Literature DB >> 29111311

Establishment and validation of a score to predict ovarian response to stimulation in IVF.

Clelia Chalumeau1, Jessika Moreau2, Nicolas Gatimel2, Clementine Cohade1, Florence Lesourd1, Jean Parinaud3, Roger Leandri2.   

Abstract

This study aimed to integrate clinical and biological parameters in a score able to predict ovarian response to stimulation for IVF in gonadotrophin-releasing hormone (GnRH) antagonist protocols. A progressive discriminant analysis to establish a score including the main clinical and biological parameters predicting ovarian response was performed by retrospectively analysing data from the first ovarian stimulation cycle of 494 patients. The score was validated in a prospectively enrolled, independent set of 257 patients undergoing their first ovarian stimulation cycle. All ovarian stimulations were performed using a combination of GnRH antagonist and recombinant FSH. Ovarian response was assessed through ovarian sensitivity index (OSI). Parameters from the patients' database were classified according to correlation with OSI: the progressive discriminant analysis resulted in the following calculation: score = 0.192 - (0.004 × FSH (IU/l)) + (0.012 × LH:FSH ratio) + (0.002 × AMH (ng/ml)) - (0.002 × BMI (kg/m2)) + (0.001 × AFC) - (0.002 × age (years)). This score was significantly correlated with OSI in the retrospective (r = 0.599; P < 0.0001) and prospective (r = 0.584; P < 0.0001) studies. In conclusion, the score including clinical and biological parameters could explain 60% of the variance in ovarian response to stimulation.
Copyright © 2017 Reproductive Healthcare Ltd. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Anti-Müllerian hormone; Antral follicle count; FSH; Gonadotrophin-releasing hormone antagonist protocol; Ovarian reserve; Ovarian stimulation

Mesh:

Year:  2017        PMID: 29111311     DOI: 10.1016/j.rbmo.2017.09.011

Source DB:  PubMed          Journal:  Reprod Biomed Online        ISSN: 1472-6483            Impact factor:   3.828


  6 in total

1.  Which ovarian stimulation parameters influence the number and proportion of mature oocytes retrieved in IVF cycles?

Authors:  Ankita Sethi; Neeta Singh; Garima Patel
Journal:  J Assist Reprod Genet       Date:  2021-10-08       Impact factor: 3.412

2.  An in silico model using prognostic genetic factors for ovarian response in controlled ovarian stimulation: A systematic review.

Authors:  B S Eisele; G C Villalba Silva; C Bessow; R Donato; V K Genro; J S Cunha-Filho
Journal:  J Assist Reprod Genet       Date:  2021-03-31       Impact factor: 3.357

3.  Age-specific anti-Mullerian hormone (AMH) levels poorly affects cumulative live birth rate after intra-uterine insemination.

Authors:  Jessika Moreau; Nicolas Gatimel; Cynthia Simon; Clémentine Cohade; Florence Lesourd; Jean Parinaud; Roger Léandri
Journal:  Eur J Obstet Gynecol Reprod Biol X       Date:  2019-05-13

Review 4.  Novel insights on premature progesterone elevation: a mini-review.

Authors:  Alfredo Cortés-Vazquez; Cristabel Escobosa; Alfredo L Cortés-Algara; Jesús D Moreno-García
Journal:  JBRA Assist Reprod       Date:  2022-08-04

5.  FSH Requirements for Follicle Growth During Controlled Ovarian Stimulation.

Authors:  Ali Abbara; Aaran Patel; Tia Hunjan; Sophie A Clarke; Germaine Chia; Pei Chia Eng; Maria Phylactou; Alexander N Comninos; Stuart Lavery; Geoffrey H Trew; Rehan Salim; Raj S Rai; Tom W Kelsey; Waljit S Dhillo
Journal:  Front Endocrinol (Lausanne)       Date:  2019-08-27       Impact factor: 5.555

6.  Prediction of ovarian response in IVF/ICSI cycles.

Authors:  Alfredo Cortés-Vazquez; Guillermo A Goitia-Landeros; Miguel A Regalado; Saúl R León-Hernández; Alfredo L Cortés-Algara; Cindy Bandala; Jesús D Moreno-García; Panagiotis Drakopoulos
Journal:  JBRA Assist Reprod       Date:  2021-07-21
  6 in total

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