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Evaluating patients with Kawasaki disease: can the systemic immune inflammation index predict coronary involvement?

Published online by Cambridge University Press:  14 October 2025

Merve Korkut Oğuz Open the ORCID record for Merve Korkut Oğuz [Opens in a new window] ,
Dolunay Gürses Open the ORCID record for Dolunay Gürses [Opens in a new window] ,
Münevver Yılmaz Open the ORCID record for Münevver Yılmaz [Opens in a new window]  and
Emine Sayın
Merve Korkut Oğuz*
Affiliation:
Pediatric Cardiology, Pamukkale University School of Medicine, Denizli, Türkiye
Dolunay Gürses
Affiliation:
Pediatric Cardiology, Pamukkale University School of Medicine, Denizli, Türkiye
Münevver Yılmaz
Affiliation:
Pediatric Cardiology, Pamukkale University School of Medicine, Denizli, Türkiye
Emine Sayın
Affiliation:
Pediatric Cardiology, Pamukkale University School of Medicine, Denizli, Türkiye
*
Corresponding author: Merve Korkut Oğuz; Email: mrvkorkutoguz@gmail.com
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Abstract

Kawasaki disease is a self-limiting vasculitis of unknown aetiology, and coronary artery lesions are its most common and serious complication. The Systemic Immune-Inflammation Index is a new biomarker of inflammation that may have prognostic value in Kawasaki disease. This study evaluated patients with Kawasaki disease and the prognostic role of Systemic Immune-Inflammation Index in coronary involvement. A total of 62 children with Kawasaki disease and 49 healthy controls were included. Systemic Immune-Inflammation Index was calculated as: neutrophils × platelets/lymphocytes). Systemic Immune-Inflammation Index was also significantly higher in Kawasaki disease patients than controls (2373 ± 2040 vs. 300 ± 218, p < 0.001). Subgroup analysis of the Kawasaki disease patients showed that Systemic Immune-Inflammation Index was significantly higher in patients with coronary artery lesions than in those without (p < 0.05). In conclusion, Systemic Immune-Inflammation Index is a composite inflammatory biomarker easily obtained from routine blood parameters and may be an independent predictor of coronary artery involvement in Kawasaki disease.

Keywords

KawasakiSystemic Immune-Inflammation Indexcoronary involvement

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Type
Original Article
Information
Cardiology in the Young , First View , pp. 1 - 5
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© The Author(s), 2025. Published by Cambridge University Press

