Literature DB >> 26873125

Anti-Müllerian hormone concentrations and antral follicle counts for the prediction of pregnancy outcomes after intrauterine insemination.

Francesca Moro1, Anna Tropea2, Elisa Scarinci2, Emanuele Leoncini3, Stefania Boccia3, Alex Federico2, Ornella Alesiani2, Antonio Lanzone2, Rosanna Apa2.   

Abstract

OBJECTIVE: To evaluate anti-Müllerian hormone (AMH) concentrations and antral follicle counts (AFCs) in the prediction of pregnancy outcomes after controlled ovarian stimulation among women undergoing intrauterine insemination.
METHODS: A retrospective study included women with unexplained infertility aged 41years or younger who attended a fertility clinic in Italy between December 2009 and May 2014. Ovarian stimulation was achieved with recombinant follicle-stimulating hormone or highly purified human menopausal gonadotropin. Receiver operating characteristic curves were generated to predict ongoing pregnancy. The primary outcome was the association between AMH/AFC and ongoing pregnancy, and was assessed by logistic regression.
RESULTS: Overall, 276 women were included, of whom 43 (15.6%) achieved ongoing pregnancy. Multivariate analysis showed that women with a serum day-3 concentration of AMH higher than 2.3ng/mL were more likely to have ongoing pregnancy than were those with a concentration lower than 2.3ng/mL (odds ratio 5.84, 95% confidence interval 2.38-14.31; P<0.001). No associations were recorded for AFCs.
CONCLUSION: AMH should be used to predict the pregnancy outcome of intrauterine insemination.
Copyright © 2015 International Federation of Gynecology and Obstetrics. Published by Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Anti-Müllerian hormone; Antral follicle count; Intrauterine insemination; Ovulation induction; Prediction

Mesh:

Substances:

Year:  2015        PMID: 26873125     DOI: 10.1016/j.ijgo.2015.08.021

Source DB:  PubMed          Journal:  Int J Gynaecol Obstet        ISSN: 0020-7292            Impact factor:   3.561


  4 in total

1.  CNFE-SE: a novel approach combining complex network-based feature engineering and stacked ensemble to predict the success of intrauterine insemination and ranking the features.

Authors:  Sima Ranjbari; Toktam Khatibi; Ahmad Vosough Dizaji; Hesamoddin Sajadi; Mehdi Totonchi; Firouzeh Ghaffari
Journal:  BMC Med Inform Decis Mak       Date:  2021-01-02       Impact factor: 2.796

2.  Investigation of the Predictive Factors of Diminished Ovarian Reserve in Women Aged Less Than 40 Years and Undergoing ICSI Cycle.

Authors:  Mohammed M Laqqan; Maged M Yassin
Journal:  Reprod Sci       Date:  2022-08-24       Impact factor: 2.924

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.  Clinical Application of AMH Measurement in Assisted Reproduction.

Authors:  Hang Wun Raymond Li; Scott M Nelson
Journal:  Front Endocrinol (Lausanne)       Date:  2020-12-09       Impact factor: 5.555

  4 in total

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