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Prediction of intravenous immunoglobulin resistance in Kawasaki disease in children

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Abstract

Background

We aimed to explore predictive measures for intravenous immunoglobulin (IVIG) resistance in children with Kawasaki disease (KD).

Methods

Patients diagnosed with KD were enrolled in this study. Univariate analysis and multiple logistic regression were utilized to analyze the clinical features and laboratory results prior to IVIG-treatment of the two groups. Independent predictors of IVIG resistance were analyzed, and a predictive model for KD children with IVIG resistance was constructed.

Results

A total of 277 children with KD, 180 boys and 97 girls, aged 2–128 (median 23) months, were enrolled in the study. Compared with the IVIG-responsive group, the IVIG-resistant group had higher levels of the peripheral neutrophil count, mean platelet volume, mean platelet volume-to-lymphocyte ratio and C-reactive protein, and total serum bilirubin, but lower levels of peripheral lymphocyte count, serum albumin and serum prealbumin. Age (in months), peripheral neutrophil count, lymphocyte count and mean platelet volume and serum albumin were independent indicators for IVIG resistance by multivariate logistic regression analysis. A logistic regression model and a scoring system were set up, where cut-off values of − 0.46 and 6.5 points yielded sensitivities of 83.9% and 77.4%, and specificities of 74.8% and 61.0%, respectively. The areas under the curve (AUC) were 0.808 in the logistic regression model, and 0.750 in the scoring system.

Conclusion

Our model for predicting IVIG-resistant children with KD, involving age (months), peripheral neutrophil count, lymphocyte count and mean platelet volume and serum albumin prior to IVIG-treatment, is helpful for clinical prediction of children with IVIG-resistant KD.

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References

  1. Singh S, Vignesh P, Burgner D. The epidemiology of Kawasaki disease: a global update. Arch Dis Child. 2015;100:1084–8.

    Google Scholar 

  2. Rowley AH, Shulman ST. The epidemiology and pathogenesis of Kawasaki disease. Front Pediatr. 2018;6:374.

    Google Scholar 

  3. Xie LP, Yan WL, Huang M, Huang MR, Chen S, Huang GY, et al. Epidemiologic features of Kawasaki disease in Shanghai from 2013 through 2017. J Epidemiol. 2019. https://doi.org/10.2188/jea.JE20190065.

    Article  Google Scholar 

  4. Phuong LK, Curtis N, Gowdie P, Akikusa J, Burgner D. Treatment options for resistant Kawasaki disease. Paediatr Drugs. 2018;20:59–80.

    Google Scholar 

  5. McCrindle BW, Rowley AH, Newburger JW, Burns JC, Bolger AF, Gewitz M, et al. Diagnosis, treatment, and long-term management of Kawasaki disease: a scientific statement for health professionals from the American Heart Association. Circulation. 2017;135:e927–e9.

    Google Scholar 

  6. Chen JJ, Ma XJ, Liu F, Yan WL, Huang MR, Huang M, et al. Epidemiologic features of Kawasaki disease in Shanghai from 2008 through 2012. Pediatr Infect Dis J. 2016;35:7–12.

    CAS  Google Scholar 

  7. Kim MK, Song MS, Kim GB. Factors predicting resistance to intravenous immunoglobulin treatment and coronary artery lesion in patients with Kawasaki disease: analysis of the Korean nationwide multicenter survey from 2012 to 2014. Korean Circ J. 2018;48:71–9.

    Article  CAS  Google Scholar 

  8. Makino N, Nakamura Y, Yashiro M, Kosami K, Matsubara Y, Ae R, et al. Nationwide epidemiologic survey of Kawasaki disease in Japan, 2015–2016. Pediatr Int. 2019;61:397–403.

    Article  Google Scholar 

  9. Skochko SM, Jain S, Sun X, Sivilay N, Kanegaye JT, Pancheri J, et al. Kawasaki disease outcomes and response to therapy in a multiethnic community: a 10-year experience. J Pediatr. 2018;203:e3.

    Google Scholar 

  10. Research Committee of the Japanese Society of Pediatric Cardiology, Cardiac Surgery Committee for Development of Guidelines for Medical Treatment of Acute Kawasaki D. Guidelines for medical treatment of acute Kawasaki disease: report of the Research Committee of the Japanese Society of Pediatric Cardiology and Cardiac Surgery (2012 revised version). Pediatr Int 2014;56:135–58.

  11. Hua W, Sun Y, Wang Y, Fu S, Wang W, Xie C, et al. A new model to predict intravenous immunoglobin-resistant Kawasaki disease. Oncotarget. 2017;8:80722–9.

    Google Scholar 

  12. Hu P, Jiang GM, Wu Y, Huang BY, Liu SY, Zhang DD, et al. TNF-alpha is superior to conventional inflammatory mediators in forecasting IVIG nonresponse and coronary arteritis in Chinese children with Kawasaki disease. Clin Chim Acta. 2017;471:76–80.

