Value of dynamic changes in inflammatory biomarkers for predicting intravenous immunoglobulin resistance in children with Kawasaki disease
Fractional changes in WBC and NE count were established as robust predictors of IVIG resistance in KD. Future efforts should focus on developing predictive models with thresholds and dynamic risk assessments at various time points to enhance the accuracy of IVIG resistance prediction. Clinicians should closely monitor children with IVIG resistance risk factors and reassess the risk after first treatment.
Authors
- Guanghui Qian (ORCID: https://orcid.org/0009-0005-5552-9125)
- Weiguo Qian
- Zhiyuan Liu (ORCID: https://orcid.org/0000-0002-4943-6572)
- Jing Li (ORCID: https://orcid.org/0000-0003-0873-0596)
- Panpan Liu (ORCID: https://orcid.org/0000-0002-0828-5931)
- Ying Liu (ORCID: https://orcid.org/0000-0003-0634-8158)
- Mingyang Zhang (ORCID: https://orcid.org/0000-0001-7084-6237)
- Haitao Lv (ORCID: https://orcid.org/0000-0002-1593-3538)
- Yidan Zhang (ORCID: https://orcid.org/0009-0002-2299-8011)
- Shuhui Wang (ORCID: https://orcid.org/0000-0002-9496-0963)
- Sheng Zhao (ORCID: https://orcid.org/0009-0003-6199-0052)
- Miao Hou (ORCID: https://orcid.org/0000-0002-9931-5146)
- Jiajia Tan (ORCID: https://orcid.org/0000-0002-9124-3010)
- Qiuqin Xu
- Q. Q. Ge
Institutions
- Soochow University (CN)
- Anhui Provincial Children's Hospital (CN)
- Children's Hospital of Suzhou University (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-09-29
- DOI
- https://doi.org/10.3389/fimmu.2025.1632578
- Primary Topic
- Kawasaki Disease and Coronary Complications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Rare Disease Foundation
- National Natural Science Foundation of China
- Soochow University