Back to Search Start Over

A revised prediction model for natural conception

Authors :
Alexandra J. Bensdorp
Jan Willem van der Steeg
Pieternel Steures
J. Dik F. Habbema
Peter G.A. Hompes
Patrick M.M. Bossuyt
Fulco van der Veen
Ben W.J. Mol
Marinus J.C. Eijkemans
Y.M. van Kasteren
P.F.M. van der Heijden
W.A. Schöls
M.H. Mochtar
G.L.M. Lips
J. Dawson
H.R. Verhoeve
S. Milosavljevic
P.G.A. Hompes
L.J. van Dam
A.V. Sluijmer
H.E. Bobeck
R.E. Bernardus
M.C.S. Vermeer
J.P. Dörr
P.J.Q. van der Linden
H.J.M. Roelofs
J.M. Burggraaff
G.J.E. Oosterhuis
M.H. Schouwink
P.X.J.M. Bouckaert
F.M.C. Delemarre
C.J.C.M. Hamilton
M. van Hoven
M.H. Emanuel
C.N.M. Renckens
J.A. Land
J.H. Schagen-Van Leeuwen
J.A.M. Kremer
C. van Katwijk
M.H.A. van Hooff
H.J.H.M. Van Dessel
F.J.M. Broekmans
H.J.L.A. Ruis
C.A.M. Koks
P. Bourdrez
W.W.J. Riedijk
B.J. Cohlen
Public Health
Obstetrics and gynaecology
ACS - Atherosclerosis & ischemic syndromes
Amsterdam Reproduction & Development (AR&D)
Pediatric surgery
Obstetrics and Gynaecology
ARD - Amsterdam Reproduction and Development
APH - Personalized Medicine
APH - Methodology
Epidemiology and Data Science
Center for Reproductive Medicine
APH - Quality of Care
Other Research
Other departments
Source :
Reproductive Biomedicine Online, 34, 6, pp. 619-626, Reproductive Biomedicine Online, 34, 619-626, Reproductive Biomedicine Online, 34(6), 619. Elsevier, Reproductive BioMedicine Online, 34(6), 619-626. Elsevier, Bensdorp, A J, van der Steeg, J W, Steures, P, Habbema, J D F, Hompes, P G A, Bossuyt, P M M, van der Veen, F, Mol, B W J, Eijkemans, M J C & CECERM study group 2017, ' A revised prediction model for natural conception ', Reproductive BioMedicine Online, vol. 34, no. 6, pp. 619-626 . https://doi.org/10.1016/j.rbmo.2017.03.014, Reproductive biomedicine online, 34(6), 619-626. Elsevier
Publication Year :
2017

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 120%). All predictors of the Hunault model were selected into the revised model plus an additional seven Ivvoman'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 0.71 195% CI 0.69 to 0.731 compared with 0.59 195% CI 0.57 to 0.61). (C) 2017 Published by Elsevier Ltd on behalf of Reproductive Healthcare Ltd

Details

Language :
English
ISSN :
14726483
Volume :
34
Issue :
6
Database :
OpenAIRE
Journal :
Reproductive BioMedicine Online
Accession number :
edsair.doi.dedup.....1e5aeb4888ffaceccaf3521d4afee6a3
Full Text :
https://doi.org/10.1016/j.rbmo.2017.03.014