Guidelines for Diagnosis and Management of Cardiovascular Sequelae in Kawasaki Disease (JCS 2013)

Kawasaki disease is an acute self-limited vasculitis of childhood that is characterized by fever, bilateral nonexudative conjunctivitis, erythema of the lips and oral mucosa, changes in the extremities, rash, and cervical lymphadenopathy. Coronary artery aneurysms or ectasia develop in approximately 15% to 25% of untreated children and may lead to ischemic heart disease or sudden death. A multidisciplinary committee of experts was convened to revise the American Heart Association recommendations for diagnosis, treatment, and long-term management of Kawasaki disease. The writing group proposes a new algorithm to aid clinicians in deciding which children with fever for > or =5 days and < or =4 classic criteria should undergo echocardiography, receive intravenous gamma globulin (IVIG) treatment, or both for Kawasaki disease. The writing group reviews the available data regarding the initial treatment for children with acute Kawasaki disease, as well for those who have persistent or recrudescent fever despite initial therapy with IVIG, including IVIG retreatment and treatment with corticosteroids, tumor necrosis factor-alpha antagonists, and abciximab. Long-term management of patients with Kawasaki disease is tailored to the degree of coronary involvement; recommendations regarding antiplatelet and anticoagulant therapy, physical activity, follow-up assessment, and the appropriate diagnostic procedures to evaluate cardiac disease are classified according to risk strata. Recommendations for the initial evaluation, treatment in the acute phase, and long-term management of patients with Kawasaki disease are intended to assist physicians in understanding the range of acceptable approaches for caring for patients with Kawasaki disease. The ultimate decisions for case management must be made by physicians in light of the particular conditions presented by individual patients.

In the present study, we developed models to predict unresponsiveness to intravenous immunoglobulin (IVIG) in Kawasaki disease (KD). We reviewed clinical records of 546 consecutive KD patients (development dataset) and 204 subsequent KD patients (validation dataset). All received IVIG for treatment of KD. IVIG nonresponders were defined by fever persisting beyond 24 hours or recrudescent fever associated with KD symptoms after an afebrile period. A 7-variable logistic model was constructed, including day of illness at initial treatment, age in months, percentage of white blood cells representing neutrophils, platelet count, and serum aspartate aminotransferase, sodium, and C-reactive protein, which generated an area under the receiver-operating-characteristics curve of 0.84 and 0.90 for the development and validation datasets, respectively. Using both datasets, the 7 variables were used to generate a simple scoring model that gave an area under the receiver-operating-characteristics curve of 0.85. For a cutoff of 0.15 or more in the logistic regression model and 4 points or more in the simple scoring model, sensitivity and specificity were 86% and 67% in the logistic model and 86% and 68% in the simple scoring model. The kappa statistic is 0.67, indicating good agreement between the logistic and simple scoring models. Our predictive models showed high sensitivity and specificity in identifying IVIG nonresponders among KD patients.

The objective of this study was to find the predictors and generate a prediction score of resistance to intravenous immunoglobulin (IVIG) in patients with Kawasaki disease (KD). Patients diagnosed as having KD were sampled when they received initial high-dose IVIG treatment (2 g/kg dose) within 9 days of illness (n = 320). These patients were divided into 2 groups: the resistance (n = 41) and the responder (n = 279). The following data were obtained and compared between resistance and responder: age, sex, illness days at initial treatment, and laboratory data. Multivariate logistic regression analysis identified age, illness days, platelet count, alanine aminotransferase (ALT), and C-reactive protein (CRP) as significant predictors for resistance to IVIG. We generated prediction score assigning 1 point for (1) infants less than 6 months old, (2) before 4 days of illness, (3) platelet count or= 8 mg/dL, as well as 2 points for (5) ALT >or= 80 IU/L. Using a cut-off point of 3 and more with this prediction score, we could identify the IVIG-resistant group with 78% sensitivity and 76% specificity. Resistance to IVIG treatment can be predicted using age, illness days, platelet count, ALT, and CRP. Randomized, multicenter clinical trials are necessary to create a new strategy to treat these high-risk patients.