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du Fossé NA, van der Hoorn MP, de Koning R, et al. Toward more accurate prediction of future pregnancy outcome in couples with unexplained recurrent pregnancy loss: taking both partners into account. Fertil Steril. 2021;117(1):144-152doi: 10.1016/j.fertnstert.2021.08.037.
du Fossé, N. A., van der Hoorn, M. P., de Koning, R., Mulders, A. G. M. G. J., van Lith, J. M. M., le Cessie, S., & Lashley, E. E. L. O. (2022). Toward more accurate prediction of future pregnancy outcome in couples with unexplained recurrent pregnancy loss: taking both partners into account. Fertility and sterility, 117(1), 144-152. https://doi.org/10.1016/j.fertnstert.2021.08.037
du Fossé, Nadia A, et al. "Toward more accurate prediction of future pregnancy outcome in couples with unexplained recurrent pregnancy loss: taking both partners into account." Fertility and sterility vol. 117,1 (2022): 144-152. doi: https://doi.org/10.1016/j.fertnstert.2021.08.037
du Fossé NA, van der Hoorn MP, de Koning R, Mulders AGMGJ, van Lith JMM, le Cessie S, Lashley EELO. Toward more accurate prediction of future pregnancy outcome in couples with unexplained recurrent pregnancy loss: taking both partners into account. Fertil Steril. 2022 Jan;117(1):144-152. doi: 10.1016/j.fertnstert.2021.08.037. Epub 2021 Dec 01. PMID: 34863518.
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Fertil Steril. 2022 Jan;117(1):144-152. doi: 10.1016/j.fertnstert.2021.08.037. Epub 2021 Dec 01.

Toward more accurate prediction of future pregnancy outcome in couples with unexplained recurrent pregnancy loss: taking both partners into account.

Fertility and sterility

Nadia A du Fossé, Marie-Louise P van der Hoorn, Rozemarijn de Koning, Annemarie G M G J Mulders, Jan M M van Lith, Saskia le Cessie, Eileen E L O Lashley

Affiliations

  1. Department of Gynaecology and Obstetrics, Leiden University Medical Center, Leiden, the Netherlands; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands. Electronic address: [email protected].
  2. Department of Gynaecology and Obstetrics, Leiden University Medical Center, Leiden, the Netherlands.
  3. Department of Obstetrics and Gynaecology, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands.
  4. Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands.

PMID: 34863518 DOI: 10.1016/j.fertnstert.2021.08.037

Abstract

OBJECTIVE: To identify, besides maternal age and the number of previous pregnancy losses, additional characteristics of couples with unexplained recurrent pregnancy loss (RPL) that improve the prediction of an ongoing pregnancy.

DESIGN: Hospital-based cohort study in couples who visited specialized RPL units of two academic centers between 2012 and 2020.

SETTING: Two academic centers in the Netherlands.

PATIENTS: Clinical data from 526 couples with unexplained RPL were used in this study.

INTERVENTION(S): None.

MAIN OUTCOME MEASURES: The final model to estimate the chance of a subsequent ongoing pregnancy was determined using a backward selection process and internally validated using bootstrapping. Model performance was assessed in terms of calibration and discrimination (area under the receiver operating characteristic curve).

RESULTS: Subsequent ongoing pregnancy was achieved in 345 of 526 couples (66%). The number of previous pregnancy losses, maternal age, paternal age, maternal body mass index, paternal body mass index, maternal smoking status, and previous in vitro fertilization/intracytoplasmic sperm injection treatment were predictive of the outcome. The optimism-corrected area under the receiver operating characteristic curve was 0.63 compared with 0.57 when using only the number of previous pregnancy losses and maternal age.

CONCLUSIONS: The identification of additional predictors of a subsequent ongoing pregnancy after RPL, including male characteristics, is significant for both clinicians and couples with RPL. At the same time, we showed that the predictive ability of the current model is still limited and more research is warranted to develop a model that can be used in clinical practice.

Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.

Keywords: Recurrent pregnancy loss; epidemiology; male factors; prediction model; recurrent miscarriage

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