Literature DB >> 30085143

Predicting the cumulative chance of live birth over multiple complete cycles of in vitro fertilization: an external validation study.

J A Leijdekkers1, M J C Eijkemans2, T C van Tilborg1, S C Oudshoorn1, D J McLernon3, S Bhattacharya4, B W J Mol5, F J M Broekmans1, H L Torrance1.   

Abstract

STUDY QUESTION: Are the published pre-treatment and post-treatment McLernon models, predicting cumulative live birth rates (LBR) over multiple complete IVF cycles, valid in a different context? SUMMARY ANSWER: With minor recalibration of the pre-treatment model, both McLernon models accurately predict cumulative LBR in a different geographical context and a more recent time period. WHAT IS KNOWN ALREADY: Previous IVF prediction models have estimated the chance of a live birth after a single fresh embryo transfer, thereby excluding the important contribution of embryo cryopreservation and subsequent IVF cycles to cumulative LBR. In contrast, the recently developed McLernon models predict the cumulative chance of a live birth over multiple complete IVF cycles at two certain time points: (i) before initiating treatment using baseline characteristics (pre-treatment model) and (ii) after the first IVF cycle adding treatment related information to update predictions (post-treatment model). Before implementation of these models in clinical practice, their predictive performance needs to be validated in an independent cohort. STUDY DESIGN, SIZE, DURATION: External validation study in an independent prospective cohort of 1515 Dutch women who participated in the OPTIMIST study (NTR2657) and underwent their first IVF treatment between 2011 and 2014. Participants underwent a total of 2881 complete treatment cycles, with a complete cycle defined as all fresh and frozen thawed embryo transfers resulting from one episode of ovarian stimulation. The follow up duration was 18 months after inclusion, and the primary outcome was ongoing pregnancy leading to live birth. PARTICIPANTS/MATERIALS, SETTING,
METHODS: Model performance was externally validated up to three complete treatment cycles, using the linear predictor as described by McLernon et al. to calculate the probability of a live birth. Discrimination was expressed by the c-statistic and calibration was depicted graphically in a calibration plot. In contrast to the original model development cohort, anti-Müllerian hormone (AMH), antral follicle count (AFC) and body weight were available in the OPTIMIST cohort, and evaluated as potential additional predictors for model improvement. MAIN RESULTS AND THE ROLE OF CHANCE: Applying the McLernon models to the OPTIMIST cohort, the c-statistic of the pre-treatment model was 0.62 (95% CI: 0.59-0.64) and of the post-treatment model 0.71 (95% CI: 0.69-0.74). The calibration plot of the pre-treatment model indicated a slight overestimation of the cumulative LBR. To improve calibration, the pre-treatment model was recalibrated by subtracting 0.35 from the intercept. The post-treatment model calibration plot revealed accurate cumulative LBR predictions. After addition of AMH, AFC and body weight to the McLernon models, the c-statistic of the updated pre-treatment model improved slightly to 0.66 (95% CI: 0.64-0.68), and of the updated post-treatment model remained at the previous level of 0.71 (95% CI: 0.69-0.73). Using the recalibrated pre-treatment model, a woman aged 30 years with 2 years of primary infertility who starts ICSI treatment for male factor infertility has a chance of 40% of a live birth from the first complete cycle, increasing to 72% over three complete cycles. If this woman weighs 70 kg, has an AMH of 1.5 ng/mL and an AFC of 10 measured at the beginning of her treatment, the updated pre-treatment model revises the estimated chance of a live birth to 30% in the first complete cycle and 59% over three complete cycles. If this woman then has five retrieved oocytes, no embryos cryopreserved and a single fresh cleavage stage embryo transfer in her first ICSI cycle, the post-treatment model estimates the chances of a live birth at 28 and 58%, respectively. LIMITATIONS, REASONS FOR CAUTION: Two randomized controlled trials (RCT) evaluating the effectiveness of gonadotropin dose individualization on basis of the AFC were nested within the OPTIMIST study. The strict dosing regimens, the RCT in- and exclusion criteria and the limited follow up time of 18 months might have influenced model performance in this independent cohort. Also, consistent with the original model development study, external validation was performed using the optimistic assumption that the cumulative LBR in couples who discontinue treatment without a live birth would have been equal to that of those who continue treatment. WIDER IMPLICATIONS OF THE
FINDINGS: After national recalibration to account for geographical differences in IVF treatment, the McLernon prediction models can be introduced as new counselling tools in clinical practice to inform patients and to complement clinical reasoning. These models are the first to offer an objective and personalized estimate of the cumulative probability of a live birth over multiple complete IVF cycles. STUDY FUNDING/COMPETING INTEREST(S): No external funds were obtained for this study. M.J.C.E., D.J.M. and S.B. have nothing to disclose. J.A.L, S.C.O, T.C.v.T. and H.LT. received an unrestricted personal grant from Merck BV. B.W.M. is supported by a NHMRC Practitioner Fellowship (GNT1082548) and reports consultancy for ObsEva, Merck and Guerbet. F.J.M.B. receives monetary compensation as a member of the external advisory board for Merck BV (the Netherlands) and Ferring pharmaceutics BV (the Netherlands), for consultancy work for Gedeon Richter (Belgium) and Roche Diagnostics on automated AMH assay development, and for a research cooperation with Ansh Labs (USA). TRIAL REGISTRATION NUMBER: Not applicable.

