Predicting Ovarian Response in IVF Using Antral Follicle Count
Author Information
Author(s): Janet Kwee, Mariet E Elting, Roel Schats, Joseph McDonnell, Cornelis B Lambalk
Primary Institution: Vrije Universiteit Medical Center
Hypothesis
Can antral follicle count (AFC) and basal ovarian volume (BOV) predict poor and hyper responders in IVF treatment?
Conclusion
AFC is a reliable test for predicting ovarian response, performing as well as or better than more complex endocrine tests.
Supporting Evidence
- AFC was found to be a strong predictor of ovarian response with a sensitivity of 82% and specificity of 89%.
- The study included a diverse group of women with various infertility causes.
- Multiple regression analysis showed that AFC, Inhibin B-increment, and BOV together provided the best prediction model.
- Univariate logistic regression indicated that AFC and Inhibin B-increment were the best predictors for hyper response.
- The study was conducted in a controlled environment with standardized procedures.
- Results suggest that AFC can be used in general practice for predicting IVF outcomes.
- Statistical analysis confirmed the significance of the findings with p-values less than 0.001.
- The study's design included randomization to minimize bias.
Takeaway
Doctors can use the number of small eggs in the ovaries to guess how well a woman will respond to fertility treatments.
Methodology
The study involved 110 women aged 18-39, who were randomly assigned to undergo either a Clomiphene citrate challenge test or an Exogenous FSH ovarian reserve test, followed by IVF treatment.
Potential Biases
Potential bias in patient selection and the subjective nature of ultrasound measurements.
Limitations
The study may not be generalizable to women outside the specified age range or those with different infertility causes.
Participant Demographics
Women aged 18-39, regularly menstruating, with various infertility causes.
Statistical Information
P-Value
< 0.001
Confidence Interval
0.258-1.352 for AFC, 0.007-0.601 for Inhibin B-increment, 0.480-0.974 for BOV
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
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