HEARTWISE - P-CARDIAC for Chinese: Population-based Study

Summary

Cardiovascular disease (CVD) is one of the prominent diseases that affect many people. One cost-effective solution is to identify people at higher risk of CVD by CVD risk prediction model. China-PAR, TRS-2P, and SMART2 are common risk prediction models for prevention. However, these risk scores were mostly based on the routinely self-check health information and multivariable regression without time-varying consideration. Investigators developed a Machine Learning (ML) based risk prediction model, Personalized CARdiovascular DIsease risk Assessment for Chinese (P-CARDIAC) among a predominantly Chinese population in Hong Kong to estimates the 10 years of secondary recurrent CVD risk for the high-risk individuals. The study objective is to evaluate the accuracy of the P-CARDIAC performance in practice among a large-scale Hong Kong population in medicine specialist outpatient clinic (SOPC) and cardiac clinic. The results will reassure cardiologists that the P-CARDIAC risk score is sensitive to the heart disease symptoms. Investigators anticipate that the results may help to facilitate P-CARDIAC in clinical setting and provide more practical information with the development of P-CARDIAC.

Eligibility

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.

Conditions3

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