A New Algorithm to Predict Ovarian Age (OvAge)

December 7, 2016 updated by: Fulvio Zullo, University Magna Graecia

A New Algorithm to Predict Ovarian Age Combining Clinical, Biochemical and 3D-ultrasonographic Parameters: OvAge

To collect data of clinical, biochemical and 3D-ultrasonographic parameters of a population of fertile women aged 18-55 in order to design a new algorithm able to predict ovarian age and to evaluate the reliability of a multimodal diagnostic evaluation of ovarian age in term of both reproductive prognosis and distance to menopause following the guidelines of the Standards for Reporting of Diagnostic Accuracy initiative (STARD)

Study Overview

Status

Unknown

Conditions

Intervention / Treatment

Detailed Description

The normal process of reproductive aging varies considerably among women. This implies that some women remain highly fertile until the fifth decade of their life, whereas others face the loss of natural fertility already in their mid-thirties. Female reproductive aging seems to be largely based on age related changes in ovarian function. Decreasing numbers of follicles, coinciding with diminished oocyte quality, dictate the gradual changes in menstrual cycle regularity and monthly fecundity which inevitable evolution will be menopause. The mechanisms behind the observed gradual decline of the follicle pool and the reduced oocyte quality are far from being fully understood, although recent knowledge regarding the endocrine, paracrine, genetic, and metabolic factors involved has led to a better understanding of this immensely complex puzzle.

Within the context of normal female reproductive aging, as already outlined, large individual variation exists in the age at which the various reproductive events occur. This variation has major implications for the preventive management of age-related decreased fertility and general health risks associated with extremely early menopause in conditions such as POF. Moreover, distance from menopause is an important parameter which can lead clinician's choice in the appropriate timing for surgical treatment of benign gynecological pathologies.

Although chronological age is the most important predictor of physiological ovarian response to endogenous and exogenous Follicle-stimulating Hormone (FSH), both environmental and genetic factors contribute to biological ovarian ageing, so that chronological and biological age are not always equivalent. Among genetic factors able to determine age at which menopause will occur, the most important are the size of the initial oocyte stock, the proportion that undergoes atresia and the rate of initiation of follicles growth. It has been suggested, moreover, that certain single nucleotide polymorphisms (such as regarding FSH receptors genotype) also affect sensitivity to gonadotrophins and ovarian ageing [Alviggi 45]. Environmental factors such as diet, cigarette smoking, regimens of chemotherapy or radiotherapy, endometriosis or ovarian surgery may shorten the functional lifespan of a woman's ovaries too.

Even if the continuous follicles loss will only be recognized in the late stages by cycle irregularity, endocrine and ultrasound markers have emerged over the last decade that may express more accurately the follicle number decline over a long time period. Among endocrine parameters, the most studied and used in clinical practice are FSH, Estradiol (E2) and Anti-Mullerian Hormone (AMH).

Basal FSH, extensively studied over the past few decades, provides the most indirect marker of ovarian reserve. FSH levels increase with advancing age, by reducing the negative feedback on FSH release from the pituitary [broekm vecchio 10]. High FSH levels therefore represent small cohort size. To exclude the possibility that confounding factors, such as E2 levels greater than 50 pg/ml, suppress FSH secretion, this parameters have to be always evaluated together on menstrual cycle days 1-4.

In women with varying degrees of hypergonadotropism (ranging from imminent ovarian failure to full-blown POF), however, the better parameter to assess the extent of ovarian follicle depletion seems to be represented by AMH (Broekm 109). It is a dimeric glycoprotein with autocrine and paracrine actions in follicle development, exclusively produced by granulose cells of preantral (primary and secondary) and small antral follicles (2-7 mm in diameters). The number of small antral follicles is directly related to the total size of the primordial follicle pool (Broekm 68). With the decrease in the number of antral follicles with age, AMH serum levels also become diminished (Br 66, 95, 104) and will invariably become undetectable near menopause (Br 65). Recent studies have indeed suggested that AMH serum levels represent ovarian quantitative reserve (Br 105-107) and may provide an index of age at menopause.

