- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07253454
Combined Use of Machine Learning and Metabolomics to Improve the Diagnosis and Management of Hyperandrogenism (HYPERMETABO)
Hyperandrogenism is a common reason for consultation, the causes of which can range from common conditions (PCOS) to rarer conditions with major genetic implications (NC21OHD). It is characterized by elevated levels of circulating androgens, mainly testosterone. This excess of androgens usually manifests clinically as increased male-pattern hair growth and, less specifically, acne and alopecia. Its prevalence is estimated at between 6 and 12% in women of reproductive age, and its incidence is increasing.
It is also responsible for infertility. As a reminder, infertility is a major public health issue and affects more and more couples around the world.
The investigators therefore wish to develop innovative tools to improve the diagnosis and management of hyperandrogenism
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Hyperandrogenism is a common reason for consultation, the causes of which can range from common conditions (PCOS) to rarer conditions with major genetic implications (NC21OHD). It is characterized by elevated levels of circulating androgens, mainly testosterone. This excess of androgens usually manifests clinically as increased male-pattern hair growth and, less specifically, acne and alopecia. Its prevalence is estimated at between 6 and 12% in women of reproductive age, and its incidence is increasing.
It is also responsible for infertility. As a reminder, infertility is a major public health issue and affects more and more couples around the world.
The investigators therefore wish to develop innovative tools to improve the diagnosis and management of hyperandrogenism
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Anne Pr BACHELOT
- Phone Number: 0033 01 42 16 02 46
- Email: anne.bachelot@aphp.fr
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Patients of childbearing age (16 to 45 years old)
- Suffering from hyperandrogenism
- Established etiological diagnosis with elimination of differential diagnoses
- Informed and not opposed to the collection of their data for the purposes of the study
Exclusion Criteria:
- Pregnancy
- Patients under legal protection measures
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
principal group
|
collection of data from medical records over a period of 5 years
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Use of machine learning models combined with metabolomics to distinguish between different causes of hyperandrogenism
Time Frame: 5 years
|
5 years
|
Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Use of metabolomics to improve the management of patients with hyperandrogenism
Time Frame: 5 years
|
5 years
|
|
Use of metabolomics to predict CYP21A2 genotyping results
Time Frame: 5 years
|
5 years
|
|
Study of the impact of anti-androgenic hormone therapy on the predictive capabilities of the model
Time Frame: 5 years
|
5 years
|
Collaborators and Investigators
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimated)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Urogenital Diseases
- Endocrine System Diseases
- Male Urogenital Diseases
- Female Urogenital Diseases
- Female Urogenital Diseases and Pregnancy Complications
- Gonadal Disorders
- Congenital Abnormalities
- Disorders of Sex Development
- Urogenital Abnormalities
- 46, XX Disorders of Sex Development
- Adrenogenital Syndrome
- Congenital, Hereditary, and Neonatal Diseases and Abnormalities
- Hyperandrogenism
- Health Care Quality, Access, and Evaluation
- Investigative Techniques
- Epidemiologic Methods
- Health Care Evaluation Mechanisms
- Quality of Health Care
- Public Health
- Environment and Public Health
- Data Collection
Other Study ID Numbers
- APHP251139
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
The procedures carried out with the French data privacy authority (CNIL, Commission nationale de l'informatique et des libertés) do not provide for the transmission of the database, nor do the information and consent documents signed by the patients.
Consultation by the editorial board or interested researchers of individual participant data that underlie the results reported in the article after deidentification may nevertheless be considered, subject to prior determination of the terms and conditions of such consultation and in respect for compliance with the applicable regulations.
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- ICF
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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