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

  • Francesca Moro
  • , Anna Tropea
  • , Elisa Scarinci
  • , Emanuele Leoncini
  • , Stefania Boccia
  • , Alex Federico
  • , Ornella Alesiani
  • , Antonio Lanzone
  • , Rosanna Apa

Risultato della ricerca: Contributo in rivistaArticolo

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 41 years 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 2.3 ng/mL were more likely to have ongoing pregnancy than were those with a concentration lower than 2.3 ng/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.
Lingua originaleInglese
pagine (da-a)64-68
Numero di pagine5
RivistaINTERNATIONAL JOURNAL OF GYNECOLOGY &amp; OBSTETRICS
Volume133
DOI
Stato di pubblicazionePubblicato - 2016

Keywords

  • Adult
  • Anti-Mullerian Hormone
  • Anti-Müllerian hormone
  • Antral follicle count
  • Female
  • Follicle Stimulating Hormone
  • Humans
  • Infertility, Female
  • Insemination, Artificial
  • Intrauterine insemination
  • Italy
  • Logistic Models
  • Menotropins
  • Multivariate Analysis
  • Obstetrics and Gynecology
  • Ovarian Follicle
  • Ovulation Induction
  • Ovulation induction
  • Prediction
  • Pregnancy
  • Pregnancy Outcome
  • Retrospective Studies

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