Regarding ultrasound markers, several studies, recently, demonstrated that Antral Follicle Count (AFC), defined as the total number of antral follicles, sized 2-10 mm, present in both ovaries, represents a better marker than either chronological age or basal FSH for assessing the ovarian biological age [alviggi 89] and it has also been correlated with the occurrence of the menopausal transition (broekm 66), indicating that this parameter relates strongly with the quantitative aspects of ovarian reserve.

As for AFC, ovarian volume, measured by vaginal ultrasound, has been associated to the ovarian functional asset and also transvaginal ultrasound with the use of power Doppler is often used to evaluate the blood flow through the ovary in natural cycles. Several studies, moreover, have shown that ovarian flow index at the baseline ultrasound scan are correlated with subsequent follicular response and may be a new indicator for predicting ovarian responsiveness in IVF treatment (Sattar 2005) The added value of ovarian volume and stromal blood flow, however, either individually or together, to AFC and endocrine markers, in the predictability of ovarian age has not been assessed in a multivariate module.

The challenge of any ovarian reserve tests, anyhow, lies in the possibility of identifying women with a reduced reproductive life span at such an early stage in their lives that adequate action can be taken. Basal endocrine levels and sonographic parameters, however, are usually considered to have low specificity and sensitivity when used both to predict low ovarian reserve in infertile women (Younis 2010) and to prognosticate distance from menopause. Although these simple tests have been extensively investigated in the past they have seldom been looked into in combination. On the contrary, improvement of tests for the identification of women with a reduced ovarian life span will probably come from combining endocrine and imaging evaluations.

Study Type

Observational

Enrollment (Anticipated)

720

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • Italy
    • CZ
      • Catanzaro, CZ, Italy, 88100
        • Recruiting
        • Chair of Obstetrics and Gynecology - University division - UMG
        • Sub-Investigator:
          • Elio Gulletta
        • Sub-Investigator:
          • Mariapia Falbo
        • Sub-Investigator:
          • Alessia Sarica
        • Sub-Investigator:
          • Mario Cannataro

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

16 years to 53 years (Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

Female

Sampling Method

Non-Probability Sample

Study Population

Healthy women

Description

Inclusion Criteria:

  • Age between 18 and 55 years
  • Consent to participate to the prospective study
  • Regular menses at 22 to 35 day interval

Exclusion Criteria:

  • Estrogen or progestin-containing medications in the month before enrollment
  • Gynecological malignancy
  • Hypogonadotropic hypogonadism
  • Assumption of drugs that can cause menstrual irregularity

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
OvAge assessment
Basal serum anti-Mullerian hormone (AMH), Follicle-stimulating hormone (FSH) and estradiol (E2), antral follicle count (AFC), ovarian volume, Vascularization Index (VI), Flow Index (FI) and Vascularization Flow Index (VFI) will be measured in all women between day 1 and day 4 of menstrual cycle
Other: OvAge assessment
Basal serum anti-Mullerian hormone (AMH), Follicle-stimulating hormone (FSH) and Estradiol (E2), antral follicle count (AFC), ovarian volume, Vascularization Index (VI), Flow Index (FI) and Vascularization Flow Index (VFI) will be measured in all women between day 1 and day 4 of menstrual cycle. Evaluation can be repeated after every kind of intervention regarding ovaries, both medical or surgical. Evaluation can be repeated also at interval of 3-6-12 months in order to study the modification of ovarian age when time passes.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Ovarian Age prediction
Time Frame: One month
Reliability of a multimodal diagnostic evaluation of ovarian age in term of both reproductive prognosis and distance to menopause
One month

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

University Magna Graecia

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

January 1, 2012

Primary Completion (Anticipated)

June 1, 2018

Study Completion (Anticipated)

June 1, 2018

Study Registration Dates

First Submitted

March 9, 2014

First Submitted That Met QC Criteria

March 11, 2014

First Posted (Estimate)

March 13, 2014

Study Record Updates

Last Update Posted (Estimate)

December 8, 2016

Last Update Submitted That Met QC Criteria

December 7, 2016

Last Verified

December 1, 2016

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • OvAge

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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