Hostname: page-component-76fb5796d-skm99 Total loading time: 0 Render date: 2024-04-28T16:33:25.164Z Has data issue: false hasContentIssue false

Evaluative effectiveness of follicular output rate, ovarian sensitivity index, and ovarian response prediction index for the ovarian reserve and response of low-prognosis patients according to the POSEIDON criteria: a retrospective study

Published online by Cambridge University Press:  22 September 2023

Zhilan Chen
Affiliation:
Centre for Reproductive Medicine, Wuhan Kangjian Maternal and Infant Hospital, Wuhan, China
Wei Li
Affiliation:
Centre for Reproductive Medicine, Wuhan Kangjian Maternal and Infant Hospital, Wuhan, China
Shufang Ma
Affiliation:
Centre for Reproductive Medicine, Wuhan Kangjian Maternal and Infant Hospital, Wuhan, China
Yanmin Li
Affiliation:
Centre for Reproductive Medicine, Wuhan Kangjian Maternal and Infant Hospital, Wuhan, China
Liqun Lv
Affiliation:
Centre for Reproductive Medicine, Wuhan Kangjian Maternal and Infant Hospital, Wuhan, China
Kecheng Huang*
Affiliation:
Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
Aidong Gong*
Affiliation:
Centre for Reproductive Medicine, Wuhan Kangjian Maternal and Infant Hospital, Wuhan, China
*
Corresponding authors: Aidong Gong; Email: 360299731@qq.com; Kecheng Huang; Email: huangkc@hust.edu.cn
Corresponding authors: Aidong Gong; Email: 360299731@qq.com; Kecheng Huang; Email: huangkc@hust.edu.cn

Summary

The aim was to explore the implications of follicular output rate (FORT), ovarian sensitivity index (OSI), ovarian response prediction index (ORPI), and follicle-to-oocyte index (FOI) in low-prognosis patients defined by POSEIDON criteria. In total, 4030 fresh in vitro fertilization (IVF) cycles from January 2013 to October 2021 were included in this retrospective cohort analysis and were categorized into four groups based on the POSEIDON criteria. The FORT between Groups 1 and 2 (0.61 ± 0.34 vs. 0.65 ± 0.35, P = 0.081) and Groups 3 and 4 (1.08 ± 0.82 vs. 1.09 ± 0.94, P = 0.899) were similar. The OSI in the order from the highest to the lowest were 3.01 ± 1.46 in Group 1, 2.28 ± 1.09 in Group 2, 1.54 ± 1.04 in Group 3, and 1.34 ± 0.96 in Group 4 (P < 0.001). The trend in the ORPI values was consistent with that in the OSI. FORT, OSI, ORPI, and FOI complemented each other and offered excellent effectiveness in reflecting ovarian reserve and response, but they were not good predictors of clinical pregnancy rate (CPR) from IVF.

Type
Research Article
Copyright
© The Author(s), 2023. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

*

These authors contributed equally to this work.

