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Dynamic Prediction Models for Recurrent Pregnancy Loss

  • Leiden University
  • Amsterdam UMC

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

In the absence of evidence-based therapeutic options for the majority of couples with recurrent pregnancy loss (RPL) it is considered significant to offer supportive care, including reliable counseling regarding the prognosis of subsequent pregnancies. Currently, various prediction models are available, with a focus on couples with unexplained RPL. All of them having drawbacks like substantial risk of bias, lack of performance measures and applicability. A new prediction model, using more predictors, such as male predictors and focusing on cumulative live birth rates over a reasonable time period is currently needed. In addition, this model should have the ability to provide reliable predictions at later time points, a so-called dynamic prediction model.
Original languageEnglish
Title of host publicationEarly Pregnancy, Third Edition
PublisherCambridge University Press
Pages292-298
Number of pages7
ISBN (Electronic)9781009532549
ISBN (Print)9781009532501
DOIs
Publication statusPublished - 1 Jan 2025

Publication series

NameEarly Pregnancy, Third Edition

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Prediction model
  • Pregnancy
  • Recurrent pregnancy loss
  • Supportive care

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