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Year:  2018        PMID: 30085143     DOI: 10.1093/humrep/dey263

Source DB:  PubMed          Journal:  Hum Reprod        ISSN: 0268-1161            Impact factor:   6.918


  21 in total

1.  Cumulative probabilities of live birth across multiple complete IVF/ICSI cycles: a call for attention.

Authors:  Juan J Tarín; Eva Pascual; Santiago Pérez-Hoyos; Raúl Gómez; Miguel A García-Pérez; Antonio Cano
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2.  Idiopathic early ovarian aging: is there a relation with premenopausal accelerated biological aging in young women with diminished response to ART?

Authors:  Mette W Christensen; David L Keefe; Fang Wang; Christine S Hansen; Isaac J Chamani; Carolyn Sommer; Mette Nyegaard; Palle D Rohde; Anders L Nielsen; Jonas Bybjerg-Grauholm; Ulrik S Kesmodel; Ulla B Knudsen; Kirstine Kirkegaard; Hans Jakob Ingerslev
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3.  A predictive model for women's assisted fecundity before starting the first IVF/ICSI treatment cycle.

Authors:  Juan J Tarín; Eva Pascual; Miguel A García-Pérez; Raúl Gómez; Juan J Hidalgo-Mora; Antonio Cano
Journal:  J Assist Reprod Genet       Date:  2019-12-03       Impact factor: 3.412

4.  A validated prediction score for having two or more embryos for cryopreservation following freeze-all IVF cycles: an analysis utilizing SART CORS database.

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Review 5.  Uterus transplantation: state of the art in 2021.

Authors:  Elliott G Richards; Ruth M Farrell; Stephanie Ricci; Uma Perni; Cristiano Quintini; Andreas Tzakis; Tommaso Falcone
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6.  Preimplantation Genetic Testing for Monogenic Kidney Disease.

Authors:  Rozemarijn Snoek; Marijn F Stokman; Klaske D Lichtenbelt; Theodora C van Tilborg; Cindy E Simcox; Aimée D C Paulussen; Jos C M F Dreesen; Franka van Reekum; A Titia Lely; Nine V A M Knoers; Christine E M de Die-Smulders; Albertien M van Eerde
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7.  Comparative effectiveness of recombinant human follicle-stimulating hormone alfa (r-hFSH-alfa) versus highly purified urinary human menopausal gonadotropin (hMG HP) in assisted reproductive technology (ART) treatments: a non-interventional study in Germany.

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8.  Individualized ovarian stimulation in IVF/ICSI treatment: it is time to stop using high FSH doses in predicted low responders.

Authors:  Jori A Leijdekkers; Helen L Torrance; Nienke E Schouten; Theodora C van Tilborg; Simone C Oudshoorn; Ben Willem J Mol; Marinus J C Eijkemans; Frank J M Broekmans
Journal:  Hum Reprod       Date:  2020-09-01       Impact factor: 6.918

9.  Possible Reasons for Discontinuation of Therapy: an Analysis of 571 071 Treatment Cycles From the German IVF Registry.

Authors:  Vera K Kreuzer; Markus Kimmel; Julia Schiffner; Ute Czeromin; Andreas Tandler-Schneider; Jan-Steffen Krüssel
Journal:  Geburtshilfe Frauenheilkd       Date:  2018-10-19       Impact factor: 2.915

10.  Personalized prediction of live birth prior to the first in vitro fertilization treatment: a machine learning method.

Authors:  Jiahui Qiu; Pingping Li; Meng Dong; Xing Xin; Jichun Tan
Journal:  J Transl Med       Date:  2019-09-23       Impact factor: 5.531

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