Anti-mullerian hormone (AMH), antral follicle count (AFC) AND age predict IVF outcomes significantly better than follicle stimulating hormone (FSH)

Gada, R.; Morbeck, Dean E.; Amols, M.; Rollene, N.L.; Jensen, Jani R.; Coddington, Charles C.

doi:10.1016/j.fertnstert.2010.07.407

Cited by 4 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, it is a powerful means for predicting ovarian response to COH. [ 24 ] Our results showed circulation AMH level was significantly higher in the PCOS patients and this finding was confirmed the previous researches. [ 25 ] Furthermore, we found that PCOS patients with high AMH levels had a higher number of follicle retrieved.…”

Section: Discussionsupporting

confidence: 91%

Evaluation of relationship between serum levels of anti-müllerian hormone, androgen, and insulin resistant with retrieval oocytes in overweight patients with polycystic ovary syndrome

et al. 2015

View full text Add to dashboard Cite

Background:This study aimed to find a correlation between increased body mass index (BMI), insulin resistance (IR), hyperandrogenism, and anti-mullerian hormone (AMH) serum levels with the number of follicles retrieved in polycystic ovary syndrome (PCOS) patients.Materials and Methods:The descriptive study was taken on 80 women with average ages of 20-35 years at Alzahra Hospital of Tabriz-Iran who referred for in vitro fertilization. Patients were divided into four groups and serum levels of AMH, testosterone and IR were evaluated at the puncture time.Results:The mean number of follicle retrieved was higher in PCOS (P < 0.05) group than non-PCOS patients. There was a negative significant correlation of follicle number with BMI (r = −0.26, P < 0.05). The ratio of follicle numbers in PCOS/overweight group decreased in comparison to PCOS/normal weight group (−30%, P < 0.05) while the follicle numbers in non-PCOS/overweight patients decreased in comparison with non-PCOS/normal weight (−26%, P > 0.05). There was a significant negative association between BMI with AMH (r = −0.59, P < 0.05), BMI with the follicle numbers (r = −0.2, P < 0.05) and a positive association BMI with -IR (r = 0.3, P < 0.05), but there wasn’t a significant correlation between BMI with testosterone (r = 0.1, P < 0.5).Conclusion:Our finding provides that increasing BMI with direct effect on AMH levels and IR can affect the number of follicles, which are retrieved in these patients.

show abstract

Section: Discussionsupporting

confidence: 91%

Evaluation of relationship between serum levels of anti-müllerian hormone, androgen, and insulin resistant with retrieval oocytes in overweight patients with polycystic ovary syndrome

et al. 2015

View full text Add to dashboard Cite

show abstract

“…15 . Gada et al showed that there was a strong correlation between AMH and AFC (Correlation coefficient, R= 0.72) 13 . Barbakadze et al reported that according to regression analysis, age only ex-plained the variation of AMH in 22%, the variation of FSH in 14% and the variation of AFC in 27% of changes 9 .…”

Section: Resultsmentioning

confidence: 99%

“…Barbakadze et al consisted that AMH showed a negative correlation with FSH (rs=-0.48, p<0.0001)9 . Gada et al found that there was a negative correlation between AMH and FSH (R= -0.41)13 . Okunola et al showed in their study the Pearson's coef-ficient for the correlation between FSH and AMH after controlling for age was -0.311 (p=0.012)14 .…”

mentioning

confidence: 99%

Correlation Between Follicle Stimulating Hormone, Anti-Müllerian Hormone and Antral Follicle Count with Different Age Groups in Infertile Women

