Multivariate logistic regression and ROC curve analysis for predicting initial IVIG resistance
To not affect the prediction efficiency, the correlation between univariate factors and coagulation profiles were tested by Pearson analysis. The strong variables were removed from the model (Supplemental material 2). Multivariate logistic regression analysis showed that longer PT, APTT, higher D-dimer and lower ATIII activity were independent risk factors for initial IVIG resistance in patients with KD (Table 2).
The validity of the serum coagulation profile in predicting initial IVIG resistance in patients with KD was assessed using ROC curve analysis. The areas under the curve (AUC) of the various variables for predicting IVIG resistance were 0.662, 0.599, 0.684, and 0.706 for PT, APTT, D-dimer, and ATIII, respectively. The PT, APTT, D-dimer and ATIII cutoff values of 13.95 s, 41.15 s, 1.48 mg/l, and 89.5% yielded sensitivities of 73%, 32%, 71%, 81%; specificities of 55%, 88%, 62%, 51% for predicting initial IVIG resistance, respectively (Table 3 and Figure 2A).