Anti-Mullerian Hormone Resistance
Conditions
Brief summary
To describe AMH serum levels dynamics during natural cycle using an automated assay.
Detailed description
The potential benefit would be using an automated assay for AMH, the dynamics of serum levels during the natural cycle and to check the inter-cycle variations. Because of the many clinical decisions that are based on AMH levels alone the results of this study could bring reassurance to the continuous use of AMH in daily practice. More importantly, no studies to date have been performed on the newer automated assays evaluating variability of AMH levels.
Interventions
None listed
Sponsors
ART Fertility Clinics LLC
Study design
Observational model
CASE_ONLY
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
FEMALE
Age
18 Years to 37 Years
Healthy volunteers
Yes
Inclusion criteria
* Women with written informed consent. * Women between ≥ 18 and ≤ 37 years of age. * BMI between 18 and 28. * Normal physical examination and pelvic exam.
Exclusion criteria
* Pregnancy. * Breastfeeding. * History of any disease/iatrogenic intervention which could have had an impact on the ovarian reserve (e.g. ovarian surgery, chemotherapy, radiation of the pelvis, endometriosis) * Intake of OCP for the two last menstrual cycles.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| AMH serum levels dynamic | 9months | In order to describe each hormone and its dynamics, will determine mean and standard deviations in each time and it will be represented with boxplot figures. Moreover,the investigator will define polynomial interpolation for dynamic values and each hormone will be represented with mean polynomial interpolation and variance band |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Inter-cycle AMH variations | 9months | inter-cycle variability of AMH across two cycles is concluded independently that AMH varies a little between cycles. |
Countries
United Arab Emirates
Outcome results
None listed