Literature DB >> 33610321

Clarifying the relationship between total motile sperm counts and intrauterine insemination pregnancy rates.

Akhil Muthigi1, Samad Jahandideh2, Lauren A Bishop3, Firoozeh K Naeemi2, Sharon K Shipley2, Jeanne E O'Brien2, Paul R Shin2, Kate Devine2, Cigdem Tanrikut2.   

Abstract

OBJECTIVE: To study the relationship between postwash total motile sperm count (TMSC) and intrauterine insemination (IUI) outcomes.
DESIGN: Retrospective review
SETTING: Large fertility clinic PATIENT(S): A total of 92,471 insemination cycles from 37,553 patients were included in this study. INTERVENTION(S): All stimulated clomiphene citrate, letrozole, and/or injectable gonadotropin IUI cycles performed at a single institution from 2002 through 2018 were reviewed. Generalized estimating equations (GEE) analysis was used to account for multiple cycles by individual patients and to adjust for female partner age, body mass index, and stimulation protocol. MAIN OUTCOME MEASURE(S): Successful clinical pregnancy was defined as ultrasound confirmation of an intrauterine gestational sac with fetal cardiac activity. RESULT(S): A total of 92,471 insemination cycles were available to evaluate the relationship between postwash TMSC and clinical pregnancy. Pregnancy rates were highest with TMSC of ≥9 × 106 and declined gradually as TMSC decreased. Complete data for the adjusted GEE analysis were available for 62,758 cycles. Adjusted GEE analysis among cycles with TMSC of ≥9 × 106 (n = 46,557) confirmed that TMSC in this range was unrelated to pregnancy. Conversely, TMSC was highly predictive of pregnancy (Wald χ2 = 39.85) in adjusted GEE analysis among cycles with TMSC of <9 × 106 (n = 16,201), with a statistically significant decline.
CONCLUSIONS: IUI pregnancy is optimized with TMSC of ≥9 × 106, below which the rates gradually decline. Although rare, pregnancies were achieved with TMSC of <0.25 × 106. Since the decline in pregnancy is gradual and continuous, there is no specific threshold above which IUI should be recommended. Rather, these more specific quantitative predictions can be used to provide personalized counseling and guide clinical decision making.
Copyright © 2021 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Intrauterine insemination; male infertility; sperm count

Mesh:

Year:  2021        PMID: 33610321     DOI: 10.1016/j.fertnstert.2021.01.014

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


  4 in total

Review 1.  Fertility after Curative Therapy for Sickle Cell Disease: A Comprehensive Review to Guide Care.

Authors:  Robert Sheppard Nickel; Jacqueline Y Maher; Michael H Hsieh; Meghan F Davis; Matthew M Hsieh; Lydia H Pecker
Journal:  J Clin Med       Date:  2022-04-21       Impact factor: 4.964

2.  Developing machine learning-based models to predict intrauterine insemination (IUI) success by address modeling challenges in imbalanced data and providing modification solutions for them.

Authors:  Sajad Khodabandelu; Zahra Basirat; Sara Khaleghi; Soraya Khafri; Hussain Montazery Kordy; Masoumeh Golsorkhtabaramiri
Journal:  BMC Med Inform Decis Mak       Date:  2022-09-01       Impact factor: 3.298

3.  Correlations between elevated basal sperm DNA fragmentation and the clinical outcomes in women undergoing IUI.

Authors:  Chunhui Zhu; Shengmin Zhang; Fang Chen; Hong She; Yun Ju; Xidong Wen; Yurong Ji; Yu Pan; Chunxia Yang; Yan Sun; Naijun Dong; Kaifeng Liu; Feng Li; Tongmin Xue; Hengmi Cui
Journal:  Front Endocrinol (Lausanne)       Date:  2022-09-02       Impact factor: 6.055

4.  Predicting success of intrauterine insemination using a clinically based scoring system.

Authors:  Anna Lena Zippl; Alfons Wachter; Patrick Rockenschaub; Bettina Toth; Beata Seeber
Journal:  Arch Gynecol Obstet       Date:  2022-09-07       Impact factor: 2.493

  4 in total

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