About this trial
The investigators collected clinical data and serum samples of patients with polycystic ovary syndrome (PCOS) in this study, used statistical software such as SPSS for date analysis, and used experimental techniques such as ELISA and flow cytometry to detect serum samples, aiming to explore the relationship between the body anthropometry, skin conditions, psychosomatic status, diet, sleep, exercise, glucose and lipid metabolism, gonadal hormones, and body fat distribution in patients with polycystic ovary syndrome, and to discovery new biomarkers. Multidisciplinary exploration of the mechanisms of disease occurrence and development, the establishment of a PCOS multicenter, multidisciplinary and multidimensional clinical research database, combined with the established statistical analysis strategy for big data and analysis, to promote the realization of more accurate personalized medicine.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Female aged 18- 45;
Disqualifiers
Female patients younger than 18 years old or older than 45 years old;
Ovulatory disorders caused by premature ovarian failure, pituitary amenorrhea, hypothalamic amenorrhea, and thyroid dysfunction;
Congenital adrenal hyperplasia, reservoir Hin syndrome, hyperprolactinemia, adrenal tumors and other diseases that cause hyperandrogenism;
Abnormal liver or renal function((≥ 3 times of the upper limit of normal range)
Trial population
Polycystic ovary syndrome (PCOS) is a common dis-order in women that is characterized by hyperandro-genism (that is, evidence of excess male hormone or androgen effect; clinically, such as hirsut-ism, and/or biochemically, such as hyperandrogen aemia or excess levels of androgen), ovulatory dysfunction (including menstrual dysfunction) and polycystic ovarian morphology (PCOM; an excessive number of preantral follicles in the ovaries).
Trial design
Other
Cross-sectional
Treatments tested in this trial
This study does not involve any interventions
Other interventionThis study does not involve any interventions
Treatment groups
Trial outcomes
Primary outcomes
Fibrinogen-like-protein 1 (FGL1)
Fibrinogen-like-protein 1 (FGL1), is a novel hepatokine that plays an important role in hepatic steatosis, insulin resistance and obesity. There is no maximum or minimum value for this parameter and the higher scores mean a worse outcome.
Secondary outcomes
body mass index ,BMI
BMI=weight(kg)/height(m)\^2
Waist/hip Ratio,WHR
WHR=Waist Circumference(cm)/Hip Circumference(cm)
Number of menstruation in the last year
physiological parameter,the total number of menstrual periods in the last year
Ferriman-Gallwey score
The minimum value of Ferriman-Gallwey score is 0 and the maximum value is 44. An Ferriman-Gallwey score greater than or equal to 6 is considered to be a clinical manifestation of androgen excess.
Sponsors and contacts
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