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:7
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
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 [J].
Azizi, Elham ;
Naji, Mohammad ;
Nazari, Leila ;
Salehpour, Saghar ;
Karimi, Maryam ;
Borumandnia, Nasrin ;
Mofarahe, Zahra Shams .
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 [J].
Bazot, Marc ;
Lafont, Clarisse ;
Rouzier, Roman ;
Roseau, Gilles ;
Thomassin-Naggara, Isabelle ;
Darai, Emile .
FERTILITY AND STERILITY, 2009, 92 (06) :1825-1833
[4]   Female obesity impairs in vitro fertilization outcome without affecting embryo quality [J].
Bellver, Jose ;
Ayllon, Yanira ;
Ferrando, Marcos ;
Melo, Marco ;
Goyri, Eduardo ;
Pellicer, Antonio ;
Remohi, Jose ;
Meseguer, Marcos .
FERTILITY AND STERILITY, 2010, 93 (02) :447-454
[5]   External validation is necessary in, prediction research: A clinical example [J].
Bleeker, SE ;
Moll, HA ;
Steyerberg, EW ;
Donders, ART ;
Derksen-Lubsen, G ;
Grobbee, DE ;
Moons, KGM .
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 [J].
Buyuk, Erkan ;
Seifer, David B. ;
Younger, Joshua ;
Grazi, Richard V. ;
Lieman, Harry .
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 [J].
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 .
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 [J].
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 .
JOURNAL OF CLINICAL ONCOLOGY, 2009, 27 (17) :2800-2808
[10]   A cycle-based model to predict blastocyst transfer cancellation [J].
Dessolle, Lionel ;
Freour, Thomas ;
Barriere, Paul ;
Darai, Emile ;
Ravel, Celia ;
Jean, Miguel ;
Coutant, Charles .
HUMAN REPRODUCTION, 2010, 25 (03) :598-604