Research Methods Measurement and Statistics

Ovulation detection methods for urinary hormones: precision, daily and intermittent sampling and a combined hierarchical method

O'Connor KA, Brindle E, Miller RC, Shofer JB, Ferrell RJ, Klein NA, Soules MR, Holman DJ, Mansfield PK, Wood JW

Published June 2006 Human reproduction (Oxford, England)
DOI 10.1093/humrep/dei497 PMID 16439502

Abstract

Background

We evaluate the performance of ovulation detection methods and present new approaches, including evaluation of methods for precision, combining multiple markers into a hierarchical system and using ovulation markers in intermittent sampling designs.

Methods

With serum LH peak day as the 'gold standard' of ovulation, we estimated accuracy and precision of ovulation day algorithms using 30 ovulatory menstrual cycles with daily urinary and serum hormones and transvaginal ultrasound. Sensitivity and specificity for estimating the presence of ovulation were tested using visually assessed ovulatory (30) and anovulatory (22) cycles.

Results

Sensitivity and specificity ranged from 70 to 100% for estimating presence of ovulation with twice-per-cycle, weekly, twice weekly, every-other-day and daily specimens. A combined hierarchical method estimated ovulation day using daily specimens within +/-2 days of the gold standard in 93% of cases. Accuracy of estimating ovulation day within +/-2 days using intermittent sampling ranged from 40% (weekly sampling) to 97% (every-other-day).

Conclusions

A combined hierarchical algorithm using precise and accurate markers allows maximal use of available data for efficient and objective identification of ovulation using daily specimens. In intermittent sampling designs, the presence and the timing of ovulation can be estimated with good sensitivity, specificity and accuracy.

Topics

By this author

Related research

Research Methods › Measurement and Statistics › Instrument Development and Validation · Menstrual Cycle › Cycle Biomarkers › Hormonal Markers · Diagnostics › Cycle Biomarkers › Ovulation Detection
PMID 16439502 16439502 DOI 10.1093/humrep/dei497 10.1093/humrep/dei497 O'Connor et al. 2006, O'Connor 2006