Bhowmik

Fatima

Banu

et al. 2021

Chatt Maa Shi Hosp Med Coll J

View full text Add to dashboard Cite

Background: Reduced ovarian reserve predicts poor ovarian response and poor suc-- cess rates in infertile women who undergo Assisted Reproductive Technology (ART). Ovarian reserve decreases with age but the rate of decline varies from one woman to another. Follicle Stimulating Hormone (FSH) Anti-Müllerian Hormone (AMH) and antral follicle count (AFC) represent the three most frequently utilized laboratory tests in determining Ovarian Reserve (OR). To determine correlation between FSH, AMH and AFC in infertile female. Materials and methods: It was an observational (Cross sectional) study. This study was done in the Department of Reproductive Endocrinology and Infertility, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, between July 2018 to June 2019. The study population consisted of all the diagnosed female infertility patients of reproductive age. The women attending the study center during study period having primary or secondary infertility was considered as study population. They were divided in 4 age groups 21-25, 26-30, 31-35 yrs and 36-40 yrs years. Data was collected using a structured questionnaire following physical & lab examination. For D2 FSH level fasting blood was collected on D2/3 of menstrual cycle, serum FSH level was measured by ADVIA Centraur(R) XP immunoassay system. For S. AMH level blood sample was collected on 2nd day of cycle and measured by BECKMAN COULTER machine using Chemiluminescent Immunoassay method. For AFC count TVS was done on D2-5 of cycle using KONTRON medical USG machine. Collected data were classified, edited, coded and entered into the computer for statistical analysis by using SPSS version 23. Results: Out of 74 patients the mean age was found 32.6±5.5 years. Serum FSH, AMH and AFC were significantly associated with different age group. A negative correlation was found between serum FSH and serum AMH in all age group. But strong correlation found in age group 31-35 yrs and in 36-40 years age group. A negative correlation was found between serum FSH and total AFC in age group 26- 30 years, 31-35 years and 36-40 years respectively. A positive correlation was found between serum AMH and total AFC in all age group but most strong in age group 31-35 years. In multivariate logistic regression analysis serum AMH (<1.0 ng/ml) and total AFC (<5 number) were found to be significantly associated with age group >35 years patients. Conclusion: In all age grqoup, FSH, AMH and AFC correlates but it is more pronounced in advanced age that means >35 years age group. Chatt Maa Shi Hosp Med Coll J; Vol.20 (1); January 2021; Page 22-27

show abstract

An Ovarian Reserve Assessment Model Based on Anti-Müllerian Hormone Levels, Follicle-Stimulating Hormone Levels, and Age: Retrospective Cohort Study (Preprint)

Xu¹,

Shi²,

Feng³

et al. 2020

Preprint

View full text Add to dashboard Cite

BACKGROUND Previously, we reported a model for assessing ovarian reserves using 4 predictors: anti-Müllerian hormone (AMH) level, antral follicle count (AFC), follicle-stimulating hormone (FSH) level, and female age. This model is referred as the AAFA (anti-Müllerian hormone level–antral follicle count–follicle-stimulating hormone level–age) model. OBJECTIVE This study aims to explore the possibility of establishing a model for predicting ovarian reserves using only 3 factors: AMH level, FSH level, and age. The proposed model is referred to as the AFA (anti-Müllerian hormone level–follicle-stimulating hormone level–age) model. METHODS Oocytes from ovarian cycles stimulated by gonadotropin-releasing hormone antagonist were collected retrospectively at our reproductive center. Poor ovarian response (<5 oocytes retrieved) was defined as an outcome variable. The AFA model was built using a multivariable logistic regression analysis on data from 2017; data from 2018 were used to validate the performance of AFA model. Measurements of the area under the curve (AUC), sensitivity, specificity, positive predictive value, and negative predicative value were used to evaluate the performance of the model. To rank the ovarian reserves of the whole population, we ranked the subgroups according to the predicted probability of poor ovarian response and further divided the 60 subgroups into 4 clusters, A-D, according to cut-off values consistent with the AAFA model. RESULTS The AUCs of the AFA and AAFA models were similar for the same validation set, with values of 0.853 (95% CI 0.841-0.865) and 0.850 (95% CI 0.838-0.862), respectively. We further ranked the ovarian reserves according to their predicted probability of poor ovarian response, which was calculated using our AFA model. The actual incidences of poor ovarian response in groups from A-D in the AFA model were 0.037 (95% CI 0.029-0.046), 0.128 (95% CI 0.099-0.165), 0.294 (95% CI 0.250-0.341), and 0.624 (95% CI 0.577-0.669), respectively. The order of ovarian reserve from adequate to poor followed the order from A to D. The clinical pregnancy rate, live-birth rate, and specific differences in groups A-D were similar when predicted using the AFA and AAFA models. CONCLUSIONS This AFA model for assessing the true ovarian reserve was more convenient, cost-effective, and objective than our original AAFA model.

show abstract

Anti-mullerian hormone (AMH), antral follicle count (AFC) AND age predict IVF outcomes significantly better than follicle stimulating hormone (FSH)

Cited by 4 publications

References 0 publications

Evaluation of relationship between serum levels of anti-müllerian hormone, androgen, and insulin resistant with retrieval oocytes in overweight patients with polycystic ovary syndrome

Evaluation of relationship between serum levels of anti-müllerian hormone, androgen, and insulin resistant with retrieval oocytes in overweight patients with polycystic ovary syndrome

Correlation Between Follicle Stimulating Hormone, Anti-Müllerian Hormone and Antral Follicle Count with Different Age Groups in Infertile Women

An Ovarian Reserve Assessment Model Based on Anti-Müllerian Hormone Levels, Follicle-Stimulating Hormone Levels, and Age: Retrospective Cohort Study (Preprint)

Contact Info

Product

Resources

About