title: The postwash total progressively motile sperm cell count is a reliable predictor of total fertilization failure during in vitro fertilization treatment.
abstract: OBJECTIVE
  To predict the chance of total fertilization failure (TFF) before the day of ovum pickup with known semen and female variables.
  
  
  METHODS
  A statistical model was constructed to predict TFF by retrospective analysis (2,366 couples) and subsequently tested on a new IVF population (917 couples).
  
  
  METHODS
  Academic tertiary referral center.
  
  
  METHODS
  Three thousand three hundred eighty-three couples who underwent an IVF-ET treatment.
  
  
  METHODS
  None.
  
  
  METHODS
  The ability to predict the probability of TFF in IVF.
  
  
  RESULTS
  Two variables-postwash total progressively motile sperm cell count (postwash TPMC) and number of follicles-were found to be significant. Taking a probability of 25% as an acceptable risk of TFF, we calculated that a postwash TPMC of <1.1 x 10(6) cells results in a risk of TFF of >25%. Low responders (<4 follicles) needed a postwash TPMC of >2.2 x 10(6) cells to reduce the risk of TFF to <25%. High responders (>15 follicles) needed only 0.35 x 10(6) postwash progressively motile spermatozoa.
  
  
  CONCLUSIONS
  When postwash TPMC and number of follicles are known and an unacceptable TFF outcome is expected, one can propose an ICSI procedure a few days before the day of ovum pickup.
authors.affiliation: IVF Center, Division of Reproductive Endocrinology and Fertility, Research Institute for Endocrinology, Reproduction, and Metabolism, Medical Center Vrije Universiteit, Amsterdam, The Netherlands.
authors.forename: J P
authors.initials: JP
authors.lastname: Rhemrev
authors.forename: J W
authors.initials: JW
authors.lastname: Lens
authors.forename: J
authors.initials: J
authors.lastname: McDonnell
authors.forename: J
authors.initials: J
authors.lastname: Schoemaker
authors.forename: J P
authors.initials: JP
authors.lastname: Vermeiden
mesh_terms: D005260:Female; D005307:Fertilization in Vitro; D005544:Forecasting; D006801:Humans; D008297:Male; D008954:Models, Biological; D012044:Regression Analysis; D012189:Retrospective Studies; D012307:Risk Factors; D012661:Semen / Q000502:physiology; D013076:Sperm Count; D013081:Sperm Motility; D017211:Treatment Failure