Literature DB >> 21733503

National study of factors influencing assisted reproductive technology outcomes with male factor infertility.

Ajay K Nangia1, Barbara Luke, James F Smith, Winifred Mak, Judy E Stern.   

Abstract

OBJECTIVE: To evaluate the outcomes of assisted reproductive technology (ART) cycles for male factor infertility, and method of sperm collection.
DESIGN: Historic cohort study.
SETTING: Clinic-based data. PATIENTS: Cycles from the Society for Assisted Reproductive Technology Clinic Outcomes Reporting System database for 2004 to 2008 were limited to three groups: non-intracytoplasmic sperm injection (ICSI) and ICSI cycles for tubal ligation only; non-ICSI and ICSI cycles for male factor infertility only; and all cycles (regardless of infertility diagnosis) using ICSI only. INTERVENTION(S) AND MAIN OUTCOME MEASURE(S): Multivariate logistic regression was used to model the adjusted odds ratio (AOR) of clinical intrauterine gestation (CIG) and live birth (LB) rates for tubal ligation versus male factor infertility only; ICSI versus non-ICSI for male factor infertility only; and ICSI outcomes based on method of sperm collection. RESULT(S): Models for male factor infertility only versus tubal ligation only ICSI cycles had lower CIG (AOR 0.92) but not LB (AOR 0.87). No difference was seen for non-ICSI cycles. Within male factor infertility only cycles, ICSI had a worse outcome than non-ICSI for CIG (AOR 0.93) but not for LB (AOR 0.94). For all ICSI cycles with no male factor infertility and ejaculated sperm as the reference group, models showed better rates of CIG with male factor infertility ejaculated sperm (AOR 1.07) and with male factor infertility aspirated sperm (AOR 1.09). The LB rate was higher with male factor infertility ejaculated sperm only (AOR 1.04). CONCLUSION(S): The ICSI and sperm source influence CIG and LB rates in male factor infertility cases.
Copyright © 2011 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21733503     DOI: 10.1016/j.fertnstert.2011.06.026

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


  12 in total

1.  Live birth rates and birth outcomes by diagnosis using linked cycles from the SART CORS database.

Authors:  Judy E Stern; Morton B Brown; Ethan Wantman; Suleena Kansal Kalra; Barbara Luke
Journal:  J Assist Reprod Genet       Date:  2013-09-07       Impact factor: 3.412

2.  The effect of father's age in fertile, subfertile, and assisted reproductive technology pregnancies: a population based cohort study.

Authors:  Judy E Stern; Barbara Luke; Mark D Hornstein; Howard Cabral; Daksha Gopal; Hafsatou Diop; Milton Kotelchuck
Journal:  J Assist Reprod Genet       Date:  2014-09-06       Impact factor: 3.412

3.  Surgically acquired sperm use for assisted reproductive technology: trends and perinatal outcomes, USA, 2004-2015.

Authors:  Jennifer F Kawwass; Jeani Chang; Sheree L Boulet; Ajay Nangia; Akanksha Mehta; Dmitry M Kissin
Journal:  J Assist Reprod Genet       Date:  2018-04-26       Impact factor: 3.412

Review 4.  In vitro fertilization and adverse childhood outcomes: what we know, where we are going, and how we will get there. A glimpse into what lies behind and beckons ahead.

Authors:  Suleena Kansal Kalra; Kurt T Barnhart
Journal:  Fertil Steril       Date:  2011-03-16       Impact factor: 7.329

5.  Validation of birth outcomes from the Society for Assisted Reproductive Technology Clinic Outcome Reporting System (SART CORS): population-based analysis from the Massachusetts Outcome Study of Assisted Reproductive Technology (MOSART).

Authors:  Judy E Stern; Daksha Gopal; Rebecca F Liberman; Marlene Anderka; Milton Kotelchuck; Barbara Luke
Journal:  Fertil Steril       Date:  2016-05-18       Impact factor: 7.329

Review 6.  Sperm DNA fragmentation testing: Summary evidence and clinical practice recommendations.

Authors:  Sandro C Esteves; Armand Zini; Robert Matthew Coward; Donald P Evenson; Jaime Gosálvez; Sheena E M Lewis; Rakesh Sharma; Peter Humaidan
Journal:  Andrologia       Date:  2020-10-27       Impact factor: 2.775

7.  A Novel Predictive Model to Estimate the Number of Mature Oocytes Required for Obtaining at Least One Euploid Blastocyst for Transfer in Couples Undergoing in vitro Fertilization/Intracytoplasmic Sperm Injection: The ART Calculator.

Authors:  Sandro C Esteves; José F Carvalho; Fabiola C Bento; Jonathan Santos
Journal:  Front Endocrinol (Lausanne)       Date:  2019-02-28       Impact factor: 5.555

8.  Starting a family: characteristics associated with men's reproductive preferences.

Authors:  Lawrence M Kessler; Benjamin M Craig; Christopher Saigal; Gwendolyn P Quinn
Journal:  Am J Mens Health       Date:  2012-10-29

9.  Treatment of infertility in women with polycystic ovary syndrome: approach to clinical practice.

Authors:  Anderson Sanches Melo; Rui Alberto Ferriani; Paula Andrea Navarro
Journal:  Clinics (Sao Paulo)       Date:  2015-11       Impact factor: 2.365

10.  Human semen quality and the secondary sex ratio.

Authors:  Jisuk Bae; Sungduk Kim; Zhen Chen; Michael L Eisenberg; Germaine M Buck Louis
Journal:  Asian J Androl       Date:  2017 May-Jun       Impact factor: 3.285

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