The Development of Nomograms to Predict Blastulation Rate Following Cycles of In Vitro Fertilization in Patients With Tubal Factor Infertility, Polycystic Ovary Syndrome, or Endometriosis

被引:5
作者
Jin, Haixia [1 ]
Shen, Xiaoxue [1 ]
Song, Wenyan [1 ]
Liu, Yan [1 ]
Qi, Lin [1 ]
Zhang, Fuli [1 ]
机构
[1] Zhengzhou Univ, Affiliated Hosp 1, Reprod Med Ctr, Zhengzhou, Peoples R China
来源
FRONTIERS IN ENDOCRINOLOGY | 2021年 / 12卷
关键词
in vitro fertilization; blastocyst; tubal factor infertility; endometriosis; polycystic ovary syndrome (PCOS); predictive models; ANTI-MULLERIAN HORMONE; BODY-MASS INDEX; INTRACYTOPLASMIC SPERM INJECTION; BLASTOCYST DEVELOPMENT; LIVE BIRTH; OOCYTE; PREGNANCY; NUMBER; WOMEN; IVF;
D O I
10.3389/fendo.2021.751373
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
It is well known that the transfer of embryos at the blastocyst stage is superior to the transfer of embryos at the cleavage stage in many respects. However, the rate of blastocyst formation remains low in clinical practice. To reduce the possibility of wasting embryos and to accurately predict the possibility of blastocyst formation, we constructed a nomogram based on range of clinical characteristics to predict blastocyst formation rates in patients with different types of infertility. We divided patients into three groups based on female etiology: a tubal factor group, a polycystic ovary syndrome group, and an endometriosis group. Multiple logistic regression was used to analyze the relationship between patient characteristics and blastocyst formation. Each group of patients was divided into a training set and a validation set. The training set was used to construct the nomogram, while the validation set was used to test the performance of the model by using discrimination and calibration. The area under the curve (AUC) for the three groups indicated that the models performed fairly and that calibration was acceptable in each model.
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页数:13
相关论文
共 41 条
  • [1] Adamsson G, 2019, INT COMMITTEE MONITO
  • [2] Serum anti-Mullerian hormone is associated with oocyte dysmorphisms and ICSI outcomes
    Azizi, Elham
    Naji, Mohammad
    Nazari, Leila
    Salehpour, Saghar
    Karimi, Maryam
    Borumandnia, Nasrin
    Mofarahe, Zahra Shams
    [J]. INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS, 2019, 147 (02) : 179 - 186
  • [3] Diagnostic accuracy of physical examination, transvaginal sonography, rectal endoscopic sonography, and magnetic resonance imaging to diagnose deep infiltrating endometriosis
    Bazot, Marc
    Lafont, Clarisse
    Rouzier, Roman
    Roseau, Gilles
    Thomassin-Naggara, Isabelle
    Darai, Emile
    [J]. FERTILITY AND STERILITY, 2009, 92 (06) : 1825 - 1833
  • [4] Female obesity impairs in vitro fertilization outcome without affecting embryo quality
    Bellver, Jose
    Ayllon, Yanira
    Ferrando, Marcos
    Melo, Marco
    Goyri, Eduardo
    Pellicer, Antonio
    Remohi, Jose
    Meseguer, Marcos
    [J]. FERTILITY AND STERILITY, 2010, 93 (02) : 447 - 454
  • [5] External validation is necessary in, prediction research: A clinical example
    Bleeker, SE
    Moll, HA
    Steyerberg, EW
    Donders, ART
    Derksen-Lubsen, G
    Grobbee, DE
    Moons, KGM
    [J]. JOURNAL OF CLINICAL EPIDEMIOLOGY, 2003, 56 (09) : 826 - 832
  • [6] Brinsden Peter R., 1999, A textbook of In Vitro Fertilization and Assisted Reproduction: The Bourn Hall guide to clinical and laboratory practice
  • [7] Random anti-Mullerian hormone (AMH) is a predictor of ovarian response in women with elevated baseline early follicular follicle-stimulating hormone levels
    Buyuk, Erkan
    Seifer, David B.
    Younger, Joshua
    Grazi, Richard V.
    Lieman, Harry
    [J]. FERTILITY AND STERILITY, 2011, 95 (07) : 2369 - 2372
  • [8] Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome
    Chang, J
    Azziz, R
    Legro, R
    Dewailly, D
    Franks, S
    Tarlatzis, BC
    Fauser, B
    Balen, A
    Bouchard, P
    Dahlgren, E
    Devoto, L
    Diamanti, E
    Dunaif, A
    Filicori, M
    Homburg, R
    Ibanez, L
    Laven, J
    Magoffin, D
    Nestler, J
    Norman, RJ
    Pasquali, R
    Pugeat, M
    Strauss, J
    Tan, S
    Taylor, A
    Wild, R
    Wild, S
    Ehrmann, D
    Lobo, R
    [J]. FERTILITY AND STERILITY, 2004, 81 (01) : 19 - 25
  • [9] Comparison of Models to Predict Nonsentinel Lymph Node Status in Breast Cancer Patients With Metastatic Sentinel Lymph Nodes: A Prospective Multicenter Study
    Coutant, Charles
    Olivier, Camille
    Lambaudie, Eric
    Fondrinier, Eric
    Marchal, Frederic
    Guillemin, Francois
    Seince, Nathalie
    Thomas, Veronique
    Leveque, Jean
    Barranger, Emmanuel
    Darai, Emile
    Uzan, Serge
    Houvenaeghel, Gilles
    Rouzier, Roman
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2009, 27 (17) : 2800 - 2808
  • [10] A cycle-based model to predict blastocyst transfer cancellation
    Dessolle, Lionel
    Freour, Thomas
    Barriere, Paul
    Darai, Emile
    Ravel, Celia
    Jean, Miguel
    Coutant, Charles
    [J]. HUMAN REPRODUCTION, 2010, 25 (03) : 598 - 604