Literature DB >> 23102859

Diagnosis and treatment of diminished ovarian reserve in assisted reproductive technology cycles of women up to age 40 years: the role of insurance mandates.

Samantha F Butts1, Sarah Ratcliffe, Anuja Dokras, David B Seifer.   

Abstract

OBJECTIVE: To explore correlates of diminished ovarian reserve (DOR) and predictors of assisted reproductive technologies (ART) treatment outcome in DOR cycles using the Society for Assisted Reproductive Technologies-Clinical Outcomes Reporting System (SART-CORS) database; we hypothesized that mandated state insurance coverage for ART is associated with the prevalence of DOR diagnosis in ART cycles and with treatment outcomes in DOR cycles.
DESIGN: Cross-sectional study using ART cycles between 2004 and 2007.
SETTING: Not applicable. PATIENT(S): A total of 182,779 fresh, nondonor, initial ART cycles in women up to age 40 years. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Prevalence of DOR and elevated FSH, odds ratio of DOR and elevated FSH in ART mandated vs. nonmandated states, live birth rates. RESULT(S): Compared with cycles performed in states with mandated ART coverage, cycles in states with no ART mandate were more likely to have DOR (adjusted odds ratio 1.43, 95% confidence interval 1.37-1.5) or elevated FSH (adjusted odds ratio 1.69, 95% confidence interval 1.56-1.85) as the sole reason for treatment. Lack of mandated ART coverage was associated with increased live birth rates in cycles diagnosed as DOR, but not in cycles characterized only by an elevated FSH. CONCLUSION(S): A significant association was observed between lack of mandated insurance for ART and the proportion of cycles treating DOR or elevated FSH. The presence or absence of state-mandated ART coverage could impact access to care and the mix of patients that pursue and initiate ART cycles in ways that influence these proportions. Additional studies are needed that consider the coalescence of insurance mandates, patient and provider factors, and state-level variables on the odds of specific infertility diagnoses and treatment prognosis.
Copyright © 2013 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 23102859      PMCID: PMC3561490          DOI: 10.1016/j.fertnstert.2012.09.026

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


  14 in total

1.  A moderately elevated day 3 FSH concentration has limited predictive value, especially in younger women.

Authors:  M A Esposito; C Coutifaris; K T Barnhart
Journal:  Hum Reprod       Date:  2002-01       Impact factor: 6.918

2.  Insurance coverage and outcomes of in vitro fertilization.

Authors:  Tarun Jain; Bernard L Harlow; Mark D Hornstein
Journal:  N Engl J Med       Date:  2002-08-29       Impact factor: 91.245

3.  Basal follicle-stimulating hormone level is a better predictor of in vitro fertilization performance than age.

Authors:  J P Toner; C B Philput; G S Jones; S J Muasher
Journal:  Fertil Steril       Date:  1991-04       Impact factor: 7.329

4.  Early follicular serum müllerian-inhibiting substance levels are associated with ovarian response during assisted reproductive technology cycles.

Authors:  David B Seifer; David T MacLaughlin; Benjamin P Christian; Bo Feng; Robert M Shelden
Journal:  Fertil Steril       Date:  2002-03       Impact factor: 7.329

5.  Evaluation of the ovarian reserve in young low responders with normal basal levels of follicle-stimulating hormone using three-dimensional ultrasonography.

Authors:  A Pellicer; G Ardiles; F Neuspiller; J Remohí; C Simón; F Bonilla-Musoles
Journal:  Fertil Steril       Date:  1998-10       Impact factor: 7.329

6.  Insurance mandates and trends in infertility treatments.

Authors:  Melinda B Henne; M Kate Bundorf
Journal:  Fertil Steril       Date:  2007-05-07       Impact factor: 7.329

7.  Correlation of telomere length and telomerase activity with occult ovarian insufficiency.

Authors:  Samantha Butts; Harold Riethman; Sarah Ratcliffe; Alka Shaunik; Christos Coutifaris; Kurt Barnhart
Journal:  J Clin Endocrinol Metab       Date:  2009-10-28       Impact factor: 5.958

8.  Reproductive aging and variability in the ovarian antral follicle count: application in the clinical setting.

Authors:  Karl R Hansen; Jamie L Morris; Angela C Thyer; Michael R Soules
Journal:  Fertil Steril       Date:  2003-09       Impact factor: 7.329

9.  The value of basal and/or stimulated serum gonadotropin levels in prediction of stimulation response and in vitro fertilization outcome.

Authors:  S J Muasher; S Oehninger; S Simonetti; J Matta; L M Ellis; H C Liu; G S Jones; Z Rosenwaks
Journal:  Fertil Steril       Date:  1988-08       Impact factor: 7.329

Review 10.  Mullerian Inhibiting Substance is an ovarian growth factor of emerging clinical significance.

Authors:  David B Seifer; David T Maclaughlin
Journal:  Fertil Steril       Date:  2007-06-07       Impact factor: 7.329

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  4 in total

1.  Diminished ovarian reserve in the United States assisted reproductive technology population: diagnostic trends among 181,536 cycles from the Society for Assisted Reproductive Technology Clinic Outcomes Reporting System.

Authors:  Kate Devine; Sunni L Mumford; Mae Wu; Alan H DeCherney; Micah J Hill; Anthony Propst
Journal:  Fertil Steril       Date:  2015-06-11       Impact factor: 7.329

2.  Assisted hatching and intracytoplasmic sperm injection are not associated with improved outcomes in assisted reproduction cycles for diminished ovarian reserve: an analysis of cycles in the United States from 2004 to 2011.

Authors:  Samantha F Butts; Carter Owen; Monica Mainigi; Suneeta Senapati; David B Seifer; Anuja Dokras
Journal:  Fertil Steril       Date:  2014-07-30       Impact factor: 7.329

Review 3.  The Bologna criteria for poor ovarian response: a contemporary critical appraisal.

Authors:  Johnny S Younis; Moshe Ben-Ami; Izhar Ben-Shlomo
Journal:  J Ovarian Res       Date:  2015-11-17       Impact factor: 4.234

4.  Searching for female reproductive aging and longevity biomarkers.

Authors:  Svetlana Yureneva; Viktoriya Averkova; Denis Silachev; Andrey Donnikov; Alla Gavisova; Vladimir Serov; Gennady Sukhikh
Journal:  Aging (Albany NY)       Date:  2021-06-22       Impact factor: 5.682

  4 in total

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