CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Predictive factors of early moderate/severe ovarian hyperstimulation syndrome in non-polycystic ovarian syndrome patients: a statistical model
Authors
M.R. Akhond
A. Arabipoor
M. Ashrafi
A. Bahmanabadi
Publication date
1 January 2015
Publisher
Abstract
Purpose: To evaluate demographic, medical history and clinical cycle characteristics of infertile non-polycystic ovary syndrome (NPCOS) women with the purpose of investigating their associations with the prevalence of moderate-to-severe OHSS. Methods: In this retrospective study, among 7073 in vitro fertilization and/or intracytoplasmic sperm injection (IVF/ICSI) cycles, 86 cases of NPCO patients who developed moderate-to-severe OHSS while being treated with IVF/ICSI cycles were analyzed during the period of January 2008 to December 2010 at Royan Institute. To review the OHSS risk factors, 172 NPCOS patients without developing OHSS, treated at the same period of time, were selected randomly by computer as control group. We used multiple logistic regression in a backward manner to build a prediction model. Results: The regression analysis revealed that the variables, including age odds ratio (OR) 0.9, confidence interval (CI) 0.81�0.99, antral follicles count (OR 4.3, CI 2.7�6.9), infertility cause (tubal factor, OR 11.5, CI 1.1�51.3), hypothyroidism (OR 3.8, CI 1.5�9.4) and positive history of ovarian surgery (OR 0.2, CI 0.05�0.9) were the most important predictors of OHSS. The regression model had an area under curve of 0.94, presenting an allowable discriminative performance that was equal with two strong predictive variables, including the number of follicles and serum estradiol level on human chorionic gonadotropin day. Conclusion(s): The predictive regression model based on primary characteristics of NPCOS patients had equal specificity in comparison with two mentioned strong predictive variables. Therefore, it may be beneficial to apply this model before the beginning of ovarian stimulation protocol. © 2015, Springer-Verlag Berlin Heidelberg
Similar works
Full text
Available Versions
eprints Iran University of Medical Sciences
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:eprints.iums.ac.ir:4675
Last time updated on 10/10/2019