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Carotid Intima-media Thickness (IMT) and Large-vessel Atherosclerosis by Multidetector Computed Tomography (MDCT)

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ClinicalTrials.gov Identifier: NCT00949169
Recruitment Status : Completed
First Posted : July 30, 2009
Last Update Posted : July 30, 2009
Sponsor:
Information provided by:
Eulji University Hospital

Brief Summary:
The aim of this study was to investigate whether carotid IMT can predict the presence of more advanced atherosclerosis such as carotid stenosis, coronary or intracranial artery disease by MDCT and whether MDCT could be useful next step for more aggressive treatment modality in Korean type 2 diabetic patients.

Condition or disease
Type 2 Diabetes

Detailed Description:
We evaluated mean/maximal carotid IMT in seventy-one type 2 diabetic subjects, and defined increased carotid IMT as maximal IMT ≥ 1.0 mm. Multidetector CT (MDCT) and pulse wave velocity (PWV) were taken to evaluate carotid artery stenosis (CS), coronary artery disease (CAD), intracranial arterial lesion (ICA), and peripheral artery disease (PAD). We compared prevalence of large artery stenosis according to carotid IMT group and evaluated whether maximal IMT ≥ 1.0 mm could predict for significant CAD by MDCT. We performed invasive coronary angiography in some patients (N=14) and analyzed association for degrees of CAD between two angiographic methods.

Study Type : Observational
Actual Enrollment : 71 participants
Observational Model: Case-Only
Time Perspective: Cross-Sectional
Official Title: Association of Carotid IMT and Large-vessel Atherosclerosis by MDCT in Korean Type 2 Diabetic Patients
Study Start Date : April 2006
Study Completion Date : July 2007

Resource links provided by the National Library of Medicine

MedlinePlus related topics: Atherosclerosis
U.S. FDA Resources

Group/Cohort
Carrotid IMT group according to maximal IMT
We defined increased IMT group as whom had maximal IMT ≥ 1.0 mm.



Primary Outcome Measures :
  1. We compared prevalence of large artery stenosis according to carotid IMT group and evaluated whether maximal IMT ≥ 1.0 mm could predict for significant CAD by MDCT. [ Time Frame: 17 months ]

Secondary Outcome Measures :
  1. We performed invasive coronary angiography in some patients (N=14) and analyzed association for degrees of CAD between two angiographic methods. [ Time Frame: 17 months ]


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Ages Eligible for Study:   40 Years to 80 Years   (Adult, Senior)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
Sampling Method:   Non-Probability Sample
Study Population
type 2 diabetic patients who had multiple cardiovascular risk factors
Criteria

Inclusion Criteria:

  • Type 2 diabetic patients who had multiple cardiovascular risk factors were recruited.
  • Patients who had atypical chest pain, EKG abnormality (ischemic ST-T changes or abnormal Q-wave), or history of previous cardiovascular disease were also included.

Exclusion Criteria:

  • Acute coronary SD, serum Cr>1.4 mg/dL, history of allergy to iodinated contrast dye were excluded.

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT00949169


Locations
Korea, Republic of
Eulji University Hospital
Seoul, Korea, Republic of, 139-711
Sponsors and Collaborators
Eulji University Hospital
Investigators
Principal Investigator: Kyung Wan Min, MD., PhD. Department of Internal Medicine, Eulji University Hospital

Responsible Party: Department of Internal Medicine, Eulji University Hospital
ClinicalTrials.gov Identifier: NCT00949169     History of Changes
Other Study ID Numbers: Eulji07-34
First Posted: July 30, 2009    Key Record Dates
Last Update Posted: July 30, 2009
Last Verified: July 2009

Keywords provided by Eulji University Hospital:
Atherosclerosis
Carotid IMT
Multidetector CT
Type 2 diabetes

Additional relevant MeSH terms:
Diabetes Mellitus, Type 2
Atherosclerosis
Diabetes Mellitus
Glucose Metabolism Disorders
Metabolic Diseases
Endocrine System Diseases
Arteriosclerosis
Arterial Occlusive Diseases
Vascular Diseases
Cardiovascular Diseases