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      Novel approaches for diagnosis and management of low prognosis patients in assisted reproductive technology: the POSEIDON concept

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          Association between the number of eggs and live birth in IVF treatment: an analysis of 400 135 treatment cycles.

          While live birth is the principal clinical outcome following in vitro fertilization (IVF) treatment, the number of eggs retrieved following ovarian stimulation is often used as a surrogate outcome in clinical practice and research. The aim of this study was to explore the association between egg number and live birth following IVF treatment and identify the number of eggs that would optimize the IVF outcome. Anonymized data on all IVF cycles performed in the UK from April 1991 to June 2008 were obtained from the Human Fertilization and Embryology Authority (HFEA). We analysed data from 400 135 IVF cycles. A logistic model was fitted to predict live birth using fractional polynomials to handle the number of eggs as a continuous independent variable. The prediction model, which was validated on a separate HFEA data set, allowed the estimation of the probability of live birth for a given number of eggs, stratified by age group. We produced a nomogram to predict the live birth rate (LBR) following IVF based on the number of eggs and the age of the female. The median number of eggs retrieved per cycle was 9 [inter-quartile range (IQR) 6-13]. The overall LBR was 21.3% per fresh IVF cycle. There was a strong association between the number of eggs and LBR; LBR rose with an increasing number of eggs up to ∼15, plateaued between 15 and 20 eggs and steadily declined beyond 20 eggs. During 2006-2007, the predicted LBR for women with 15 eggs retrieved in age groups 18-34, 35-37, 38-39 and 40 years and over was 40, 36, 27 and 16%, respectively. There was a steady increase in the LBR per egg retrieved over time since 1991. The relationship between the number of eggs and live birth, across all female age groups, suggests that the number of eggs in IVF is a robust surrogate outcome for clinical success. The results showed a non-linear relationship between the number of eggs and LBR following IVF treatment. The number of eggs to maximize the LBR is ∼15.
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            The novel POSEIDON stratification of ‘Low prognosis patients in Assisted Reproductive Technology’ and its proposed marker of successful outcome

            In reproductive medicine little progress has been achieved regarding the clinical management of patients with a reduced ovarian reserve or poor ovarian response (POR) to stimulation with exogenous gonadotropins -a frustrating experience for clinicians as well as patients. Despite the efforts to optimize the definition of this subgroup of patients, the existing POR criteria unfortunately comprise a heterogeneous population and, importantly, do not offer any recommendations for clinical handling. Recently, the POSEIDON group ( Patient- Oriented Strategies Encompassing Individualize D Oocyte Number) proposed a new stratification of assisted reproductive technology (ART) in patients with a reduced ovarian reserve or unexpected inappropriate ovarian response to exogenous gonadotropins. In brief, four subgroups have been suggested based on quantitative and qualitative parameters, namely, i. Age and the expected aneuploidy rate; ii. Ovarian biomarkers (i.e. antral follicle count [AFC] and anti-Müllerian hormone [AMH]), and iii. Ovarian response - provided a previous stimulation cycle was performed. The new classification introduces a more nuanced picture of the “low prognosis patient” in ART, using clinically relevant criteria to guide the physician to most optimally manage this group of patients. The POSEIDON group also introduced a new measure for successful ART treatment, namely, the ability to retrieve the number of oocytes needed for the specific patient to obtain at least one euploid embryo for transfer. This feature represents a pragmatic endpoint to clinicians and enables the development of prediction models aiming to reduce the time-to-pregnancy (TTP). Consequently, the POSEIDON stratification should not be applied for retrospective analyses having live birth rate (LBR) as endpoint. Such an approach would fail as the attribution of patients to each Poseidon group is related to specific requirements and could only be made prospectively. On the other hand, any prospective approach (i.e. RCT) should be performed separately in each specific group.
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              Double stimulations during the follicular and luteal phases of poor responders in IVF/ICSI programmes (Shanghai protocol).

              Previous studies have shown that existing antral follicles in the luteal phase enable ovarian stimulation. In a pilot study, the efficacy of double stimulations during the follicular and luteal phases in women with poor ovarian response was explored (defined according to the Bologna criteria). Thirty-eight women began with mild ovarian stimulation. After the first oocyte retrieval, human menopausal gonadotrophin and letrozole were administrated to stimulate follicle development, and oocyte retrieval was carried out a second time when dominant follicles had matured. The primary outcome measured was the number of oocytes retrieved: stage one 1.7 ± 1.0; stage two 3.5 ± 3.2. From the double stimulation, 167 oocytes were collected and 26 out of 38 (68.4%) succeeded in producing one to six viable embryos cryopreserved for later transfer. Twenty-one women underwent 23 cryopreserved embryo transfers, resulting in 13 clinical pregnancies. The study shows that double ovarian stimulations in the same menstrual cycle provide more opportunities for retrieving oocytes in poor responders. The stimulation can start in the luteal phase resulting in retrieval of more oocytes in a short period of time. This offers new hope for women with poor ovarian response and newly diagnosed cancer patients needing fertility preservation. Copyright © 2014 Reproductive Healthcare Ltd. Published by Elsevier Ltd. All rights reserved.
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                Author and article information

                Journal
                Panminerva Medica
                Panminerva Med
                Edizioni Minerva Medica
                00310808
                18271898
                March 2019
                January 2019
                : 61
                : 1
                Article
                10.23736/S0031-0808.18.03511-5
                30021418
                41d2b5b1-553c-49b3-a69c-079d5260c26a
                © 2019
                History

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