A nomogram predicting clinical pregnancy in the first fresh embryo transfer for women undergoing in vitro fertilization and intracytoplasmic sperm injection (IVF/ICSI) treatments
Fang Wu
Feng Liu
Yichun Guan
Jiangbo Du
Jichun Tan
Hong Lv
Qun Lu
Xiufeng Ling
Feiyang Diao
Zhibin Hu
Guangfu Jin
1.State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, China;Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China2.Department of Reproduction, Henan Women and Children Health Hospital, Zhengzhou, Henan 450052, China3.Department of Reproduction, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110011, China4.Department of Reproduction, the Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing,Jiangsu 210004, China5.Department of Reproduction, the First Affiliated Hospital of Nanjing Medical'University, Nanjing, Jiangsu 210029, China
摘要：The extent to which factors affect the probability of clinical pregnancy in the first fresh embryo transfer after assisted conception is unknown.In order to examine the predictors of clinical pregnancy,a retrospective cohort study was launched between January 1,2013 and December 31,2016 in four infertility clinics including 19 837 in vitro fertilization and intracytoplasmic sperm injection (IVF/ICSI) fresh cycles with known outcomes and relevant records.A multivariable logistic regression was used to select the most significant predictors in the final nomogram for predicting clinical pregnancy.Furthermore,the model was validated by an independent validation set and the performance of the model was evaluated by the receiver operating characteristic (ROC) curves along with the area under the ROC curve (AUC) and calibration plots.In a training set including 17 854 participants,we identified that female age,tubal factor,number of embryos transferred,endometrial thickness and number of good-quality embryos were independent predictors for clinical pregnancy.We developed a nomogram using these five factors and the predictive ability was 0.66 for AUC (95％ CI 0.64-0.68),which was independently validated in the validation set (AUC=0.66,95％ CI 0.65-0.68).Our results show that some specific factors can be used to provide infertile couples with an accurate assessment of clinical pregnancy following assisted conception and facilitate to guide couples and clinicians.
机标关键词：in vitro fertilizationretrospective cohort studylogistic regressionembryo transferROC curve
分类号：R711.6(妇科学)
论文发表日期：2019-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：8( 422-429 )
英文信息