Risk Models for Monitoring Postoperative Complication Rates After Paediatric Cardiac Surgery

Hannah K Mitchell1, Ferran Espuny Pujol2,3, Rodney C Franklin4

  • 1Infection, Immunity and Inflammation Department, University College London (UCL) Institute of Child Health, London, WC1N 1EH, United Kingdom.

Insights

Monitoring postoperative complications in pediatric cardiac surgery is crucial. This study developed risk adjustment models using national data to assess complication rates, aiding quality assurance in children

Area of Science:

  • Pediatric Cardiac Surgery
  • Health Outcomes Research
  • Quality Assurance Metrics

Background:

  • Pediatric cardiac surgery has low mortality rates, shifting focus to postoperative complications.
  • Complications significantly impact children's health and well-being post-surgery.
  • Effective monitoring requires robust risk adjustment methods.

Purpose of the Study:

  • To develop and evaluate risk adjustment models for 6 key postoperative complications in pediatric cardiac surgery.
  • To enable reliable monitoring of complication rates for quality assurance.
  • To address the complexity of complications as outcome measures compared to mortality.

Main Methods:

  • Utilized national registry data from England and Wales (2015-2021).
  • Developed risk adjustment models for 6 defined postoperative complications.
  • Evaluated model performance using area under the curve (AUC) statistics.

Main Results:

  • Analyzed 23,423 postoperative episodes in children (<18 years).
  • Identified complication rates: necrotizing enterocolitis (1.9%), prolonged pleural effusion (1.3%), acute neurological events (2.2%), extracorporeal life support (1.9%), renal replacement therapy (3.6%), and unplanned reinterventions (4.3%).
  • Models for pleural effusion, extracorporeal life support, and renal replacement showed high performance (AUC >0.85); others were less accurate (AUC 0.74-0.79).

Conclusions:

  • National registry data can capture postoperative complications in pediatric cardiac surgery.
  • Risk adjustment models are feasible for monitoring these complex outcomes.
  • Developed methods support future risk-adjusted quality assurance for pediatric cardiac surgery outcomes.
Abstract

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