Thursday, April 14, 2011

Reducing the incidence of twins from IVF treatments: predictive modelling from a retrospective cohort

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Stephen A. Roberts1,*, Linda McGowan2, W. Mark Hirst1, Andy Vail1, Anthony Rutherford3, Brian A. Lieberman4,5,6, Daniel R. Brison4 and the towardSET collaboration
1Health Sciences—Methodology, University of Manchester, Manchester Academic Health Science Centre (MAHSC), Manchester M13 9WL, UK
2School of Nursing, Midwifery and Social Work, University of Manchester, MAHSC, Manchester M13 9WL, UK
3Leeds Centre for Reproductive Medicine, Leeds Teaching Hospitals NHS Trust, Seacroft Hospital, Leeds LS14 6UH, UK
4University of Manchester, MAHSC, St Mary's Hospital, Manchester, UK
5Department of Reproductive Medicine, St Mary's Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester, UK
6Manchester Fertility Services, 120 Princess Road, Manchester M15 5AT, UK *Correspondence address. E-mail: steve.roberts{at}manchester.ac.uk?† Jan Hogg (The Leeds Centre for Reproductive Medicine); Steve Troup and Natalie Scott (The Hewitt Centre for Reproductive Medicine, Liverpool); Cheryl Fitzgerald and Helen Hunter (St Marys Hospital, Manchester); Debbie Falconer and Brian Lieberman (Manchester Fertility Services); Jane Saxton (Centre for Reproductive Medicine and Fertility, Sheffield).

Received July 14, 2010. Revision received October 15, 2010. Accepted October 26, 2010. BACKGROUND IVF treatments carry a high risk of twin pregnancy which confers a higher risk to the mother and child than singletons. Increased use of elective single embryo transfer (eSET) can reduce this twin rate. We aimed to utilize a previously published data set and statistical model based on routinely collected clinical data to predict the outcomes of policies that increase the proportion of eSET.

METHODS The models allow simultaneous prediction of outcomes from double embryo transfer (DET) and SET. These models were used to predict outcomes for different scenarios using SET in both the initial (fresh) transfer and over a complete cycle (transfer of all embryos created, with cryopreservation). A total of 16 096 cycles (12 487 fresh and 3609 frozen) from 9040 couples treated between 2000 and 2005 were included in the final analyses.

RESULTS For any transfer, SET has about a one-third lower live birth rate relative to DET: this can be partially mitigated by appropriate patient and treatment cycle selection, with several realistic policies performing similarly. However, if we consider complete cycles with embryo cryopreservation, it is possible for repeat SET to produce more live births per egg retrieval than repeat DET.

CONCLUSIONS All patients receiving SET would have a higher chance of successful treatment in that cycle if they received DET. The selection of appropriate patients for SET can partially ameliorate the overall loss. For complete cycles, repeat SET could produce more live births per egg retrieval than repeat DET. All treatments involving SET will increase the number of treatments required to achieve a successful outcome and this extra treatment burden will be a significant barrier to the implementation of such treatments.

© The Author 2010. 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@oup.com This ArticleHum. Reprod. (2011) 26 (3): 569-575. doi: 10.1093/humrep/deq352 First published online: December 16, 2010

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