The electrophysiological index can effectively predict subsequent coronary artery aneurysm in children with Kawasaki disease
| Title: | The electrophysiological index can effectively predict subsequent coronary artery aneurysm in children with Kawasaki disease |
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| Authors: | Daijiro Suzuki, Takanori Suzuki, Masayuki Fujino, Yumiko Asai, Arisa Kojima, Hidetoshi Uchida, Kazuyoshi Saito, Hirofumi Kusuki, Yuanying Li, Hiroshi Yatsuya, Tsuneaki Sadanaga, Tadayoshi Hata, Tetsushi Yoshikawa |
| Source: | Fujita Medical Journal, Vol 9, Iss 4, Pp 275-281 (2023) |
| Publisher Information: | Fujita Medical Society, 2023. |
| Publication Year: | 2023 |
| Collection: | LCC:Medicine (General) |
| Subject Terms: | kawasaki disease, coronary artery aneurysm, t-peak to t-end interval, qt interval, Medicine (General), R5-920 |
| More Details: | Objectives: The Gunma score is used to predict the severity of Kawasaki disease (KD), including coronary artery aneurysm (CAA) as a cardiac complication, in Japan. Additionally, the characteristic ratio of ventricular repolarization (T-peak to T-end interval to QT interval [Tp-e/QT]) on a surface electrocardiogram reflects myocardial inflammation. This study aimed to determine whether the Tp-e/QT can be used to predict CAA in children with KD. Methods: We analyzed chest surface electrocardiograms of 112 children with KD before receiving intravenous immunoglobulin therapy using available software (QTD; Fukuda Denshi, Tokyo, Japan). Results: The Tp-e/QT (lead V5) was positively correlated with the Gunma score (r=0.352, p |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 2189-7247 2189-7255 |
| Relation: | https://www.jstage.jst.go.jp/article/fmj/9/4/9_2023-001/_pdf/-char/en; https://doaj.org/toc/2189-7247; https://doaj.org/toc/2189-7255 |
| DOI: | 10.20407/fmj.2023-001 |
| Access URL: | https://doaj.org/article/6f12fbee10be4286ab73722c58bd6e1e |
| Accession Number: | edsdoj.6f12fbee10be4286ab73722c58bd6e1e |
| Database: | Directory of Open Access Journals |
| ISSN: | 21897247 21897255 |
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| DOI: | 10.20407/fmj.2023-001 |
| Published in: | Fujita Medical Journal |
| Language: | English |