    CAS  Google Scholar 

  13. Li X, Chen Y, Tang Y, Ding Y, Xu Q, Sun L, et al. Predictors of intravenous immunoglobulin-resistant Kawasaki disease in children: a meta-analysis of 4442 cases. Eur J Pediatr. 2018;177:1279–92.

    Google Scholar 

  14. Kuo HC, Liang CD, Wang CL, Yu HR, Hwang KP, Yang KD. Serum albumin level predicts initial intravenous immunoglobulin treatment failure in Kawasaki disease. Acta Paediatr. 2010;99:1578–83.

    Google Scholar 

  15. Takeshita S, Kanai T, Kawamura Y, Yoshida Y, Nonoyama S. A comparison of the predictive validity of the combination of the neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio and other risk scoring systems for intravenous immunoglobulin (ivig)-resistance in Kawasaki disease. PLoS ONE. 2017;12:e0176957.

    Google Scholar 

  16. Kobayashi T, Inoue Y, Takeuchi K, Okada Y, Tamura K, Tomomasa T, et al. Prediction of intravenous immunoglobulin unresponsiveness in patients with Kawasaki disease. Circulation. 2006;113:2606–12.

    Google Scholar 

  17. Sano T, Kurotobi S, Matsuzaki K, Yamamoto T, Maki I, Miki K, et al. Prediction of non-responsiveness to standard high-dose gamma-globulin therapy in patients with acute Kawasaki disease before starting initial treatment. Eur J Pediatr. 2007;166:131–7.

    CAS  Google Scholar 

  18. Lin MT, Chang CH, Sun LC, Liu HM, Chang HW, Chen CA, et al. Risk factors and derived formosa score for intravenous immunoglobulin unresponsiveness in Taiwanese children with Kawasaki disease. J Formos Med Assoc. 2016;115:350–5.

    CAS  Google Scholar 

  19. Masuzawa Y, Mori M, Hara T, Inaba A, Oba MS, Yokota S. Elevated D-dimer level is a risk factor for coronary artery lesions accompanying intravenous immunoglobulin-unresponsive Kawasaki disease. Ther Apher Dial. 2015;19:171–7.

    CAS  Google Scholar 

  20. Kong WX, Ma FY, Fu SL, Wang W, Xie CH, Zhang YY, et al. Biomarkers of intravenous immunoglobulin resistance and coronary artery lesions in Kawasaki disease. World J Pediatr. 2019;15:168–75.

    CAS  Google Scholar 

  21. Tan XH, Zhang XW, Wang XY, He XQ, Fan C, Lyu TW, et al. A new model for predicting intravenous immunoglobin-resistant Kawasaki disease in Chongqing: a retrospective study on 5277 patients. Sci Rep. 2019;9:1722.

    Google Scholar 

  22. Tremoulet AH, Best BM, Song S, Wang S, Corinaldesi E, Eichenfield JR, et al. Resistance to intravenous immunoglobulin in children with Kawasaki disease. J Pediatr. 2008;153:117–21.

    CAS  Google Scholar 

  23. Bar-Meir M, Kalisky I, Schwartz A, Somekh E, Tasher D, Israeli KG. Prediction of resistance to intravenous immunoglobulin in children with Kawasaki disease. J Pediatric Infect Dis Soc. 2018;7:25–9.

    Google Scholar 

  24. Song R, Yao W, Li X. Efficacy of four scoring systems in predicting intravenous immunoglobulin resistance in children with Kawasaki disease in a children's hospital in Beijing. North China J Pediatr. 2017;184:120–4.

    Google Scholar 

  25. Qian W, Tang Y, Yan W, Sun L, Lv H. A comparison of efficacy of six prediction models for intravenous immunoglobulin resistance in Kawasaki disease. Ital J Pediatr. 2018;44:33.

    Google Scholar 

  26. Tang Y, Yan W, Sun L, Huang J, Qian W, Ding Y, et al. Prediction of intravenous immunoglobulin resistance in Kawasaki disease in an east China population. Clin Rheumatol. 2016;35:2771–6.

    Google Scholar 

  27. Yang S, Song R, Zhang J, Li X, Li C. Predictive tool for intravenous immunoglobulin resistance of Kawasaki disease in Beijing. Arch Dis Child. 2019;104:262–7.

    Google Scholar 

  28. Fu PP, Du ZD, Pan YS. Novel predictors of intravenous immunoglobulin resistance in Chinese children with Kawasaki disease. Pediatr Infect Dis J. 2013;32:e319–e23.

    Google Scholar 

  29. Newburger JW, Takahashi M, Gerber MA, Gewitz MH, Tani LY, Burns JC, et al. Diagnosis, treatment, and long-term management of Kawasaki disease: a statement for health professionals from the committee on rheumatic fever, endocarditis and Kawasaki Disease, council on Cardiovascular Disease in the Young. Am Heart Assoc Circ. 2004;110:2747–71.

    Google Scholar 

  30. Kobayashi T, Fuse S, Sakamoto N, Mikami M, Ogawa S, Hamaoka K, et al. A new Z score curve of the coronary arterial internal diameter using the Lambda-Mu-Sigma method in a pediatric population. J Am Soc Echocardiogr. 2016;29:794–801.e29.

