Goeckenjan Maren, Schiwek Esther, Wimberger Pauline
TU Dresden, Department for Gynecology and Obstetrics, Dresden, Germany.
Geburtshilfe Frauenheilkd. 2020 Jul;80(7):702-712. doi: 10.1055/a-1191-7888. Epub 2020 Jul 14.
Ovulatory dysfunction is a major cause of female infertility. We evaluated the use of continuous body temperature monitoring with a vaginal biosensor to improve standard diagnostic procedures for determining ovulatory dysfunction. This prospective interventional study was performed in a reproductive medicine department of a university hospital. The menstrual cycles of 51 women with infertility were monitored and analysed using three different strategies: sonographic and hormonal assessment (standard approach), continuous core body temperature measurement and analysis using the algorithm of OvulaRing, and lowest daily body temperature measurement monitored with a vaginal biosensor and analysed based on the body temperature curves used in natural family planning. Statistically significant differences were found in the temperature curves of women with luteal phase deficiency and polycystic ovary syndrome compared to women with normal menstrual cycles. The analysis of individual cyclofertilograms can be used to detect cycle phases and estimate the date of ovulation. Continuous body temperature monitoring with a vaginal biosensor can improve the standard diagnostic procedures used to determine ovulatory dysfunction, especially if dysfunction is due to luteal phase deficiency and polycystic ovary syndrome. Analysis of the lowest daily body temperature combined with the basal body temperature measurements used in fertility awareness methods may be equieffective to continuous body temperature measurements with OvulaRing. The results of this study show that a revised diagnostic approach using fewer hormonal assessments combined with continuous body temperature monitoring can reduce the number of appointments in an infertility clinic as well as the costs.
排卵功能障碍是女性不孕的主要原因。我们评估了使用阴道生物传感器进行连续体温监测,以改进确定排卵功能障碍的标准诊断程序。这项前瞻性干预研究在一家大学医院的生殖医学科进行。对51名不孕女性的月经周期采用三种不同策略进行监测和分析:超声和激素评估(标准方法)、使用OvulaRing算法进行连续核心体温测量和分析、以及使用阴道生物传感器监测最低每日体温并根据自然计划生育中使用的体温曲线进行分析。与月经周期正常的女性相比,黄体期缺陷和多囊卵巢综合征女性的体温曲线存在统计学上的显著差异。对个体月经周期体温图的分析可用于检测周期阶段并估计排卵日期。使用阴道生物传感器进行连续体温监测可以改进用于确定排卵功能障碍的标准诊断程序,特别是当功能障碍是由于黄体期缺陷和多囊卵巢综合征时。将最低每日体温分析与生育力意识方法中使用的基础体温测量相结合,可能与使用OvulaRing进行连续体温测量等效。本研究结果表明,采用较少激素评估并结合连续体温监测的修订诊断方法可以减少不孕门诊的预约次数和成本。