Hum. Reprod. Advance Access originally published online on June 24, 2005
Human Reproduction 2005 20(10):2932-2934; doi:10.1093/humrep/dei131
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© The Author 2005. Published by Oxford University Press on behalf of the European Society of Human Reproduction and Embryology. All rights reserved. For Permissions, please email: journals.permissions@oupjournals.org
Embryology |
Associate editors comment on The implantation of every embryo facilitates the chances of the remaining embryos to implant in an IVF program: a mathematical model to predict pregnancy and multiple pregnancy rates by Matorras et al.
Associate editors commentary: Mathematical modelling and clinical prediction
Departments of Obstetrics and Gynecology, McMaster University, Hamilton, Ontario and Obstetrics and Gynaecology, Dalhousie University, Halifax, Canada
E-mail: collinsj@auracom.com
Key words: implantation rate/mathematical model/multiple pregnancy/prediction
| The first 150 words of the full text of this article appear below. |
Wider utilization of assisted reproductive technology and better success rates are good news, but with more live births there is an increasing need to reduce multiple births. Multiple birth is a public health problem because assisted reproductive technology twins are common (2030% of registry births), they are associated with high rates of pre-term birth (7% <32 weeks and 48% <37 weeks), and they encounter more health problems during infancy and childhood (Scholz et al., 1999
; Helmerhorst et al., 2004
). Prevention is important because twins and especially higher order gestations encounter more pregnancy losses, perinatal mortality, and long-term morbidity, and give rise to psychological, social and financial problems for multiple birth families. Nevertheless, preventing multiple birth in individual cases is difficult because of our inability to identify accurately which patients or embryos are at high risk (ESHRE Campus, 2001
). Until reproductive science discovers better predictors of