Improved classification of coronary artery abnormalities based only on coronary artery z-scores after Kawasaki

Cedric Manlhiot1, Kyle Millar, Fraser Golding

  • 1Division of Cardiology, Department of Pediatrics, Labatt Family Heart Centre, The Hospital for Sick Children, University of Toronto, Toronto, ON M5G-1X8, Canada.

Pediatric Cardiology
|December 22, 2009
PubMed

Insights

Kawasaki disease (KD) coronary artery abnormalities (CAAs) need better classification. A new z-score system offers more accurate grading than the current AHA guidelines, improving patient management and prognosis.

Area of Science:

  • Cardiology
  • Pediatric Cardiology
  • Medical Imaging

Background:

  • Coronary artery abnormalities (CAAs) are a significant complication of Kawasaki disease (KD).
  • Current classification systems for CAAs, such as the American Heart Association (AHA) guidelines, are based on clinical experience and may lack precision.
  • Inconsistent classification impacts patient management and prognosis.

Purpose of the Study:

  • To propose a novel classification system for CAAs in Kawasaki disease patients based solely on coronary artery z-scores.
  • To evaluate the accuracy of this z-score-based system compared to existing AHA classifications.
  • To establish a more objective and consistent method for grading CAAs.

Main Methods:

  • Retrospective review of 4379 echocardiograms from 1356 Kawasaki disease patients (1990-2007).
  • Coronary artery dimensions were converted to body-surface-area-adjusted z-scores.
  • Comparison of z-score distributions with current American Heart Association (AHA) classification criteria.

Main Results:

  • Significant overlap observed between AHA-defined CAA classes based on z-scores.
  • The AHA classification underestimated CAA severity in 19-32% of small and 35-78% of medium CAAs.
  • Proposed z-score thresholds: small (≥2.5 to <5.0), large (≥5.0 to <10.0), giant (≥10.0).

Conclusions:

  • The current AHA classification may inaccurately categorize CAAs in KD patients.
  • A z-score-based classification system provides a more precise and consistent method for grading CAAs.
  • Accurate CAA classification is crucial for guiding consistent management and prognosis across diverse patient populations.

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