title: A prediction model for ongoing pregnancy after in vitro fertilization in couples with male subfertility.
abstract: OBJECTIVE
  To assess the predictive capacity of male and female characteristics on in vitro fertilization (IVF) outcome in couples with male subfertility and to construct an IVF prediction model.
  
  
  METHODS
  We performed a cohort study including all couples with male subfertility undergoing IVF. The main outcome measure was an ongoing pregnancy after IVF. The baseline characteristics from a couple including parameters of the semen-analysis were included in a univariable and multivariable analysis to construct a prediction model (model I). The addition of antisperm antibodies (ASA) and post-wash total motile count (TMC) to models I, II and III, respectively, were analyzed.
  
  
  RESULTS
  We included 275 couples with male subfertility who underwent 473 IVF cycles with an ongoing pregnancy rate of 19% per cycle. A prediction model containing female age, secondary subfertility, percentage progressively motile sperm, percentage sperm with normal morphology, prewash total motile sperm count, bilateral tubal pathology, history of intrauterine insemination and cycle number was constructed (model I). Prediction with model I resulted in the selection of 95 couples, of whom 55 conceived (pregnancy rate of 28% per cycle). Use of the model with n ASA (Model II) resulted in the selection of 79 couples, of whom still 55 conceived (30% per cycle).
  
  
  CONCLUSIONS
  In couples with male subfertility, the use of a prediction model including ASA improves the efficiency of IVF.
authors.affiliation: Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Academic Medical Center, Amsterdam, The Netherlands. j.m.vanweert@amc.uva.nl
authors.forename: Janne-Meije
authors.initials: JM
authors.lastname: van Weert
authors.forename: Sjoerd
authors.initials: S
authors.lastname: Repping
authors.forename: Jan Willem
authors.initials: JW
authors.lastname: van der Steeg
authors.forename: Pieternel
authors.initials: P
authors.lastname: Steures
authors.forename: Fulco
authors.initials: F
authors.lastname: van der Veen
authors.forename: Ben Willem
authors.initials: BW
authors.lastname: Mol
mesh_terms: D000328:Adult; D000368:Aged; D001323:Autoantibodies / Q000097:blood; D015331:Cohort Studies; D005260:Female; D005307:Fertilization in Vitro; D006801:Humans; D007248:Infertility, Male / Q000150:complications* / Q000276:immunology; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D015999:Multivariate Analysis; D011247:Pregnancy; D018873:Pregnancy Rate; D012372:ROC Curve; D013076:Sperm Count; D013081:Sperm Motility; D013094:Spermatozoa / Q000276:immunology
chemical_list: D001323:Autoantibodies