Failure to Predict High-Risk Kawasaki Disease Patients in a Population-Based Study Cohort in Germany. – PubMed – NCBI

Jakob A, von Kries R, Horstmann 3, Hufnagel M, Stiller B, Berner R, Schachinger E, Meyer K, Obermeier V.

February 2018

This paper considers whether Kobayashi, Egami and Sano scores or application of up-to-date statistical methods (Random Forest) predict responses to standard IVIG therapy and the risk of persistent CAA in patients with KD in a mainly Caucasian population in Germany.

Access this research