    Google Scholar 

  31. Salgado AP, Ashouri N, Berry EK, Sun X, Jain S, Burns JC, et al. High risk of coronary artery aneurysms in infants younger than 6 months of age with Kawasaki disease. J Pediatr. 2017;185:e1.

    Google Scholar 

  32. Zahorec R. Ratio of neutrophil to lymphocyte counts–rapid and simple parameter of systemic inflammation and stress in critically ill. Bratisl Lek Listy. 2001;102:5–14.

    CAS  Google Scholar 

  33. Kawamura Y, Takeshita S, Kanai T, Yoshida Y, Nonoyama S. The combined usefulness of the neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios in predicting intravenous immunoglobulin resistance with Kawasaki disease. J Pediatr. 2016;178:e1.

    Google Scholar 

  34. Chen Y, Hua Y, Zhang C, Chen S, Zhang Q, Liao Y, et al. Neutrophil-to-lymphocyte ratio predicts intravenous immunoglobulin-resistance in infants under 12-months old with Kawasaki disease. Front Pediatr. 2019;7:81.

    CAS  Google Scholar 

  35. Ashouri N, Takahashi M, Dorey F, Mason W. Risk factors for nonresponse to therapy in Kawasaki disease. J Pediatr. 2008;153:365–8.

    Google Scholar 

  36. Soeters PB, Wolfe RR, Shenkin A. Hypoalbuminemia: pathogenesis and clinical significance. JPEN J Parenter Enteral Nutr. 2019;43:181–93.

    CAS  Google Scholar 

  37. Yasukawa K, Terai M, Shulman ST, Toyozaki T, Yajima S, Kohno Y, et al. Systemic production of vascular endothelial growth factor and fms-like tyrosine kinase-1 receptor in acute Kawasaki disease. Circulation. 2002;105:766–9.

    CAS  Google Scholar 

  38. Terai M, Honda T, Yasukawa K, Higashi K, Hamada H, Kohno Y. Prognostic impact of vascular leakage in acute Kawasaki disease. Circulation. 2003;108:325–30.

    Google Scholar 

  39. Korniluk A, Koper-Lenkiewicz OM, Kaminska J, Kemona H, Dymicka-Piekarska V. Mean platelet volume (MPV): new perspectives for an old marker in the course and prognosis of inflammatory conditions. Mediators Inflamm. 2019;2019:9213074.

    Google Scholar 

  40. Chu SG, Becker RC, Berger PB, Bhatt DL, Eikelboom JW, Konkle B, et al. Mean platelet volume as a predictor of cardiovascular risk: a systematic review and meta-analysis. J Thromb Haemost. 2010;8:148–56.

    CAS  Google Scholar 

  41. Sansanayudh N, Muntham D, Yamwong S, Sritara P, Akrawichien T, Thakkinstian A. The association between mean platelet volume and cardiovascular risk factors. Eur J Inter Med. 2016;30:37–42.

    Google Scholar 

  42. Kurtul A, Acikgoz SK. Usefulness of mean platelet volume-to-lymphocyte ratio for predicting angiographic no-reflow and short-term prognosis after primary percutaneous coronary intervention in patients with ST-segment elevation myocardial infarction. Am J Cardiol. 2017;120:534–41.

    Google Scholar 

  43. Hudzik B, Szkodziński J, Lekston A, Gierlotka M, Poloński L, Gąsior M. Mean platelet volume-to-lymphocyte ratio: a novel marker of poor short- and long-term prognosis in patients with diabetes mellitus and acute myocardial infarction. J Diabetes Complic. 2016;30:1097–102.

    Google Scholar 

  44. Wang Z, Ren L, Liu N, Peng J. Utility of hematological parameters in predicting no-reflow phenomenon after primary percutaneous coronary intervention in patients with ST-segment elevation myocardial infarction. Clin Appl Thromb Hemost. 2018;24:1177–83.

    Google Scholar 

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Funding

The work was supported by Peking University Clinical Scientist Program (BMU2019LCKXJ001), and Fundamental Research for the Central Universities.

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Authors

Contributions

All authors contributed to all study data, revised and approved the final version of the manuscript. SW and JD designed the study, SW, YL, YS, CZ, HY, QZ, JQ, YC, XL, YW and JD acquired the data. SW, XL, HJ and JD analyzed the data, SW, HJ and JD drafted the manuscript.

Corresponding author

Correspondence to Jun-Bao Du.

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Ethical approval

This study was approved by the Regional Ethics Committee of Peking University, First Hospital.

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No financial or non- financial benefits have been received or will be received from any party related directly or indirectly to the subject of this article.

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Wu, S., Liao, Y., Sun, Y. et al. Prediction of intravenous immunoglobulin resistance in Kawasaki disease in children. World J Pediatr 16, 607–613 (2020). https://doi.org/10.1007/s12519-020-00348-2

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