医学
辅助生殖技术
心态
同种类的
妇科
不育
人工智能
计算机科学
遗传学
生物
热力学
物理
怀孕
作者
Alessandro Conforti,Sandro C. Esteves,Silvia Picarelli,Giuseppe Gabriele Iorio,Erika Rania,Fulvio Zullo,Giuseppe De Placido,Carlo Alviggi
出处
期刊:Panminerva Medica
[Edizioni Minerva Medica]
日期:2019-01-01
卷期号:61 (1): 24-29
被引量:71
标识
DOI:10.23736/s0031-0808.18.03511-5
摘要
The management of patients with a poor ovarian response (POR) to ovarian stimulation represents a challenging issue in reproductive medicine. Apart from economic burdens, the patient with POR has poor prognosis in assisted reproductive technology (ART), which represents a common cause of drop-out from treatment. To introduce a more nuanced picture of POR, the POSEIDON group developed novel criteria to identify and classify patients with low prognosis who undergo ART. The primary goal of POSEIDON criteria is to offer clinicians a pragmatic system to guide therapeutic management with the mindset to obtain the number of oocytes needed for improving ART success. A novel marker of ART success, namely, the ability to obtain the number of oocytes required for achieving at least one euploid embryo for transfer in each patient, is aligned with the POSEIDON criteria. A novel prediction model (ART Calculator) is developed to help clinicians estimate the POSEIDON marker of success. Furthermore, the POSEIDON criteria can also be used to identify more homogeneous populations to test in interventional trials.
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