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Predictive factors of medium-giant coronary artery aneurysms in Kawasaki disease

Saitong Jiang1,2, Meng Li2, Kun Xu1,2

  • 1Shantou University Medical College, Shantou, Guangdong, China.

Pediatric Research
|September 5, 2023
PubMed

Insights

This study identified key predictors for coronary artery aneurysms (CAA) in Kawasaki disease (KD) patients, developing a novel risk scoring system. The model effectively predicts medium-giant CAA and giant CAA, aiding early clinical intervention.

Area of Science:

  • Cardiology
  • Pediatrics
  • Rheumatology

Background:

  • Kawasaki disease (KD) can lead to coronary artery aneurysms (CAA).
  • Identifying predictive measures for medium and giant CAA is crucial for patient management.

Purpose of the Study:

  • To examine predictive measures for medium and giant CAA in KD patients.
  • To develop and validate a risk prediction model for medium-giant and giant CAA.

Main Methods:

  • Retrospective review of 1331 KD patients diagnosed between 2015-2021.
  • Comparison of clinical and laboratory data between medium-giant and non-medium-giant CAA groups.
  • Multivariate logistic regression analysis to identify independent predictors.

Main Results:

  • 63 patients (4.7%) developed medium-giant CAA; 27 (2%) had giant CAA.
  • Independent predictors for medium-giant CAA included male sex, age, fever duration, IVIG resistance, platelet count, and albumin.
  • Predictors for giant CAA included male sex, age, fever duration, IVIG resistance, platelet count, hemoglobin, and ESR.
  • Developed scoring systems showed high sensitivity (86.89% for medium-giant, 92.59% for giant) and specificity (81.65% for medium-giant, 87.93% for giant).

Conclusions:

  • Male sex, age, fever duration, IVIG resistance, platelet count, albumin, hemoglobin, and ESR are significant predictors of medium and giant CAA.
  • The developed risk prediction model demonstrates superior sensitivity and specificity compared to previous research.
  • This study provides a valuable tool for clinicians to predict medium-giant CAA and guide treatment decisions in the Chinese population.
Abstract

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