Optimal cut-off values of PNI, NLR and PLR for predicting IVIG
resistance
The AUC for IVIG resistance with a ROC analysis method were 0.707 (95%
CI, 0.681-0.732) (p < 0.001), 0.689 (95% CI:
0.663-0.715) (p < 0.001), and 0.676 (95% CI:
0.650-0.702) (p < 0.001) for PNI, NLR, and PLR,
respectively. According to the maximum Youden index, the optimal cut-off
values for predicting IVIG resistance were identified as 49.5 for PNI,
3.58 for NLR and 164 for PLR, . Pretreatment PNI was not inferior to NLR
(z=0.868, p = 0.385) and PLR (z=0.1764, p = 0.078) for
predicting IVIG resistance (Fig 1).
Accordingly, patients were divided into two groups according to the
optimal cut-off values: PNI <49.5 (n=500) and PNI ≥49.5
(n=757) groups; NLR ≥3.58 (n=652) and NLR<3.58 (n=605) groups;
PLR ≥164 (n=686) and PLR <164 (n=571) groups.