Predictive value of pregnancy history in subfertile couples: results from a nationwide cohort study in the Netherlands

Fertil Steril. 2008 Sep;90(3):521-7. doi: 10.1016/j.fertnstert.2007.07.1301. Epub 2007 Nov 5.

Abstract

Objective: To assess whether pregnancy history can predict the occurrence of a spontaneous ongoing pregnancy in subfertile couples.

Design: Prospective cohort study.

Setting: Thirty fertility centers in the Netherlands.

Patient(s): Subfertile, ovulatory women with at least one patent tube and male partners without severely impaired semen quality.

Intervention(s): Fertility work-up, including a detailed pregnancy history.

Main outcome measure(s): Spontaneous ongoing pregnancy.

Result(s): We included 4445 couples, of whom 793 (18%) had a spontaneous ongoing pregnancy within 1 year of follow-up. Previous live birth and miscarriage in current partnership were both associated with higher fecundity as compared with primary infertility (hazard rate ratios for spontaneous pregnancy [HR] 1.4; 95% CI, 1.2-1.7 and 1.3; 95% CI, 1.0-1.5, respectively). Pregnancies in a woman's previous partnerships did not affect the fecundity of the couple. A pregnancy in a previous partnership of the male partner was associated with lower fecundity (HR 0.76; 95% CI, 0.58-0.99). A previous pregnancy after fertility treatment also was associated with lower fecundity (HR 0.52; 95% CI, 0.30-0.90).

Conclusion(s): Accurate prediction of the future fertility of a couple requires an exact assessment of the fertility history of both partners.

Publication types

  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Cohort Studies
  • Female
  • Humans
  • Infertility / epidemiology*
  • Male
  • Middle Aged
  • Netherlands / epidemiology
  • Outcome Assessment, Health Care / methods*
  • Outcome Assessment, Health Care / statistics & numerical data
  • Pregnancy
  • Pregnancy Outcome / epidemiology*
  • Prognosis
  • Reproducibility of Results
  • Risk Assessment / methods*
  • Risk Factors
  • Sensitivity and Specificity