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      PIVET rFSH dosing algorithms for individualized controlled ovarian stimulation enables optimized pregnancy productivity rates and avoidance of ovarian hyperstimulation syndrome

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          The first PIVET algorithm for individualized recombinant follicle stimulating hormone (rFSH) dosing in in vitro fertilization, reported in 2012, was based on age and antral follicle count grading with adjustments for anti-Müllerian hormone level, body mass index, day-2 FSH, and smoking history. In 2007, it was enabled by the introduction of a metered rFSH pen allowing small dosage increments of ~8.3 IU per click. In 2011, a second rFSH pen was introduced allowing more precise dosages of 12.5 IU per click, and both pens with their individual algorithms have been applied continuously at our clinic. The objective of this observational study was to validate the PIVET algorithms pertaining to the two rFSH pens with the aim of collecting ≤15 oocytes and minimizing the risk of ovarian hyperstimulation syndrome. The data set included 2,822 in vitro fertilization stimulations over a 6-year period until April 2014 applying either of the two individualized dosing algorithms and corresponding pens. The main outcome measures were mean oocytes retrieved and resultant embryos designated for transfer or cryopreservation permitted calculation of oocyte and embryo utilization rates. Ensuing pregnancies were tracked until live births, and live birth productivity rates embracing fresh and frozen transfers were calculated. Overall, the results showed that mean oocyte numbers were 10.0 for all women <40 years with 24% requiring rFSH dosages <150 IU. Applying both specific algorithms in our clinic meant that the starting dose was not altered for 79.1% of patients and for 30.1% of those receiving the very lowest rFSH dosages (≤75 IU). Only 0.3% patients were diagnosed with severe ovarian hyperstimulation syndrome, all deemed avoidable due to definable breaches from the protocols. The live birth productivity rates exceeded 50% for women <35 years and was 33.2% for the group aged 35–39 years. Routine use of both algorithms led to only 11.6% of women generating >15 oocytes, significantly lower than recently published data applying conventional dosages (38.2%; P<0.0001). When comparing both specific algorithms to each other, the outcomes were mainly comparable for pregnancy, live birth, and miscarriage rate. However, there were significant differences in relation to number of oocytes retrieved, but the mean for both the algorithms remained well below 15 oocytes. Consequently, application of both these algorithms in our in vitro fertilization clinic allows the use of both the rFSH products, with very similar results, and they can be considered validated on the basis of effectiveness and safety, clearly avoiding ovarian hyperstimulation syndrome.

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          Most cited references 23

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          Biomarkers of ovarian response: current and future applications.

           Peter Nelson (2013)
          With our increasing appreciation that simply maximizing oocyte yield for all patients is no longer an appropriate stimulation strategy and that age alone cannot accurately predict ovarian response, there has been an explosion in the literature regarding the utility of biomarkers to predict and individualize treatment strategies. Antral follicle count (AFC) and antimüllerian hormone (AMH) have begun to dominate the clinical scene, and although frequently pitted against each other as alternatives, both may contribute and indeed be synergistic. Their underlying technologies are continuing to develop rapidly and overcome the standardization issues that have limited their development to date. In the context of in vitro fertilization (IVF), their linear relationship with oocyte yield and thereby extremes of ovarian response has led to improved pretreatment patient counseling, individualization of stimulation strategies, increased cost effectiveness, and enhanced safety. This review highlights that although biomarkers of ovarian response started in the IVF clinic, their future extends well beyond the boundaries of assisted reproduction. The automation of AMH and its introduction into the routine repertoire of clinical biochemistry has tremendous potential. A future where primary care physicians, endocrinologists, and oncologists can rapidly assess ovarian dysfunction and the ovarian reserve more accurately than with the current standard of follicle-stimulating hormone (FSH) is an exciting possibility. For women, the ability to know the duration of their own reproductive life span will be empowering and allow them to redefine the meaning of family planning. Copyright © 2013 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.
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            Mid-luteal serum progesterone concentrations govern implantation rates for cryopreserved embryo transfers conducted under hormone replacement.

