Comprehensive Analyses of Multidetector-row Cardiac Computed Tomography Data in Koreans

Comprehensive Analyses of Multidetector-row Cardiac Computed Tomography Data of Over 15,000 Individuals in Korea

Sponsors

Lead Sponsor: Seoul National University Bundang Hospital

Collaborator: The Korean Society of Lipidology and Atherosclerosis

Source Seoul National University Bundang Hospital
Brief Summary

64 channel multidetector-row Computed Tomography (CT) has been introduced for use in the diagnosis of coronary heart disease. The investigators aimed to characterize coronary artery disease in type 2 diabetes mellitus and metabolic syndrome, and in particular plaque natures depending on different status of metabolic diseases. The investigators also aimed to analyze the risk factors associated with number and severity of stenosis as well as plaque characteristics using logistic regression models.

Overall Status Completed
Start Date January 2006
Completion Date June 2014
Primary Completion Date June 2014
Study Type Observational
Primary Outcome
Measure Time Frame
Cardiovascular event five years
Enrollment 15000
Condition
Eligibility

Sampling Method: Non-Probability Sample

Criteria:

Inclusion Criteria:

- Patients aged 18 years or older

Exclusion Criteria:

- pregnant women

- patients with chronic kidney disease (Cr>2.0)

Gender: All

Minimum Age: 18 Years

Maximum Age: 80 Years

Healthy Volunteers: No

Location
Facility: Seoul National University Bundang Hospital
Location Countries

Korea, Republic of

Verification Date

July 2014

Responsible Party

Type: Principal Investigator

Investigator Affiliation: Seoul National University Bundang Hospital

Investigator Full Name: Soo Lim

Investigator Title: Professor

Keywords
Has Expanded Access No
Condition Browse
Arm Group

Label: NGT/IFG/DM, MeS/no-MeS

Description: NGT: normal glucose tolerance IFG: impaired glucose tolerance DM : diabetes mellitus MeS: metabolic syndrome no-MeS: no metabolic syndrome

Study Design Info

Observational Model: Cohort

Time Perspective: Prospective

Source: ClinicalTrials.gov