Menu
Recruiting NCT05936840

Quantum Menstrual Health Monitoring Study

Observational Menstrual Cycle Abnormal Polycystic Ovary Syndrome Athletes

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
The protocol lists: Mira Monitor tracking.
Who it may be relevant to
Registry conditions: Menstrual Cycle Abnormal, Polycystic Ovary Syndrome, Athletes. Basic parameters: 18 years — 55 years · Female.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
Canada
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Official title

Quantitative Hormonal Biomarkers of Menstrual Health in Normal and Abnormal Cycles

Overview

The Quantum Menstrual Health Monitoring Study will measure four key reproductive hormones in the urine to characterize patterns that predict and confirm ovulation, referenced to serum hormones and the gold-standard of the ultrasound day of ovulation in participants with regular cycles. These normal cycles will provide a reference for comparison to irregular cycles in polycystic ovarian syndrome (PCOS) and athletes. Clinical signs in the menstrual cycle (e.g. menstrual bleeding, temperature) as well as vital sign and sleep patterns will also be referenced to hormonal changes.

Interventions

  • Device Mira Monitor tracking
    Using the Mira monitor to track the menstrual cycle

Primary outcome measures

  • The rise and fall of urine luteinizing hormone will predict of ovulation in all participants with confirmed ovulation [Time frame: 1 year]
  • The rise in urine progesterone will confirm ovulation in all participants who have ovulated based on ultrasound [Time frame: 1 year]
  • 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]
Secondary outcome measures (2)
  • Menstrual bleeding scores will be correlated with changes in progesterone [Time frame: 1 year]
  • Temperature rise will confirm ovulation in participants who have ovulated on ultrasound [Time frame: 1 year]

Eligibility criteria

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

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: Yes

Study design

Observational model
Cohort

Study locations

Canada · 1 center
  • Thomas Bouchard — Calgary

Identifiers

NCT: NCT05936840 · REB23-0704

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