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Kawasaki Disease: Predictors of Intravenous Immunoglobulin Resistance and Cardiac Complications: New Perspectives?

Keywords
Mucocutaneous Lymph Node Syndrome/trends; Kawasaki Disease; Coronary Artery/abnormalities; Vasculitis; Children; Immunoglobulins, Intravenous; Drug Resistance

Kawasaki disease (KD) is an acute inflammatory disease of unknown origin and associated with vasculitis. It affects medium-sized vessels. Coronary artery abnormalities (CAA) — aneurysms or dilations — are the main complications of KD, and are currently the most common cause of heart disease acquired in children in developed countries. In the acute phase, the initial standard treatment recommended is intravenous immunoglobulin (IVIG) and aspirin, to reduce the risk of damage to the coronary arteries.11. 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(17): 927-99. However, 10 to 20% of children with KD do not respond to the initial standard treatment, with recurrent fever within 36 to 48 hours after IVIG infusion. Studies show that the likelihood of KD patients resistant to IVIG to have coronary artery lesions is nine times greater than those sensitive to IVIG. This suggests that there is a critical window to block the inflammatory process and prevent CAA in the long term.22. Campbell AJ, Burns JC. Adjunctive therapies for Kawasaki disease. J Inf Secur. 2016; 72(Suppl):S1-S5.

The study by Faim et al.33. Faim D, Henriques c, Brett A,Francisco A, Rodrigues F, Pires A. et al. Doença de Kawasaki: Preditores de resistência à imunoglobulina intravenosa e complicações cardíacas. Arq Bras Cardiol. 2021; 116(3):485-491. aimed to identify predictive factors for resistance to intravenous immunoglobulin (IVIG), calculate the effectiveness of Japanese predictive models and characterize the cardiac complications of patients followed up at a single institution.33. Faim D, Henriques c, Brett A,Francisco A, Rodrigues F, Pires A. et al. Doença de Kawasaki: Preditores de resistência à imunoglobulina intravenosa e complicações cardíacas. Arq Bras Cardiol. 2021; 116(3):485-491.

Of the 48 KD patients included in the study between 2006 and 2018, 17% were diagnosed with atypical KD. All had fever on the day of admission, with a median of five days, and all were treated in the acute phase with IVIG and aspirin, with a median of 6.5 days. Resistance to IVIG has been described in 9 cases (21%), one of which of atypical KD. These findings are consistent with literature data.44. Dietz SM, Stijn Dv, Burgner D,Levin M, Kuipers M, Hutten BA, et al. Dissecting Kawasaki disease: a state-of-the-art review. Eur J Pediatr. 2017; 176(8):995-1009. DOI 10.1007/s00431-017-2937-5.
https://doi.org/10.1007/s00431-017-2937-...

For the early identification of patients resistant to IVIG and to enable the early introduction of other treatment strategies, studies have been carried out trying to establish clinical and laboratory criteria that predict IVIG resistance, such as age, albumin dosage, transaminases, hemoglobin, C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), platelets, bilirubins, sodium, and others.44. Dietz SM, Stijn Dv, Burgner D,Levin M, Kuipers M, Hutten BA, et al. Dissecting Kawasaki disease: a state-of-the-art review. Eur J Pediatr. 2017; 176(8):995-1009. DOI 10.1007/s00431-017-2937-5.
https://doi.org/10.1007/s00431-017-2937-...
In the study, the authors constructed ROC curves to find predictive factors for resistance and developed a predictive model using multivariate logistic regression. Analyzing the predictive variables of resistance, CRP presented an AUC ROC = 0.789, cut-off point = 15.1 mg/dL, sensitivity (S) = 77.8% and specificity (E) = 78.9%. The ESR presented an AUC ROC = 0.781, a cut-off point = 90.5 mm/h, S = 66.7% and E = 85.7%. The predictive model with the two variables showed p = 0.042 and AUC ROC = 0.790.

