Estimation Methods for Infertility Treatment Success: Comparison of Four Methods

Alireza Zarinara; Koorosh Kamali; Mohammad Mahdi Akhondi

doi:10.18502/jfrh.v15i3.7136

Alireza Zarinara Reproductive Biotechnology Research Centre, Avicenna Research Institute, Tehran, Iran
Koorosh Kamali Social Determinants of Health Research Center, Zanjan University of Medical Sciences, Zanjan, Iran
Mohammad Mahdi Akhondi Social Determinants of Health Research Center, Zanjan University of Medical Sciences, Zanjan, Iran

DOI: https://doi.org/10.18502/jfrh.v15i3.7136

Keywords: Fertility; Infertility; Pregnancy Rate

Abstract

Objective: To analyze and compare four methods for estimating the chance of treatment success in infertile couples.

Materials and methods: In a retrospective cohort study, information on demographic and clinical features, including age, body mass index (BMI), duration of infertility, semen analysis, previous history of treatment and clinical examination of infertile couples were analyzed. Treatment success (childbearing) was calculated with four methods as live birth ratio, conditional probability and survival analysis
(life table and Kaplan-Meyer method) and results are compared.

Results: The fertility ratio for the first treatment cycle was 29.72% which decreased to 23.13% by total treatment cycles. The success rate was 75.4%. With conditional probability calculation at the end of the five treatment cycles. With the life table method in a five-year period, the probability for live birth was 78% and by Kaplan-Meyer method 73.1% and the median of treatment time was 562 days.

Conclusion: Calculation of infertility treatment success rate by only simple live birth ratio of childbearing couples is associated with underestimation. Using the conditional probability method reduces that underestimation, but it is not considered the censored cases in the treatments. It seems life table (as a proxy of survival analysis) presents the closest estimation to clinical facts with considering the repetition of the treatment cycle and the duration of treatment.