Concordance of Fingerstick and Venipuncture Sampling for Fertility Hormones

Comparison of Day-Specific Serum LH, Estradiol, and Progesterone with MiraTM Monitor Urinary LH, Estrone-3-glucuronide, and Pregnanediol-3-glucuronide Levels in Ovulatory Cycles

Background and Objectives: Fertility tracking apps and devices are now currently available, but urinary hormone levels lack accuracy and sensitivity in timing the start of the 6-day fertile window and the precise 24 h interval of transition from ovulation to the luteal phase. We hypothesized the serum hormones estradiol (E2) and progesterone (P) might be better biomarkers for these major ovulatory cycle events, using appropriate mathematical tools. Materials and Methods: Four women provided daily blood samples for serum E2, P, and LH (luteinizing hormone) levels throughout their entire ovulatory cycles, which were indexed to the first day of dominant follicle (DF) collapse (defined as Day 0) determined by transvaginal sonography; therefore, ovulation occurred in the 24 h interval of Day -1 (last day of maximum diameter DF) to Day 0. For comparison, a MiraTM fertility monitor was used to measure daily morning urinary LH (ULH), estrone-3-glucuronide (E3G), and pregnanediol-3-glucuronide (PDG) levels in three of these cycles. Results: There were more fluctuations in the MiraTM hormone levels compared to the serum levels. Previously described methods, the Fertility Indicator Equation (FIE) and Area Under the Curve (AUC) algorithm, were tested for identifying the start of the fertile window and the ovulation/luteal transition point using the day-specific hormone levels. The FIE with E2 levels predicted the start of the 6-day fertile window on Day -7 (two cycles) and Day -5 (two cycles), whereas no identifying signal was found with E3G. However, both pairs of (E2, P) and (E3G, PDG) levels with the AUC algorithm signaled the Day -1 to Day 0 ovulation/luteal transition interval in all cycles. Conclusions: serum E2 and (E2, P) were better biomarkers for signaling the start of the 6-day fertile window, but both MiraTM and serum hormone levels were successful in timing the [Day -1, Day 0] ovulatory/luteal transition interval. These results can presently be applied to urinary hormone monitors for fertility tracking and have implications for the direction of future fertility tracking technology.

Antimüllerian hormone levels are associated with time to pregnancy in a cohort study of 3,150 women

OBJECTIVE

To study the association between antimüllerian hormone (AMH) levels and time of pregnancy. Although it has been hypothesized that serum AMH levels may indicate the chance of conception, findings have been mixed. Given that any association is expected to be modest, and it is possible that previous studies have been underpowered, we investigated this relationship in the largest prospective cohort to date.

DESIGN

Prospective time-to-pregnancy cohort study.

SETTING

Community.

PATIENT(S)

A total of 3,150 US women who had been trying to conceive for <3 months and had purchased a Modern Fertility hormone test.

INTERVENTION(S)

We developed a discrete time-to-event model using a binomial complementary log-log error structure within a generalized additive modeling framework, adjusting for confounding factors such as age, body mass index, parity, smoking status, polycystic ovary syndrome, and others. Sensitivity analyses were performed in women with regular menstrual cycles (21-35 days), who did not report using fertility treatments, using alternate AMH level categories (<0.7, 0.7-8.5, >8.5 ng/mL), and AMH levels as a continuous measure.

MAIN OUTCOME MEASURE(S)

Primary outcomes included cumulative conception probability within 12 cycles and relative fecundability per menstrual cycle. Conception was defined by a self-reported positive pregnancy test.

RESULT(S)

Participants contributed 7.21 ± 5.32 cycles, with 1,325 (42.1%) achieving a pregnancy. Women with low AMH levels (<1 ng/mL, n = 427) had a lower chance of natural conception (adjusted hazard ratio [adjHR], 0.77; 95% confidence interval [CI], 0.64-0.94) compared with women with normal AMH levels (1-5.5 ng/mL). There was no difference between high (5.5+ ng/mL) and normal AMH level categories (adjHR, 1.11; 95% CI, 0.94-1.31). The inclusion of AMH improved the model (net reclassification index 0.10 [0.06-0.14]). The instantaneous probability of conception was highest in cycle four across all AMH categories: the probability of natural conception was 11.2% (95% CI, 9.0-14.0) for low AMH levels, 14.3% (95% CI, 12.3-16.5) for normal AMH levels, and 15.7% (95% CI, 12.9-19.0) for high AMH levels. In the regular cycles sensitivity analysis (n = 1,791), the low AMH group had a lower chance of conception (adjHR, 0.77; 95% CI, 0.61-0.97) in the low AMH group compared with normal AMH, and similarly in the continuous model (adjHR, 0.90; 95% CI, 0.85-0.95).

