The Clinical Course of Coronary Artery Disease in Coronary Multidetector Computed Tomographic Angiogram

Prognostic Role of Coronary Artery plaquEs in Patients With Suspected Coronary Artery Disease Using Multislice of Computed Tomography (PREDICT)

Status

UNKNOWN

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT01142973

Acronym

PREDICT

Enrollment

5000

Registered

2010-06-14

Start date

2005-09-30

Completion date

2010-12-31

Last updated

2010-09-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Atherosclerosis, Cardiovascular Diseases, Coronary Artery Disease

Brief summary

Study Type: Observational Study Design: Observational Model: Defined Population Observational Model: Natural History Time Perspective: Longitudinal Time Perspective: Prospective

Detailed description

The natural history of individual plaques is unknown and needs to be established. Multidetector computed tomography (MDCT) angiography is a useful noninvasive imaging modality for assessing coronary plaque. Using MDCT, the researchers prospectively investigate the relationship between the presence of coronary plaques and cardiovascular events

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

CROSS_SECTIONAL

Eligibility

Sex/Gender

ALL

Age

18 Years to 85 Years

Healthy volunteers

Inclusion criteria

* Patients with known or suspected coronary artery disease

Exclusion criteria

* Irregular heart beat * Known allergy towards the contrast agent * Renal dysfunction * Impossible breath-hold * Acute coronary syndrome patient

Design outcomes

Primary

Measure	Time frame	Description
Major cardiovascular events	1 years after the MDCT-scan	Cardiovascular death, non-fatal MI, or any stroke

Secondary

Measure	Time frame	Description
all causes of hospitalization	1 years after the MDCT-scan	Requiring hospitalization

Countries

South Korea

Contacts

Primary ContactSung Uk Kwon, M.D.

prof.mdksu@gmail.com82-31-910-7041

Outcome results