Evaluating the performance of egami, kobayashi and sano scores in predicting IVIG resistance in infant kawasaki disease

Existing Japanese risk scoring systems and our newly developed score showed limited effectiveness in predicting IVIG resistance in infant KD. The high proportion of incomplete presentation and IVIG resistance in infants highlights the need for age-specific risk assessment and management. Further research is necessary to develop more sophisticated, dedicated prediction model for IVIG resistance in infants with KD.

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Publication Details

Journal
BMC Pediatrics
Published
2024-09-28
DOI
https://doi.org/10.1186/s12887-024-05035-z
Citations
6
Primary Topic
Kawasaki Disease and Coronary Complications
Type
article
Field-Weighted Citation Impact
3.44

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article

Evaluating the performance of egami, kobayashi and sano scores in predicting IVIG resistance in infant kawasaki disease

Jung Eun Kwon, Yeo Hyang Kim, Young Tae Lim
6 citations
BMC Pediatrics
Kawasaki Disease and Coronary Complications
3.44
article

Evaluating the performance of egami, kobayashi and sano scores in predicting IVIG resistance in infant kawasaki disease

Jung Eun Kwon, Yeo Hyang Kim, Young Tae Lim
article en
6 citations

Abstract

Existing Japanese risk scoring systems and our newly developed score showed limited effectiveness in predicting IVIG resistance in infant KD. The high proportion of incomplete presentation and IVIG resistance in infants highlights the need for age-specific risk assessment and management. Further research is necessary to develop more sophisticated, dedicated prediction model for IVIG resistance in infants with KD.

BMC PediatricsVol. 24(1)
Kyungpook National University Hospital (KR), Kyungpook National University (KR)
National Research Foundation, National Research Foundation of Korea
Openalex Percentile: Top 7%
Kawasaki Disease and Coronary Complications
3.44
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