A prediction model for ongoing pregnancy after in vitro fertilization in couples with male subfertility

Janne Meije Van Weert, Sjoerd Repping, Jan Willem Van Der Steeg, Pieternel Steures, Fulco Van Der Veen, Ben Willem Mol

Research output: Contribution to journalArticle

16 Citations (Scopus)

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. STUDY DESIGN: 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 ASA (Model II) resulted in the selection of 79 couples, of whom still 55 conceived (30% per cycle). CONCLUSION: In couples with male subfertility, the use of a prediction model including ASA improves the efficiency of IVF.

LanguageEnglish
Pages250-256
Number of pages7
JournalJournal of Reproductive Medicine for the Obstetrician and Gynecologist
Volume53
Issue number4
Publication statusPublished - Apr 2008
Externally publishedYes

Keywords

  • Antisperm antibodies
  • In vitro fertilization
  • Male subfertility
  • Sperm count

ASJC Scopus subject areas

  • Obstetrics and Gynaecology
  • Reproductive Medicine

Cite this

Van Weert, J. M., Repping, S., Van Der Steeg, J. W., Steures, P., Van Der Veen, F., & Mol, B. W. (2008). A prediction model for ongoing pregnancy after in vitro fertilization in couples with male subfertility. Journal of Reproductive Medicine for the Obstetrician and Gynecologist, 53(4), 250-256.
Van Weert, Janne Meije ; Repping, Sjoerd ; Van Der Steeg, Jan Willem ; Steures, Pieternel ; Van Der Veen, Fulco ; Mol, Ben Willem. / A prediction model for ongoing pregnancy after in vitro fertilization in couples with male subfertility. In: Journal of Reproductive Medicine for the Obstetrician and Gynecologist. 2008 ; Vol. 53, No. 4. pp. 250-256.
@article{908a874a5f1d435d8fe1f0aab5c304a4,
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. STUDY DESIGN: 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 ASA (Model II) resulted in the selection of 79 couples, of whom still 55 conceived (30{\%} per cycle). CONCLUSION: In couples with male subfertility, the use of a prediction model including ASA improves the efficiency of IVF.",
keywords = "Antisperm antibodies, In vitro fertilization, Male subfertility, Sperm count",
author = "{Van Weert}, {Janne Meije} and Sjoerd Repping and {Van Der Steeg}, {Jan Willem} and Pieternel Steures and {Van Der Veen}, Fulco and Mol, {Ben Willem}",
year = "2008",
month = "4",
language = "English",
volume = "53",
pages = "250--256",
journal = "Journal of Reproductive Medicine for the Obstetrician and Gynecologist",
issn = "0024-7758",
publisher = "Donna Kessel",
number = "4",

}

Van Weert, JM, Repping, S, Van Der Steeg, JW, Steures, P, Van Der Veen, F & Mol, BW 2008, 'A prediction model for ongoing pregnancy after in vitro fertilization in couples with male subfertility', Journal of Reproductive Medicine for the Obstetrician and Gynecologist, vol. 53, no. 4, pp. 250-256.

A prediction model for ongoing pregnancy after in vitro fertilization in couples with male subfertility. / Van Weert, Janne Meije; Repping, Sjoerd; Van Der Steeg, Jan Willem; Steures, Pieternel; Van Der Veen, Fulco; Mol, Ben Willem.

In: Journal of Reproductive Medicine for the Obstetrician and Gynecologist, Vol. 53, No. 4, 04.2008, p. 250-256.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A prediction model for ongoing pregnancy after in vitro fertilization in couples with male subfertility

AU - Van Weert, Janne Meije

AU - Repping, Sjoerd

AU - Van Der Steeg, Jan Willem

AU - Steures, Pieternel

AU - Van Der Veen, Fulco

AU - Mol, Ben Willem

PY - 2008/4

Y1 - 2008/4

N2 - 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. STUDY DESIGN: 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 ASA (Model II) resulted in the selection of 79 couples, of whom still 55 conceived (30% per cycle). CONCLUSION: In couples with male subfertility, the use of a prediction model including ASA improves the efficiency of IVF.

AB - 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. STUDY DESIGN: 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 ASA (Model II) resulted in the selection of 79 couples, of whom still 55 conceived (30% per cycle). CONCLUSION: In couples with male subfertility, the use of a prediction model including ASA improves the efficiency of IVF.

KW - Antisperm antibodies

KW - In vitro fertilization

KW - Male subfertility

KW - Sperm count

UR - http://www.scopus.com/inward/record.url?scp=43149126340&partnerID=8YFLogxK

M3 - Article

VL - 53

SP - 250

EP - 256

JO - Journal of Reproductive Medicine for the Obstetrician and Gynecologist

T2 - Journal of Reproductive Medicine for the Obstetrician and Gynecologist

JF - Journal of Reproductive Medicine for the Obstetrician and Gynecologist

SN - 0024-7758

IS - 4

ER -