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

Taipei Medical University

Status: Unknown

Conditions: Metabolic Cardiovascular Syndrome

Study type: Observational

Funder types: Other

Identifiers

NCT01826357

Hsu2013-TMU-JIRB 201302002

Details and patient eligibility

About

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.

Full 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.

Enrollment: 700 estimated patients

Sex: Female

Ages: 13 to 48 years old

Volunteers: Accepts Healthy Volunteers

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.