Literature DB >> 18616884

Relevance of basal serum FSH to IVF outcome varies with patient age.

L Sabatini1, A Zosmer, E M Hennessy, A Tozer, T Al-Shawaf.   

Abstract

Live birth rate (LBR), age and basal serum FSH values were analysed in 1589 women undergoing their first cycle of IVF. Four age groups (<30, 30-34, 35-38, 39-45 years) and three FSH groups (<5, 5-9.9, > or =10 IU/l) were established. Logistic regression analysis was used to determine the effect of age and FSH on live birth. A model to predict the probability of a live birth suggests that an additional 10 years of age reduces the odds for live birth (OR = 0.66, 95% CI 0.48-0.91); an increase of FSH by 5 IU/l reduces the probability of live birth (OR = 0.75, 95% CI 0.61-0.92); women > or =39 years have an additional reduction in probability of live birth (OR = 0.58, 95% CI 0.61-0.92). Analysis by age and FSH categories showed that pregnancy rate (PR) did not change significantly with rising FSH for women <35 years old. In cycles started with serum FSH <5 IU/l, increasing age did not effect PR and LBR. Cycles started with serum FSH > or =10 IU/l had a PR and LBR of 23.6 and 16.9% respectively. The clinical relevance of elevated FSH varies according to age; younger women with elevated FSH and older women with low FSH still have an acceptable LBR.

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Year:  2008        PMID: 18616884     DOI: 10.1016/s1472-6483(10)60287-8

Source DB:  PubMed          Journal:  Reprod Biomed Online        ISSN: 1472-6483            Impact factor:   3.828


  8 in total

1.  Associations of sperm mitochondrial DNA copy number and deletion rate with fertilization and embryo development in a clinical setting.

Authors:  Haotian Wu; Brian W Whitcomb; Alexandra Huffman; Nicole Brandon; Suzanne Labrie; Ellen Tougias; Kelly Lynch; Tayyab Rahil; Cynthia K Sites; J Richard Pilsner
Journal:  Hum Reprod       Date:  2019-01-01       Impact factor: 6.918

2.  Roles of kisspeptin in IVF/ICSI-treated infertile women and in human granulosa cells.

Authors:  Lixian Qin; Chantacha Sitticharoon; Somsin Petyim; Issarawan Keadkraichaiwat; Rungnapa Sririwichitchai; Pailin Maikeaw; Malika Churintaraphan; Chanakarn Sripong
Journal:  Exp Biol Med (Maywood)       Date:  2020-12-16

3.  Predictors of in vitro fertilization outcomes in women with highest follicle-stimulating hormone levels ≥ 12 IU/L: a prospective cohort study.

Authors:  Lina N Huang; Sunny H Jun; Nathalie Drubach; Michael H Dahan
Journal:  PLoS One       Date:  2015-04-13       Impact factor: 3.240

4.  Key performance indicators score (KPIs-score) based on clinical and laboratorial parameters can establish benchmarks for internal quality control in an ART program.

Authors:  José G Franco; Claudia G Petersen; Ana L Mauri; Laura D Vagnini; Adriana Renzi; Bruna Petersen; M C Mattila; Vanessa A Comar; Juliana Ricci; Felipe Dieamant; João Batista A Oliveira; Ricardo L R Baruffi
Journal:  JBRA Assist Reprod       Date:  2017-06-01

5.  Development and Validation of a Clinical Pregnancy Failure Prediction Model for Poor Ovarian Responders During IVF/ICSI.

Authors:  Fangyuan Li; Ruihui Lu; Cheng Zeng; Xin Li; Qing Xue
Journal:  Front Endocrinol (Lausanne)       Date:  2021-08-23       Impact factor: 5.555

6.  Factors associated with failed treatment: an analysis of 121,744 women embarking on their first IVF cycles.

Authors:  Siladitya Bhattacharya; Abha Maheshwari; Jill Mollison
Journal:  PLoS One       Date:  2013-12-05       Impact factor: 3.240

Review 7.  Models Predicting Success of Infertility Treatment: A Systematic Review.

Authors:  Alireza Zarinara; Hojjat Zeraati; Koorosh Kamali; Kazem Mohammad; Parisa Shahnazari; Mohammad Mehdi Akhondi
Journal:  J Reprod Infertil       Date:  2016 Apr-Jun

8.  Prediction of pregnancy outcome in fresh in vitro fertilization/intracytoplasmic sperm injection treatment in patients with poor ovarian reserve.

Authors:  Ying Chen; AiQin Niu; XingMei Feng; YaLi Zhang; Fei Li
Journal:  Aging (Albany NY)       Date:  2021-07-16       Impact factor: 5.682

  8 in total

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