References

Agarwal, A., Gupta, S. and Sharma, R. (2005). Oxidative stress and its implications in female infertility – A clinician’s perspective. Reproductive Biomedicine Online, 11(5), 641650. doi: 10.1016/S1472-6483(10)61174-1 CrossRefGoogle ScholarPubMed
Al-Inany, H.G., Youssef, M.A., Ayeleke, R.O., Brown, J., Lam, W.S. and Broekmans, F.J. (2016). Gonadotrophin-Releasing hormone antagonists for assisted reproductive technology. Cochrane Database of Systematic Reviews 4, CD001750. doi: 10.1002/14651858.CD001750.pub4.Google ScholarPubMed
Alviggi, C., Clarizia, R., Pettersson, K., Mollo, A., Humaidan, P., Strina, I., Coppola, M., Ranieri, A., D’Uva, M. and De Placido, G. (2009). Suboptimal response to GnRHa long protocol is associated with a common LH polymorphism. Reproductive Biomedicine Online, 18(1), 914, doi: 10.1016/S1472-6483(10)60418-X CrossRefGoogle ScholarPubMed
Alviggi, C., Conforti, A., Esteves, S. C., Vallone, R., Venturella, R., Staiano, S., Castaldo, E., Andersen, C. Y. and De Placido, G. (2018b). Understanding ovarian hypo-response to exogenous gonadotropin in ovarian stimulation and its new proposed marker-the follicle-to-oocyte (FOI) index. Frontiers in Endocrinology, 17(9), 589. doi: 10.3389/fendo.2018.00589 CrossRefGoogle Scholar
Alviggi, C., Conforti, A., Santi, D., Esteves, S. C., Andersen, C. Y., Humaidan, P., Chiodini, P., De Placido, G. and Simoni, M. (2018a). Clinical relevance of genetic variants of gonadotrophins and their receptors in controlled ovarian stimulation: A systematic review and meta-analysis. Human Reproduction Update, 24(5), 599614. doi: 10.1093/humupd/dmy019 CrossRefGoogle ScholarPubMed
Ashrafi, M., Hemat, M., Arabipoor, A., Salman Yazdi, R., Bahman-Abadi, A. and Cheraghi, R. (2017). Predictive values of anti-Müllerian hormone, antral follicle count and ovarian response prediction index (ORPI) for assisted reproductive technology outcomes. Journal of Obstetrics and Gynaecology, 37(1), 8288. doi: 10.1080/01443615.2016.1225025 CrossRefGoogle ScholarPubMed
Biasoni, V., Patriarca, A., Dalmasso, P., Bertagna, A., Manieri, C., Benedetto, C. and Revelli, A. (2011). Ovarian sensitivity index is strongly related to circulating AMH and may be used to predict ovarian response to exogenous gonadotropins in IVF. Reproductive Biology and Endocrinology: RB&E, 9, 112. doi: 10.1186/1477-7827-9-112 CrossRefGoogle ScholarPubMed
Broer, S. L., Mol, B. W., Hendriks, D. and Broekmans, F. J. (2009). The role of antimullerian hormone in prediction of outcome after IVF: Comparison with the antral follicle count. Fertility and Sterility, 91(3), 705714. doi: 10.1016/j.fertnstert.2007.12.013 CrossRefGoogle ScholarPubMed
Carosso, A. R., van Eekelen, R., Revelli, A., Canosa, S., Mercaldo, N., Benedetto, C. and Gennarelli, G. (2022). Women in advanced reproductive age: Are the follicular output rate, the follicle-oocyte index and the ovarian sensitivity index predictors of live birth in an IVF cycle? Journal of Clinical Medicine, 11(3), 859. doi: 10.3390/jcm11030859 CrossRefGoogle Scholar
Chen, L. J., Wang, H., Zhou, H. Y., Bai, H. Y., Wang, T., Shi, W. H. and Shi, J. Z. (2020). Follicular output rate and follicle-to-oocyte Index of low prognosis patients according to POSEIDON criteria: A retrospective cohort study of 32,128 treatment cycles. Frontiers in Endocrinology, 11, 181. doi: 10.3389/fendo.2020.00181 CrossRefGoogle Scholar
Conforti, A., Esteves, S. C., Cimadomo, D., Vaiarelli, A., Di Rella, F., Ubaldi, F. M., Zullo, F., De Placido, G. and Alviggi, C. (2019). Management of women with an unexpected low ovarian response to gonadotropin. Frontiers in Endocrinology, 10, 387. doi: 10.3389/fendo.2019.00387 CrossRefGoogle ScholarPubMed
De Geyter, C., Fehr, P., Moffat, R., Gruber, I. M. and von Wolff, M. (2015). Twenty years’ experience with the Swiss data registry for assisted reproductive medicine: Outcomes, key trends and recommendations for improved practice. Swiss Medical Weekly, 145, w14087. doi: 10.4414/smw.2015.14087 Google ScholarPubMed
Feng, R. Z., Sang, Q., Kuang, Y. P., Sun, X. X., Yan, Z., Zhang, S. Z., Shi, J., Tian, G. L., Luchniak, A., Fukuda, Y., Li, B., Yu, M., Chen, J. L., Xu, Y., Guo, L., Qu, R. G., Wang, X. Q., Sun, Z. G., Liu, M., et al. (2016). Mutations in TUBB8 and human oocyte meiotic arrest. New England Journal of Medicine, 374(3), 223232. doi: 10.1056/NEJMoa1510791 CrossRefGoogle ScholarPubMed
