Literature DB >> 18996517

Predictive factors for pregnancy after intrauterine insemination (IUI): an analysis of 1038 cycles and a review of the literature.

Philippe Merviel1, Marie Hélène Heraud, Nadège Grenier, Emmanuelle Lourdel, Pierre Sanguinet, Henri Copin.   

Abstract

OBJECTIVE: To determine the predictive factors for pregnancy after IUI.
DESIGN: Retrospective study.
SETTING: A single university medical center. PATIENT(S): One thousand thirty-eight IUI cycles in 353 couples were studied between 2002 and 2005. INTERVENTION(S): Ovarian stimulation via SC injection of FSH or hMG was performed daily; IUI was then performed 36 hours after triggering ovulation if at least one follicle measuring >16 mm and an endometrial thickness of >7 mm (with triple-line development) were obtained. MAIN OUTCOME MEASURE(S): Clinical pregnancy rates were analyzed according to the woman's age, the type of infertility, the spermogram characteristics, the total motile spermatozoa (TMS) count, the E(2) level before hCG injection, and the number of mature follicles. RESULT(S): The couple with the best chance of pregnancy can be described as follows: an under 30 woman with cervical or anovulatory infertility and a man with a TMS >or=5 million spermatozoa. The "ideal" stimulation cycle enables the recruitment of two follicles measuring >16 mm with an E(2) concentration >500 pg/mL on the day of hCG administration. The best results are obtained when IUI is performed using a soft catheter. CONCLUSION(S): This study enabled the characterization of many prognostic factors for pregnancy and particularly those for women at risk of multiple pregnancies after IUI. Copyright 2010 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

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Year:  2008        PMID: 18996517     DOI: 10.1016/j.fertnstert.2008.09.058

Source DB:  PubMed          Journal:  Fertil Steril        ISSN: 0015-0282            Impact factor:   7.329


  66 in total

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3.  Prewash total motile count is a poor predictor of live birth in intrauterine insemination cycles.

Authors:  Erin B Mankus; Alan E Holden; Paige M Seeker; Jordan C Kampschmidt; Jessica E McLaughlin; Robert S Schenken; Jennifer F Knudtson
Journal:  Fertil Steril       Date:  2019-04       Impact factor: 7.329

4.  A Survey on Main Semen Parameters in Natural Pregnancy and Intrauterine Insemination: Are There Any Significant Differences?

Authors:  Roshanak Aboutorabi; Soudabeh Zamani; Yasaman Zarrin; Fatemeh Sadat Mostafavi
Journal:  Am J Mens Health       Date:  2016-05-04

5.  Comparison of Effectiveness of Different Protocols Used for Controlled Ovarian Hyperstimulation in Intrauterine Insemination Cycle.

Authors:  Manish Banker; Azadeh Patel; Ashwini Deshmukh; Sandeep Shah
Journal:  J Obstet Gynaecol India       Date:  2017-09-30

6.  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

7.  Activin Decoy Receptor ActRIIB:Fc Lowers FSH and Therapeutically Restores Oocyte Yield, Prevents Oocyte Chromosome Misalignments and Spindle Aberrations, and Increases Fertility in Midlife Female SAMP8 Mice.

Authors:  Lori R Bernstein; Amelia C L Mackenzie; Se-Jin Lee; Charles L Chaffin; István Merchenthaler
Journal:  Endocrinology       Date:  2015-12-29       Impact factor: 4.736

8.  Success Rate of Inseminations Dependent on Maternal Age? An Analysis of 4246 Insemination Cycles.

Authors:  M Schorsch; R Gomez; T Hahn; J Hoelscher-Obermaier; R Seufert; C Skala
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Review 9.  What is the best treatment option for infertile women aged 40 and over?

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Review 10.  The evaluation of pre and post processing semen analysis parameters at the time of intrauterine insemination in couples diagnosed with male factor infertility and pregnancy rates based on stimulation agent. A retrospective cohort study.

Authors:  Stephanie M Luco; Chioma Agbo; Barry Behr; Michael H Dahan
Journal:  Eur J Obstet Gynecol Reprod Biol       Date:  2014-05-20       Impact factor: 2.435

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