Quantum Menstrual Health Monitoring Study (QMHMS)
Quantitative Hormonal Biomarkers of Menstrual Health in Normal and Abnormal Cycles
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Thomas P Bouchard, MD
- Phone Number: 4036674296
- Email: thomasbouchard@quantumfertility.com
Study Locations
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Alberta
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Calgary, Alberta, Canada, T3H 0N9
- Recruiting
- Thomas Bouchard
-
Contact:
- Thomas Bouchard
- Phone Number: 4036674296
- Email: thomasbouchard@gmail.com
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Regularly menstruating, PCOS or athlete participants aged 18-45
- Negative pregnancy test at the beginning and at the end of each cycle
- Cycle lengths 24-34 days
- Knowledge of previous 3 cycle lengths
- Able to travel to Calgary Clinic for regular ultrasounds during the study period
Exclusion Criteria:
For regular cycles
- Anovulation in the last 3 cycles
- Currently or in the previous 3 months, on medications that are known to impair or stimulate ovulation (e.g. oral contraceptives, ovulation stimulants, etc)
- Known conditions that impair ovulation or fertility: polycystic ovarian syndrome, endometriosis, pelvic inflammatory disease in the last year, pituitary adenomas, exclusively breastfeeding
- Previous surgeries impacting the menstrual cycle: hysterectomy, bilateral oophorectomy
- Currently pregnant
For PCOS and athlete groups:
- Currently or in the previous 3 months, on medications that are known to impair or stimulate ovulation (e.g. oral contraceptives, ovulation stimulants, etc)
- Known conditions that impair ovulation or fertility: pelvic inflammatory disease in the last year, pituitary adenomas, exclusive breastfeeding
- Previous surgeries impacting the menstrual cycle: hysterectomy, bilateral oophorectomy
- Currently pregnant
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Regular cycles
To characterize quantitative hormones in the urine using the Mira monitor, along with other menstrual cycle biomarkers, and validate these in reference to serum hormonal measurements and the gold-standard of the ultrasound-day of ovulation in participants with normal menstrual cycles (cycle length 24-38 days).
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Using the Mira monitor to track the menstrual cycle
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Polycystic ovarian syndrome
To identify hormonal and other menstrual cycle biomarker variations in polycystic ovarian syndrome (PCOS) with oligomenorrhea.
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Using the Mira monitor to track the menstrual cycle
|
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Athletes
To identify hormonal and other menstrual cycle biomarker variations in oligomenorrheic athletes.
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Using the Mira monitor to track the menstrual cycle
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
The rise and fall of urine luteinizing hormone will predict of ovulation in all participants with confirmed ovulation
Time Frame: 1 year
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The LH surge on the Mira monitor will accurately predict ovulation within 1-2 days referenced to the ultrasound-day of ovulation
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1 year
|
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The rise in urine progesterone will confirm ovulation in all participants who have ovulated based on ultrasound
Time Frame: 1 year
|
The progesterone (PDG) rise on the Mira monitor will accurately confirm ovulation within 3-5 days of the ultrasound-day of ovulation
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1 year
|
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Follicle-stimulating hormone (FSH) and estrogen (E3G) changes will predict the onset of the fertile window at least 5 days before ovulation in participants with confirmed ovulation
Time Frame: 1 year
|
FSH and E3G changes on the Mira monitor will predict the beginning of the fertile window
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1 year
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Menstrual bleeding scores will be correlated with changes in progesterone
Time Frame: 1 year
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Menstrual bleeding scores, including heavy bleeding, will be indicative of abnormal conditions like PCOS and correlated with progesterone abnormalities
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1 year
|
|
Temperature rise will confirm ovulation in participants who have ovulated on ultrasound
Time Frame: 1 year
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Temperature, like progesterone, will rise to confirm ovulation 3-5 days after the ultrasound-confirmed day of ovulation
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1 year
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Study Director: Thomas Bouchard, MD, University of Calgary
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- REB23-0704
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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