Literature data are controversial regarding the use of ESR as a predictor of IVIG resistance. In a meta-analysis, Baeck et al.,55. Baek JY, Song MS. Meta-analysis of predictive factors of IVIG resistance in Kawasaki disease. Korean J Pediatr. 2016; 59(2):80-90. aiming to identify laboratory factors predictive of IVIG resistance, included twelve studies published between 2006 and 2014, analyzing 2,745 patients. Of these, seven studies calculated the ESR effect size as a predictive factor of IVIG-resistant KD. Heterogeneity between these studies was low (Q (6) = 11.001, P>0.001, I2 = 45.459) and the meta-analysis found that the effect size was small for ESR (random effects, 0.150).55. Baek JY, Song MS. Meta-analysis of predictive factors of IVIG resistance in Kawasaki disease. Korean J Pediatr. 2016; 59(2):80-90.

In a meta-analysis performed by Xuan Li et al., analyzing 28 studies involving 26,260 patients, about 4,442 patients were diagnosed with IVIG-resistant KD and 21,818 patients were diagnosed with IVIG-sensitive KD. The meta-analysis showed that ESR in the IVIG-resistant group was significantly higher than in the IVIG-sensitive group. However, the strong association between ESR and KD was demonstrated only in two studies in a Chinese population. The same findings were not shown in Koreans, Japanese and non-Asians. The other studies had a weak association between ESR and IVIG resistance.66. Xuan Li, Ye Chen, Yunjia Tang, yueyue D, Oiugin X, Oian W,et al. Predictors of intravenous immunoglobulin-resistant Kawasaki disease in children: a meta-analysis of 4.442 cases. Eur J Pediatr.2018;177:279-92.

The guideline on Kawasaki disease published in 2017 by the American Heart Association,11. 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(17): 927-99. points out that the ESR increases with IVIG and should not be used to assess therapeutic response, and persistently high ESR should not be interpreted as a sign of resistance to IVIG therapy (Class III, LE: C).

Therefore, we must carefully analyze the use of ESR as an independent risk predictor for IVIG resistance in the non-Asian population.

The three models of risk scores developed, namely Kobaysahi et al.,77. 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. Sano et al.88. Sano T, Kurotobi S, Matsuzaki K, Yamamoto T, Tamura K, Tomomasa T, et al. Prediction of non-responsiveness to stan- dard high-dose gamma-globulin therapy in patients with acute Kawasaki disease before starting initial treatment. Eur J Pediatr. 2007; 166(2):131-7. and Egami et al.,99. Egami K, Muta H, Ishii M, Sud k, sUGhR Y, Iemura M, et al. Prediction of resistance to intravenous immu- noglobulin treatment in patients with Kawasaki disease. J Pediatr. 2006;149:237-40. validated for the Japanese population,77. 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;113:2606-12.99. Egami K, Muta H, Ishii M, Sud k, sUGhR Y, Iemura M, et al. Prediction of resistance to intravenous immu- noglobulin treatment in patients with Kawasaki disease. J Pediatr. 2006;149:237-40. do not work properly in western, ethnically mixed and Chinese populations.1010. Davies S, Sutton N, Blackstock S, Gormley S, Hoggart C, Levin M, et al. Predicting IVIG resistance in UK Kawasaki disease. Arch Dis Child. 2015; 100(2):366-8.1414. 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. 2016; 184:120-4. A similar situation was observed by Faim et al.,33. Faim D, Henriques c, Brett A,Francisco A, Rodrigues F, Pires A. et al. Doença de Kawasaki: Preditores de resistência à imunoglobulina intravenosa e complicações cardíacas. Arq Bras Cardiol. 2021; 116(3):485-491. where the respective models validated in Japan did not perform well either.33. Faim D, Henriques c, Brett A,Francisco A, Rodrigues F, Pires A. et al. Doença de Kawasaki: Preditores de resistência à imunoglobulina intravenosa e complicações cardíacas. Arq Bras Cardiol. 2021; 116(3):485-491.