Gallot, V., Berwanger da Silva, A. L., Genro, V., Grynberg, M., Frydman, N. and Fanchin, R. (2012). Antral follicle responsiveness to follicle-stimulating hormone administration assessed by the Follicular Output Rate (FORT) may predict in vitro fertilization-embryo transfer outcome. Human Reproduction, 27(4), 10661072. doi: 10.1093/humrep/der479 CrossRefGoogle ScholarPubMed
Genro, V. K., Grynberg, M., Scheffer, J. B., Roux, I., Frydman, R. and Fanchin, R. (2011). Serum anti-Müllerian hormone levels are negatively related to Follicular Output RaTe (FORT) in normo-cycling women undergoing controlled ovarian hyperstimulation. Human Reproduction, 26(3), 671677. doi: 10.1093/humrep/deq361 CrossRefGoogle ScholarPubMed
Genro, V. K., Matte, U., De Conto, E., Cunha-Filho, J. S. and Fanchin, R. (2012). Frequent polymorphisms of FSH receptor do not influence antral follicle responsiveness to follicle-stimulating hormone administration as assessed by the Follicular Output RaTe (FORT). Journal of Assisted Reproduction and Genetics, 29(7), 657663. doi: 10.1007/s10815-012-9761-7 CrossRefGoogle ScholarPubMed
Griesinger, G., Venetis, C. A., Tarlatzis, B. and Kolibianakis, E. M. (2015). To pill or not to pill in GnRH-antagonist cycles: The answer is in the data already! Reproductive Biomedicine Online, 31(1), 68. doi: 10.1016/j.rbmo.2015.04.001 CrossRefGoogle ScholarPubMed
Grisendi, V., Mastellari, E. and La Marca, A. (2019). Ovarian reserve markers to identify poor responders in the context of Poseidon classification. Frontiers in Endocrinology, 10, 281. doi: 10.3389/fendo.2019.00281 CrossRefGoogle ScholarPubMed
Hassan, A., Kotb, M., AwadAllah, A., Wahba, A. and Shehata, N. (2017). Follicular output rate can predict clinical pregnancy in women with unexplained infertility undergoing IVF/ICSI: A prospective cohort study. Reproductive Biomedicine Online, 34(6), 598604. doi: 10.1016/j.rbmo.2017.03.004 CrossRefGoogle ScholarPubMed
Huber, M., Hadziosmanovic, N., Berglund, L. and Holte, J. (2013). Using the ovarian sensitivity index to define poor, normal, and high response after controlled ovarian hyperstimulation in the long gonadotropin-releasing hormone-agonist protocol: Suggestions for a new principle to solve an old problem. Fertility and Sterility, 100(5), 12701276. doi: 10.1016/j.fertnstert.2013.06.049 CrossRefGoogle Scholar
Humaidan, P., La Marca, A., Alviggi, C., Esteves, S. C. and Haahr, T. (2019). Future perspectives of POSEIDON stratification for clinical practice and research. Frontiers in Endocrinology, 10, 439. doi: 10.3389/fendo.2019.00439 CrossRefGoogle ScholarPubMed
La Marca, A., Sighinolfi, G., Argento, C., Grisendi, V., Casarini, L., Volpe, A. and Simoni, M. (2013). Polymorphisms in gonadotropin and gonadotropin receptor genes as markers of ovarian reserve and response in in vitro fertilization. Fertility and Sterility, 99(4), 970–8.e1. doi: 10.1016/j.fertnstert.2013.01.086 CrossRefGoogle ScholarPubMed
Li, F., Ye, T., Kong, H.J., Li, J., Hu, L.L., Jin, H.X., Su, Y.C. and Li, G.(2020). Efficacies of different ovarian hyperstimulation protocols in poor ovarian responders classified by the POSEIDON criteria. Aging (Albany NY), 29, 12(10), 93549364. doi: 10.18632/aging.103210.CrossRefGoogle ScholarPubMed
Li, H. W., Lee, V. C., Ho, P. C. and Ng, E. H. (2014a). Ovarian sensitivity index is a better measure of ovarian responsiveness to gonadotrophin stimulation than the number of oocytes during in-vitro fertilization treatment. Journal of Assisted Reproduction and Genetics, 31(2), 199203. doi: 10.1007/s10815-013-0144-5 CrossRefGoogle Scholar
Li, H. W., Lee, V. C., Lau, E. Y., Yeung, W. S., Ho, P. C. and Ng, E. H. (2014b). Ovarian response and cumulative live birth rate of women undergoing in-vitro fertilisation who had discordant anti-Mullerian hormone and antral follicle count measurements: A retrospective study. PLOS ONE, 9(10), e108493. doi: 10.1371/journal.pone.0108493 CrossRefGoogle ScholarPubMed
