Table 5.

Comparative analysis of ROC curves for different diagnostic indicators in predicting uroseptic shock

Test index	AUC difference	S.E	Statistics (Z)	P	95% CI
N–NLR	− 0.001	0.297	− 0.043	0.966	− 0.119–0.058
N–LA	0.001	0.299	0.016	0.987	− 0.240–0.121
N–TP	0.470	0.312	6.057	< 0.001*	0.318–0.622
N–ALB	0.434	0.315	5.648	< 0.001*	0.283–0.585
N–PRE	− 0.090	0.280	− 2.416	0.016*	− 0.145–(− 0.017)
NLR–LA	0.002	0.299	0.036	0.971	− 0.249–0.127
NLR–TP	0.471	0.312	6.138	< 0.001*	0.321–0.622
NLR–ALB	0.435	0.315	5.639	< 0.001*	0.284–0.587
NLR–PRE	− 0.088	0.279	− 2.673	0.008*	− 0.129–(− 0.024)
LA–TP	0.469	0.307	6.842	< 0.001*	0.335–0.603
LA–ALB	0.433	0.310	6.271	< 0.001*	0.298–0.568
LA–PRE	− 0.091	0.277	− 2.270	0.023*	− 0.157–(− 0.012)
TP–ALB	− 0.036	0.314	− 1.218	0.223	− 0.116–0.022
TP–PRE	− 0.559	0.294	− 7.828	< 0.001*	− 0.281–(− 0.419)
ALB–PRE	− 0.524	0.297	− 7.265	< 0.001*	− 0.283–(− 0.382)

The PRE variable can be used to assess the likelihood of an individual having a certain disease

PRE predicted probability, AUC area under the receiver operating characteristic curve, S.E standard error

P-values show the level of statistical significance (*P < 0.05). Confidence intervals (CI) are provided at the 95% level