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The Development of Nomograms to Predict Blastulation Rate Following Cycles of In Vitro Fertilization in Patients With Tubal Factor Infertility, Polycystic Ovary Syndrome, or Endometriosis

It is well known that the transfer of embryos at the blastocyst stage is superior to the transfer of embryos at the cleavage stage in many respects. However, the rate of blastocyst formation remains low in clinical practice. To reduce the possibility of wasting embryos and to accurately predict the...

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Autores principales: Jin, Haixia, Shen, Xiaoxue, Song, Wenyan, Liu, Yan, Qi, Lin, Zhang, Fuli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595301/
https://www.ncbi.nlm.nih.gov/pubmed/34803917
http://dx.doi.org/10.3389/fendo.2021.751373
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author Jin, Haixia
Shen, Xiaoxue
Song, Wenyan
Liu, Yan
Qi, Lin
Zhang, Fuli
author_facet Jin, Haixia
Shen, Xiaoxue
Song, Wenyan
Liu, Yan
Qi, Lin
Zhang, Fuli
author_sort Jin, Haixia
collection PubMed
description It is well known that the transfer of embryos at the blastocyst stage is superior to the transfer of embryos at the cleavage stage in many respects. However, the rate of blastocyst formation remains low in clinical practice. To reduce the possibility of wasting embryos and to accurately predict the possibility of blastocyst formation, we constructed a nomogram based on range of clinical characteristics to predict blastocyst formation rates in patients with different types of infertility. We divided patients into three groups based on female etiology: a tubal factor group, a polycystic ovary syndrome group, and an endometriosis group. Multiple logistic regression was used to analyze the relationship between patient characteristics and blastocyst formation. Each group of patients was divided into a training set and a validation set. The training set was used to construct the nomogram, while the validation set was used to test the performance of the model by using discrimination and calibration. The area under the curve (AUC) for the three groups indicated that the models performed fairly and that calibration was acceptable in each model.
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spelling pubmed-85953012021-11-18 The Development of Nomograms to Predict Blastulation Rate Following Cycles of In Vitro Fertilization in Patients With Tubal Factor Infertility, Polycystic Ovary Syndrome, or Endometriosis Jin, Haixia Shen, Xiaoxue Song, Wenyan Liu, Yan Qi, Lin Zhang, Fuli Front Endocrinol (Lausanne) Endocrinology It is well known that the transfer of embryos at the blastocyst stage is superior to the transfer of embryos at the cleavage stage in many respects. However, the rate of blastocyst formation remains low in clinical practice. To reduce the possibility of wasting embryos and to accurately predict the possibility of blastocyst formation, we constructed a nomogram based on range of clinical characteristics to predict blastocyst formation rates in patients with different types of infertility. We divided patients into three groups based on female etiology: a tubal factor group, a polycystic ovary syndrome group, and an endometriosis group. Multiple logistic regression was used to analyze the relationship between patient characteristics and blastocyst formation. Each group of patients was divided into a training set and a validation set. The training set was used to construct the nomogram, while the validation set was used to test the performance of the model by using discrimination and calibration. The area under the curve (AUC) for the three groups indicated that the models performed fairly and that calibration was acceptable in each model. Frontiers Media S.A. 2021-11-03 /pmc/articles/PMC8595301/ /pubmed/34803917 http://dx.doi.org/10.3389/fendo.2021.751373 Text en Copyright © 2021 Jin, Shen, Song, Liu, Qi and Zhang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Jin, Haixia
Shen, Xiaoxue
Song, Wenyan
Liu, Yan
Qi, Lin
Zhang, Fuli
The Development of Nomograms to Predict Blastulation Rate Following Cycles of In Vitro Fertilization in Patients With Tubal Factor Infertility, Polycystic Ovary Syndrome, or Endometriosis
title The Development of Nomograms to Predict Blastulation Rate Following Cycles of In Vitro Fertilization in Patients With Tubal Factor Infertility, Polycystic Ovary Syndrome, or Endometriosis
title_full The Development of Nomograms to Predict Blastulation Rate Following Cycles of In Vitro Fertilization in Patients With Tubal Factor Infertility, Polycystic Ovary Syndrome, or Endometriosis
title_fullStr The Development of Nomograms to Predict Blastulation Rate Following Cycles of In Vitro Fertilization in Patients With Tubal Factor Infertility, Polycystic Ovary Syndrome, or Endometriosis
title_full_unstemmed The Development of Nomograms to Predict Blastulation Rate Following Cycles of In Vitro Fertilization in Patients With Tubal Factor Infertility, Polycystic Ovary Syndrome, or Endometriosis
title_short The Development of Nomograms to Predict Blastulation Rate Following Cycles of In Vitro Fertilization in Patients With Tubal Factor Infertility, Polycystic Ovary Syndrome, or Endometriosis
title_sort development of nomograms to predict blastulation rate following cycles of in vitro fertilization in patients with tubal factor infertility, polycystic ovary syndrome, or endometriosis
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595301/
https://www.ncbi.nlm.nih.gov/pubmed/34803917
http://dx.doi.org/10.3389/fendo.2021.751373
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