Perceive and Calculated CV Risk

Recruiting

• Conditions: Patient-Perceived Versus

• Registration Number: NCT05693857
• Lead Sponsor: Chinese University of Hong Kong

Brief Summary

Cardiovascular prevention guidelines use estimated 10-year atherosclerotic cardiovascular disease (ASCVD) risk to guide treatment decisions and engage patients in shared decision-making. Research has focused on refining the accuracy of these CV risk calculators for different populations, relatively little has been done to understand how patients perceive their own ASCVD risk. Accurate perception of a patient's risk by both the patient and the doctors is important because this is an important determinant of health-related behaviour. Patients often show optimistic bias when considering their own CV risk and consistently underestimate it.

We aim to determine patient perceived versus actual risk of ASCVD in a Chinese population. We aim to better understand the degree to which patients underestimate or overestimate their ASCVD risk and whether patients are better or worse at estimating their ASCVD risk relative to their peers of the same age and sex. Finally, we aim to evaluate patients willingness to follow guideline recommended CV prevention and specifically lipid-lowering therapy.

Detailed Description

Cardiovascular prevention guidelines use estimated 10-year atherosclerotic cardiovascular disease (ASCVD) risk to guide treatment decisions and engage patients in shared decision-making. Research has focused on refining the accuracy of these CV risk calculators for different populations, relatively little has been done to understand how patients perceive their own ASCVD risk. Accurate perception of a patient's risk by both the patient and the doctors is important because this is an important determinant of health-related behaviour. Patients often show optimistic bias when considering their own CV risk and consistently underestimate it.

We aim to determine patient perceived versus actual risk of ASCVD in a Chinese population. We aim to better understand the degree to which patients underestimate or overestimate their ASCVD risk and whether patients are better or worse at estimating their ASCVD risk relative to their peers of the same age and sex. Finally, we aim to evaluate patients willingness to follow guideline recommended CV prevention and specifically lipid-lowering therapy.

Study Timeline

• Study First Submitted: 2023-01-12
• Study First Submitted QC: 2023-01-12
• Study First Posted: 2023-01-23
• Study Start: 2023-06-11
• Status Verified: 2024-02
• Last Update Submitted: 2024-02-15
• Last Update Posted: 2024-02-16
• Primary Completion: 2028-02-11
• Study Completion: 2028-08-11

Recruitment & Eligibility

• Status: RECRUITING
• Sex: All
• Target Recruitment: 1500

Inclusion Criteria

1. Aged 40 years and above
2. Consent to complete questionnaire
3. Lipid profile within 12 months

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Exclusion Criteria

1. Known ASCVD defined as history of coronary heart disease (i.e. obstructive coronary disease, prior myocardial infarction, or prior coronary revascularization); cerebrovascular disease (i.e. stroke or transient ischemic attack); and peripheral arterial disease (i.e. obstructive peripheral disease, prior vascular amputation or prior revascularization)
2. Other chronic illness with life-expectancy <12 months

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Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Evaluate correlation between patients' own estimates of their 10-year risk of heart disease or stroke with actual pooled-cohort-equation calculated risk estimates (using a validated CV risk calculation app).	12-months

Secondary Outcome Measures

Name	Time	Method
Evaluate patients' own estimates of 10-year CV risk relative to their peers using age- and sex-specific population risk percentiles.	12-months
Evaluate patients' willingness to follow recommendations for CV prevention based on their calculated 10-year CV risk profile (e.g. dietary, exercise, smoking and CV risk factor control)	12-months
Evaluate correlation between perceived and calculated 10-year CV risk in sub-groups based on age, sex, education level, known CV risks (e.g. smoking, diabetes, hyperlipidemia and hypertension	12-months
Evaluate whether perceived or actual CVD risk is associated with current statin use or willingness to take statin.	12-months
Reasons for unwillingness to follow recommendations for CV preventions	12-months
Source of CV health information and advice	12-months

Trial Locations

Locations (1)

The Chinese University of Hong Kong; 🇭🇰 Shatin, Hong Kong