It is worth noting that in the study by Faim et al. about 25% of the patients had coronary involvement, 40% of them had aneurysm formation, in addition to other cardiovascular complications. CAA and other cardiovascular complications in the acute phase, including myocarditis, cardiogenic shock and pericardial effusion, are described in the literature.11. 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(17): 927-99.,22. Campbell AJ, Burns JC. Adjunctive therapies for Kawasaki disease. J Inf Secur. 2016; 72(Suppl):S1-S5.,44. Dietz SM, Stijn Dv, Burgner D,Levin M, Kuipers M, Hutten BA, et al. Dissecting Kawasaki disease: a state-of-the-art review. Eur J Pediatr. 2017; 176(8):995-1009. DOI 10.1007/s00431-017-2937-5.
https://doi.org/10.1007/s00431-017-2937-...

Regardless of the size of the sample analyzed and its retrospective nature, the study findings are comparable to literature data, demonstrating the complexity of the disease and the need for further research aiming to define the best predictive model of IVIG resistance and potentially reduce the main KD complication.

  • Short editorial related to the article: Kawasaki Disease: Predictors of Resistance to Intravenous Immunoglobulin and Cardiac Complications

Referências

  • 1
    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(17): 927-99.
  • 2
    Campbell AJ, Burns JC. Adjunctive therapies for Kawasaki disease. J Inf Secur. 2016; 72(Suppl):S1-S5.
  • 3
    Faim D, Henriques c, Brett A,Francisco A, Rodrigues F, Pires A. et al. Doença de Kawasaki: Preditores de resistência à imunoglobulina intravenosa e complicações cardíacas. Arq Bras Cardiol. 2021; 116(3):485-491.
  • 4
    Dietz SM, Stijn Dv, Burgner D,Levin M, Kuipers M, Hutten BA, et al. Dissecting Kawasaki disease: a state-of-the-art review. Eur J Pediatr. 2017; 176(8):995-1009. DOI 10.1007/s00431-017-2937-5.
    » https://doi.org/10.1007/s00431-017-2937-5
  • 5
    Baek JY, Song MS. Meta-analysis of predictive factors of IVIG resistance in Kawasaki disease. Korean J Pediatr. 2016; 59(2):80-90.
  • 6
    Xuan Li, Ye Chen, Yunjia Tang, yueyue D, Oiugin X, Oian W,et al. Predictors of intravenous immunoglobulin-resistant Kawasaki disease in children: a meta-analysis of 4.442 cases. Eur J Pediatr.2018;177:279-92.
  • 7
    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.
  • 8
    Sano T, Kurotobi S, Matsuzaki K, Yamamoto T, Tamura K, Tomomasa T, et al. Prediction of non-responsiveness to stan- dard high-dose gamma-globulin therapy in patients with acute Kawasaki disease before starting initial treatment. Eur J Pediatr. 2007; 166(2):131-7.
  • 9
    Egami K, Muta H, Ishii M, Sud k, sUGhR Y, Iemura M, et al. Prediction of resistance to intravenous immu- noglobulin treatment in patients with Kawasaki disease. J Pediatr. 2006;149:237-40.
  • 10
    Davies S, Sutton N, Blackstock S, Gormley S, Hoggart C, Levin M, et al. Predicting IVIG resistance in UK Kawasaki disease. Arch Dis Child. 2015; 100(2):366-8.
  • 11
    Loomba RS, Raskin A, Gudausky TM, Kirkpatrick E. Role of the Egami score in predicting intravenous immunoglobulin resistance in Kawasaki disease among different ethnicities. Am J Ther. 2016; 23(6):e1293-e1299.
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    Sanchez-Manubens J, Anton J, Bou R, Iglesias E, Calzada-Hernandez J, Borlan S, et al. Kawasaki Disease in Catalonia Working G. Role of the Egami score to predict immunoglobulin resistance in Kawasaki disease among a Western Mediterranean population. Rheumatol Int. 2016; 36(7):905-10.
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    Sleeper LA, Minich LL, McCrindle BM, Li JS, Mason W, Colan SD, et al. Pediatric Heart Network I. Evaluation of Kawasaki disease risk-scoring systems for intravenous immunoglobulin resistance. J Pediatr. 2011; 158(5):831-35 e833.
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    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. 2016; 184:120-4.

Publication Dates

  • Publication in this collection
    23 Apr 2021
  • Date of issue
    Mar 2021
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