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  • 1 : IVFMD, My Duc Hospital, 4 Nui Thanh Street, Tan Binh District, Ho Chi Minh City, Vietnam
  • 2 : Department of Obstetrics and Gynaecology, University of Medicine and Pharmacy HCMC, 217 Hong Bang Street, District 5, Ho Chi Minh City, Vietnam

  • Received 31/12/2017
  • Accepted 31/03/2018
  • Available online 01/07/2018
  • 39
  • 1137
Abstract

IVF carries a considerable physical, emotional and financial burden. Therefore, it would be useful to be able to predict the likelihood of success for each couple. The aim of this retrospective cohort study was to develop a prediction model to estimate the probability of a live birth at 12 months after one completed IVF cycle (all fresh and frozen embryo transfers from the same oocyte retrieval). We analyzed data collected from 2600 women undergoing in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) at a single center in Vietnam between April 2014 and December 2015. All patients received gonadotropin-releasing hormone (GnRH) antagonist stimulation, followed by fresh and/or frozen embryo transfer (FET) on Day 3. Using Cox regression analysis, five predictive factors were identified: female age, total dose of recombinant follicle stimulating hormone used, type of trigger, fresh or FET during the first transfer, and number of subsequent FET after the first transfer. The area under the receiver operating characteristics curve for the final model was 0.63 (95% confidence interval [CI] 0.60‒0.65) and 0.60 (95% CI 0.57‒0.63) for the validation cohort. There was no significant difference between the predicted and observed probabilities of live birth (Hosmer-Lemeshow test, p > 0.05). The model developed had similar discrimination to existing models and could be implemented in clinical practice.

Keywords

predictive model live birth GnRH antagonist embryo transfer

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