Scholarlink

Abstract Impact <p><UnorderedList Mark="Bullet"> <ItemContent> <p>Medium-to-giant coronary artery aneurysms (MGCAA) are the most serious complication of Kawasaki disease. Early prediction is difficult with current risk scores lacking validation and not designed for MGCAA.</p> </ItemContent> <ItemContent> <p>A transparent model uses six clinical variables (hemoglobin, diagnosis time, mucosal changes, rash, triglycerides, neutrophil percentage), validated in two Chinese cohorts with simple recalibration for broader use.</p> </ItemContent> <ItemContent> <p>A web tool offers personalized risk assessments to guide monitoring and follow-up, supporting clinical decisions without fixed treatment thresholds.</p> </ItemContent> </UnorderedList></p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Early risk stratification for coronary artery aneurysms in Kawasaki disease: a predictive modeling approach

  • 期刊论文

  • 发表日期：

    2026年5月5日

查看全文
  • Khaled Saad,
  • Shimaa Elwardany Aly,
  • Amira Elhoufey,
  • Wesam M. Hussein,
  • Mohamad-Hani Temsah,
  • Ahmad Roshdy Ahmad,
  • Mohamed Shawky Elfarargy,
  • Rasha Refaat Mahmoud

摘要

Abstract Impact

Medium-to-giant coronary artery aneurysms (MGCAA) are the most serious complication of Kawasaki disease. Early prediction is difficult with current risk scores lacking validation and not designed for MGCAA.

A transparent model uses six clinical variables (hemoglobin, diagnosis time, mucosal changes, rash, triglycerides, neutrophil percentage), validated in two Chinese cohorts with simple recalibration for broader use.

A web tool offers personalized risk assessments to guide monitoring and follow-up, supporting clinical decisions without fixed treatment thresholds.