CONCLUSION(S)

Low AMH levels (<1 ng/mL) are independently associated with a modest but significant reduction in the chance of conception.

Concordance of hemoglobin A1c and reproductive hormone levels in menstrual and venous blood

Objective

To explore whether menstrual blood collected via a modified menstrual pad is a surrogate for venous blood drawn in analyzing hemoglobin A1c (HbA1c) and fertility-associated hormones.

Design

Cross-sectional study.

Setting

Clinical testing laboratory.

Patients

This study included 152 female participants who have regular menses, aged 19-50 years old.

Interventions

Participants collected menstrual effluent using a menstrual pad modified with a removable dried blood spot (DBS) strip. Peripheral blood samples were collected via venipuncture within 60 hours of menstrual pad use.

Main Outcome Measures

Menstrual pad and venous blood drawn samples were analyzed for levels of HbA1c, thyroid stimulating hormone (TSH), follicle-stimulating hormone (FSH), anti-müllerian hormone (AMH), and luteinizing hormone (LH). Correlation between menstrual pad and venipuncture samples was performed using Deming linear regression, and r coefficients were measured using Pearson correlation.

Results

The interassay variability of menstrual pad DBS sample measurements was <6%. Menstrual HbA1c values were stabilized in the DBS strips through 53 days, and menstrual hormone levels remained stable through 15 days. Menstrual HbA1c levels were highly correlated with venipuncture samples (r = 0.96). The levels of TSH (r = 0.94), AMH (r = 0.94), FSH (r = 0.91), and LH (r = 0.91) also showed a high correlation between menstrual strip and venipuncture samples.

Conclusions

The levels of HbA1c, TSH, AMH, FSH, and LH measurements in menstrual effluent showed a high correlation to venous blood samples, supporting the use of menstrual effluent as a surrogate sample for hormone testing.

Evaluation of at-home serum anti-Müllerian hormone testing: a head-to-head comparison study

BACKGROUND

For optimal fertility testing, serum anti-Müllerian hormone levels are used in combination with other testing to provide reliable ovarian reserve evaluations. The use of the ADx 100 card is widely commercially available for at-home reproductive hormone testing, but data demonstrating that its results are reproducible outside of a clinical setting are limited, as well as comparisons of its performance with other newer blood collection techniques. This study aimed to evaluate the concordance of serum AMH levels found via standard venipuncture and self-administered blood collection using the TAP II device (TAP) and ADx card in women of reproductive age.

METHODS

This was a prospective, head-to-head-to-head within-person crossover comparison trial that included 41 women of reproductive age (20-39 years). It was hypothesized that the TAP device would be superior to the ADx card both in terms of agreement with venipuncture reference standard and patient experience. Each subject had their blood drawn using the three modalities (TAP, ADx, and venipuncture). We evaluated the concordance of AMH assays from samples obtained via the TAP device and ADx card with the gold standard being venipuncture. Two-sided 95% CIs were generated for each method to compare relative performance across all three modes. Patient preference for the TAP device versus the ADx card was based on self-reported pain and Net Promoter Score (NPS).

RESULTS

The TAP device was superior to the ADx card on all outcome measures. TAP R-squared with venipuncture was 0.99 (95% CI 0.99, > 0.99), significantly higher than the ADx card, which had an R-squared of 0.87 (95% CI 0.80, 0.94) under most favorable treatment. TAP sensitivity and specificity were both 100% (no clinical disagreement with venipuncture), versus 100 and 88%, respectively, for the ADx card. Average pain reported by users of the TAP device was significantly lower than the ADx card (0.75 versus 2.73, p < 0.01) and the NPS was significantly higher than the ADx card (+ 72 versus - 48, p < 0.01).

CONCLUSIONS

The TAP was non-inferior to venipuncture and superior to the ADx card with respect to correlation and false positives. Moreover, the TAP was superior to both alternatives on patient experience.

TRIAL REGISTRATION

NCT04784325 (Mar 5, 2021).

Anti-Müllerian hormone levels among contraceptive users: evidence from a cross-sectional cohort of 27,125 individuals

BACKGROUND

Anti-Müllerian hormone has become the clinical biomarker-based standard to assess ovarian reserve. As anti-Müllerian hormone testing becomes more common, more individuals are seeking to interpret the values obtained while using contraceptives. To appropriately counsel women, a better understanding of anti-Müllerian hormone levels in women using different contraceptives is needed.

