Skip to main content

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