Machine learning-based cardiovascular risk assessment for Chinese individuals
Harnessing Evidence And Real-world Data To Improve Cardiovascular Health and Services (HEARTWISE) - The Personalised - CARdiovascular DIsease Risk Assessment for Chinese (P-CARDIAC) Real World Evidence Study - Population-based Study
This study is testing a new machine learning tool to see if it can better predict heart risks for people in Hong Kong who have a history of heart problems.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 3800 (estimated) |
| Ages | 18 Years to 80 Years |
| Sex | All |
| Sponsor | The University of Hong Kong Academic / other |
| Locations | 1 site (Hong Kong) |
| Trial ID | NCT06262828 on ClinicalTrials.gov |
What this trial studies
This observational study aims to evaluate the accuracy of a machine learning-based risk prediction model, P-CARDIAC, designed specifically for a predominantly Chinese population in Hong Kong. It involves a prospective cohort study to assess the correlation between reported cardiac symptoms and the P-CARDIAC risk score, as well as a Delphi technique to establish risk thresholds based on current clinical guidelines. The study will take place in various outpatient clinics, focusing on individuals with a history of cardiovascular disease. The goal is to improve risk assessment and management for patients at high risk of recurrent cardiovascular events.
Who should consider this trial
Good fit: Ideal candidates are individuals aged 18 to 80 who have experienced prior cardiovascular events and can communicate in English or Traditional Chinese.
Not a fit: Patients with a history of dementia, psychiatric diseases, or physical impairments may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could enhance the accuracy of cardiovascular risk assessments, leading to better prevention and management strategies for patients.
How similar studies have performed: Other studies have shown success with machine learning approaches in risk prediction, but this specific model for the Chinese population is novel.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Individuals aged 18 - 80 years old who visit the medical or cardiology SOPC clinics at the Queen Mary Hospital (QMH), Pok Oi Hospital (POH), Kwong Wah Hospital (KWH), Princess Margaret Hospital (PMH), Queen Elizabeth Hospital (QEH), Tuen Mun Hospital (TMH) and experienced prior CVD event (such as peripheral artery diseases, coronary heart diseases, myocardial infarction, stroke, revascularization) before the scheduled SOPC clinic visit date are eligible to participate in this study. Participants will be also able to comprehend English or Traditional Chinese as well. Exclusion Criteria: * People with history of dementia, psychiatric diseases or physical impairment.
Where this trial is running
Hong Kong
- School of Nursing, The University of Hong Kong — Hong Kong, Hong Kong (Recruiting)
Study contacts
- Principal investigator: Sze Ling Celine Chui, PhD — School of Nursing, The University of Hong Kong
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.