Cluster Analysis of the Risk of Metabolic Syndrome in Women for Reproductive Age

Metabolic Cardiovascular Syndrome Clinical Trial

Official title:

Cluster Analysis of the Risk of Metabolic Syndrome in Women for Reproductive Age.

Clinical Trial Details — Status: Unknown status

Administrative data

• NCT number: NCT01826357
• Other study ID #: Hsu2013-TMU-JIRB 201302002
• Status: Unknown status
• Phase: N/A
• First received: April 3, 2013
• Last updated: November 5, 2013
• Start date: March 2013
• Est. completion date: February 2014

Study information

• Verified date: November 2013
• Source: Taipei Medical University WanFang Hospital
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

The metabolic syndrome (MetS) is a cluster of clinical indices that signals increased risk for cardiovascular disease and Type 2 diabetes. Women with polycystic ovary syndrome (PCOS) were associated with MetS and insulin resistance. Cluster analysis was a useful tool for identifying groups of women sharing similar metabolic risk factor patterns. Oligomenorrhea, hyperandrogenism and polycystic ovary morphology were the three major components of PCOS. Obesity is a main risk factor in metabolic syndrome. the investigators are interesting to evaluate the relationship between risk of metabolic syndrome and their clinical and/or biochemical characteristics in women with reproductive age.

Design: Retrospective study; medical records reviewed. Participants and setting: The investigators retrospectively reviewed the medical records of female patients who visited our Reproductive Endocrinology Clinic from Jan. 1, 2009 to Jun. 31, 2012.

Description:

Definitions of the metabolic syndrome based on arbitrary cutoff points for several quantitative variables, where each variable is related linearly to cardiovascular risk. Even consensual definitions differ between international authorities and continue to change. Moreover, such cutoff s should be gender and ethic difference. Cluster analysis is a statistical method base on algorithms, which seek to minimize within-group variation and maximize between-group variation for the clustering variables. This technique is suitable for defining groups, reflecting the natural structure of data without relying on inappropriate arbitrary cutoffs. We conduct this retrospective study to review the medical records of female patients who visited our Reproductive Endocrinology Clinic from Jan. 1, 2009 to Dec. 31, 2012. Cluster analysis was performed in our studied cases to evaluate the correlation between clinical/biochemical characteristic and risk of metabolic risk in women with reproductive age.

Recruitment information / eligibility

• Status: Unknown status
• Enrollment: 700
• Est. completion date: February 2014
• Est. primary completion date: February 2014
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: Female
• Age group: 13 Years to 48 Years

Eligibility

Inclusion Criteria:

Women had been fulfilled with whole anthropometric measurements, clinic and biochemical survey about cardiovascular study.

Exclusion Criteria:

1. women who had been diagnosed with malignant tumor, Asherman's syndrome, Mullerian agenesis, and chromosomal anomalies;

2. women who had had menarche less than 1 years before evaluation or who were older than 49;

3. women who received hormones or drugs for major medical diseases within three months of blood sampling.

Related Conditions & MeSH terms

• Metabolic Cardiovascular Syndrome
• Metabolic Syndrome X
• Syndrome

Locations

Country	Name	City	State
Taiwan	WanFang Medical Center at Taipei Medical University	Taipei City

Sponsors (1)

Lead Sponsor	Collaborator
Taipei Medical University WanFang Hospital

Country where clinical trial is conducted

Taiwan, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	metabolic syndrome	We conduct this retrospective study by using cluster analysis, to investigate the relationship between metabolic complications and biochemical/clinical characteristics of endocrinologic dysfunction in women with reproductive age.	Retrospectively reviewed the patients who visited Reproductive Endocrinology Clinic from Jan. 1, 2009 to Jun. 31, 2012.