A prediction model for post-treatment presence of coronary artery abnormality before initial treatment in Kawasaki disease in Japan

The developed model accurately predicts post-treatment CAA presence, emphasizing the importance of early coronary <i>Z</i>-score assessment. It could guide intensive initial therapies to reduce CAA incidence, supporting KD management. However, further validation in diverse populations is recommended.

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Publication Details

Journal
Frontiers in Pediatrics
Published
2025-12-02
DOI
https://doi.org/10.3389/fped.2025.1647195
Primary Topic
Kawasaki Disease and Coronary Complications
Type
article
Field-Weighted Citation Impact
0.00

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article

A prediction model for post-treatment presence of coronary artery abnormality before initial treatment in Kawasaki disease in Japan

Takashi Takeuchi, Kumi Yasukawa, Shoichi Shibuta, Hiromichi Hamada et al.
Frontiers in Pediatrics
Kawasaki Disease and Coronary Complications
article

A prediction model for post-treatment presence of coronary artery abnormality before initial treatment in Kawasaki disease in Japan

Takashi Takeuchi, Kumi Yasukawa, Shoichi Shibuta, Hiromichi Hamada, Nobuyuki Kakimoto, Kota Abe, Takayuki Suzuki, Kentaro Okunushi, Hiroyuki Suzuki, Naomi Kitano, Daisuke Tokuhara, Tomohiro Suenaga
article en

Abstract

The developed model accurately predicts post-treatment CAA presence, emphasizing the importance of early coronary <i>Z</i>-score assessment. It could guide intensive initial therapies to reduce CAA incidence, supporting KD management. However, further validation in diverse populations is recommended.

Frontiers in PediatricsVol. 13
Chiba University (JP), Wakayama Medical University (JP), Tokyo Women's Medical University (JP), Kinan Hospital (JP)
Ministry of Education, Culture, Sports, Science and Technology, Japan Society for the Promotion of Science
Openalex Percentile: Top 43%
Kawasaki Disease and Coronary Complications
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