Success' determinant variables in assisted reproduction

To perform a statistical analysis with variables that have influence on pregnancy rates to establish a prognostic factor of each one. We performed a retrospective, descriptive, and observational study with 240 patients that underwent to IVF-ET program. The analyzed variables were: infertility factor...

Full description

Saved in:
Bibliographic Details
Published in:Ginecologia y obstetricia de Mexico Vol. 73; no. 3; pp. 137 - 144
Main Authors: Ruiz Anguas, Julián, Carballo Mondragón, Esperanza, Durán Monterrosas, Leonor, Kably Ambe, Alberto
Format: Journal Article
Language:Spanish
Published: Mexico 01-03-2005
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:To perform a statistical analysis with variables that have influence on pregnancy rates to establish a prognostic factor of each one. We performed a retrospective, descriptive, and observational study with 240 patients that underwent to IVF-ET program. The analyzed variables were: infertility factor, ovarian stimulation protocol, age of patients, basal hormonal levels, oestradiol preovulatory levels, endometrial characteristics, fertilization rate, number and quality of oocytes, number and quality of embryos, and difficulty of the embryo transfer. The mean age of the patients was 34 +/- 4.42 years old. Tubal and pelvic pathologies were the main infertility cause. During the statistical analysis we observed that the only variables with differences regarding pregnancy were the number of cells in the embryo (7.18 vs 5.9), the fertilization rate (58.3 vs 50.1%), and the number of transferred embryos. With the logistic regression analysis we observed that the number of cells on each embryo had a relative risk of 1.37 (CI 95%; 1.15-1.63), and that the number of transferred embryos had one of 1.63 (CI 95%; 1.10-1.58). There are many variables that influence the pregnancy rates, but with our results we consider that the embryo quality, its characteristics and the number of transferred embryos could predict better the possibilities of pregnancy in IVF-ET programs.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0300-9041