Establishment of predictive model for analyzing clinical pregnancy outcome based on IVF-ET and ICSI assisted reproductive technology

التفاصيل البيبلوغرافية
العنوان: Establishment of predictive model for analyzing clinical pregnancy outcome based on IVF-ET and ICSI assisted reproductive technology
المؤلفون: Mujun Li, Liuming Li, Songwei Jiang, Feiwen Li
المصدر: Saudi Journal of Biological Sciences, Vol 27, Iss 4, Pp 1049-1056 (2020)
Saudi Journal of Biological Sciences
بيانات النشر: Elsevier, 2020.
سنة النشر: 2020
مصطلحات موضوعية: 0106 biological sciences, 0301 basic medicine, medicine.medical_specialty, medicine.medical_treatment, Clinical pregnancy, IVF-ET, ICSI, 01 natural sciences, Article, Intracytoplasmic sperm injection, 03 medical and health sciences, Prediction model, Statistical significance, medicine, lcsh:QH301-705.5, Gynecology, Assisted reproductive technology, In vitro fertilisation, business.industry, Confidence interval, Embryo transfer, 030104 developmental biology, lcsh:Biology (General), Ovarian response, General Agricultural and Biological Sciences, business, Area under the roc curve, 010606 plant biology & botany
الوصف: Objective: In order to explore the predictive model for analyzing clinical pregnancy outcomes based on IVF-ET (in vitro fertilization and embryo transfer) and ICSI (Intracytoplasmic sperm injection) assisted reproductive technology (ART). Methods: this study selected the embryo transfer (fresh) patients who received IVF-ET or ICSI treatment in the First Affiliated Hospital of Guangxi Medical University as the subjects. Moreover, the controlled ovarian stimulation (COS) and follow-up were conducted to collect relevant data for analysis, and finally a prediction model was established. Results: The results showed that the patients were divided into different ovarian response groups at first. The age, bFSH and bFSH/bLH were the highest in the poor ovarian response group (POR), followed by the normal ovarian response group (NOR) and the lowest in the high ovarian response group (HOR). The area under the ROC curve was 0.669 according to the predictive model of pregnancy-related factors. The confidence interval of 94% was 0.629–0.697, with statistical significance (P = 0.000, P
اللغة: English
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6014959b1778e039f99b605e16259477
http://www.sciencedirect.com/science/article/pii/S1319562X20300747
Rights: OPEN
رقم الانضمام: edsair.doi.dedup.....6014959b1778e039f99b605e16259477
قاعدة البيانات: OpenAIRE