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. 2023 Apr 13;13(6):3915–3926. doi: 10.21037/qims-22-705

Table 5. The multivariate stepwise logistic regression analysis for indicators with P<0.1 in the univariate logistic analysis.

Variable Estimate Se Z Wald P OR (95% CI) Significant markers
Pregnancy
   (Intercept) 0.496 0.759 0.653 0.426 0.51
   AMH 0.115 0.083 1.378 1.899 0.16 1.121 (0.953, 1.320)
Clinical pregnancy
   (Intercept) 0.496 0.759 0.653 0.426 0.51
   The first change of EV on day P + 2
   Declining ref
   Nondeclining −1.203 0.577 −2.087 4.354 0.03 0.300 (0.097, 0.930) P<0.05
   The change of E2 on day P + 2
   Declining ref
   Nondeclining 0.914 0.515 1.775 3.152 0.07 2.494 (0.909, 6.839)
   P on P + 2 day −0.07 0.038 −1.844 3.399 0.06 0.932 (0.865, 1.004)
   AMH 0.182 0.093 1.943 3.775 0.05 1.199 (0.998, 1.440)
Ongoing pregnancy
   (Intercept) −1.384 0.63 −2.196 4.823 0.02
   The first change of EV on day P + 2
   Declining ref
   Nondeclining −1.549 0.629 −2.463 6.066 0.01 0.212 (0.062, 0.729) P<0.05
   The second change of EV on day of ET
   Declining ref
   Nondeclining 1.251 0.598 2.09 4.369 0.03 3.493 (1.081, 11.284) P<0.05
   AMH 0.156 0.082 1.889 3.569 0.05 1.168 (0.994, 1.373)

AMH, anti-Müllerian hormone; E2, estradiol; P, progesterone; EV, endometrial volume; ET, embryo transfer; CI, confidence interval; OR, odds ratio.