Table 2.

ROC curve analysis of anthropometric measures and urinary biomarkers shows the relationship between sensitivity and specificity in determining a specific marker.

Parameter	AUC	SE	Cut-off	Sensitivity	1 − specificity	Significance p value	95% CI
							Lower	Upper
BMI z-score	0.957	0.018	0.695	0.851	0.122	<0.0001	0.922	0.992
WC z-score	0.960	0.022	0.705	0.936	0.049	<0.0001	0.917	1.000
WHtR z-score	0.978	0.011	0.670	0.915	0.073	<0.0001	0.956	1.000
ET-1	0.695	0.055	0.437	0.660	0.317	<0.002	0.587	0.804
IL-6	0.747	0.051	0.837	0.809	0.463	<0.0001	0.646	0.847
CRP	0.847	0.042	72.65	0.723	0.049	<0.0001	0.765	0.930
AGP	0.769	0.050	222.22	0.787	0.390	<0.0001	0.671	0.866
8-Isoprostane	0.857	0.038	0.575	0.894	0.341	<0.0001	0.783	0.932
8-OHdG	0.601	0.061	66.45	0.426	0.146	<0.104	0.482	0.720