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

November 5, 2013 updated by: Ming-I Hsu, Taipei Medical University WanFang Hospital

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

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.

Study Overview

Status

Unknown

Conditions

Detailed 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.

Study Type

Observational

Enrollment (Anticipated)

700

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • Taiwan
      • Taipei City, Taiwan, 116
        • Recruiting
        • WanFang Medical Center at Taipei Medical University
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

13 years to 48 years (Child, Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

Female

Sampling Method

Probability Sample

Study Population

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

Description

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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
metabolic syndrome
Time Frame: Retrospectively reviewed the patients who visited Reproductive Endocrinology Clinic from Jan. 1, 2009 to Jun. 31, 2012.
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.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Taipei Medical University WanFang Hospital

Investigators

  • Principal Investigator: Ming I Hsu, MD, WanFang Medical Center at Taipei Medical University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

March 1, 2013

Primary Completion (Anticipated)

February 1, 2014

Study Completion (Anticipated)

February 1, 2014

Study Registration Dates

First Submitted

April 3, 2013

First Submitted That Met QC Criteria

April 5, 2013

First Posted (Estimate)

April 8, 2013

Study Record Updates

Last Update Posted (Estimate)

November 6, 2013

Last Update Submitted That Met QC Criteria

November 5, 2013

Last Verified

November 1, 2013

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • Hsu2013-TMU-JIRB 201302002

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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