Coronary artery Z score regression equations and calculators derived from a large heterogeneous population of

Laura Olivieri1, Bob Arling, Mark Friberg

  • 1Division of Cardiology, Children's National Medical Center, Washington, DC, USA.

Insights

Accurate Z scores for coronary artery measurements in children with Kawasaki disease are now achievable. A new Z-score calculator ensures precise and consistent patient treatment based on echocardiogram data.

Area of Science:

  • Pediatric Cardiology
  • Medical Imaging
  • Biostatistics

Background:

  • Kawasaki disease management relies on coronary artery measurements via 2D echocardiography.
  • Accurate Z scores are crucial for consistent patient treatment.
  • Standardized Z scores aid in clinical decision-making for Kawasaki disease.

Purpose of the Study:

  • To develop a reliable Z-score calculator for coronary artery measurements.
  • To establish accurate Z scores for pediatric patients aged 0-20 years.
  • To improve clinical decision-making in Kawasaki disease management.

Main Methods:

  • Measured RCA, LMCA, and LAD coronary arteries in 432 normal echocardiograms (ages 0-20).
  • Utilized linear regression analysis relating measurements to body surface area (BSA) and height.
  • Selected the optimal model based on adjusted R(2) and mean square error for Z-score calculator development.

Main Results:

  • The model ln(measurement) = beta(1) + beta(2) x ln(BSA) yielded high adjusted R(2) values (0.638 for RCA, 0.702 for LMCA, 0.708 for LAD).
  • Mean square error was consistently low (< 0.0402) across all coronary artery models.
  • These results support the validity of the chosen regression model for Z-score calculation.

Conclusions:

  • A Z-score calculator can accurately determine Z scores for coronary artery measurements in children.
  • This tool facilitates precise and consistent management of Kawasaki disease.
  • The developed calculator enhances the reliability of echocardiographic assessments in pediatric cardiology.
Abstract

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