Literature DB >> 26551441

Outcomes of in vitro fertilization with preimplantation genetic diagnosis: an analysis of the United States Assisted Reproductive Technology Surveillance Data, 2011-2012.

Jeani Chang1, Sheree L Boulet2, Gary Jeng2, Lisa Flowers2, Dmitry M Kissin2.   

Abstract

OBJECTIVE: To assess the characteristics of IVF cycles for which preimplantation genetic diagnosis (PGD) was used and to evaluate indications for PGD and treatment outcomes associated with this procedure as compared with cycles without PGD with the data from the U.S. National ART Surveillance System.
DESIGN: Retrospective cohort study.
SETTING: None. PATIENT(S): Fresh autologous cycles that involved transfer of at least one embryo at blastocyst when available. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): PGD indications and age-specific reproductive outcomes. RESULT(S): There were a total of 97,069 non-PGD cycles and 9,833 PGD cycles: 55.6% were performed for aneuploidy screening (PGD Aneuploidy), 29.1% for other reasons (PGD Other), and 15.3% for genetic testing (PGD Genetic). In comparison to non-PGD cycles, PGD Aneuploidy cycles showed a decreased odds of miscarriage among women 35-37 years (adjusted odds ratio [aOR] 0.62; 95% CI, 0.45-0.87) and women >37 years (aOR 0.55; 95% CI, 0.43-0.70); and an increased odds of clinical pregnancy (aOR 1.18; 95% CI, 1.05-1.34), live-birth delivery (aOR 1.43; 95% CI, 1.26-1.62), and multiple-birth delivery (aOR 1.98; 95% CI, 1.52-2.57) among women >37 years. CONCLUSION(S): Aneuploidy screening was the most common indication for PGD. Use of PGD was not observed to be associated with an increased odds of clinical pregnancy or live birth for women <35 years. PGD for aneuploidy was associated with a decreased odds of miscarriage for women >35 years, but an increased odds of a live-birth and a multiple live-birth delivery among women >37 years. Published by Elsevier Inc.

Entities:  

Keywords:  Aneuploidy; chromosomal abnormality; genetic; in vitro fertilization; preimplantation genetic diagnosis

Mesh:

Year:  2015        PMID: 26551441      PMCID: PMC5023328          DOI: 10.1016/j.fertnstert.2015.10.018

Source DB:  PubMed          Journal:  Fertil Steril        ISSN: 0015-0282            Impact factor:   7.329


  25 in total

Review 1.  Technology requirements for preimplantation genetic diagnosis to improve assisted reproduction outcomes.

Authors:  Santiago Munné; Dagan Wells; Jacques Cohen
Journal:  Fertil Steril       Date:  2009-05-05       Impact factor: 7.329

2.  Preimplantation genetic testing: a Practice Committee opinion.

Authors: 
Journal:  Fertil Steril       Date:  2008-11       Impact factor: 7.329

Review 3.  Clinical evaluation of preimplantation genetic diagnosis.

Authors:  A H Handyside
Journal:  Prenat Diagn       Date:  1998-12       Impact factor: 3.050

4.  Public reporting of clinical outcomes of assisted reproductive technology programs: implications for other medical and surgical procedures.

Authors:  Eli Y Adashi; Ron Wyden
Journal:  JAMA       Date:  2011-09-14       Impact factor: 56.272

Review 5.  Preimplantation genetic diagnosis: technical advances and expanding applications.

Authors:  Stephen C Collins
Journal:  Curr Opin Obstet Gynecol       Date:  2013-06       Impact factor: 1.927

Review 6.  The ESHRE PGD Consortium: 10 years of data collection.

Authors:  J C Harper; L Wilton; J Traeger-Synodinos; V Goossens; C Moutou; S B SenGupta; T Pehlivan Budak; P Renwick; M De Rycke; J P M Geraedts; G Harton
Journal:  Hum Reprod Update       Date:  2012-02-16       Impact factor: 15.610

7.  Use of preimplantation genetic diagnosis and preimplantation genetic screening in the United States: a Society for Assisted Reproductive Technology Writing Group paper.

Authors:  Elizabeth S Ginsburg; Valerie L Baker; Catherine Racowsky; Ethan Wantman; James Goldfarb; Judy E Stern
Journal:  Fertil Steril       Date:  2011-08-26       Impact factor: 7.329

8.  Predictive value of preimplantation genetic diagnosis for aneuploidy screening in repeated IVF-ET cycles among women with recurrent implantation failure.

Authors:  K Pagidas; Y Ying; D Keefe
Journal:  J Assist Reprod Genet       Date:  2008-02-12       Impact factor: 3.412

9.  Chromosome abnormalities in 1255 cleavage-stage human embryos.

Authors:  C Márquez; M Sandalinas; M Bahçe; M Alikani; S Munné
Journal:  Reprod Biomed Online       Date:  2000       Impact factor: 3.828

10.  Selection of single blastocysts for fresh transfer via standard morphology assessment alone and with array CGH for good prognosis IVF patients: results from a randomized pilot study.

