Novel Subtypes of Polycystic Ovary Syndrome
An Evidence-Based Novel Subtypes of Polycystic Ovary Syndrome and Their Association With Outcomes: a Large Cohort Study
1 other identifier
observational
50,000
6 countries
11
Brief Summary
To classify subtypes of Polycystic Ovary Syndrome (PCOS) using machine-learning algorithms, and compare the reproductive and metabolic characteristics and IVF outcomes across these identified subtypes.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2021
Longer than P75 for all trials
11 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2021
CompletedFirst Submitted
Initial submission to the registry
October 26, 2023
CompletedFirst Posted
Study publicly available on registry
November 9, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 30, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 30, 2025
CompletedNovember 30, 2023
November 1, 2023
5 years
October 26, 2023
November 28, 2023
Conditions
Outcome Measures
Primary Outcomes (11)
Persistence of PCOS Diagnosis
Determining if patients still meet the Rotterdam criteria for a PCOS diagnosis at the follow-up. The hyperandrogenic, ovulatory, and polycystic ovarian conditions at the follow-up time will be assessed.
At the 6.5-year follow-up visit.
Changes in PCOS Subtype
Tracking if patients have transitioned between different PCOS subtypes at the follow-up.
At the 6.5-year follow-up visit.
Body Mass Index
Patients' weight (in kilograms) and height (in meters) will be collected and combined to report BMI in kg/m\^2
At the 6.5-year follow-up visit.
Non-Alcoholic Fatty Liver Disease (NAFLD)
NAFLD will be assessed using abdominal ultrasound.
At the 6.5-year follow-up visit.
Hypertension
Blood pressure will be assessed, and we will determine if a patient has hypertension, defined as systolic blood pressure (SBP) ≥ 140 mmHg and/or diastolic blood pressure (DBP) ≥ 90 mmHg.
At the 6.5-year follow-up visit.
Type 2 Diabetes Mellitus (T2DM)
Fasting glucose will be assessed, and we will determine if a patient has T2DM, defined as fasting glucose ≥ 7.0 mmol/l.
At the 6.5-year follow-up visit.
Dyslipidemia
Defined as the presence of any of the following abnormalities: * Total cholesterol ≥ 5.2 mmol/l * Triglycerides (TG) ≥ 1.7 mmol/l * High-density lipoprotein (HDL) \< 1.0 mmol/l * Low-density lipoprotein (LDL) ≥ 3.35 mmol/l
At the 6.5-year follow-up visit.
Total live birth rate
Live birth is defined as the delivery of any neonate with signs of life at ≥ 28 weeks of gestation.
From the diagnosis of PCOS (at the time of enrollment) until a follow-up period of 6.5 years.
Clinical pregnancy rate
Clinical pregnancy is defined as the ultrasound confirmation of at least one intrauterine gestational sac.
From the diagnosis of PCOS (at the time of enrollment) until a follow-up period of 6.5 years.
Pregnancy loss rate
Pregnancy loss is defined as pregnancies that eventuate in a spontaneous abortion or therapeutic abortion that occurred throughout pregnancy.
From the diagnosis of PCOS (at the time of enrollment) until a follow-up period of 6.5 years.
Maternal and neonatal complications
Any maternal and neonatal complications, including gestational diabetes, preeclampsia, etc., will be collected.
From the diagnosis of PCOS (at the time of enrollment) until a follow-up period of 6.5 years.
Study Arms (4)
HA-PCOS
Patients were classified into each PCOS subtype based on our machine-learning classification model. The feature of the HA-PCOS group is hyperandrogenism.
OB-PCOS
Patients were classified into each PCOS subtype based on our machine-learning classification model. The feature of the OB-PCOS group is overweight/obesity.
SHBG-PCOS
Patients were classified into each PCOS subtype based on our machine-learning classification model. The feature of the SHBG-PCOS group is the high level of serum SHBG.
LH-PCOS
Patients were classified into each PCOS subtype based on our machine-learning classification model. The feature of the LH-PCOS group is the high level of LH and AMH.
Interventions
Participants diagnosed with PCOS were not subjected to any specific intervention post-diagnosis. Instead, they were followed up after 6.5 years to assess various outcomes related to PCOS and associated conditions.
Eligibility Criteria
* Discovery cohort: Patients diagnosed with PCOS who sought care at the Center for Reproductive Medicine, Shandong University between December 2013 and June 2020. * The validation cohorts of this study consist of four populations. 1. China Validation Cohort: Consists of patients from various regions in China, excluding Shandong. 2. America Validation Cohort: Participants from the Pregnancy in Polycystic Ovary Syndrome II (PPCOS II) trial. 3. Singapore Validation Cohort. 4. Europe Validation Cohort: Comprising patients from Turkey.
You may qualify if:
- PCOS patients diagnosed using the Rotterdam criteria, which requires the presence of at least two of the following:
- Menstrual Irregularities: A menstrual cycle length of fewer than 21 days or more than 35 days, and/or fewer than eight cycles per year.
- Hyperandrogenism: Defined either by an elevated total testosterone level (as per local laboratory criteria) or by a modified Ferriman-Gallwey (mFG) score of 5 or higher.
- Polycystic Ovaries on Ultrasound: Presence of 12 or more follicles measuring 2-9 mm in diameter in each ovary and/or an ovarian volume exceeding 10 mL.
You may not qualify if:
- Patients with congenital adrenal hyperplasias, androgen-secreting tumours, or Cushing's syndrome) will be excluded.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (11)
Penn State College of Medicine
Hershey, Pennsylvania, 17033, United States
Hospital de Clinicas de Porto Alegre
Porto Alegre, Brazil
Chengdu Jinjiang Maternity and Child Health Hospital
Chengdu, China
Guangdong Second Provincial General Hospital
Guangzhou, China
Shandong University
Jinan, 250012, China
Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University
Shanghai, China
Tianjin Medical University General Hospital
Tianjin, China
General Hospital of Ningxia Medical University
Yinchuan, China
National University Hospital, National University of Singapore
Singapore, Singapore
Karolinska Institutet
Solna, 17165, Sweden
Hacettepe University School of Medicine Hacettepe
Ankara, Turkey (Türkiye)
Biospecimen
Whole blood and plasma samples will be collected.
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
Zi-jiang Chen
Center for Reproductive Medicine, Shandong University
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Academician
Study Record Dates
First Submitted
October 26, 2023
First Posted
November 9, 2023
Study Start
January 1, 2021
Primary Completion
December 30, 2025
Study Completion
December 30, 2025
Last Updated
November 30, 2023
Record last verified: 2023-11
Data Sharing
- IPD Sharing
- Will not share