The IVF Outcome Counseling Based on the Model Combining DHEAS and Age in Patients with Low AMH Prior to the First Cycle of GnRH Antagonist Protocol of Ovarian Stimulation

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	𝑅^2	𝑃 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
𝐸2	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
𝑇	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: 𝑅²: regression coefficient; 𝑃: 𝑃 value for 𝑅²; CI: confidence interval; AFC: antral follicle count; AMH: anti-Müllerian 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 𝜇mol/L and age as categorical variable with cut-off value of 37.5 years.