Melo, M. A., Garrido, N., Alvarez, C., Bellver, J., Meseguer, M., Pellicer, A. and Remohí, J. (2009). Antral follicle count (AFC) can be used in the prediction of ovarian response but cannot predict the oocyte/embryo quality or the in vitro fertilization outcome in an egg donation program. Fertility and Sterility, 91(1), 148156. doi: 10.1016/j.fertnstert.2007.11.042 CrossRefGoogle ScholarPubMed
Nejabati, H. R., Mota, A., Farzadi, L., Ghojazadeh, M., Fattahi, A., Hamdi, K. and Nouri, M. (2017). Follicular fluid PlGF/sFlt-1 ratio and soluble receptor for advanced glycation end-products correlate with ovarian sensitivity index in women undergoing A.R.T Journal of Endocrinological Investigation, 40(2), 207215. doi: 10.1007/s40618-016-0550-5 CrossRefGoogle ScholarPubMed
Ng, D. Y. T., Ko, J. K. Y., Li, H. W. R., Lau, E. Y. L., Yeung, W. S. B., Ho, P. C. and Ng, E. H. Y. (2020). Performance of ovarian response prediction index (ORPI) in predicting ovarian response and livebirth in the in-vitro fertilisation cycle using a standard stimulation with corifollitropin alpha in a GnRH antagonist protocol. Human Fertility, 12, 17. doi: 10.1080/14647273.2020.1805517 Google Scholar
Oliveira, J. B., Baruffi, R. L., Petersen, C. G., Mauri, A. L., Nascimento, A. M., Vagnini, L., Ricci, J., Cavagna, M. and Franco, J. G. (2012). A new ovarian response prediction index (ORPI): Implications for individualised controlled ovarian stimulation. Reproductive Biology and Endocrinology: RB&E, 10, 94. doi: 10.1186/1477-7827-10-94 CrossRefGoogle ScholarPubMed
Oliveira, J. B. and Franco, J. G., Jr. (2016). The ovarian response prediction index (ORPI) as a clinical internal quality control to prevent ovarian hyperstimulation syndrome. JBRA Assisted Reproduction, 20(3), 9192. doi: 10.5935/1518-0557.20160021 CrossRefGoogle Scholar
Polyzos, N. P. and Drakopoulos, P. (2019). Management strategies for POSEIDON’s Group 1. Frontiers in Endocrinology, 10, 679. doi: 10.3389/fendo.2019.00679 CrossRefGoogle ScholarPubMed
Poseidon Group (Patient-Oriented Strategies Encompassing IndividualizeD Oocyte Number), Alviggi, C., Andersen, C. Y., Buehler, K., Conforti, A., De Placido, G., Esteves, S. C., Fischer, R., Galliano, D., Polyzos, N. P., Sunkara, S. K., Ubaldi, F. M. and Humaidan, P. (2016). A new more detailed stratification of low responders to ovarian stimulation: From a poor ovarian response to a low prognosis concept. Fertility and Sterility, 105(6), 14521453. doi: 10.1016/j.fertnstert.2016.02.005 CrossRefGoogle ScholarPubMed
Revelli, A., Gennarelli, G., Biasoni, V., Chiadò, A., Carosso, A., Evangelista, F., Paschero, C., Filippini, C. and Benedetto, C. (2020). The ovarian sensitivity index (OSI) significantly correlates with ovarian reserve biomarkers, is more predictive of clinical pregnancy than the total number of oocytes, and is consistent in consecutive IVF cycles. Journal of Clinical Medicine, 9(6), 1914. doi: 10.3390/jcm9061914 CrossRefGoogle Scholar
van der Gaast, M. H., Eijkemans, M. J., van der Net, J. B., de Boer, E. J., Burger, C. W., van Leeuwen, F. E., Fauser, B. C. and Macklon, N. S. (2006). Optimum number of oocytes for a successful first IVF treatment cycle. Reproductive Biomedicine Online, 13(4), 476480. doi: 10.1016/s1472-6483(10)60633-5 CrossRefGoogle ScholarPubMed
Weghofer, A., Barad, D. H., Darmon, S. K., Kushnir, V. A., Albertini, D. F. and Gleicher, N. (2020). The ovarian sensitivity index is predictive of live birth chances after IVF in infertile patients. Human Reproduction Open, 2020(4), hoaa049. doi: 10.1093/hropen/hoaa049 CrossRefGoogle ScholarPubMed
Yadav, V., Malhotra, N., Mahey, R., Singh, N. and Kriplani, A. (2019). Ovarian sensitivity index (OSI): Validating the use of a marker for ovarian responsiveness in IVF. Journal of Reproduction and Infertility, 20(2), 8388.Google ScholarPubMed
Zegers-Hochschild, F., Adamson, G. D., Dyer, S., Racowsky, C., de Mouzon, J., Sokol, R., Rienzi, L., Sunde, A., Schmidt, L., Cooke, I. D., Simpson, J. L. and van der Poel, S. (2017). The international glossary on infertility and fertility care, 2017. Human Reproduction, 32(9), 17861801. doi: 10.1093/humrep/dex234 CrossRefGoogle ScholarPubMed
Zhang, N., Hao, C. F., Zhuang, L. L., Liu, X. Y., Gu, H. F., Liu, S. and Chen, Z. J. (2013). Prediction of IVF/ICSI outcome based on the follicular output rate. Reproductive Biomedicine Online, 27(2), 147153. doi: 10.1016/j.rbmo.2013.04.012 CrossRefGoogle ScholarPubMed