Literature DB >> 29264991

The influence of age, body mass index, waist-to-hip ratio and anti-Mullerian hormone level on clinical pregnancy rates in ART.

Andre Amsiejiene1,2, Grazina Drasutiene1, Audrone Usoniene2, Janina Tutkuviene3, Saule Vilsinskaite4, Liucija Barskutyte4.   

Abstract

The aim of this study was to estimate the influence of age, body mass index, waist-to-hip ratio and anti-Mullerian hormone levels on clinical pregnancies in assisted reproduction technologies (ART). We used the database of the fertility clinic both the in vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI) units. A total of 1134 treatment cycles from 2013 through 2015 were analyzed. We evaluated clinical pregnancy rate in terms of age, body mass index, waist-to-hip ratio, anti-Mullerian hormone level. The clinical pregnancy rate was 39.9%. The live birth rate was 25.5%. Women who conceived where statistically significantly younger and had lower body mass index. No statistical differences across pregnancy groups were found for waist-to-hip ratio, and anti-Mullerian hormone levels. Low AMH levels do not influence pregnancy rates in younger patients (<36 years).

Entities:  

Keywords:  AMH; BMI; IVF; infertility

Mesh:

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Year:  2017        PMID: 29264991     DOI: 10.1080/09513590.2017.1399692

Source DB:  PubMed          Journal:  Gynecol Endocrinol        ISSN: 0951-3590            Impact factor:   2.260


  3 in total

1.  Association between parental anthropometric measures and the outcomes of intracytoplasmic sperm injection cycles.

Authors:  Amanda Setti; Gabriela Halpern; Daniela Braga; Rita Figueira; Assumpto Iaconelli; Edson Borges
Journal:  J Assist Reprod Genet       Date:  2018-12-05       Impact factor: 3.412

Review 2.  Anti-müllerian hormone as a predictor for live birth among women undergoing IVF/ICSI in different age groups: an update of systematic review and meta-analysis.

Authors:  Ni-Jie Li; Qing-Yun Yao; Xiao-Qiong Yuan; Yong Huang; Yu-Feng Li
Journal:  Arch Gynecol Obstet       Date:  2022-07-30       Impact factor: 2.493

3.  Early prediction of live birth for assisted reproductive technology patients: a convenient and practical prediction model.

Authors:  Hong Gao; Dong-E Liu; Yumei Li; Xinrui Wu; Hongzhuan Tan
Journal:  Sci Rep       Date:  2021-01-11       Impact factor: 4.379

  3 in total

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