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Table 3 Prediction score models in patients with IVIG resistance

From: A comparison of efficacy of six prediction models for intravenous immunoglobulin resistance in Kawasaki disease

Prediction models Category Response to IVIG Sensitivity Specificity PPV NPV Area under the ROC curve 95% CI
Resistant Responsive
Kobayashi High risk 18 184 0.72 0.62 0.09 0.98 0.74 0.65–0.84
Low risk 7 295
Egami High risk 11 88 0.44 0.82 0.11 0.97 0.70 0.59–0.81
Low risk 14 391
Kawamuraa High risk 10 140 0.48 0.66 0.07 0.96 0.58 0.45–0.71
Low risk 11 267
Sano High risk 5 43 0.20 0.91 0.10 0.96 0.58 0.46–0.70
Low risk 20 436
Formosa High risk 17 248 0.68 0.48 0.06 0.97 0.58 0.48–0.68
Low risk 8 231
Ours High risk 18 120 0.72 0.75 0.13 0.98 0.80 0.72–0.88
Low risk 7 359
  1. PPV Positive predictive value, NPV Negative predictive value, ROC receiver operating characteristic, CI confidence interval
  2. a76 patients were excluded for incomplete data when we calculated the Kawamura prediction model scores