More is not always better–lower estradiol to mature oocyte ratio improved IVF outcomes

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Abstract

Aim

To find a cut-off ratio of estradiol/metaphase II oocyte (E2/M2) ratio and to evaluate the correlation with patients’ characteristics, embryo morphokinetics using EmbryoScope™ and IVF cycle outcomes.

Material and methods

For this retrospective cohort study, records of all fresh cycles that were cultured and scored by EmbryoScope™ were evaluated. The peak E2/M2 ratio was calculated on the day of human chorionic gonadotropin (hCG) administration and correlated to embryo morphokinetic quality and cycle outcomes. A receiver operating characteristics analysis was calculated for the E2/M2 ratio and clinical pregnancy rates.

Results

A total of 2461 oocytes were collected from 319 patients. Receiver operating characteristics analysis revealed a cutoff of 204 as a discriminative point to predict clinical pregnancy with a sensitivity of 69.5% and specificity of 62.1% ( P < 0.001). E2/M2 > 204 group were older, had higher E2 concentration, fewer M2 oocytes despite elevated gonadotrophin doses. E2/M2 ratio ≤ 204 was correlated with higher fertilization rate, better embryo quality, higher pregnancy and live birth rates, and more frozen embryos.

Conclusion

E2/M2 ratio < 204 yielded the best probability to achieve good quality embryos with good morphokinetic scores and better pregnancy outcomes and may be used to predict IVF cycle outcomes. Advanced maternal age and low ovarian response received higher concentrations of gonadotrophins, which resulted in higher E2/M2 ratio. Milder stimulation to those patients may improve their cycle outcomes.

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Most cited references 26

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The use of morphokinetics as a predictor of embryo implantation.

Marcos Meseguer, Javier Herrero, Alberto Tejera … (2011)

Time-lapse observation presents an opportunity for optimizing embryo selection based on morphological grading as well as providing novel kinetic parameters, which may further improve accurate selection of viable embryos. The objective of this retrospective study was to identify the morphokinetic parameters specific to embryos that were capable of implanting. In order to compare a large number of embryos, with minimal variation in culture conditions, we have used an automatic embryo monitoring system. Using a tri-gas IVF incubator with a built-in camera designed to automatically acquire images at defined time points, we have simultaneously monitored up to 72 individual embryos without removing the embryos from the controlled environment. Images were acquired every 15 min in five different focal planes for at least 64 h for each embryo. We have monitored the development of transferred embryos from 285 couples undergoing their first ICSI cycle. The total number of transferred embryos was 522, of which 247 either failed to implant or fully implanted, with full implantation meaning that all transferred embryos in a treatment implanted. A detailed retrospective analysis of cleavage times, blastomere size and multinucleation was made for the 247 transferred embryos with either failed or full implantation. We found that several parameters were significantly correlated with subsequent implantation (e.g. time of first and subsequent cleavages as well as the time between cleavages). The most predictive parameters were: (i) time of division to 5 cells, t5 (48.8-56.6 h after ICSI); (ii) time between division to 3 cells and subsequent division to 4 cells, s2 (≤ 0.76 h) and (iii) duration of cell cycle two, i.e. time between division to 2 cells and division to 3 cells, cc2 (≤ 11.9 h). We also observed aberrant behavior such as multinucleation at the 4 cell stage, uneven blastomere size at the 2 cell stage and abrupt cell division to three or more cells, which appeared to largely preclude implantation. The image acquisition and time-lapse analysis system makes it possible to determine exact timing of embryo cleavages in a clinical setting. We propose a multivariable model based on our findings to classify embryos according to their probability of implantation. The efficacy of this classification will be evaluated in a prospective randomized study that ultimately will determine if implantation rates can be improved by time-lapse analysis.

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Development of a generally applicable morphokinetic algorithm capable of predicting the implantation potential of embryos transferred on Day 3

Bjørn Molt Petersen, Mikkel Boel, Markus MONTAG … (2016)

