Analysis of factors influencing IVF-ET treatment outcome in infertile women and construction of a predictive model

Author:

Zhang Pan1,Pan Congcong1,Chen Yao2,Zhong Ni1,Zhang Ao1,Chen Shengjia1,Pan Haiyan1,Lin Bing2

Affiliation:

1. Guangdong Medical University

2. Shunde Women and Children’s Hospital of Guangdong Medical University

Abstract

Abstract Objective To construct a predictive model for cumulative live birth rates(CLBRs) in patients treated with IVF-ET,develop a nomogram for individual prediction of CLBRs. Methods Patients who underwent embryo transfer in our hospital from 2017–2021 were selected for retrospective analysis, and the data were randomly divided into modelling group and validation group according to 7:3. The CLBRs nomogram was constructed using the modelling group, and the data of the validation group for internal verification. The discrimination and calibration of the predictive model is assessed by calculating the C-index and plotting the calibration curve of the model. Results A total of 2037 cases were included in the sample data, of which 1425 cases were in the modelling group and 612 cases in the validation group.Multi-factor logistic regression analysis was carried out on the characteristic indicators screened by the univariate analysis.The

Publisher

Research Square Platform LLC

Reference16 articles.

1. Qiao Jie.Female fertility and its influencing factors;Xuan Z;Chin J Practical Gynecol Obstet 2022

2. In vitro fertilisation/intracytoplasmic sperm injection beyond 2020;Crawford GE;BJOG

3. ,etal. ART in Europe, 2016: results generated from European registries by ESHRE;Wyns C;Hum Reprod Open,2020

4. etal. Predicted probabilities of live birth following assisted reproductive technology using United States national surveillance data from 2016 to 2018;Gaskins AJ;Am J Obstet Gynecol 2023 Jan

5. etal. How do cumulative live birth rates and cumulative multiple live birth rates over complete courses of assisted reproductive technology treatment per woman compare among registries?;Neubourg D;Hum Reprod

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