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  • ISSN 1674-8301
  • CN 32-1810/R
Volume 33 Issue 6
Nov.  2019
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Wu Fang, Liu Feng, Guan Yichun, Du Jiangbo, Tan Jichun, Lv Hong, Lu Qun, Tao Shiyao, Huang Lei, Zhou Kun, Xia Yankai, Wang Xinru, Shen Hongbing, Ling Xiufeng, Diao Feiyang, Hu Zhibin, Jin Guangfu. A nomogram predicting clinical pregnancy in the first fresh embryo transfer for women undergoing in vitro fertilization and intracytoplasmic sperm injection (IVF/ICSI) treatments[J]. The Journal of Biomedical Research, 2019, 33(6): 422-429. DOI: 10.7555/JBR.33.20190065
Citation: Wu Fang, Liu Feng, Guan Yichun, Du Jiangbo, Tan Jichun, Lv Hong, Lu Qun, Tao Shiyao, Huang Lei, Zhou Kun, Xia Yankai, Wang Xinru, Shen Hongbing, Ling Xiufeng, Diao Feiyang, Hu Zhibin, Jin Guangfu. A nomogram predicting clinical pregnancy in the first fresh embryo transfer for women undergoing in vitro fertilization and intracytoplasmic sperm injection (IVF/ICSI) treatments[J]. The Journal of Biomedical Research, 2019, 33(6): 422-429. DOI: 10.7555/JBR.33.20190065
shu

A nomogram predicting clinical pregnancy in the first fresh embryo transfer for women undergoing in vitro fertilization and intracytoplasmic sperm injection (IVF/ICSI) treatments

  • 1.

    State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, China

  • 2.

    Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China

  • 3.

    Department of Reproduction, Henan Women and Children Health Hospital, Zhengzhou, Henan 450052, China

  • 4.

    Department of Reproduction, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110011, China

  • 5.

    Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China

  • 6.

    Department of Reproduction, the Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing, Jiangsu 210004, China

  • 7.

    Department of Reproduction, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China

Funds: This is an open access article under the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited.
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  • Corresponding author:

    Guangfu Jin and Zhibin Hu, Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China

    Tel/Fax: +86-25-8686-8437/+86-25-8686-8499 and +86-25-8686-8437, E-mails:guangfujin@njmu.edu.cn and zhibin_hu@njmu.edu.cn

  • Received Date: April 27, 2019
  • Revised Date: June 19, 2019
  • Accepted Date: June 20, 2019
  • Available Online: August 29, 2019
    Graphical Abstract
    • Abstract
  • 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.
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    • References (33)
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