Fertility Awareness Biomarkers

Fertile window and biophysical biomarkers of cervical secretion in subfertile cycles: a look at biotechnology applied to NaProTechnology

Lora J, Martínez OM, Martínez Calvo M, Andrés A, Mejia J, Simoni D, Alcázar J, Jennifer S

Published January 13, 2022 Clinical and Experimental Obstetrics & Gynecology, 49(1)
DOI 10.31083/j.ceog4901017

RRM Academy Synopsis

Cervical mucus stretch detected the fertile window in all 12 cycles

In a case report of one 29-year-old woman with infertility, a Creighton Model chart scale and a software algorithm each detected the fertile window in all 12 cycles. Both methods read the stretchiness of cervical mucus, and the midpoints of their two windows had a correlation of 0.71.

Key Findings

  • Using either the clinical fertile window (CFW) or the software-based fertile window (SFW), the fertile window was correctly detected in 100% of the 12 cycles.
  • The midpoints of the two fertile windows showed a correlation coefficient of 0.71.
  • The software-based fertile window had a normal distribution, with an average length of 5.08 days (SD ± 2.87 days).
  • The clinical fertile window, measured over the 6 days before the peak day (P-6), fell between days 10 and 25 of the menstrual cycle.

Interpretation

The report is a case report of 12 cycles, ranging from 29 to 39 days, from a 29-year-old woman diagnosed with infertility. Her basic evaluation found no detectable female cause, her partner had a documented male factor, and ultrasound documented signs compatible with ovulation. The clinical window was assigned retrospectively from the peak day. The algorithm used the same stretch scale without the peak day. The authors note that further studies should add data points and other characteristics of cervical secretion.

RRM Context

The Creighton Model FertilityCare System, used within NaProTechnology, records cervical mucus each day. The peak day of cervical secretion has been considered a reference point for locating the fertile window. The report applies computational analysis to these observations in a woman with infertility, consistent with the restorative principle of reading the cycle's own signs.

Abstract

Background

The principal objective of this study was to correlate biophysical properties of vaginal discharge present in the cervical mucus with the timing of the fertile window. In particular, we produce measures of the viscoelasticity of the cervical secretion using two methods. The first uses only the elasticity extracted from the Creighton Model Fertility Care System (CrMs) scale, calculated P-6 ovulation estimated day (OED) with respect to the peak day of the CrMs. The second uses a numerical method that takes into account the changes in viscoelasticity, but without reference to the peak day calculated using the CrMs model. Using both methods, twelve records were obtained from a single female subject.

Methods

The methodology used to evaluate the viscoelasticity factor was by measuring the approximate length in centimeters (cm) of the vaginal discharge of cervical discharge. For this, the scale of the stretching graph established by observing the stretching of CrMS was used, taking into account the previous 6 days at peak day P-6. The first method, which we termed CFW (Clinical Fertile Window), uses a measure based on the approximate length (cm) of the maximal stretchiness of the vaginal discharge. The second method we termed SFW (Software-CrMS/strectching) (Software-based Fertile Window).

Results

The fertile window was detected correctly in 100% of the cases using either method, and a correlation value of 0.71 was observed between the two methods.

Conclusions

We conclude that the assessment of viscoelasticity using SFW algorithm allowed in this pilot study to detect the fertile window and to describe the evolution pattern of cervical discharge throughout the fertile window. Our study provides support for the use of computational methods in detecting the fertile window, taking only into account the time evolution of the cervical discharge throughout the menstrual cycle.

Topics

By this author

Related research

Fertility Awareness › Biomarkers › Cervical Mucus · Menstrual Cycle › Cycle Biomarkers › Cervical Mucus · Diagnostics › Cycle Biomarkers › Cervical Mucus Monitoring
Marian Martínez Calvo
M Calvo
DOI 10.31083/j.ceog4901017 10.31083/j.ceog4901017 Lora et al. 2022, Lora 2022