STUDY QUESTION Can a generally applicable morphokinetic algorithm suitable for Day 3 transfers of time-lapse monitored embryos originating from different culture conditions and fertilization methods be developed for the purpose of supporting the embryologist's decision on which embryo to transfer back to the patient in assisted reproduction? SUMMARY ANSWER The algorithm presented here can be used independently of culture conditions and fertilization method and provides predictive power not surpassed by other published algorithms for ranking embryos according to their blastocyst formation potential. WHAT IS KNOWN ALREADY Generally applicable algorithms have so far been developed only for predicting blastocyst formation. A number of clinics have reported validated implantation prediction algorithms, which have been developed based on clinic-specific culture conditions and clinical environment. However, a generally applicable embryo evaluation algorithm based on actual implantation outcome has not yet been reported. STUDY DESIGN, SIZE, DURATION Retrospective evaluation of data extracted from a database of known implantation data (KID) originating from 3275 embryos transferred on Day 3 conducted in 24 clinics between 2009 and 2014. The data represented different culture conditions (reduced and ambient oxygen with various culture medium strategies) and fertilization methods (IVF, ICSI). The capability to predict blastocyst formation was evaluated on an independent set of morphokinetic data from 11 218 embryos which had been cultured to Day 5. PARTICIPANTS/MATERIALS, SETTING, METHODS The algorithm was developed by applying automated recursive partitioning to a large number of annotation types and derived equations, progressing to a five-fold cross-validation test of the complete data set and a validation test of different incubation conditions and fertilization methods. The results were expressed as receiver operating characteristics curves using the area under the curve (AUC) to establish the predictive strength of the algorithm. MAIN RESULTS AND THE ROLE OF CHANCE By applying the here developed algorithm (KIDScore), which was based on six annotations (the number of pronuclei equals 2 at the 1-cell stage, time from insemination to pronuclei fading at the 1-cell stage, time from insemination to the 2-cell stage, time from insemination to the 3-cell stage, time from insemination to the 5-cell stage and time from insemination to the 8-cell stage) and ranking the embryos in five groups, the implantation potential of the embryos was predicted with an AUC of 0.650. On Day 3 the KIDScore algorithm was capable of predicting blastocyst development with an AUC of 0.745 and blastocyst quality with an AUC of 0.679. In a comparison of blastocyst prediction including six other published algorithms and KIDScore, only KIDScore and one more algorithm surpassed an algorithm constructed on conventional Alpha/ESHRE consensus timings in terms of predictive power. LIMITATIONS, REASONS FOR CAUTION Some morphological assessments were not available and consequently three of the algorithms in the comparison were not used in full and may therefore have been put at a disadvantage. Algorithms based on implantation data from Day 3 embryo transfers require adjustments to be capable of predicting the implantation potential of Day 5 embryo transfers. The current study is restricted by its retrospective nature and absence of live birth information. Prospective Randomized Controlled Trials should be used in future studies to establish the value of time-lapse technology and morphokinetic evaluation. WIDER IMPLICATIONS OF THE FINDINGS Algorithms applicable to different culture conditions can be developed if based on large data sets of heterogeneous origin. STUDY FUNDING/COMPETING INTEREST(S) This study was funded by Vitrolife A/S, Denmark and Vitrolife AB, Sweden. B.M.P.’s company BMP Analytics is performing consultancy for Vitrolife A/S. M.B. is employed at Vitrolife A/S. M.M.’s company ilabcomm GmbH received honorarium for consultancy from Vitrolife AB. D.K.G. received research support from Vitrolife AB.

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High serum oestradiol concentrations in IVF cycles increase the risk of pregnancy complications related to abnormal placentation.

Jacob Farhi, Avi Haroush, Nejmi Andrawus … (2010)

The study was designed to evaluate the isolated effect of high serum oestradiol concentration on human chorionic gonadotrophin (HCG) day in IVF cycles on endometrial receptivity and placentation. A retrospective cohort included all women attending the IVF unit in 2006 and 2007, with the best prognosis to achieve pregnancy: age (<38 years), less than three IVF cycles, transfer of two highest grade embryos and no evidence of factors known to impair implantation or that are associated with increased risk of pregnancy complications. The total included 280 patients were categorized into three groups according to their serum oestradiol concentration on HCG day: group 1, oestradiol <5000 pmol/l, group 2, oestradiol in the range 5000-10,000 pmol/l and group 3, oestradiol in the range of 10,000-15,000 pmol/l. No significant differences were found between the groups in implantation, pregnancy and abortion rates. The high oestradiol group was characterized by high rate (20.8%) of pregnancy complications related to abnormal placentation--fetal growth restriction, pregnancy-induced hypertension and abnormal implantation of the placenta. Hence, the decision to perform embryo transfer in high-responder patients should take into consideration both possible risks of ovarian hyperstimulation syndrome and pregnancy complications related to abnormal placentation. Copyright © 2010 Reproductive Healthcare Ltd. Published by Elsevier Ltd. All rights reserved.

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Author and article information

Journal

Journal ID (nlm-ta): Endocr Connect

Journal ID (iso-abbrev): Endocr Connect

Journal ID (hwp): EC

Title: Endocrine Connections

Publisher: Bioscientifica Ltd (Bristol )

ISSN (Electronic): 2049-3614

Publication date Collection: February 2021

Publication date (Electronic): 05 January 2021

Volume: 10

Issue: 2

Pages: 146-153

Affiliations

[1 ]Department of Obstetrics and Gynecology , MDIVF Unit, Hillel Yaffe Medical Center, IsraelTechnion – Israel Institute of Technology, Hadera, Haifa, Israel

Author notes

Correspondence should be addressed to E Shalom-Paz: einatshalompaz@ 123456gmail.com

Article

Publisher ID: EC-20-0435

DOI: 10.1530/EC-20-0435

PMC ID: 7983485

PubMed ID: 33416511

SO-VID: 2ed607e3-a5f0-46d0-acba-013201c75677

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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More is not always better–lower estradiol to mature oocyte ratio improved IVF outcomes

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Material and methods

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Most cited references 26

The use of morphokinetics as a predictor of embryo implantation.

Development of a generally applicable morphokinetic algorithm capable of predicting the implantation potential of embryos transferred on Day 3

High serum oestradiol concentrations in IVF cycles increase the risk of pregnancy complications related to abnormal placentation.

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