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临床试验/NCT05936840
NCT05936840招募中不适用

Quantitative Hormonal Biomarkers of Menstrual Health in Normal and Abnormal Cycles

Quanovate Tech Inc.1 个研究点 分布在 1 个国家目标入组 150 人开始时间: 2024年5月1日最近更新:
适应症

试验速览

阶段
不适用
状态
招募中
入组人数
150
试验地点
1
主要终点
Follicle-stimulating hormone (FSH) and estrogen (E3G) changes will predict the onset of the fertile window at least 5 days before ovulation in participants with confirmed ovulation

研究概览

简要总结

The Quantum Menstrual Health Monitoring Study will measure four key reproductive hormones in the urine to characterize patterns that predict and confirm ovulation, referenced to serum hormones and the gold-standard of the ultrasound day of ovulation in participants with regular cycles. These normal cycles will provide a reference for comparison to irregular cycles in polycystic ovarian syndrome (PCOS) and athletes. Clinical signs in the menstrual cycle (e.g. menstrual bleeding, temperature) as well as vital sign and sleep patterns will also be referenced to hormonal changes.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
18 Years 至 55 Years(Adult)
性别
Female
接受健康志愿者

入选标准

  • Regularly menstruating, PCOS or athlete participants aged 18-45
  • Negative pregnancy test at the beginning and at the end of each cycle
  • Cycle lengths 24-34 days
  • Knowledge of previous 3 cycle lengths
  • Able to travel to Calgary Clinic for regular ultrasounds during the study period

排除标准

  • For regular cycles
  • Anovulation in the last 3 cycles
  • Currently or in the previous 3 months, on medications that are known to impair or stimulate ovulation (e.g. oral contraceptives, ovulation stimulants, etc)
  • Known conditions that impair ovulation or fertility: polycystic ovarian syndrome, endometriosis, pelvic inflammatory disease in the last year, pituitary adenomas, exclusively breastfeeding
  • Previous surgeries impacting the menstrual cycle: hysterectomy, bilateral oophorectomy
  • Currently pregnant
  • For PCOS and athlete groups:
  • Currently or in the previous 3 months, on medications that are known to impair or stimulate ovulation (e.g. oral contraceptives, ovulation stimulants, etc)
  • Known conditions that impair ovulation or fertility: pelvic inflammatory disease in the last year, pituitary adenomas, exclusive breastfeeding
  • Previous surgeries impacting the menstrual cycle: hysterectomy, bilateral oophorectomy
  • Currently pregnant

结局指标

主要结局

Follicle-stimulating hormone (FSH) and estrogen (E3G) changes will predict the onset of the fertile window at least 5 days before ovulation in participants with confirmed ovulation

时间窗: 1 year

FSH and E3G changes on the Mira monitor will predict the beginning of the fertile window

The rise in urine progesterone will confirm ovulation in all participants who have ovulated based on ultrasound

时间窗: 1 year

The progesterone (PDG) rise on the Mira monitor will accurately confirm ovulation within 3-5 days of the ultrasound-day of ovulation

The rise and fall of urine luteinizing hormone will predict of ovulation in all participants with confirmed ovulation

时间窗: 1 year

The LH surge on the Mira monitor will accurately predict ovulation within 1-2 days referenced to the ultrasound-day of ovulation

次要结局

  • Menstrual bleeding scores will be correlated with changes in progesterone(1 year)
  • Temperature rise will confirm ovulation in participants who have ovulated on ultrasound(1 year)

研究者

申办方类型
Industry
责任方
Principal Investigator
主要研究者

Paul Yong

Associate Professor

University of British Columbia

研究点 (1)

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