OBJECTIVE

To study the association between different forms of contraceptives and anti-Müllerian levels in women of reproductive age.

STUDY DESIGN

This is a cross-sectional study including 27,125 US-based women aged 20 to 46 years, accessing reproductive hormone results through Modern Fertility and who provided informed consent to participate in the research. Anti-Müllerian hormone levels were collected through dried blood spot card (95.9%) or venipuncture (4.1%), and previous work has shown high correlation between hormone levels collected by these 2 methods. Multiple linear regressions were run to compare anti-Müllerian hormone levels in women using contraceptives with women not on any contraceptive, controlling for age, age of menarche, body mass index, smoking, sample collection method, cycle day, and self-reported polycystic ovary syndrome diagnosis. We also analyzed whether duration of contraceptive use predicted anti-Müllerian hormone levels in users of the hormonal intrauterine device and combined oral contraceptive pill, given the size of these contraceptive groups.

RESULTS

Mean anti-Müllerian hormone levels were statistically significantly lower in women using the combined oral contraceptive pill (23.68% lower; coefficient, 0.76; 95% confidence interval, 0.72-0.81; P<.001), vaginal ring (22.07% lower; coefficient, 0.78; 95% confidence interval, 0.71-0.86; P<.001), hormonal intrauterine device (6.73% lower; coefficient, 0.93; 95% confidence interval, 0.88-0.99; P=.014), implant (23.44% lower; coefficient, 0.77; 95% confidence interval, 0.69-0.85; P<.001), or progestin-only pill (14.80% lower; coefficient, 0.85; 95% confidence interval, 0.76-0.96; P=.007) than women not on any contraceptive when controlling for covariates. Anti-Müllerian hormone levels were not significantly different when comparing women not using any contraceptives to those using the copper intrauterine device (1.57% lower; coefficient, 0.98; 95% confidence interval, 0.92-1.05, P=.600). Associations between contraceptive use and anti-Müllerian hormone levels did not differ based on self-reported polycystic ovary syndrome diagnosis. Duration of hormonal intrauterine device use, but not of combined oral contraceptive pill use, was slightly positively associated with anti-Müllerian hormone levels, although this small magnitude effect is likely not clinically meaningful (coefficient, 1.002; 95% confidence interval, 1.0005-1.003; P=.007).

CONCLUSION

Current hormonal contraceptive use is associated with a lower mean anti-Müllerian hormone level than that of women who are not on contraceptives, with variability in the percent difference across contraceptive methods. These data provide guidance for clinicians on how to interpret anti-Müllerian hormone levels assessed while on contraceptives and may facilitate more patients to continue contraceptive use while being evaluated for their ovarian reserve.

The Fertility Indicator Equation Using Serum Progesterone and Urinary Pregnanediol-3-Glucuronide for Assessment of Ovulatory to Luteal Phase Transition

Background and Objectives: The Fertility Indicator Equation (FIE) has been shown to signal the fertile phase during the ovulatory menstrual cycle. It was hypothesized that this formulation, a product of two sequential normalized changes with a sign indicating direction of change, could be used to identify the transition from ovulatory to luteal phase with daily serum progesterone (P) and urinary pregnanediol-3-glucuronide (PDG) levels. Materials and Methods: Day-specific serum P levels from two different laboratories and day-specific urinary PDG levels from an additional two different laboratories were submitted for FIE analysis. These day-specific levels included mean or median, 5th, 10th, 90th and 95th percentile data. They were indexed to the day of ovulation, day 0, by ultrasonography, serum or urinary luteinizing hormone (LH). Results: All data sets showed a clear "cluster"-a periovulatory sequence of positive FIE values with a maximum. All clusters of +FIE signaled the transition from the ovulatory to luteal phase and were at least four days in length. The start day for the serum P and urinary PDG FIE clusters ranged from -3 to -1 and -3 to +2, respectively. The end day for serum P and PDG clusters went from +2 to +7 and +4 to +8, respectively. Outside these periovulatory FIE-P and FIE-PDG clusters, there were no consecutive positive FIE values. In addition, the maximum FIE-P and FIE-PDG values throughout the entire cycles were found in the clusters. Conclusions: FIE analysis with either daily serum P or urinary PDG levels provided a distinctive signature to recognize the periovulatory interval. The Fertility Indicator Equation served to robustly signal the transition from the ovulatory phase to the luteal phase. This may have applications in natural family planning especially with the recent emergence of home PDG tests.

