Literature DB >> 25910931

Risk factors and derived formosa score for intravenous immunoglobulin unresponsiveness in Taiwanese children with Kawasaki disease.

Ming-Tai Lin1, Chin-Hao Chang2, Li-Chuan Sun3, Hsin-Min Liu1, Huei-Wen Chang4, Chun-An Chen1, Shuenn-Nan Chiu1, Chun-Wei Lu1, Luan-Yin Chang1, Jou-Kou Wang1, Mei-Hwan Wu5.   

Abstract

BACKGROUND/
PURPOSE: Kawasaki disease (KD) is the most common pediatric vasculitis. The study aimed to identify the risk factors of intravenous immunoglobulin (IVIG) unresponsiveness from the initial clinical parameters of the Taiwanese KD patients.
METHODS: We enrolled 248 KD (development dataset: 181, validation: 67) patients who received IVIG within 10 days after fever onset. IVIG unresponsiveness was defined by persistent fever beyond 24 hours after IVIG or recrudescent fever with KD symptoms.
RESULTS: From the development dataset (181 patients), IVIG unresponsiveness was noted in 22 patients (12.1%). The preIVIG levels of albumin, percentage of neutrophils, and positive lymphadenopathy were identified with highest risk for IVIG unresponsiveness. These three variables were used to construct a three-variable logistic regression model, which yielded an area under the receiver-operating-characteristics curve of 0.87. These three variables were further used to generate a composite scoring model (Formosa score) which yielded a sensitivity of 90.9% and specificity of 81.3% for a cut-off point of three or more. Validation in an independent cohort (67 KD patients) yielded sensitivity and specificity of 71.4% and 81.0%, respectively.
CONCLUSION: We have established a simple three-variable Formosa score for KD patients to identify early those at risk of IVIG unresponsiveness for timely aggressive immunomodulation initially.
Copyright © 2015. Published by Elsevier B.V.

Entities:  

Keywords:  Kawasaki disease; albumin; immunoglobulin; lymphadenopathy; score

Mesh:

Substances:

Year:  2015        PMID: 25910931     DOI: 10.1016/j.jfma.2015.03.012

Source DB:  PubMed          Journal:  J Formos Med Assoc        ISSN: 0929-6646            Impact factor:   3.282


  26 in total

1.  The factors affecting the disease course in Kawasaki disease.

Authors:  Elif Arslanoglu Aydin; Ilker Ertugrul; Yelda Bilginer; Ezgi Deniz Batu; Hafize Emine Sonmez; Selcan Demir; Zehra Serap Arici; Erdal Sag; Dursun Alehan; Seza Ozen
Journal:  Rheumatol Int       Date:  2019-05-28       Impact factor: 2.631

2.  Hepatic dysfunction secondary to Kawasaki disease: characteristics, etiology and predictive role in coronary artery abnormalities.

Authors:  Goshgar Mammadov; Hui Hui Liu; Wei Xia Chen; Guo Zhen Fan; Rui Xue Li; Fei Fei Liu; Sama Samadli; Jing Jing Wang; Yang Fang Wu; Huang Huang Luo; Dong Dong Zhang; Wei Wei; Peng Hu
Journal:  Clin Exp Med       Date:  2019-11-16       Impact factor: 3.984

3.  Non-coronary cardiac events, younger age, and IVIG unresponsiveness increase the risk for coronary aneurysms in Italian children with Kawasaki disease.

Authors:  Marianna Fabi; Laura Andreozzi; Ilaria Frabboni; Ada Dormi; Elena Corinaldesi; Francesca Lami; Cristina Cicero; Bertrand Tchana; Rosa Francavilla; Monica Sprocati; Barbara Bigucci; Claudia Balsamo; Paola Sogno Valin; Giorgia Di Fazzio; Lorenzo Iughetti; Enrico Valletta; Federico Marchetti; Andrea Donti; Marcello Lanari
Journal:  Clin Rheumatol       Date:  2020-09-16       Impact factor: 2.980

4.  Establishment of Kawasaki disease database based on metadata standard.

Authors:  Yu Rang Park; Jae-Jung Kim; Young Jo Yoon; Young-Kwang Yoon; Ha Yeong Koo; Young Mi Hong; Gi Young Jang; Soo-Yong Shin; Jong-Keuk Lee
Journal:  Database (Oxford)       Date:  2016-07       Impact factor: 3.451

5.  A comparison of efficacy of six prediction models for intravenous immunoglobulin resistance in Kawasaki disease.

Authors:  Weiguo Qian; Yunjia Tang; Wenhua Yan; Ling Sun; Haitao Lv
Journal:  Ital J Pediatr       Date:  2018-03-09       Impact factor: 2.638

Review 6.  The global epidemiology of Kawasaki disease: Review and future perspectives.

Authors:  Ming-Tai Lin; Mei-Hwan Wu
Journal:  Glob Cardiol Sci Pract       Date:  2017-10-31

Review 7.  Predictors of intravenous immunoglobulin-resistant Kawasaki disease in children: a meta-analysis of 4442 cases.

Authors:  Xuan Li; Ye Chen; Yunjia Tang; Yueyue Ding; Qiuqin Xu; Lin Sun; Weiguo Qian; Guanghui Qian; Liqiang Qin; Haitao Lv
Journal:  Eur J Pediatr       Date:  2018-06-08       Impact factor: 3.183

8.  The effectiveness of infliximab for Kawasaki disease in children: systematic review and meta-analysis.

Authors:  Dan Li; Xiaohui Li; Wenting Dou; Yang Zheng
Journal:  Transl Pediatr       Date:  2021-05

9.  A machine learning approach to predict intravenous immunoglobulin resistance in Kawasaki disease patients: A study based on a Southeast China population.

Authors:  Tengyang Wang; Guanghua Liu; Hongye Lin
Journal:  PLoS One       Date:  2020-08-27       Impact factor: 3.240

10.  Predictive model based on gene and laboratory data for intravenous immunoglobulin resistance in Kawasaki disease in a Chinese population.

Authors:  Li Meng; Zhen Zhen; Xiao-Hui Li; Yue Yuan; Qian Jiang; Wei Yao; Ming-Ming Zhang; Ai-Jie Li; Lin Shi
Journal:  Pediatr Rheumatol Online J       Date:  2021-06-26       Impact factor: 3.054

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