Literature DB >> 11821092

Predictors of poor ovarian response in in vitro fertilization: a prospective study comparing basal markers of ovarian reserve.

László F J M M Bancsi1, Frank J M Broekmans, Marinus J C Eijkemans, Frank H de Jong, J Dik F Habbema, Egbert R te Velde.   

Abstract

OBJECTIVE: To identify and quantify predictors of poor ovarian response in in vitro fertilization (IVF). DESIGN; Prospective study. SETTING; Tertiary fertility center. PATIENT(S): One hundred twenty women undergoing their first IVF cycle. INTERVENTION(S): Measurement of the number of antral follicles and the total ovarian volume by ultrasound, and of basal levels of FSH, E(2), and inhibin B on cycle day 3. MAIN OUTCOME MEASURE(S): Ovarian response, and clinical and ongoing pregnancy rates. RESULT(S); The antral follicle count was the best single predictor for poor ovarian response: area under the receiver operating characteristic curve = 0.87. Addition of basal FSH and inhibin B levels to a logistic model with the antral follicle count significantly improved the prediction of poor response; the addition of basal E(2) levels and total ovarian volume did not improve the prediction. To express the discriminative performance of this model toward poor response, a maximum area under the receiver operating characteristic curve of 0.92 was calculated. Poor responders had significantly lower clinical and ongoing pregnancy rates than did normal responders. CONCLUSION(S): Our data demonstrate that the antral follicle count provides better prognostic information on the occurrence of poor response during hormone stimulation for IVF than does the patient's chronological age and the currently used endocrine markers. However, endocrine tests remain informative. Multivariate models can achieve more accurate predictions of outcomes of complex events like ovarian response in IVF.

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Year:  2002        PMID: 11821092     DOI: 10.1016/s0015-0282(01)02983-1

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


  60 in total

1.  Antral follice counts (AFC) predict ovarian response and pregnancy outcomes in oocyte donation cycles.

Authors:  Alaina Vrontikis; Peter L Chang; Peter Kovacs; Steven R Lindheim
Journal:  J Assist Reprod Genet       Date:  2010-05-14       Impact factor: 3.412

2.  Single and repeated GnRH agonist stimulation tests compared with basal markers of ovarian reserve in the prediction of outcome in IVF.

Authors:  D J Hendriks; F J Broekmans; L F J M M Bancsi; C W N Looman; F H de Jong; E R te Velde
Journal:  J Assist Reprod Genet       Date:  2005-02       Impact factor: 3.412

Review 3.  Ovarian reserve evaluation: state of the art.

Authors:  Bruno Ramalho de Carvalho; Ana Carolina Japur de Sá Rosa e Silva; Júlio César Rosa e Silva; Rosana Maria dos Reis; Rui Alberto Ferriani; Marcos Felipe Silva de Sá
Journal:  J Assist Reprod Genet       Date:  2008-08-05       Impact factor: 3.412

4.  Cost-effectiveness analysis comparing continuation of assisted reproductive technology with conversion to intrauterine insemination in patients with low follicle numbers.

Authors:  Bo Yu; Sunni Mumford; G Donald Royster; James Segars; Alicia Y Armstrong
Journal:  Fertil Steril       Date:  2014-06-18       Impact factor: 7.329

5.  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

6.  "Anti-Mullerian Hormone: Marker for Ovarian Response in Controlled Ovarian Stimulation for IVF Patients": A First Pilot Study in the Indian Population.

Authors:  Neeta Singh; Ekta Malik; Ayan Banerjee; Kunzang Chosdol; V Sreenivas; Suneeta Mittal
Journal:  J Obstet Gynaecol India       Date:  2013-02-22

7.  The clinical analysis of poor ovarian response in in-vitro-fertilization embryo-transfer among Chinese couples.

Authors:  X M Zhen; J Qiao; R Li; L N Wang; P Liu
Journal:  J Assist Reprod Genet       Date:  2008-01-18       Impact factor: 3.412

8.  Demographic characteristics and clinical profile of poor responders in IVF / ICSI: A comparative study.

Authors:  Nabaneeta Padhy; Shalu Gupta; Asmita Mahla; M Latha; Thangam Varma
Journal:  J Hum Reprod Sci       Date:  2010-05

Review 9.  Approaches to improve the diagnosis and management of infertility.

Authors:  P Devroey; B C J M Fauser; K Diedrich
Journal:  Hum Reprod Update       Date:  2009-04-20       Impact factor: 15.610

10.  Impact of female age and male infertility on ovarian reserve markers to predict outcome of assisted reproduction technology cycles.

Authors:  Tsung-Hsien Lee; Chung-Hsien Liu; Chun-Chia Huang; Kung-Chen Hsieh; Pi-Mei Lin; Maw-Sheng Lee
Journal:  Reprod Biol Endocrinol       Date:  2009-09-17       Impact factor: 5.211

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