Literature DB >> 26930619

Predictive value of sperm morphology and progressively motile sperm count for pregnancy outcomes in intrauterine insemination.

Louise Lemmens1, Snjezana Kos2, Cornelis Beijer3, Jacoline W Brinkman4, Frans A L van der Horst5, Leonie van den Hoven6, Dorit C Kieslinger7, Netty J van Trooyen-van Vrouwerff8, Albert Wolthuis9, Jan C M Hendriks10, Alex M M Wetzels6.   

Abstract

OBJECTIVE: To investigate the value of sperm parameters to predict an ongoing pregnancy outcome in couples treated with intrauterine insemination (IUI), during a methodologically stable period of time.
DESIGN: Retrospective, observational study with logistic regression analyses.
SETTING: University hospital. PATIENT(S): A total of 1,166 couples visiting the fertility laboratory for their first IUI episode, including 4,251 IUI cycles. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Sperm morphology, total progressively motile sperm count (TPMSC), and number of inseminated progressively motile spermatozoa (NIPMS); odds ratios (ORs) of the sperm parameters after the first IUI cycle and the first finished IUI episode; discriminatory accuracy of the multivariable model. RESULT(S): None of the sperm parameters was of predictive value for pregnancy after the first IUI cycle. In the first finished IUI episode, a positive relationship was found for ≤4% of morphologically normal spermatozoa (OR 1.39) and a moderate NIPMS (5-10 million; OR 1.73). Low NIPMS showed a negative relation (≤1 million; OR 0.42). The TPMSC had no predictive value. The multivariable model (i.e., sperm morphology, NIPMS, female age, male age, and the number of cycles in the episode) had a moderate discriminatory accuracy (area under the curve 0.73). CONCLUSION(S): Intrauterine insemination is especially relevant for couples with moderate male factor infertility (sperm morphology ≤4%, NIPMS 5-10 million). In the multivariable model, however, the predictive power of these sperm parameters is rather low.
Copyright © 2016 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  IUI; Intrauterine insemination; prognostic value; semen analysis

Mesh:

Year:  2016        PMID: 26930619     DOI: 10.1016/j.fertnstert.2016.02.012

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


  25 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 on the origin of sperm morphological defects: oxidative attacks, chromatin immaturity, and DNA fragmentation.

Authors:  Ammar Oumaima; Ajina Tesnim; Haouas Zohra; Sallem Amira; Zidi Ines; Chakroun Sana; Grissa Intissar; Ezzi Lobna; Jlali Ali; Mehdi Meriem
Journal:  Environ Sci Pollut Res Int       Date:  2018-03-05       Impact factor: 4.223

3.  [Association of advanced oxidation protein products in seminal plasma with teratospermia and outcome parameters of in vitro fertilization].

Authors:  Jianwei Tian; Tingting Xie; Zhuolin Qiu; Jing Liu; Wenting Ye; Yali Song
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2019-08-30

4.  Intrauterine insemination cycles: prediction of success and thresholds for poor prognosis and futile care.

Authors:  Alessandra J Ainsworth; Emily P Barnard; Sarah C Baumgarten; Amy L Weaver; Zaraq Khan
Journal:  J Assist Reprod Genet       Date:  2020-08-15       Impact factor: 3.412

5.  Time intervals between semen production, initiation of analysis, and IUI significantly influence clinical pregnancies and live births.

Authors:  U Punjabi; H Van Mulders; L Van de Velde; I Goovaerts; K Peeters; W Cassauwers; T Lyubetska; K Clasen; P Janssens; O Zemtsova; E Roelant; D De Neubourg
Journal:  J Assist Reprod Genet       Date:  2021-01-05       Impact factor: 3.412

6.  Evaluation of Prognostic Factors for Clinical Pregnancy Rate Following Artificial Insemination by Husband in the Chinese Population.

Authors:  Yumei Luo; Shunhong Wu; Jingru Yuan; Hua Zhou; Yufang Zhong; Mimi Zhang; Qing Li; Xia Xu; Xiaofang Sun; Detu Zhu
Journal:  Front Med (Lausanne)       Date:  2021-05-10

7.  In vitro fertilisation (IVF) versus intracytoplasmic sperm injection (ICSI) in patients without severe male factor infertility: study protocol for the randomised, controlled, multicentre trial INVICSI.

Authors:  Sine Berntsen; Bugge Nøhr; Marie Louise Grøndahl; Morten Rønn Petersen; Lars Franch Andersen; Anne Lis Englund; Ulla Breth Knudsen; Lisbeth Prætorius; Anne Zedeler; Henriette Svarre Nielsen; Anja Pinborg; Nina La Cour Freiesleben
Journal:  BMJ Open       Date:  2021-06-24       Impact factor: 2.692

8.  The Use of Pooled Consecutive Ejaculates in Moderate Male Factor Infertility to Increase Intrauterine Insemination Success.

Authors:  Sumana Gurunath; Swathi Gundlapalli; John Louis
Journal:  J Hum Reprod Sci       Date:  2021-06-28

9.  Sperm morphology from the actual inseminated sample does not predict clinical pregnancy following intrauterine insemination.

Authors:  Jamie Stanhiser; Jennifer E Mersereau; Daquan Dock; Caitlin Boylan; Hunter Caprell; R Matthew Coward; Dara S Berger; Marc Fritz
Journal:  F S Rep       Date:  2020-12-09

10.  Effect of Omega-3 or Omega-6 Dietary Supplementation on Testicular Steroidogenesis, Adipokine Network, Cytokines, and Oxidative Stress in Adult Male Rats.

Authors:  Amira Moustafa
Journal:  Oxid Med Cell Longev       Date:  2021-06-28       Impact factor: 6.543

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