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OpenSampling

2023 · Medicina · paywalled

Using Hormone Data and Age to Pinpoint Cycle Day within the Menstrual Cycle

Hills et al.

The finding, in our words

Daily remote urine hormone monitoring of LH and PdG, together with age and cycle start day, can identify menstrual cycle phase and day with 95% confidence; this supports precise, patient-centric cycle tracking outside clinic settings.

A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.

Labels

  1. 2024

    This retrospective case series found that a protocol combining home-based urinary hormone testing with a smartphone application supported fertility management and family planning without unintended pregnancies. The findings suggest that integrating self-collected urinary data with digital tools offers a viable decentralised approach for ovulation prediction.

    Helping Patients to Predict and Confirm Ovulation with the Use of Combined Urinary Hormonal and Smartphone Technology: A Proof-of-Concept Retrospective Descriptive Case SeriesLeiva & Ecochard, Seminars in reproductive medicine · source ↗

    • multimodal
    • self-collection
    • fertility
    • hormones
    • urine
  2. 2020

    Among 32,595 women trying to conceive using a connected home ovulation test, only 12.4% actually had a 28-day cycle despite 25.3% perceiving they did, and over half had cycles varying by 5 days or more. The findings demonstrate that connected home testing reveals substantial individual variation in cycle length and ovulation timing, which could help women better time intercourse for conception.

    Real-life insights on menstrual cycles and ovulation using big dataSoumpasis et al., Human reproduction open · source ↗

    • urine
    • self-collection
    • fertility
    • hormones
    • digital-biomarker
    • multimodal
  3. 2026

    Menstrual blood offers a noninvasive, patient-centric matrix for detecting endometriosis, cervical cancer, and hormonal disorders through self-collected samples. Wearable in-pad biosensors enabling real-time monitoring and long-term tracking could transform fertility evaluation and early disease detection, though standardisation and large-scale validation remain critical gaps.

    Beyond waste: menstrual blood as a powerful diagnostic tool for women's healthShafiq et al., Annals of medicine and surgery · source ↗

    • blood
    • self-collection
    • fertility
    • hormones
    • wearable
    • multimodal
  4. 2025

    The Mira fertility monitor's LH surge and urine E1-3G levels correlated strongly with the ClearBlue Fertility Monitor's LH surge and low-to-high shift in both postpartum and perimenopause transitions, supporting at-home urine hormone monitoring for fertility tracking.

    Validating At-Home Urinary Hormone Measurements in Postpartum and Perimenopause Fertility TransitionsBouchard et al., Women's health reports · source ↗

    • urine
    • self-collection
    • validation
    • fertility
    • hormones
  5. 2025

    In this decentralised n-of-1 crossover trial of dapagliflozin in 20 adults with type 2 diabetes, remote collection of urine and capillary blood samples achieved 99.4% and 98.4% delivery success respectively, demonstrating that remote monitoring can reliably track individual albuminuria responses to therapy.

    Albuminuria Responses to Dapagliflozin in Patients With Type 2 Diabetes: A Crossover TrialBeernink et al., JAMA network open · source ↗

    • dct
    • multimodal
    • blood
    • rpm
    • self-collection
    • capillary
    • urine
    • biomarkers