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References

Agarwal, S, Agrawal, DK. Kawasaki disease: etiopathogenesis and novel treatment strategies. Expert Rev Clin Immunol 2017; 13: 247–258.CrossRefGoogle ScholarPubMed
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: 281.CrossRefGoogle ScholarPubMed
Liu, X, Zhou, K, Hua, Y, et al. Prospective evaluation of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio for intravenous immunoglobulin resistance in a large cohort of Kawasaki disease patients. Pediatr Infect Dis J 2020; 39: 229–231.CrossRefGoogle Scholar
Yang, YL, Wu, CH, Hsu, PF, et al. Systemic immune-inflammation index (SII) predicted clinical outcome in patients with coronary artery disease. Eur J Clin Invest 2020; 50: e13230.CrossRefGoogle ScholarPubMed
McCrindle, BW, Rowley, AH, Newburger, JW, 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–e999.CrossRefGoogle ScholarPubMed
Türkuçar, S, Kaya, Ü.A, Çakmak, F, et al. Risk factors for coronary arterial involvement in Turkish children with Kawasaki disease: a multicenter retrospective study. Turk J Pediatr 2023; 65: 64–72.CrossRefGoogle ScholarPubMed
Newburger, JW, Takahashi, M, Burns, JC, et al. The treatment of Kawasaki syndrome with intravenous gamma globulin. N Engl J Med 1986; 315: 341–347.CrossRefGoogle ScholarPubMed
Chiang, WN, Huang, PY, Kuo, HC, Huang, YH, Chang, LS. Evaluation of Formosa score and diagnostic sensitivity and specificity of four Asian risk scores for predicting intravenous immunoglobulin resistance in Kawasaki disease: a bivariate meta-analysis. Front Cardiovasc Med 2023; 10: 1164530.CrossRefGoogle ScholarPubMed
Takeshita, S, Kanai, T, Kawamura, Y, Yoshida, Y, Nonoyama, S, Bayry, J. 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.CrossRefGoogle ScholarPubMed
Hwang, SY, Shin, TG, Jo, IJ, et al. Neutrophil-to-lymphocyte ratio as a prognostic marker in critically-ill septic patients? Am J Emerg Med 2016; 35: 234–239.CrossRefGoogle ScholarPubMed
Newburger, JW, Takahashi, M, Gerber, MA, et al. Diagnosis, treatment, and longterm 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, American Heart Association. Circulation 2004; 110: 2747–2771.CrossRefGoogle Scholar
Chen, J, Liu, Y, Liu, W, Wu, Z. A meta-analysis of the biomarkers associated with coronary artery lesions secondary to Kawasaki disease in Chinese children. J Huazhong Univ Sci Technolog Med Sci 2011; 31: 705–711.CrossRefGoogle ScholarPubMed
Korniluk, A, Koper-Lenkiewicz, OM, Kamińska, 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; 17: 9213074.Google Scholar
Zheng, X, Wu, W, Zhang, Y, Wu, G. Changes in and significance of platelet function and parameters in Kawasaki disease. Sci Rep 2019; 27: 17641.CrossRefGoogle Scholar
Liu, R, Gao, F, Huo, J, Yi, Q. Study on the relationship between mean platelet volume and platelet distribution width with coronary artery lesion in children with Kawasaki disease. Platelets 2012; 23: 11–16.CrossRefGoogle Scholar
Okan, T, Doruk, M, Ozturk, A, Topaloglu, C, Dogdus, M, Yilmaz, MB. Evaluation of plasma atherogenic index, triglyceride-glucose index and other lipid ratios as predictive biomarkers of coronary artery disease in different age groups. Diagnostics 2024; 14: 1495.CrossRefGoogle ScholarPubMed
Tsilimigras, DI, Moris, D, Mehta, R, et al. The systemic immune-inflammation index predicts prognosis in intrahepatic cholangiocarcinoma: an international multi-institutional analysis. HPB 2020; 22: 1667–1674.CrossRefGoogle ScholarPubMed
Dindas, F, Koyun, E, Turkyilmaz, E, et al. Systemic immune inflammation index is a novel marker in predicting the presence and severity of isolated coronary artery ectasia. Arq Bras Cardiol 2023; 120: e20220056.CrossRefGoogle ScholarPubMed
Dogdus, M, Dindas, F, Yenercag, M, et al. The role of systemic immune inflammation index for predicting saphenous vein graft disease in patients with coronary artery bypass grafting. Angiology 2023; 74: 579–586.CrossRefGoogle ScholarPubMed
Ermurat, S, Tezcan, D. Sistemik Lupus Eritematozus Hastalarında İnflamasyon Belirteci ve Yüksek Hastalık Aktivite Göstergeleri Olarak Yeni Hematolojik İndeksler. Uludağ Tıp Derg 2022; 48: 189–196.CrossRefGoogle Scholar
Yalcinkaya, R, Öz, FN, Durmuş, SY, et al. Is there a role for laboratory parameters in predicting coronary artery involvement in kawasaki disease? Klin Padiatr 2022; 234: 382–387.Google Scholar
Huang, T, Peng, Q, Zhang, Y, Zhu, Z, Fan, X. The systemic immune-inflammation index (SII) and coronary artery lesions in Kawasaki disease. Clin Exp Med 2024; 24 ( 1 ): 4.CrossRefGoogle ScholarPubMed