            This study explores the relevance of mid-luteal serum hormonal concentrations in cryopreserved embryo transfer cycles conducted under hormone replacement therapy (HRT) control and which involved single-embryo transfer (SET) of 529 vitrified blastocysts. Widely ranging mid-luteal oestradiol and progesterone concentrations ensued from the unique HRT regimen. Oestradiol had no influence on clinical pregnancy or live birth rates, but an optimal progesterone range between 70 and 99 nmol/l (P < 0.005) was identified in this study. Concentrations of progesterone below 50 nmol/l and above 99 nmol/l were associated with decreased implantation rates. There was no clear interaction between oestradiol and progesterone concentrations but embryo quality grading did show a significant influence on outcomes (P < 0.001 and P = 0.002 for clinical pregnancy and live birth rates, respectively). Multiple comparison analysis showed that the progesterone effect was influential regardless of embryo grading, body mass index or the woman's age, either at vitrification or at cryopreserved embryo transfer. The results support the argument that careful monitoring of serum progesterone concentrations in HRT-cryopreserved embryo transfer is warranted and that further studies should explore pessary adjustments to optimize concentrations for individual women to enhance implantation rates.
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              Predictive factors and a corresponding treatment algorithm for controlled ovarian stimulation in patients treated with recombinant human follicle stimulating hormone (follitropin alfa) during assisted reproduction technology (ART) procedures. An analysis of 1378 patients.

               P Engrand,  ,  Jimmy Saunders (2006)
              Identifying parameters that can accurately predict the response to controlled ovarian stimulation (COS) would be of great benefit in assisted reproductive technology (ART) procedures. An analysis was undertaken with the objective of determining whether specific factors could optimally predict a response to stimulation in ART, and to then develop a corresponding treatment algorithm that could be used to calculate the optimal starting dose of recombinant human follicle stimulating hormone (r-hFSH; follitropin alfa) for selected patients. The overall population consisted of 2280 normo-ovulatory ART patients from 11 randomised clinical trials. However, for the final analysis population, only patients less than 35 years of age who received r-hFSH monotherapy (N = 1378) were included. Backwards stepwise regression modelling indicated that predictive factors for ovarian response included basal FSH, BMI, age and number of follicles < 11 mm at baseline screening. The concordance probability index was 59.5% for this model. In the largest data series so far analysed to determine predictive factors of ovarian response, basal FSH, BMI, age and number of follicles < 11 mm at screening were the most important variables in ART patients less than 35 years of age who were treated with r-hFSH monotherapy. Using these four predictive factors, a follitropin alfa starting dose calculator was developed that can be used to select the FSH starting dose required for an optimal response. The relevance of this dose calculator will be evaluated in a prospective clinical trial.

                Author and article information

                Drug Des Devel Ther
                Drug Des Devel Ther
                Drug Design, Development and Therapy
                Drug Design, Development and Therapy
                Dove Medical Press
                10 August 2016
                : 10
                : 2561-2573
                [1 ]PIVET Medical Centre, Perth
                [2 ]School of Biomedical Science, Curtin Health Innovation Research Institute Bioscience, Curtin University, Perth, WA, Australia
                [3 ]The Fertility Clinic, Skive Regional Hospital, Skive
                [4 ]Faculty of Health, Aarhus University, Aarhus, Denmark
                Author notes
                Correspondence: John L Yovich, PIVET Medical Centre, 166-168 Cambridge Street, Leedervile, Perth, WA 6007, Australia, Email jlyovich@ 123456pivet.com

                These authors contributed equally to this work

                © 2016 Yovich et al. This work is published and licensed by Dove Medical Press Limited

                The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.

                Original Research

                Pharmacology & Pharmaceutical medicine

                bmi, ivf, ohss, afc, amh


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