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      Semen parameters on the day of oocyte retrieval predict low fertilization during conventional insemination IVF cycles

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          Abstract

          Purpose

          Poor fertilization during conventional IVF is difficult to predict in the absence of abnormal semen parameters; large-scale studies are lacking. The purpose of this study is to evaluate factors associated with low fertilization rates in conventional insemination IVF cycles.

          Methods

          A retrospective cohort study evaluating demographic, reproductive evaluation, and IVF cycle characteristics to identify predictors of low fertilization (defined as 2PN/MII ≤ 30% per cycle). Participants were included if they were undergoing their first IVF cycle utilizing fresh autologous oocytes and conventional insemination with male partner’s sperm (with normal pretreatment semen analysis). They were randomly divided into a training set and a validation set; validation modeling with logistic regression and binary distribution was utilized to identify covariates associated with low fertilization.

          Results

          Postprocessing sperm concentration of less than 40 million/ml and postprocessing sperm motility < 50% on the day of retrieval were the strongest predictors of low fertilization in the training dataset. Next, in the validation set, cycles with either low postprocessing concentration (≤ 40 million/ml) or low postprocessing progressive motility (≤ 50%) were 2.9–times (95% CI 1.4, 6.2) more likely to have low fertilization than cycles without either risk factor. Furthermore, cycles with low postprocessing concentration and progressive motility were 13.4 times (95% CI 4.01, 45.06) more likely to have low fertilization than cycles without either risk factor.

          Conclusions

          Postprocessing concentration and progressive motility on the day of oocyte retrieval are predictive of low fertilization in conventional IVF cycles with normal pretreatment diagnostic semen analysis parameters.

          Electronic supplementary material

          The online version of this article (10.1007/s10815-018-1336-9) contains supplementary material, which is available to authorized users.

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          Author and article information

          Contributors
          amyharrismd@gmail.com
          Journal
          J Assist Reprod Genet
          J. Assist. Reprod. Genet
          Journal of Assisted Reproduction and Genetics
          Springer US (New York )
          1058-0468
          1573-7330
          10 November 2018
          February 2019
          : 36
          : 2
          : 291-298
          Affiliations
          [1 ] ISNI 0000 0004 0386 9924, GRID grid.32224.35, Massachusetts General Hospital Fertility Center, Vincent Memorial Obstetrics and Gynecology Service, ; 55 Fruit Street, YAW10A,, Boston, MA 02114 USA
          [2 ] ISNI 000000041936754X, GRID grid.38142.3c, Department of Obstetrics, Gynecology, and Reproductive Biology, , Harvard Medical School, ; Boston, MA 02115 USA
          [3 ] ISNI 000000041936754X, GRID grid.38142.3c, Department of Nutrition, , Harvard T.H. Chan School of Public Health, ; 665 Huntington Ave, Boston, MA 02115 USA
          [4 ] ISNI 000000041936754X, GRID grid.38142.3c, Department of Epidemiology, , Harvard T.H. Chan School of Public Health, ; 665 Huntington Ave, Boston, MA 02115 USA
          [5 ] ISNI 000000041936754X, GRID grid.38142.3c, Harvard Medical School, ; 25 Shattuck Street, Boston, MA 02115 USA
          [6 ] ISNI 0000 0004 0386 9924, GRID grid.32224.35, Department of Urology, , Massachusetts General Hospital, ; 55 Fruit Street, Boston, MA 02114 USA
          [7 ] ISNI 000000041936754X, GRID grid.38142.3c, Department of Surgery, , Harvard Medical School, ; Boston, MA 02115 USA
          [8 ] ISNI 0000 0004 0378 8294, GRID grid.62560.37, Channing Division of Network Medicine, Department of Medicine, , Brigham and Women’s Hospital and Harvard Medical School, ; 75 Francis St, Boston, MA 02115 USA
          Author information
          http://orcid.org/0000-0001-9140-7751
          Article
          PMC6420587 PMC6420587 6420587 1336
          10.1007/s10815-018-1336-9
          6420587
          30415469
          0e7b5364-c96f-41ca-b2a0-04c757847ad2
          © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2018
          History
          : 28 May 2018
          : 12 October 2018
          Categories
          Assisted Reproduction Technologies
          Custom metadata
          © Springer Science+Business Media, LLC, part of Springer Nature 2019

          Semen analysis,Assisted reproductive technologies,Conventional insemination,In vitro fertilization

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