Coronary Artery Disease
Conditions
Keywords
Artificial Intelligence
Brief summary
The purpose of this study is to evaluate the effectiveness of a coronary heart disease screening algorithm based on facial photos in community population.
Interventions
OTHERNo intervention
No intervention
Sponsors
China National Center for Cardiovascular Diseases
Study design
Observational model
COHORT
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
30 Years to 80 Years
Healthy volunteers
Yes
Inclusion criteria
* Community population with a pre-test probability greater than 5% for coronary artery disease
Exclusion criteria
* Prior percutaneous coronary intervention (PCI) * Prior coronary artery bypass graft (CABG) * The history of heart failure * 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 the algorithm | at the end of enrollment (6 months) | The sensitivity of the CAD screening algorithm assessed in the group |
| Specificity of the algorithm | at the end of enrollment (6 months) | The specificity of the CAD screening algorithm assessed in the group |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Discriminative capabilities | at the end of enrollment (6 months) | Area under receiver operating curve (AUC) of the algorithm assessed in the group |
| Positive predictive value (PPV) | at the end of enrollment (6 months) | PPV of the CAD screening algorithm assessed in the group |
| Negative predictive value (NPV) | at the end of enrollment (6 months) | NPV of the CAD screening algorithm assessed in the group |
| Diagnostic accuracy rate | at the end of enrollment (6 months) | Diagnostic accuracy rate of the algorithm assessed in the group |
Countries
China
Outcome results
None listed