To investigate the early predictive factors for Kawasaki disease complicated with macrophage activation syndrome (KD-MAS)
We performed a retrospective case-control study in children with KD from August 2017 to August 2022, involving 28 cases with KD-MAS and 112 cases not developing KD-MAS. Based on the univariate analysis, binary logistic regression was used to identify the early predictive factors for KD-MAS development, and the receiver operating characteristic curve (ROC) analysis was carried out to obtain the optimal cut-off value.
Two predictive factors were associated with the development of KD-MAS, which were PLT (
Children with KD who had a PLT count under 110 × 109/L, and a serum ferritin level over 548.4 ng/ml are more likely to develop KD-MAS.