Prospective observational longitudinal registry of patients with stable coronary artery disease

Not Applicable

Completed

• Conditions: Coronary Artery Disease; Cardiovascular - Coronary heart disease

• Registration Number: ACTRN12609000883213
• Lead Sponsor: Philippe Gabriel Steg

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Results First Posted: 1900-01-01
• Study Start: 2009-10-09
• Last Update Posted: 13 January 2020

Recruitment & Eligibility

• Status: Completed
• Sex: All
• Target Recruitment: 30000

Inclusion Criteria

Outpatients with stable coronary artery disease proven by history of at least one of the following criteria:
- documented myocardial infarction (>3months ago)
- coronary angiography showing at least one coronary stenosis of more than 50%
- chest pain with myocardial ischaemia proven by stress electrocardiogram, stress echocardiography or myocardial imaging
- coronary artery bypass graft or percutaneous coronary intervention (>3 months ago)

Exclusion Criteria

- Patients hospitalised for cardiovascular disease within last 3 months (including revascularisation)
- Patients with planned revascularisation
- Conditions hampering participation in the 5 year follow up, such as limited cooperation, limited legal capacity, serious non-cardiovascular disease or conditions interfering with life expectancy (cancer, drug abuse etc) or severe cardiovascular disease (advanced heart failure, severe valve disease, history of valve repair/replacement etc)

Study & Design

• Study Type: Observational
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
To characterise contemporary coronary artery disease (CAD) patients in terms of; demographic characteristics, clinical profiles and management and outcomes to identify gaps between treatment and evidence[5 years after recruitment]

Secondary Outcome Measures

Name	Time	Method
To determine the long term prognostic determinants in this population, including resting heart rate (measured using an electrcardiogram), with a view to developing a risk prediction model. A statistic regression model will be used to determine the factors with prognostic importance.[5 years after recruitment]