Mahnaz Ashrafi1,2, Akram Bahmanabadi1, Mohammad Reza Akhond3, Arezoo Arabipoor4. 1. Department of Endocrinology and Female Infertility at Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Number 12, East Hafez Avenue, Bani Hashem Street, Resalat Highway, Tehran, Iran. 2. Obstetrics and Gynecology Department, Faculty of Medicine, Iran University of Medical Science, Tehran, Iran. 3. Department of Epidemiology and Reproductive Health at Reproductive Epidemiology Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran. 4. Department of Endocrinology and Female Infertility at Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Number 12, East Hafez Avenue, Bani Hashem Street, Resalat Highway, Tehran, Iran. arezoo.arabipoor@gmail.com.
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.
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.
Entities:
Keywords:
Non-polycystic ovarian syndrome; OHSS; Risk factors; Statistical model
Authors: Khalid M Salama; Hesham M Abo Ragab; Mohammed F El Sherbiny; Ali A Morsi; Ibrahim I Souidan Journal: BMC Womens Health Date: 2017-11-13 Impact factor: 2.809