Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/116221
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Type: Journal article
Title: A revised prediction model for natural conception
Author: Bensdorp, A.
van der Steeg, J.
Steures, P.
Habbema, J.
Hompes, P.
Bossuyt, P.
van der Veen, F.
Mol, B.
Eijkemans, M.
Citation: Reproductive Biomedicine Online, 2017; 34(6):619-626
Publisher: Elsevier
Issue Date: 2017
ISSN: 1472-6483
1472-6491
Statement of
Responsibility: 
Alexandra J.Bensdorp, Jan Willemvan der Steeg, Pieternel Steures, J. Dik F.Habbema, Peter G.A.Hompese, Patrick M.M.Bossuyt, Fulcovan der Veena, Ben W.J.Mol, Marinus J.C.Eijkemans
Abstract: One of the aims in reproductive medicine is to differentiate between couples that have favourable chances of conceiving naturally and those that do not. Since the development of the prediction model of Hunault, characteristics of the subfertile population have changed. The objective of this analysis was to assess whether additional predictors can refine the Hunault model and extend its applicability. Consecutive subfertile couples with unexplained and mild male subfertility presenting in fertility clinics were asked to participate in a prospective cohort study. We constructed a multivariable prediction model with the predictors from the Hunault model and new potential predictors. The primary outcome, natural conception leading to an ongoing pregnancy, was observed in 1053 women of the 5184 included couples (20%). All predictors of the Hunault model were selected into the revised model plus an additional seven (woman's body mass index, cycle length, basal FSH levels, tubal status,history of previous pregnancies in the current relationship (ongoing pregnancies after natural conception, fertility treatment or miscarriages), semen volume, and semen morphology. Predictions from the revised model seem to concur better with observed pregnancy rates compared with the Hunault model; c-statistic of 0.71 (95% CI 0.69 to 0.73) compared with 0.59 (95% CI 0.57 to 0.61).
Keywords: Natural conception
Prediction model
Prognosis
Subfertility
Rights: © 2017 Published by Elsevier Ltd on behalf of Reproductive Healthcare Ltd.
DOI: 10.1016/j.rbmo.2017.03.014
Published version: http://dx.doi.org/10.1016/j.rbmo.2017.03.014
Appears in Collections:Aurora harvest 3
Paediatrics publications

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