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Table 4 Odds ratio subsequent to conditional logistic regression model based on the surveyed ovarian reserve markers and pregnancy-related parameters.

From: Impact of female age and male infertility on ovarian reserve markers to predict outcome of assisted reproduction technology cycles

Variables Age < 35
(n = 210)
Age ≥ 35
(n = 114)
Male factor presence
(n = 203)
Male factor absence
(n = 121)
Total
(n = 324)
logAMH -- 2.055
(1.285~3.286)
-- 2.120
(1.308~3.436)
1.580
(1.197~2.086)
logAGE -- 0.001
(0.000~0.053)
-- -- --
NGE 1.319
(1.128~1.543)
-- 1.322
(1.094~1.598)
-- --
  1. The factors for analysis included female age, duration of infertility, body mass index, logAMH, log AFC, log FSH, number of transferred embryos, and number of good embryos (NGE). The final prediction models were listed below the table. The significant coefficients were shown as the 95% confidence interval.
  2. For patients < 35 years of age: Fertility index (live birth) = -0.633 + 0.277 × NGE
  3. For patients ≥ 35 years of age Fertility index (live birth) = 34.256 + 0.700 × logAMH - 9.664 × logAGE
  4. For couples with male factor: Fertility index (live birth) = -1.587 + 0.279 × NGE
  5. For couples without male factor: Fertility index (live birth) = -0.637 + 0.751 × logAMH
  6. For all the couples in this study: Fertility index (live birth) = -0.667+ 0.457 × logAMH
  7. The probability (p) of live births can be calculated through p = eFertility index/(1+eFertility index)