Effectiveness of using ferning of the dried saliva crystallization to determine the fertile window in women with idiopathic infertility
Kolomiichenko et al.
The finding, in our words
The Ovul portable device, which analyses dried saliva crystallisation patterns to detect the fertile window, achieved 97.4% sensitivity and 97.6% accuracy in women with idiopathic infertility, outperforming urine test strips while both methods maintained 100% specificity against folliculometry. This supports its use as a decentralised, patient‑centric tool for home fertility monitoring that could reduce costs and improve convenience.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
In a study of 46 perinatal nicotine users, dried blood spots and saliva were used weekly to measure reproductive hormones, finding that lower postpartum estradiol and greater peripartum declines in oxytocin were associated with increased nicotine craving and use. This demonstrates the feasibility of decentralised microsampling and remote surveys for longitudinal hormone tracking in vulnerable populations.
Self-collected salivary progesterone and the ratio of estradiol to progesterone showed strong agreement with serum levels, supporting the use of saliva as a noninvasive matrix for monitoring the menstrual cycle.
Home DBS sampling gave testosterone results that agreed well with venous blood in men on intramuscular testosterone undecanoate, but showed falsely high values in those using topical gel, likely from skin contamination. Patients preferred home collection for its convenience, suggesting DBS is viable for decentralised monitoring of injectable testosterone if patients are taught proper technique.
In a feasibility pilot of 29 perimenopausal women using daily saliva progesterone measured at home, a significant association was seen between short luteal phases and having more cycles under 23 days, but this did not remain after adjusting for observation count and no differences were found for other cycle characteristics, suggesting short luteal phases may not reliably indicate cycle irregularity in this population.
Only 24% of participants completed this two-cycle feasibility study of AI-interpreted salivary ferning for ovulation prediction in females with irregular cycles, with 44% withdrawing citing cycle irregularity, pregnancy, or time constraints. The authors concluded that decentralised fertility trials must streamline procedures and provide ovulatory health education to improve retention and reduce burden before smartphone-based diagnostics can be scaled for this population.