Literature DB >> 24077980

Individualization of controlled ovarian stimulation in IVF using ovarian reserve markers: from theory to practice.

Antonio La Marca1, Sesh Kamal Sunkara.   

Abstract

BACKGROUND: The main objective of individualization of treatment in IVF is to offer every single woman the best treatment tailored to her own unique characteristics, thus maximizing the chances of pregnancy and eliminating the iatrogenic and avoidable risks resulting from ovarian stimulation. Personalization of treatment in IVF should be based on the prediction of ovarian response for every individual. The starting point is to identify if a woman is likely to have a normal, poor or a hyper response and choose the ideal treatment protocol tailored to this prediction. The objective of this review is to summarize the predictive ability of ovarian reserve markers, such as antral follicle count (AFC) and anti-Mullerian hormone (AMH), and the therapeutic strategies that have been proposed in IVF after this prediction.
METHODS: A systematic review of the existing literature was performed by searching Medline, EMBASE, Cochrane library and Web of Science for publications in the English language related to AFC, AMH and their incorporation into controlled ovarian stimulation (COS) protocols in IVF. Literature available to May 2013 was included.
RESULTS: The search generated 305 citations of which 41 and 25 studies, respectively, reporting the ability of AMH and AFC to predict response to COS were included in this review. The literature review demonstrated that AFC and AMH, the most sensitive markers of ovarian reserve identified to date, are ideal in planning personalized COS protocols. These sensitive markers permit prediction of the whole spectrum of ovarian response with reliable accuracy and clinicians may use either of the two markers as they can be considered interchangeable. Following the categorization of expected ovarian response to stimulation clinicians can adopt tailored therapeutic strategies for each patient. Current scientific trend suggests the elective use of the GnRH antagonist based regimen for hyper-responders, and probably also poor responders, as likely to be beneficial. The selection of the appropriate and individualized gonadotrophin dose is also of paramount importance for effective COS and subsequent IVF outcomes.
CONCLUSION: Personalized IVF offers several benefits; it enables clinicians to give women more accurate information on their prognosis thus facilitating counselling especially in cases of extremes of ovarian response. The deployment of therapeutic strategies based on selective use of GnRH analogues and the fine tuning of the gonadotrophin dose on the basis of potential ovarian response in every single woman can allow for a safer and more effective IVF practice.

Entities:  

Keywords:  IVF; anti-Mullerian hormone; antral follicle count; individualization; ovarian reserve

Mesh:

Substances:

Year:  2013        PMID: 24077980     DOI: 10.1093/humupd/dmt037

Source DB:  PubMed          Journal:  Hum Reprod Update        ISSN: 1355-4786            Impact factor:   15.610


  101 in total

1.  The Ideal Stimulation Protocol: Is There One?

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2.  GnRH Antagonist Cetrorelix Administration Before hCG for Protection of Ovarian Hyperstimulation Syndrome.

Authors:  Sherif A Hebisha; Banan A Aboelazm; H N Sallam
Journal:  J Obstet Gynaecol India       Date:  2016-11-29

3.  Ovarian biomarkers predict controlled ovarian stimulation for in vitro fertilisation treatment in Singapore.

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6.  Live birth rates in the different combinations of the Bologna criteria poor ovarian responders: a validation study.

Authors:  Antonio La Marca; Valentina Grisendi; Simone Giulini; Giovanna Sighinolfi; Alessandra Tirelli; Cindy Argento; Claudia Re; Daniela Tagliasacchi; Tiziana Marsella; Sesh Kamal Sunkara
Journal:  J Assist Reprod Genet       Date:  2015-05-01       Impact factor: 3.412

Review 7.  Anti-Müllerian hormone as a marker of ovarian reserve: What have we learned, and what should we know?

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Journal:  J Assist Reprod Genet       Date:  2016-11-05       Impact factor: 3.412

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Authors:  Julian A Gingold; Joseph A Lee; Jorge Rodriguez-Purata; Michael C Whitehouse; Benjamin Sandler; Lawrence Grunfeld; Tanmoy Mukherjee; Alan B Copperman
Journal:  Fertil Steril       Date:  2015-06-13       Impact factor: 7.329

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