderate-to-high, and high based on model predictions.

Main Results:

  • A total of 34 patients (13%) experienced reCoA, with 74% occurring by 6 months and 91% by 12 months post-surgery.
  • Highest reCoA risk was associated with an isthmus ≤3.3 mm or an isthmus Z-score ≤-2.8 combined with a surgery weight <4.4 kg.
  • Low reCoA risk was observed in patients with an isthmus >3.7 mm and distal aortic arch >3.5 mm, or specific combinations of Z-scores and weight.

Conclusions:

  • Postoperative predischarge echocardiographic variables, alongside surgical and demographic factors, can effectively predict the risk of reCoA.
  • Individualized follow-up intervals based on predicted reCoA risk are recommended to optimize patient management.
Abstract

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