Literature DB >> 23773640

Inflammatory cytokines as predictors of resistance to intravenous immunoglobulin therapy in Kawasaki disease patients.

Satoshi Sato1, Hisashi Kawashima, Yasuyo Kashiwagi, Akinori Hoshika.   

Abstract

OBJECTIVES: Kawasaki disease (KD) is an acute systemic vasculitis. Activation of the immune system is a central feature of KD. Some KD patients are resistant to initial high-dose intravenous immunoglobulin (IVIG) treatment. The study aimed to determine the predictors of IVIG resistance.
METHOD: A single-center, retrospective study was conducted using data from 129 patients diagnosed with KD. Two groups of patients emerged within the IVIG-treated population (105 patients): an IVIG responder group (n = 84) and an IVIG-resistant group (n = 21). Laboratory data and patient characteristics were compared between the two groups.
RESULTS: The average serum interleukin (IL)-6 level was 102.7 ± 97.4 pg/mL in the IVIG responder group and 207.7 ± 127.1 pg/mL in the IVIG resistant group (P < 0.01). C-reactive protein (CRP) levels and neutrophil percentages were significantly elevated in the IVIG resistant group. Multivariate logistic regression analysis identified that a prediction score could be generated by assigning two points to neutrophil percentages ≥ 75%, and either two points for an IL-6 level ≥ 140 pg/mL or one point for an IL-6 level ≥ 70 pg/mL but < 140 pg/mL. A cut-off score of ≥ three allowed identification of IVIG-resistant patients with an 85% sensitivity and 77% specificity.
CONCLUSIONS: Resistance to IVIG therapy is characterized by elevated levels of IL-6, CRP and percentages of circulating neutrophils. Resistance to IVIG treatment can be predicted using a scoring system involving IL-6 and percentages of neutrophils.
© 2013 The Authors International Journal of Rheumatic Diseases © 2013 Asia Pacific League of Associations for Rheumatology and Wiley Publishing Asia Pty Ltd.

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Year:  2013        PMID: 23773640     DOI: 10.1111/1756-185X.12082

Source DB:  PubMed          Journal:  Int J Rheum Dis        ISSN: 1756-1841            Impact factor:   2.454


  27 in total

1.  Prediction of intravenous immunoglobulin resistance in Kawasaki disease in an East China population.

Authors:  Yunjia Tang; Wenhua Yan; Ling Sun; Jie Huang; Weiguo Qian; Yueyue Ding; Haitao Lv
Journal:  Clin Rheumatol       Date:  2016-08-05       Impact factor: 2.980

2.  Early Appearance of Principal Symptoms of Kawasaki Disease is a Risk Factor for Intravenous Immunoglobulin Resistance.

Authors:  Miyu Tajima; Yusuke Shiozawa; Jiro Kagawa
Journal:  Pediatr Cardiol       Date:  2015-03-10       Impact factor: 1.655

3.  Immunoglobulin Resistance in Kawasaki Disease.

Authors:  Georgios A Hartas; Syed Shahrukh Hashmi; Chi Pham-Peyton; Emmanouil Tsounias; John T Bricker; Monesha Gupta-Malhotra
Journal:  Pediatr Allergy Immunol Pulmonol       Date:  2015-03-01       Impact factor: 1.349

4.  A comparison of serum IL6 and CRP levels with respect to coronary changes and treatment response in Kawasaki disease patients: a prospective study.

Authors:  Alolika Nandi; Priyankar Pal; Surupa Basu
Journal:  Rheumatol Int       Date:  2019-07-13       Impact factor: 2.631

5.  [Association of liver damage with coronary artery lesion and no response to intravenous immunoglobulin in the acute stage of Kawasaki disease].

Authors:  Hui-Min Hu; Xiao-Zheng Chen; Yong-Lan Zhang; Zhong-Dong DU
Journal:  Zhongguo Dang Dai Er Ke Za Zhi       Date:  2022-06-15

6.  Predicting Intravenous Immunoglobulin Resistance Among North American Children Hospitalized With Kawasaki Disease.

Authors:  Jasdip Singh; Arthur Chang; Nicholas M Fusco; Mark Hicar
Journal:  J Pediatr Pharmacol Ther       Date:  2022-09-26

7.  The prognostic role of abnormal liver function in IVIG unresponsiveness in Kawasaki disease: a meta-analysis.

Authors:  Ling Liu; Wei Yin; Ruigeng Wang; Dongming Sun; Xuelian He; Yan Ding
Journal:  Inflamm Res       Date:  2015-12-08       Impact factor: 4.575

8.  Pro-brain natriuretic peptide (ProBNP) levels in North Indian children with Kawasaki disease.

Authors:  Mounika Reddy; Surjit Singh; Amit Rawat; Avinash Sharma; Deepti Suri; Manoj Kumar Rohit
Journal:  Rheumatol Int       Date:  2016-02-05       Impact factor: 2.631

Review 9.  Critical Overview of the Risk Scoring Systems to Predict Non-Responsiveness to Intravenous Immunoglobulin in Kawasaki Syndrome.

Authors:  Donato Rigante; Laura Andreozzi; Michele Fastiggi; Benedetta Bracci; Marco Francesco Natale; Susanna Esposito
Journal:  Int J Mol Sci       Date:  2016-02-24       Impact factor: 5.923

10.  CDCP1 on Dendritic Cells Contributes to the Development of a Model of Kawasaki Disease.

Authors:  Yu Lun; Nozha Borjini; Noriko N Miura; Naohito Ohno; Nora G Singer; Feng Lin
Journal:  J Immunol       Date:  2021-06-07       Impact factor: 5.426

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