Table 3.
Binary logistic regression analysis to account for confounding variables affecting the cumulative live birth rate.
| POSEIDON 1 | POSEIDON 2 | POSEIDON 3 | POSEIDON 4 | |||||
|---|---|---|---|---|---|---|---|---|
| AOR | 95% CI | AOR | 95% CI | AOR | 95% CI | AOR | 95% CI | |
| Maternal age (year) | 1.01 | 0.92-1.11 | 0.89 | 0.83-0.95 | 1.02 | 0.86-1.20 | 0.81 | 0.74-0.90 |
| Body mass index (kg/m2) | 1.05 | 0.96-1.14 | 0.95 | 0.88-1.03 | 1.02 | 0.87-1.20 | 0.96 | 0.86-1.08 |
| Type of infertility (primary/secondary) | 0.76 | 0.46-1.28 | 0.87 | 0.46-1.66 | 0.99 | 0.35-2.78 | 1.40 | 0.56-3.49 |
| Infertility diagnosis (low prognosis/low prognosis +tubal factor/low prognosis+ male factor/low prognosis+ others) | 1.03 | 0.86-1.24 | 1.05 | 0.89-1.24 | 0.80 | 0.53-1.21 | 1.11 | 0.82-1.51 |
| AFC | 1.00 | 0.96-1.05 | 1.02 | 0.95-1.10 | 1.45 | 0.81-2.58 | 1.02 | 0.86-2.18 |
| COS protocols (PPOS/GnRH antagonist) | 1.02 | 0.56-1.85 | 1.27 | 0.81-2.00 | 1.38 | 0.49-3.89 | 0.47 | 0.20-1.12 |
Variables entered in the logistics regression model are listed. AOR, adjusted odds ratio; CI, confidence interval.