A multifactorial analysis of in vitro fertilization outcomes

Area of Science:

• Reproductive Endocrinology
• In Vitro Fertilization (IVF)
• Biostatistics

Background:

• In vitro fertilization (IVF) success depends on numerous factors.
• Understanding the correlation between patient variables and IVF outcomes is crucial for optimizing treatment.

Purpose of the Study:

• To evaluate the association between maternal age, Body Mass Index (BMI), Anti-Müllerian Hormone (AMH) levels, and Antral Follicular Count (AFC) with IVF success.
• To determine the impact of these factors on oocyte retrieval, maturation, fertilization, and live birth rates.

Main Methods:

• Analysis of 1736 non-donor IVF cycles.
• Statistical evaluation of correlations between maternal age, BMI, AMH, AFC, and various IVF outcome metrics.

Main Results:

• Maternal age was the strongest predictor of IVF success and live birth rates.
• AMH and AFC strongly correlated with oocyte retrieval and blastocyst formation, but less so with live birth.
• Mature oocyte count and maturation rates were significantly associated with live birth.
• BMI showed no significant correlation except in extremely obese patients.

Conclusions:

• Maternal age is the most significant factor affecting IVF live birth rates.
• AMH and AFC are useful for predicting ovarian response but have limited predictive value for live birth.
• Individualized IVF treatment strategies and predictive models incorporating biological markers are recommended.