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Helping patients achieve their expected live birth rate: an ART paradigm shift
Luca Gianaroli1, Edgar Mocanu2, Human Fatemi3
1IIRM - Interdisciplinary Institute of Reproductive Medicine, Bologna, Italy; International Federation of Fertility Societies, Houston, Texas, USA.
This study proposes a new approach for assisted reproductive technology (ART) to improve success rates. By identifying the realistic number of embryo transfers needed and cryopreserving embryos, ART can become more cost-effective and reduce patient drop-out.
Area of Science:
- Reproductive Medicine
- Infertility Treatment
- Assisted Reproductive Technology (ART)
Background:
- Assisted reproductive technology (ART) has advanced significantly but faces challenges with low success rates per cycle, particularly for poor-prognosis patients.
- High treatment costs contribute to low cycle completion rates and increased patient drop-out.
- Current metrics for ART do not reflect recent clinical and laboratory innovations.
Purpose of the Study:
- To propose a novel approach for ART that enhances success rates and cost-effectiveness.
- To introduce the concept of 'expected live birth rate' based on a thorough diagnostic assessment.
- To reduce treatment discontinuation by optimizing embryo transfer strategies.
Main Methods:
- Identifying the realistic number of embryo transfers required for a couple's expected live birth rate before treatment initiation.
- Recommending the postponement of embryo transfer until a sufficient number of embryos are cryopreserved.
- Utilizing comprehensive diagnostic assessments to guide treatment strategies.
Main Results:
- The proposed approach aims to improve clinical outcomes in ART.
- It seeks to enhance the cost-effectiveness of fertility treatments.
- It is expected to reduce the risk of treatment discontinuation.
Conclusions:
- A personalized approach, focusing on expected live birth rate and strategic cryopreservation, can optimize ART outcomes.
- This method addresses the limitations of current ART metrics and practices.
- Implementing this strategy can lead to more efficient and successful fertility treatments.
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