Coronary Artery Disease
Conditions
Keywords
artificial intelligence, facial characteristics
Brief summary
The purposes of this study are 1) to explore the association between facial characteristics and the increased risk of coronary artery diseases; 2) to evaluate the diagnostic efficacy of appearance factors for coronary artery diseases.
Detailed description
Several age-related appearance factors were described associated with increased risk of coronary artery diseases (CAD). However, several limitations made these facial risk factors hard to be utilized in clinical practice, including 1) low prevalence in CAD patients, 2) lack of specific definition, 3) poor reproducibility in artificial recognition. Thus, the investigators designed a multi-center, cross-sectional study to explore the association between facial characteristics and CAD and evaluate the diagnostic efficacy of appearance factors for CAD. The investigators will recruit patients undergoing coronary angiography or coronary computer tomography angiography. Patients' baseline information and facial images will be collected. First, the investigators will explore the facial factors associated with CAD by using artificial intelligence technology to compare facial photographs between patients with CAD and without CAD. Secondary, the investigators will evaluate the dose-response relationship between facial characteristics and CAD. Third, the investigators will establish a CAD risk model based on facial factors, and evaluate the diagnostic effect of the model.
Interventions
OTHERNo intervention
No intervention
Sponsors
China National Center for Cardiovascular Diseases
Study design
Observational model
CASE_CONTROL
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* Undergoing coronary angiography or coronary computer tomography angiography * Written informed consent
Exclusion criteria
* Prior percutaneous coronary intervention (PCI) * Prior coronary artery bypass graft (CABG) * Screening coronary artery disease before treating other heart diseases * Without blood biochemistry outcome * With artificially facial alteration (i.e. cosmetic surgery, facial trauma or make-up) * Other situations which make patients fail to be photographed
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Sensitivity of diagnostic model | at the end of enrollment (6 months) | The sensitivity of coronary artery diagnostic model assessed in model test group |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Specificity of diagnostic model | at the end of enrollment (6 months) | The specificity of coronary artery diagnostic model assessed in model test group |
| Positive predictive value (PPV) | at the end of enrollment (6 months) | PPV of diagnostic model assessed in model test group |
| Negative predictive value (NPV) | at the end of enrollment (6 months) | NPV of diagnostic model assessed in model test group |
| Diagnostic accuracy rate | at the end of enrollment (6 months) | Diagnostic accuracy rate of diagnostic model assessed in model test group |
Countries
China
Outcome results
None listed