System Maintenance Notice

Please note that maintenance work is scheduled between 4 AM and 5 AM - CET. During this time, you may experience reduced performance. Thanks for your patience.

Publications

Journal Article Epublish 7 citations

PubMed: 37907870 DOI: 10.1186/s12884-023-06082-7

Development and validation of a nomogram model for predicting clinical pregnancy in endometriosis patients undergoing fresh embryo transfer.

BMC Pregnancy Childbirth 23(1):764

Authors: Suqin Zhu, Xiuhua Liao, Wenwen Jiang, Yan Sun, Xiaojing Chen, Beihong Zheng

Affiliations

  • Fujian Provincial Reproductive Medicine Center, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, No. 18 Daoshan Road, Fuzhou, Fujian Province, 350001, China. Fujian Maternal-Fetal Clinical Medicine Research Center, Fuzhou, China.
  • Fujian Provincial Reproductive Medicine Center, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, No. 18 Daoshan Road, Fuzhou, Fujian Province, 350001, China. Fujian Key Laboratory of Prenatal Diagnosis and Birth Defect, Fuzhou, China.
  • Fujian Provincial Reproductive Medicine Center, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, No. 18 Daoshan Road, Fuzhou, Fujian Province, 350001, China.
  • Fujian Provincial Reproductive Medicine Center, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, No. 18 Daoshan Road, Fuzhou, Fujian Province, 350001, China.
  • Fujian Provincial Reproductive Medicine Center, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, No. 18 Daoshan Road, Fuzhou, Fujian Province, 350001, China. Fujian Key Laboratory of Prenatal Diagnosis and Birth Defect, Fuzhou, China.

Abstract

PURPOSE

To construct and validate a nomogram model for predicting clinical pregnancy in individuals with endometriosis undergoing fersh embryo transfer (ET).

METHODS

A retrospective analysis was conducted on 1630 individuals with endometriosis who underwent in vitro fertilization (IVF) with fresh embryo transfer at the Reproductive Medicine Center of Fujian Maternity and Child Health Hospital from January 2018 to January 2022. The research population was sorted into two groups through random sampling, namely, the model group (n = 1141) and the validation group (n = 489), with a ratio of 7:3. Univariate analysis was utilized to determine the influencing factors for clinical pregnancy in the model group. The LASSO algorithm was utilized to select the optimal matching factors, which were then included in a multifactorial forward stepwise logistic regression to determine independent influencing factors and develop a nomogram. The discrimination, accuracy, and clinical efficacy of the prediction model were analyzed utilizing the receiver operating characteristic (ROC) curve, calibration curve, and clinical decision curve.

RESULTS

Through multivariate-logistic-regression analysis, these factors were identified as independent influencing factors for the clinical pregnancy in endometriosis patients undergoing fresh embryo transfer: female age (OR = 0.933, 95% CI = 0.902-0.965, P < 0.001), ASRM stage (OR = 0.384, 95% CI = 0.276-0.532, P < 0.001), postoperative to IVF duration (OR = 0.496, 95% CI = 0.356-0.688, P < 0.001), antral follicle count (AFC) (OR = 1.076, 95% CI = 1.013-1.161, P = 0.045), anti-Müllerian hormone (AMH) (OR = 1.202, 95% CI = 1.073-1.35, P = 0.002), Gonadotrophin-releasing hormone (GnRH) agonist protocol (OR = 1.536, 95% CI = 1.109-2.131, P = 0.01), number of oocytes retrieved (OR = 1.154, 95% CI = 1.067-1.249, P < 0.001), number of high-quality cleavage embryos (OR = 1.261, 95% CI = 1.164-1.369, P < 0.001), and number of embryos transferred (OR = 1.957, 95% CI = 1.435-2.679, P < 0.001). A prediction model for estimating the clinical pregnancy probability in individuals with endometriosis was constructed per these identified independent factors. The ROC showed an area under the curve (AUC) of 0.807 (95% CI = 0.782-0.832) in the model group and 0.800 (95% CI = 0.761-0.84) in the validation group. The Hosmer-Lemeshow test demonstrated no statistically significant difference between predicted and actual clinical pregnancy probabilities (P > 0.05). The clinical decision curve demonstrated that both the model and the validation groups achieved maximum net benefit at threshold probability values of 0.08-0.96 and 0.16-0.96, indicating good clinical efficacy within this range of threshold probabilities.

CONCLUSION

Female age, ASRM stage, postoperative to IVF duration, stimulation protocol, AFC, AMH, number of oocytes retrieved, number of high-quality cleavage embryos and number of transferred embryos are independent influencing factors for the clinical pregnancy rate in individuals with endometriosis receiving fresh embryo transfer. The nomogram model based on these factors demonstrates good clinical predictive value and efficacy, providing a basis for clinical prognosis, intervention, and individualized medical treatment planning.

MeSH

Endometriosis, Pregnancy, Nomograms, Probability, Hormones, Oocytes, Embryo Transfer

Cited by