Choosing the optimal dose of human menopausal gonadotropins for ovarian stimulation in ICSI cycles

Objective: To identify the most important predictive variables for ovarian response and establishing a model that could predict the most suitable starting gonadotropin (Gn) dose to optimize ovarian stimulation thus avoiding the undesirable side effects of ovarian hyperstimulation and minimizing canc...

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Main Authors: Nawara M. Hashish, Eman K. Shaeer
Format: Article
Language:English
Published: SpringerOpen 2014-06-01
Series:Middle East Fertility Society Journal
Subjects:
Age
BMI
FSH
Online Access:http://www.sciencedirect.com/science/article/pii/S1110569013000885
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spelling doaj-fde32ed9a5514fbc9ececae9799ad77f2020-11-25T02:19:09ZengSpringerOpenMiddle East Fertility Society Journal1110-56902014-06-0119212412810.1016/j.mefs.2013.06.004Choosing the optimal dose of human menopausal gonadotropins for ovarian stimulation in ICSI cyclesNawara M. HashishEman K. ShaeerObjective: To identify the most important predictive variables for ovarian response and establishing a model that could predict the most suitable starting gonadotropin (Gn) dose to optimize ovarian stimulation thus avoiding the undesirable side effects of ovarian hyperstimulation and minimizing cancelation rates. Study design: Retrospective observational multicenter study. Materials and methods: Data of 233 normo ovulatory females below the age of 39 undergoing their first intracytoplasmic sperm injection (ICSI) trial were collected. All patients were on long protocol and human menopausal gonadotropin (HMG) was used for ovulation induction. Patients with at least 5 oocytes retrieved and good quality embryos transferred were included in the analysis. Results: Multivariate analysis revealed that predictive variables of statistical significance on Gn dose were age, body mass index (BMI), follicle stimulating hormone (FSH) and estradiol after downregulation (E2-DR). Fitting these factors in a model to calculate the starting Gn dose revealed this equation: Dose = 1.035 Age + 2.355 FSH + 0.340 BMI + 0.241 E2--DR – 15.266. The concordance probability index for this model is 60%. Conclusion: Age, basal FSH, BMI and E2 after downregulation are important predictors of ovarian response when considering a long protocol of ovarian stimulation and could help in selecting the appropriate starting dose of GN.http://www.sciencedirect.com/science/article/pii/S1110569013000885Ovarian responseGonadotropin doseAgeBMIFSHEstradiol
collection DOAJ
language English
format Article
sources DOAJ
author Nawara M. Hashish
Eman K. Shaeer
spellingShingle Nawara M. Hashish
Eman K. Shaeer
Choosing the optimal dose of human menopausal gonadotropins for ovarian stimulation in ICSI cycles
Middle East Fertility Society Journal
Ovarian response
Gonadotropin dose
Age
BMI
FSH
Estradiol
author_facet Nawara M. Hashish
Eman K. Shaeer
author_sort Nawara M. Hashish
title Choosing the optimal dose of human menopausal gonadotropins for ovarian stimulation in ICSI cycles
title_short Choosing the optimal dose of human menopausal gonadotropins for ovarian stimulation in ICSI cycles
title_full Choosing the optimal dose of human menopausal gonadotropins for ovarian stimulation in ICSI cycles
title_fullStr Choosing the optimal dose of human menopausal gonadotropins for ovarian stimulation in ICSI cycles
title_full_unstemmed Choosing the optimal dose of human menopausal gonadotropins for ovarian stimulation in ICSI cycles
title_sort choosing the optimal dose of human menopausal gonadotropins for ovarian stimulation in icsi cycles
publisher SpringerOpen
series Middle East Fertility Society Journal
issn 1110-5690
publishDate 2014-06-01
description Objective: To identify the most important predictive variables for ovarian response and establishing a model that could predict the most suitable starting gonadotropin (Gn) dose to optimize ovarian stimulation thus avoiding the undesirable side effects of ovarian hyperstimulation and minimizing cancelation rates. Study design: Retrospective observational multicenter study. Materials and methods: Data of 233 normo ovulatory females below the age of 39 undergoing their first intracytoplasmic sperm injection (ICSI) trial were collected. All patients were on long protocol and human menopausal gonadotropin (HMG) was used for ovulation induction. Patients with at least 5 oocytes retrieved and good quality embryos transferred were included in the analysis. Results: Multivariate analysis revealed that predictive variables of statistical significance on Gn dose were age, body mass index (BMI), follicle stimulating hormone (FSH) and estradiol after downregulation (E2-DR). Fitting these factors in a model to calculate the starting Gn dose revealed this equation: Dose = 1.035 Age + 2.355 FSH + 0.340 BMI + 0.241 E2--DR – 15.266. The concordance probability index for this model is 60%. Conclusion: Age, basal FSH, BMI and E2 after downregulation are important predictors of ovarian response when considering a long protocol of ovarian stimulation and could help in selecting the appropriate starting dose of GN.
topic Ovarian response
Gonadotropin dose
Age
BMI
FSH
Estradiol
url http://www.sciencedirect.com/science/article/pii/S1110569013000885
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