Development of a predictive model for luteal phase oocyte retrieval in poor responders undergoing natural cycle IVF
Abstract The aim of this study is the development of a prediction model indicating successful application of Oocyte Retrieval performed during the Luteal Phase (LuPOR) in poor responders, as defined by the retrieval of at least one MII oocyte. Recruitment included 1688 poor responders diagnosed as p...
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Nature Portfolio
2022-05-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-11602-0 |
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author | Mara Simopoulou Dionysios Galatis Evangelos Maziotis Agni Pantou Polina Giannelou Sokratis Grigoriadis Panagiotis Tzonis Theodora Griva Athanasios Zikopoulos Anastasios Philippou Michael Koutsilieris Konstantinos Pantos Konstantinos Sfakianoudis |
author_facet | Mara Simopoulou Dionysios Galatis Evangelos Maziotis Agni Pantou Polina Giannelou Sokratis Grigoriadis Panagiotis Tzonis Theodora Griva Athanasios Zikopoulos Anastasios Philippou Michael Koutsilieris Konstantinos Pantos Konstantinos Sfakianoudis |
author_sort | Mara Simopoulou |
collection | DOAJ |
description | Abstract The aim of this study is the development of a prediction model indicating successful application of Oocyte Retrieval performed during the Luteal Phase (LuPOR) in poor responders, as defined by the retrieval of at least one MII oocyte. Recruitment included 1688 poor responders diagnosed as per Bologna Criteria, undergoing natural cycle ICSI between 2012 and 2020. Oocyte collections were performed during the follicular phase and during the luteal phase similarly. Antral Follicle Count (AFC), Estradiol (E2) levels evaluated on both trigger days prior to Follicular Phase Oocyte Retrieval (FoPOR) and LuPOR, and the number of small follicles 8–12 mm that were not aspirated during FoPOR were identified as predictive factors indicative of an efficient LuPOR practice with an Area Under the Curve (AUC) of 0.86, 0.86, 0.89 as well as 0.82 respectively. The combination of the above-mentioned characteristics into a prediction model provided an AUC of 0.88, specificity and a sensitivity of 0.73 and 0.94 respectively and an accuracy of 0.89. The model provided a positive predictive value (PPV) of 93.5% and a negative predictive value (NPV) of 46.8%. The clinical conclusion of the present study aims to be of added value to the clinician, by providing a prediction model defining the POR population benefiting from LuPOR. The high PPV of this model may renders this tool helpful for the practitioner that considers LuPOR. |
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institution | Directory Open Access Journal |
issn | 2045-2322 |
language | English |
last_indexed | 2024-12-12T03:29:35Z |
publishDate | 2022-05-01 |
publisher | Nature Portfolio |
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series | Scientific Reports |
spelling | doaj.art-14336aaec07d4cadb972c883edc350932022-12-22T00:39:56ZengNature PortfolioScientific Reports2045-23222022-05-0112111210.1038/s41598-022-11602-0Development of a predictive model for luteal phase oocyte retrieval in poor responders undergoing natural cycle IVFMara Simopoulou0Dionysios Galatis1Evangelos Maziotis2Agni Pantou3Polina Giannelou4Sokratis Grigoriadis5Panagiotis Tzonis6Theodora Griva7Athanasios Zikopoulos8Anastasios Philippou9Michael Koutsilieris10Konstantinos Pantos11Konstantinos Sfakianoudis12Department of Physiology, Medical School, National and Kapodistrian University of AthensDepartment of Physiology, Medical School, National and Kapodistrian University of AthensDepartment of Physiology, Medical School, National and Kapodistrian University of AthensCentre for Human Reproduction, Genesis Athens ClinicDepartment of Physiology, Medical School, National and Kapodistrian University of AthensDepartment of Physiology, Medical School, National and Kapodistrian University of AthensCentre for Human Reproduction, Genesis Athens ClinicCentre for Human Reproduction, Genesis Athens ClinicRoyal Cornwall HospitalDepartment of Physiology, Medical School, National and Kapodistrian University of AthensDepartment of Physiology, Medical School, National and Kapodistrian University of AthensCentre for Human Reproduction, Genesis Athens ClinicCentre for Human Reproduction, Genesis Athens ClinicAbstract The aim of this study is the development of a prediction model indicating successful application of Oocyte Retrieval performed during the Luteal Phase (LuPOR) in poor responders, as defined by the retrieval of at least one MII oocyte. Recruitment included 1688 poor responders diagnosed as per Bologna Criteria, undergoing natural cycle ICSI between 2012 and 2020. Oocyte collections were performed during the follicular phase and during the luteal phase similarly. Antral Follicle Count (AFC), Estradiol (E2) levels evaluated on both trigger days prior to Follicular Phase Oocyte Retrieval (FoPOR) and LuPOR, and the number of small follicles 8–12 mm that were not aspirated during FoPOR were identified as predictive factors indicative of an efficient LuPOR practice with an Area Under the Curve (AUC) of 0.86, 0.86, 0.89 as well as 0.82 respectively. The combination of the above-mentioned characteristics into a prediction model provided an AUC of 0.88, specificity and a sensitivity of 0.73 and 0.94 respectively and an accuracy of 0.89. The model provided a positive predictive value (PPV) of 93.5% and a negative predictive value (NPV) of 46.8%. The clinical conclusion of the present study aims to be of added value to the clinician, by providing a prediction model defining the POR population benefiting from LuPOR. The high PPV of this model may renders this tool helpful for the practitioner that considers LuPOR.https://doi.org/10.1038/s41598-022-11602-0 |
spellingShingle | Mara Simopoulou Dionysios Galatis Evangelos Maziotis Agni Pantou Polina Giannelou Sokratis Grigoriadis Panagiotis Tzonis Theodora Griva Athanasios Zikopoulos Anastasios Philippou Michael Koutsilieris Konstantinos Pantos Konstantinos Sfakianoudis Development of a predictive model for luteal phase oocyte retrieval in poor responders undergoing natural cycle IVF Scientific Reports |
title | Development of a predictive model for luteal phase oocyte retrieval in poor responders undergoing natural cycle IVF |
title_full | Development of a predictive model for luteal phase oocyte retrieval in poor responders undergoing natural cycle IVF |
title_fullStr | Development of a predictive model for luteal phase oocyte retrieval in poor responders undergoing natural cycle IVF |
title_full_unstemmed | Development of a predictive model for luteal phase oocyte retrieval in poor responders undergoing natural cycle IVF |
title_short | Development of a predictive model for luteal phase oocyte retrieval in poor responders undergoing natural cycle IVF |
title_sort | development of a predictive model for luteal phase oocyte retrieval in poor responders undergoing natural cycle ivf |
url | https://doi.org/10.1038/s41598-022-11602-0 |
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