Cargando…

Nomogram for predicting the risk of preterm delivery after IVF/ICSI treatment: an analysis of 11513 singleton births

BACKGROUND: There is a higher risk of preterm delivery (PTD) in singleton live births conceived after in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) compared with spontaneously conceived pregnancies. The objective of our study was to build a predictive nomogram model to suggest...

Descripción completa

Detalles Bibliográficos
Autores principales: Liao, Zhiqi, Cai, Lei, Liu, Chang, Li, Jie, Hu, Xinyao, Lai, Youhua, Shen, Lin, Sui, Cong, Zhang, Hanwang, Qian, Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233110/
https://www.ncbi.nlm.nih.gov/pubmed/37274330
http://dx.doi.org/10.3389/fendo.2023.1065291
_version_ 1785052163514302464
author Liao, Zhiqi
Cai, Lei
Liu, Chang
Li, Jie
Hu, Xinyao
Lai, Youhua
Shen, Lin
Sui, Cong
Zhang, Hanwang
Qian, Kun
author_facet Liao, Zhiqi
Cai, Lei
Liu, Chang
Li, Jie
Hu, Xinyao
Lai, Youhua
Shen, Lin
Sui, Cong
Zhang, Hanwang
Qian, Kun
author_sort Liao, Zhiqi
collection PubMed
description BACKGROUND: There is a higher risk of preterm delivery (PTD) in singleton live births conceived after in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) compared with spontaneously conceived pregnancies. The objective of our study was to build a predictive nomogram model to suggest the possibility of PTD in singleton pregnancies after IVF/ICSI treatment. METHOD: 11513 IVF/ICSI cycles with singleton live births were enrolled retrospectively. These cycles were randomly allocated into a training group (80%) and a validation group (20%). We used the multivariate logistics regression analysis to determine prognostic factors for PTD in the training group. A nomogram based on the above factors was further established for predicting PTD. Receiver operating characteristic curves (ROC), areas under the ROC curves (AUC), concordance index (C-index), and calibration plots were analyzed for assessing the performance of this nomogram in the training and validation group. RESULTS: There were fourteen risk factors significantly related to PTD in IVF/ICSI singleton live births, including maternal body mass index (BMI) > 24 kg/m(2), smoking, uterine factors, cervical factors, ovulatory factors, double embryo transferred (DET), blastocyst transfer, FET, vanishing twin syndrome (VTS), obstetric complications (placenta previa, placenta abruption, hypertensive of pregnancies, and premature rupture of membrane), and a male fetus. These factors were further incorporated to construct a nomogram prediction model. The AUC, C-index, and calibration curves indicated that this nomogram exhibited fair performance and good calibration. CONCLUSIONS: We found that the occurrence of PTD increased when women with obesity, smoking, uterine factors, cervical factors, ovulatory factors, DET, VTS, and obstetric complications, and a male fetus. Furthermore, a nomogram was constructed based on the above factors and it might have great value for clinic use.
format Online
Article
Text
id pubmed-10233110
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-102331102023-06-02 Nomogram for predicting the risk of preterm delivery after IVF/ICSI treatment: an analysis of 11513 singleton births Liao, Zhiqi Cai, Lei Liu, Chang Li, Jie Hu, Xinyao Lai, Youhua Shen, Lin Sui, Cong Zhang, Hanwang Qian, Kun Front Endocrinol (Lausanne) Endocrinology BACKGROUND: There is a higher risk of preterm delivery (PTD) in singleton live births conceived after in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) compared with spontaneously conceived pregnancies. The objective of our study was to build a predictive nomogram model to suggest the possibility of PTD in singleton pregnancies after IVF/ICSI treatment. METHOD: 11513 IVF/ICSI cycles with singleton live births were enrolled retrospectively. These cycles were randomly allocated into a training group (80%) and a validation group (20%). We used the multivariate logistics regression analysis to determine prognostic factors for PTD in the training group. A nomogram based on the above factors was further established for predicting PTD. Receiver operating characteristic curves (ROC), areas under the ROC curves (AUC), concordance index (C-index), and calibration plots were analyzed for assessing the performance of this nomogram in the training and validation group. RESULTS: There were fourteen risk factors significantly related to PTD in IVF/ICSI singleton live births, including maternal body mass index (BMI) > 24 kg/m(2), smoking, uterine factors, cervical factors, ovulatory factors, double embryo transferred (DET), blastocyst transfer, FET, vanishing twin syndrome (VTS), obstetric complications (placenta previa, placenta abruption, hypertensive of pregnancies, and premature rupture of membrane), and a male fetus. These factors were further incorporated to construct a nomogram prediction model. The AUC, C-index, and calibration curves indicated that this nomogram exhibited fair performance and good calibration. CONCLUSIONS: We found that the occurrence of PTD increased when women with obesity, smoking, uterine factors, cervical factors, ovulatory factors, DET, VTS, and obstetric complications, and a male fetus. Furthermore, a nomogram was constructed based on the above factors and it might have great value for clinic use. Frontiers Media S.A. 2023-05-18 /pmc/articles/PMC10233110/ /pubmed/37274330 http://dx.doi.org/10.3389/fendo.2023.1065291 Text en Copyright © 2023 Liao, Cai, Liu, Li, Hu, Lai, Shen, Sui, Zhang and Qian 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
Liao, Zhiqi
Cai, Lei
Liu, Chang
Li, Jie
Hu, Xinyao
Lai, Youhua
Shen, Lin
Sui, Cong
Zhang, Hanwang
Qian, Kun
Nomogram for predicting the risk of preterm delivery after IVF/ICSI treatment: an analysis of 11513 singleton births
title Nomogram for predicting the risk of preterm delivery after IVF/ICSI treatment: an analysis of 11513 singleton births
title_full Nomogram for predicting the risk of preterm delivery after IVF/ICSI treatment: an analysis of 11513 singleton births
title_fullStr Nomogram for predicting the risk of preterm delivery after IVF/ICSI treatment: an analysis of 11513 singleton births
title_full_unstemmed Nomogram for predicting the risk of preterm delivery after IVF/ICSI treatment: an analysis of 11513 singleton births
title_short Nomogram for predicting the risk of preterm delivery after IVF/ICSI treatment: an analysis of 11513 singleton births
title_sort nomogram for predicting the risk of preterm delivery after ivf/icsi treatment: an analysis of 11513 singleton births
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233110/
https://www.ncbi.nlm.nih.gov/pubmed/37274330
http://dx.doi.org/10.3389/fendo.2023.1065291
work_keys_str_mv AT liaozhiqi nomogramforpredictingtheriskofpretermdeliveryafterivficsitreatmentananalysisof11513singletonbirths
AT cailei nomogramforpredictingtheriskofpretermdeliveryafterivficsitreatmentananalysisof11513singletonbirths
AT liuchang nomogramforpredictingtheriskofpretermdeliveryafterivficsitreatmentananalysisof11513singletonbirths
AT lijie nomogramforpredictingtheriskofpretermdeliveryafterivficsitreatmentananalysisof11513singletonbirths
AT huxinyao nomogramforpredictingtheriskofpretermdeliveryafterivficsitreatmentananalysisof11513singletonbirths
AT laiyouhua nomogramforpredictingtheriskofpretermdeliveryafterivficsitreatmentananalysisof11513singletonbirths
AT shenlin nomogramforpredictingtheriskofpretermdeliveryafterivficsitreatmentananalysisof11513singletonbirths
AT suicong nomogramforpredictingtheriskofpretermdeliveryafterivficsitreatmentananalysisof11513singletonbirths
AT zhanghanwang nomogramforpredictingtheriskofpretermdeliveryafterivficsitreatmentananalysisof11513singletonbirths
AT qiankun nomogramforpredictingtheriskofpretermdeliveryafterivficsitreatmentananalysisof11513singletonbirths