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

value

AUC-ROC

95% CI

Univariate continuous models

DHEAS

0.466

0.004

0.726

0.641–0.801

Age

−0.173

0.031

0.662

0.573–0.743

AFC

0.115

0.104

0.619

0.529–0.703

AMH

0.172

0.260

0.592

0.502–0.678

BMI

−0.038

0.626

0.502

0.413–0.592

0.086

0.969

0.518

0.428–0.607

FSH

−0.020

0.661

0.525

0.435–0.614

LH

−0.024

0.848

0.525

0.435–0.613

0.473

0.234

0.587

0.497–0.673

PRL

−0.008

0.843

0.501

0.412–0.590

TSH

−0.044

0.747

0.544

0.454–0.632

Univariate categorical model

Age-c

−1.907

0.015

0.688

0.600–0.766

Multivariate categorical model

DHEAS-age

−1.167

0.001

0.796

0.716–0.862

Note: : regression coefficient; : value for ; CI: confidence interval; AFC: antral follicle count; AMH: anti-Mllerian 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.