A prediction model of live birth in patients undergoing frozen⁃thawed embryo transfer after TCRA
10.19405/j.cnki.issn1000-1492.2023.11.024
- Author:
Ziwei Li
1
;
Ying Wang
1
;
Qiong Xing
1
;
Zhiguo Zhang
1
;
Yunxia Cao
1
;
Zhaolian Wei
1
;
Jianye Wang
1
Author Information
1. Reproductive Medicine Center, Dept of Obstetrics and Gynecology, The First Afiliated Hospital of Anhui Medical University, Hefei 230022; Anhui Province Key Laboratory ofReproductive Health and Genetics , Anhui Medical University, Hefei 230032; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract , Hefei 230032
- Publication Type:Journal Article
- Keywords:
transcervical resection of adhesions;
influence factor;
prediction model;
embryo transfer;
pregnancy outcomes
- From:
Acta Universitatis Medicinalis Anhui
2023;58(11):1947-1951
- CountryChina
- Language:Chinese
-
Abstract:
Objective :To develop a prediction model for live birth based on the basic characters of patients after
transcervical resection of adhesions (TCRA) undergoing frozen⁃thawed embryo transfer (F⁃ET) .
Methods : A total of 491 cycles who went F ⁃ET after TCRA were included. The cycles were randomly divided into training (n = 347) and validation (n = 144) cohorts at 7 ∶ 3 ratio. Relevant factors of live birth were selected via logistic regression analysis based on the data from patients in the training cohort. Multivariate logistic regression analysis was used to establish a nomogram , and then this predict model was calibrated and verified.
Results :Age , body mass index (BMI) , miscarriages and endometrial thickness were significantly related to the live birth. The statistical nomogram was built with the area under the ROC cu2rve for the training cohort was 0. 713 (95% CI: 0. 519 - 0. 815) , Hosmer⁃Lemeshow goodness of fit test were χ = 7. 062 , P = 0. 530 , and the slope of calibration curve was close to 1. AUC of validation cohort was 0. 609 (95% CI: 0. 660 - 0. 561) , presenting a well⁃pleasing goodness⁃of⁃fit and stability in this model.
Conclusion :Age , BMI , miscarriages and endometrial thickness can better predict the probability of live birth undergoing F ⁃ET after TCRA.
- Full text:2024071216401105797TCRA术后患者行冻融胚胎移植活产预测模型的构建_李紫薇.pdf