A Novel Fertility Indicator Equation Using Estradiol Levels for Assessment of Phase of the Menstrual Cycle

Background and Objectives: Urinary hormone home monitoring assays are now available for fertility awareness methods (FAMs) of family planning, but lack sensitivity and precision in establishing the start of the fertile phase. We hypothesized that with a suitable algorithm, daily serum or blood estradiol (E2) levels could serve as a better analyte to determine the phase of the ovulatory cycle and the fertile start day (FSD). Materials and Methods: Published day-specific serum E2 levels, indexed to the serum luteinizing hormone (LH) peak, were analyzed from three independent laboratories for a threshold for a FSD. A fertility indicator quation (FIE) was discovered and tested with these data and a FSD was determined using the mean or median and variance ranges of the day-specific E2 data. Results: The considerable variance of day-specific serum E2 levels made an absolute serum E2 indicator for phase of cycle problematic. However, a FIE was discovered which maps the day-specific E2 levels of the ovulatory cycle enabling the fertile phase and transition to the luteal phase to be signaled. In this equation, FIE(D) is the value of FIE on day, D, of the cycle and has both a magnitude and sign. The magnitude of FIE(D) is the product of the normalized change in day-specific E2 levels over two consecutive intervals, (D-2, D-1) and (D-1, D), multiplied by 100, and is formulated as: (E2 (on D-1) - E2 (on D-2))/E2 (on D-2) × (E2(on D) - E2 (on D-1))/E2 (on D-1) × 100. The sign of FIE(D) is either + or - or ind (indeterminate) and is assigned on the basis of the direction of this product. Using a FIE threshold of ≥2.5 as the start of the fertile phase, the FSDs were Day -5 or Day -6, with FSD Day -4 for an outlier set of E2 levels. The maximum FIE value ranged 9.5-27.8 and occurred most often on Day -2. An inflection point with a large change in FIE magnitude and change in sign from + to - always occurred at Day 0 for all sets of day-specific E2 data signaling transition to the luteal phase. Conclusions: The fertility indicator equation, a product of two sequential normalized changes in serum E2 levels with a sign indicating confidence in direction of change, is powerful in identifying the fertile phase and subsequent transition to the postovulatory phase and may serve as a useful algorithm for FAMs of family planning.

US Women's Perceptions and Acceptance of New Reproductive Health Technologies

Background: Women have faced persistent problems accessing reproductive health care. New applications of health technologies to reproductive health, specifically online fertility specialist consultations and reproductive hormone self-collection tests (SCTs), present unique opportunities to overcome these issues. This article uses the technology acceptance model to examine factors that influence women's intentions to use these new reproductive health technologies. Materials and Methods: Participants (n = 327 US women) completed an online survey assessing perceptions related to both of these reproductive health technologies, including usefulness, ease of use, risk, trust, subjective norms, and personal responsibility, to learn about fertility. Results: Participants indicated high perceptions of usefulness, ease of use, and trust, as well as low perceptions of risk and subjective norms for both online fertility consultations (OFCs) and reproductive hormone SCTs. Women indicated low perceptions of responsibility to use OFCs, but high perceptions of responsibility to use reproductive hormone SCTs. Structural equation modeling indicated that intentions to use OFCs were predicted by usefulness, subjective norms, and responsibility; intentions to use reproductive hormone SCTs were predicted by usefulness, ease of use, subjective norms, and responsibility. Conclusions: Fertility specialist consultations and reproductive hormone testing can provide women with essential fertility information that facilitates informed reproductive decisions; however, these services have historically been difficult to access. Widespread uptake of new reproductive health technologies could promote positive advances in women's reproductive health outcomes.

Advances in Precision Health and Emerging Diagnostics for Women

During the Dutch winter famine of 1944–1945, an interesting observation was made about the offspring born during this time—They had an increased risk of developing metabolic syndrome and other chronic diseases. Subsequent research has confirmed this finding as well as noting that health outcomes for many diseases are different, and often worse, for women. These findings, combined with the lack of enrollment of women in clinical trials and/or analysis of sex-specific differences are important factors which need to be addressed. In fact, Women’s health research and sex differences have historically been overlooked or lumped together and assumed equivalent to those of men. Hence, a focus on women’s health and disease prevention is critical to improve the lives of women in the 21st Century. In this review, we point out the critical differences biologically and socially that present both challenges and opportunities for development of novel platforms for precision health. The technologic and scientific advances specific to women’s precision health have the potential to improve the health and wellbeing for all females across the world.