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Parameters that predict success for natural cycle in vitro fertilization-embryo transfer
M M Seibel1, M Kearnan, A Kiessling
1Faulkner Centre For Reproductive Medicine, Boston, Massachusetts 02130, USA.
Fertility and Sterility
|June 1, 1995
Summary
Natural cycle in vitro fertilization (IVF) success is best predicted by patient age. Careful patient selection and limiting treatment to two cycles significantly improve pregnancy rates in unmedicated IVF.
Area of Science:
- Reproductive Endocrinology
- In Vitro Fertilization
- Clinical Research
Background:
- Natural cycle in vitro fertilization-embryo transfer (IVF-ET) offers an unmedicated approach to conception.
- Identifying predictive parameters is crucial for optimizing natural cycle IVF-ET outcomes.
Purpose of the Study:
- To analyze natural cycle IVF-ET experience.
- To identify parameters predictive of success in unmedicated IVF-ET cycles.
Main Methods:
- Retrospective study conducted at a private reproductive center.
- Analysis of routine IVF-ET monitoring data.
- Serum hormone levels (FSH, PRL, E2, P) were analyzed.
Main Results:
- Day 3 FSH levels were not predictive; elevated day 3 LH levels correlated with adverse outcomes.
- Patient age was the most significant predictor of success.
- Pregnancy rates reached 87.5% within two cycles.
Conclusions:
- Proper patient selection is key to improving natural cycle IVF-ET success rates.
- Age and specific hormone levels can guide patient selection for unmedicated IVF-ET.