Establishing a Gold Standard for Quantitative Menstrual Cycle Monitoring

Area of Science:

• Reproductive endocrinology
• Biomarker analysis
• Wearable health technology

Background:

• Menstrual cycle monitoring is crucial for reproductive health and fertility.
• Current methods for ovulation detection can be invasive or complex.
• There is a need for accessible, accurate at-home tools for tracking hormonal patterns.

Purpose of the Study:

• To validate an at-home urine hormone monitoring system against established methods for ovulation detection.
• To characterize urinary reproductive hormone patterns in individuals with regular and irregular menstrual cycles.
• To assess the potential of this technology for improving menstrual health literacy and fertility management.

Main Methods:

• Four key urinary hormones (FSH, E13G, LH, PDG) were measured using an at-home monitor.
• Ovulation timing was referenced against serum hormone levels and serial ultrasounds.
• Participants tracked cycles for 3 months, with data supplemented by a customized app for bleeding and temperature patterns.
• Three groups were studied: regular cycles, polycystic ovarian syndrome (PCOS) with irregular cycles, and athletes with irregular cycles.

Main Results:

• The study hypothesizes that quantitative urine hormone patterns from the Mira monitor will correlate with serum levels.
• It is expected that LH will predict ovulation and PDG will confirm it, validated by ultrasound.
• The monitor's accuracy will be assessed in both regular and irregular cycles, including those associated with PCOS and high exercise levels.

Conclusions:

• At-home quantitative urine hormone monitoring shows promise for accurate menstrual cycle tracking.
• Validated tools can empower individuals with greater menstrual health literacy.
• This technology may offer a new standard for remote clinical monitoring and fertility decision-making.