Table 2: Univariate and multivariate logistic regression analysis of variables studied for the prediction of clinical pregnancy in patients with low AMH and area under the receiver operating characteristic curves (AUC-ROC) analysis.

Variable valueAUC-ROC95% CI

Univariate continuous models
 DHEAS 0.4660.0040.7260.641–0.801
 Age −0.1730.0310.6620.573–0.743
 AFC 0.115 0.1040.6190.529–0.703
 AMH 0.172 0.2600.5920.502–0.678
 BMI−0.0380.6260.5020.413–0.592
0.086 0.9690.5180.428–0.607
 FSH−0.0200.6610.5250.435–0.614
 LH−0.0240.8480.5250.435–0.613
0.473 0.2340.5870.497–0.673
 PRL−0.0080.8430.5010.412–0.590
 TSH−0.0440.7470.5440.454–0.632
Univariate categorical model
 Age-c −1.9070.0150.6880.600–0.766
Multivariate categorical model
 DHEAS-age−1.1670.0010.7960.716–0.862

Note: : regression coefficient; : value for ; CI: confidence interval; AFC: antral follicle count; AMH: anti-M llerian hormone; BMI: body mass index; age-c: univariate categorical model using age as categorical variable with cut-off value of 37.5 years; DHEAS-age: multivariate categorical model using DHEAS as categorical variable with cut-off value of 5.7  mol/L and age as categorical variable with cut-off value of 37.5 years.