Monitoring of ovarian activity by daily measurement of urinary excretion rates of oestrone glucuronide and pregnanediol glucuronide using the Ovarian Monitor, Part III: Variability of normal menstrual cycle profiles

Blackwell, Leonard F.; Vigil, Pilar; Cooke, Delwyn G.; d’Arcangues, Catherine; Brown, J. B.

doi:10.1093/humrep/det389

Cited by 31 publications

(38 citation statements)

References 20 publications

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“…Using urinary samples, LH levels 2.1 to 61 times baseline levels were observed (38). New monitors that include urinary measurements of progesterone metabolites (24, 25) should help reduce the variability in assessment of ovulatory status; however, further research is needed to compare monitor performance to transvaginal ultrasound among larger cohorts of women (34). …”

Section: Discussionmentioning

confidence: 99%

Assessment of anovulation in eumenorrheic women: comparison of ovulation detection algorithms

Lynch

Mumford

Schliep

et al. 2014

Fertility and Sterility

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Objective To compare previously used algorithms to identify anovulatory menstrual cycles in women self-reporting regular menses. Design Prospective cohort study Setting Western New York Study participants 259 healthy, regularly menstruating women followed for one (n=9) or two (n=250) menstrual cycles (2005–2007). Intervention(s) None. Main Outcome Measure(s) Prevalence of sporadic anovulatory cycles identified using eleven previously defined algorithms that utilize estradiol, progesterone, and luteinizing hormone (LH) concentrations. Result(s) Algorithms based on serum LH, estradiol, and progesterone levels detected a prevalence of anovulation across the study period of 5.5% to 12.8% (concordant classification for 91.7% to 97.4% of cycles). The prevalence of anovulatory cycles varied from 3.4% to 18.6% using algorithms based on urinary LH alone or with the primary estradiol metabolite, estrone-3-glucuronide (E3G), levels. Conclusion(s) The prevalence of anovulatory cycles among healthy women varied by algorithm. Mid-cycle LH surge urine-based algorithms used in over-the-counter fertility monitors tended to classify a higher proportion of anovulatory cycles compared to luteal phase progesterone serum-based algorithms. Our study demonstrates that algorithms based on the LH surge, or in conjunction with E3G, potentially estimate a higher percentage of anovulatory episodes. Addition of measurements of post-ovulatory serum progesterone or urine pregnanediol may aid in detecting ovulation.

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Section: Discussionmentioning

confidence: 99%

Assessment of anovulation in eumenorrheic women: comparison of ovulation detection algorithms

Lynch

Mumford

Schliep

et al. 2014

Fertility and Sterility

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“…Some previous studies have compared urinary hormone profiles relative to each other, but not relative to the objective day of ovulation [13,14]. For example, a recent study by Blackwell et al looked at urinary hormone profiles of estrone glucuronide (EG), pregnanediol glucuronide (PdG) and luteinising hormone (LH), using a mixture of laboratory and home-based monitoring, and concluded that urinary hormone monitoring was a useful tool for cycle examination [14].…”

Section: Introductionmentioning

confidence: 99%

“…For example, a recent study by Blackwell et al looked at urinary hormone profiles of estrone glucuronide (EG), pregnanediol glucuronide (PdG) and luteinising hormone (LH), using a mixture of laboratory and home-based monitoring, and concluded that urinary hormone monitoring was a useful tool for cycle examination [14]. Other studies analysing serum hormone profiles have used the day of the LH peak to establish reference ranges [15], but this introduces relevant imprecision into the profiles, as it makes assumptions in timing of peak LH levels relative to ovulation.…”

Section: Introductionmentioning

confidence: 99%

Development of the first urinary reproductive hormone ranges referenced to independently determined ovulation day

Johnson¹,

Weddell²,

Godbert³

et al. 2015

Clinical Chemistry and Laboratory Medicine (CCLM)

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“…Likewise, there are differences in hormonal patterns, even in ovulatory cycles, which introduce a further source of difficulty into the analysis [34,35]. This compromises the utility of all fertility awareness methods that solely rely on statistical parameters or calculation rules of the menstrual cycle (i.e.…”

Section: Discussionmentioning

confidence: 99%

Comparison between the different methods developed for determining the onset of the LH surge in urine during the human menstrual cycle

Godbert¹,

Miró²,

Shreeves³

et al. 2015

Arch Gynecol Obstet

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Purpose To determine whether an optimal method exists for the detection of the luteinising hormone (LH) surge onset in research datasets of urinary hormonal profiles of menstrual cycles. Methods The scientific literature was searched to compare published methodologies for detection of the LH surge onset in urine. Their performance was tested using complete hormonal profiles from 254 ovulatory cycles from 227 women attempting pregnancy (normal regular menstrual cycles; no known infertility). Results Three major methodologies to determine the onset of the LH surge in urine were identified. The key difference between these methods is how the cycle days that contribute to LH baseline assessment are determined: using fixed days (method #1), based on peak LH day (method #2), based on a provisional estimate of the LH surge (method #3). Method #1 requires no prior cycle information, whereas methods #2 and #3 need to consider complete cycle data. The most reliable method for calculation of baseline LH was using 2 days before the estimated surge day, plus the previous 4/5 days. Conclusions Different methods for identification of the urinary LH surge can provide very different determinations of LH surge day, thus care must be taken when comparing between studies that apply different methodologies. The optimal method for determining the onset of the LH surge in urine requires retrospective estimation of day of LH surge to identify the most appropriate part of the cycle to consider as the baseline. This method can be adopted for application in population studies.

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Monitoring of ovarian activity by daily measurement of urinary excretion rates of oestrone glucuronide and pregnanediol glucuronide using the Ovarian Monitor, Part III: Variability of normal menstrual cycle profiles

Cited by 31 publications

References 20 publications

Assessment of anovulation in eumenorrheic women: comparison of ovulation detection algorithms

Assessment of anovulation in eumenorrheic women: comparison of ovulation detection algorithms

Development of the first urinary reproductive hormone ranges referenced to independently determined ovulation day

Comparison between the different methods developed for determining the onset of the LH surge in urine during the human menstrual cycle

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