- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05693857
Perceive and Calculated CV Risk
Patient-Perceived Versus Actual Risk of Cardiovascular Disease and Willingness to Follow Recommendations for Cardiovascular Prevention
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 Overview
Status
Conditions
Intervention / Treatment
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 Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Daniel Xu
- Phone Number: 35051518
- Email: danielxu@cuhk.edu.hk
Study Locations
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-
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Shatin, Hong Kong, 999077
- Recruiting
- The Chinese University of Hong Kong
-
Contact:
- Daniel Xu
- Phone Number: 1518 35051518
- Email: danielxu@cuhk.edu.hk
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Aged 40 years and above
- Consent to complete questionnaire
- Lipid profile within 12 months
Exclusion Criteria:
- 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)
- Other chronic illness with life-expectancy <12 months
Study Plan
How is the study designed?
Design Details
- Observational Models: Case-Only
- Time Perspectives: Prospective
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
---|---|
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).
Time Frame: 12-months
|
12-months
|
Secondary Outcome Measures
Outcome Measure |
Time Frame |
---|---|
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
Time Frame: 12-months
|
12-months
|
Evaluate patients' own estimates of 10-year CV risk relative to their peers using age- and sex-specific population risk percentiles.
Time Frame: 12-months
|
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)
Time Frame: 12-months
|
12-months
|
Evaluate whether perceived or actual CVD risk is associated with current statin use or willingness to take statin.
Time Frame: 12-months
|
12-months
|
Reasons for unwillingness to follow recommendations for CV preventions
Time Frame: 12-months
|
12-months
|
Source of CV health information and advice
Time Frame: 12-months
|
12-months
|
Collaborators and Investigators
Sponsor
Collaborators
Publications and helpful links
General Publications
- Visseren FLJ, Mach F, Smulders YM, Carballo D, Koskinas KC, Back M, Benetos A, Biffi A, Boavida JM, Capodanno D, Cosyns B, Crawford C, Davos CH, Desormais I, Angelantonio ED, Franco OH, Halvorsen S, Richard Hobbs FD, Hollander M, Jankowska EA, Michal M, Sacco S, Sattar N, Tokgozoglu L, Tonstad S, Tsioufis KP, van Dis I, van Gelder IC, Wanner C, Williams B; ESC Scientific Document Group. 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice: Developed by the Task Force for cardiovascular disease prevention in clinical practice with representatives of the European Society of Cardiology and 12 medical societies With the special contribution of the European Association of Preventive Cardiology (EAPC). Rev Esp Cardiol (Engl Ed). 2022 May;75(5):429. doi: 10.1016/j.rec.2022.04.003. No abstract available. English, Spanish.
- Arnett DK, Blumenthal RS, Albert MA, Buroker AB, Goldberger ZD, Hahn EJ, Himmelfarb CD, Khera A, Lloyd-Jones D, McEvoy JW, Michos ED, Miedema MD, Munoz D, Smith SC Jr, Virani SS, Williams KA Sr, Yeboah J, Ziaeian B. 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation. 2019 Sep 10;140(11):e563-e595. doi: 10.1161/CIR.0000000000000677. Epub 2019 Mar 17. Erratum In: Circulation. 2019 Sep 10;140(11):e647-e648. Circulation. 2020 Jan 28;141(4):e59. Circulation. 2020 Apr 21;141(16):e773.
- Lloyd-Jones DM, Braun LT, Ndumele CE, Smith SC Jr, Sperling LS, Virani SS, Blumenthal RS. Use of Risk Assessment Tools to Guide Decision-Making in the Primary Prevention of Atherosclerotic Cardiovascular Disease: A Special Report From the American Heart Association and American College of Cardiology. J Am Coll Cardiol. 2019 Jun 25;73(24):3153-3167. doi: 10.1016/j.jacc.2018.11.005. Epub 2018 Nov 10. Erratum In: J Am Coll Cardiol. 2019 Jun 25;73(24):3234.
- Webster R, Heeley E. Perceptions of risk: understanding cardiovascular disease. Risk Manag Healthc Policy. 2010;3:49-60. doi: 10.2147/RMHP.S8288. Epub 2010 Sep 6.
- Thakkar J, Heeley EL, Chalmers J, Chow CK. Inaccurate risk perceptions contribute to treatment gaps in secondary prevention of cardiovascular disease. Intern Med J. 2016 Mar;46(3):339-46. doi: 10.1111/imj.12982.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2022.573
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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