Authors:  Zhihong Yang; Jiaen Liu; Gary S Collins; Shala A Salem; Xiaohong Liu; Sarah S Lyle; Alison C Peck; E Scott Sills; Rifaat D Salem
Journal:  Mol Cytogenet       Date:  2012-05-02       Impact factor: 2.009

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  36 in total

1.  Technology versus biology: the limits of pre-implantation genetic screening: Better methods to detect the origin of aneuploidy in pre-implantation embryos could improve the success rate of artificial reproduction.

Authors:  Eli Y Adashi; Rajiv C McCoy
Journal:  EMBO Rep       Date:  2017-03-29       Impact factor: 8.807

2.  Cumulus cell pappalysin-1, luteinizing hormone/choriogonadotropin receptor, amphiregulin and hydroxy-delta-5-steroid dehydrogenase, 3 beta- and steroid delta-isomerase 1 mRNA levels associate with oocyte developmental competence and embryo outcomes.

Authors:  Richard J Kordus; Akhtar Hossain; Michael C Corso; Hrishikesh Chakraborty; Gail F Whitman-Elia; Holly A LaVoie
Journal:  J Assist Reprod Genet       Date:  2019-06-11       Impact factor: 3.412

3.  First successful trial of preimplantation genetic diagnosis for pantothenate kinase-associated neurodegeneration.

Authors:  Objoon Trachoo; Chonthicha Satirapod; Bhakbhoom Panthan; Matchuporn Sukprasert; Angkana Charoenyingwattana; Wasun Chantratita; Wicharn Choktanasiri; Suradej Hongeng
Journal:  J Assist Reprod Genet       Date:  2016-11-04       Impact factor: 3.412

4.  Literacy assessment of preimplantation genetic patient education materials exceed national reading levels.

Authors:  Macy L Early; Priyanka Kumar; Arik V Marcell; Cathleen Lawson; Mindy Christianson; Lydia H Pecker
Journal:  J Assist Reprod Genet       Date:  2020-05-29       Impact factor: 3.412

5.  The association between quality of supernumerary embryos in a cohort and implantation potential of the transferred blastocyst.

Authors:  Phillip A Romanski; Randi H Goldman; Leslie V Farland; Serene S Srouji; Catherine Racowsky
Journal:  J Assist Reprod Genet       Date:  2018-07-05       Impact factor: 3.412

6.  Cost-effectiveness of preimplantation genetic screening for women older than 37 undergoing in vitro fertilization.

Authors:  Stephen C Collins; Xiao Xu; Winifred Mak
Journal:  J Assist Reprod Genet       Date:  2017-07-27       Impact factor: 3.412

7.  Prenatal screening for chromosomal abnormalities in IVF patients that opted for preimplantation genetic screening/diagnosis (PGS/D): a need for revised algorithms in the era of personalized medicine.

Authors:  Afua Takyi; Joaquin Santolaya-Forgas
Journal:  J Assist Reprod Genet       Date:  2017-03-29       Impact factor: 3.412

8.  Pre-implantation genetic testing: decisional factors to accept or decline among in vitro fertilization patients.

Authors:  Brandy Lamb; Erin Johnson; Leslie Francis; Melinda Fagan; Naomi Riches; Isabella Canada; Alena Wilson; Amber Mathiesen; Maya Sabatello; Shawn Gurtcheff; Erica Johnstone; Erin Rothwell
Journal:  J Assist Reprod Genet       Date:  2018-08-03       Impact factor: 3.412

Review 9.  The why, the how and the when of PGS 2.0: current practices and expert opinions of fertility specialists, molecular biologists, and embryologists.

Authors:  Karen Sermon; Antonio Capalbo; Jacques Cohen; Edith Coonen; Martine De Rycke; Anick De Vos; Joy Delhanty; Francesco Fiorentino; Norbert Gleicher; Georg Griesinger; Jamie Grifo; Alan Handyside; Joyce Harper; Georgia Kokkali; Sebastiaan Mastenbroek; David Meldrum; Marcos Meseguer; Markus Montag; Santiago Munné; Laura Rienzi; Carmen Rubio; Katherine Scott; Richard Scott; Carlos Simon; Jason Swain; Nathan Treff; Filippo Ubaldi; Rita Vassena; Joris Robert Vermeesch; Willem Verpoest; Dagan Wells; Joep Geraedts
Journal:  Mol Hum Reprod       Date:  2016-06-02       Impact factor: 4.025

10.  Morphokinetic parameters from a time-lapse monitoring system cannot accurately predict the ploidy of embryos.

Authors:  Jingye Zhang; Wenrong Tao; Hui Liu; Guanling Yu; Mei Li; Shuiying Ma; Keliang Wu
Journal:  J Assist Reprod Genet       Date:  2017-07-04       Impact factor: 3.412

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