Clinical trial NCT03214783: A Case-control Study to Assess the Association Between Facial Characteristics and Coronary Artery Diseases
Official title: A Case-control Study to Assess the Association Between Facial Characteristics and Coronary Artery Diseases
Study type: OBSERVATIONAL
Overall status: COMPLETED
Conditions: Coronary Artery Disease
Keywords: artificial intelligence
facial recognition
facial characteristic
Lead sponsor: China National Center for Cardiovascular Diseases
Sponsor class: OTHER_GOV
First posted: 2017-07-12
Enrollment: 2300
Sex: ALL
Standard ages: CHILD
ADULT
OLDER_ADULT
Accepts healthy volunteers: yes
Observational model: CASE_CONTROL
Time perspective: RETROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: Patients who undergo coronary computer tomography or coronary angiography from both resident patients and outpatient.

Brief summary: The purpose of this study is to explore the facial characteristics associated with the increased risk of coronary artery diseases. The secondary purpose is 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, we designed a case-control study to explore new, common and well-defined facial characteristics associated with CAD and evaluate the diagnostic efficacy of appearence factors in CAD. We will recuit 1150 patients with at least one coronary lesion stenosis ≥50% according to coronary angiography or coronary computer tomography (CAD group) and 1150 patients without coronary lesion stenosis≥ 50% (No CAD group) judged by coronary angiography or coronary computer tomography. We will collect patients' baseline information and facial images. One hand, we will explore the facial factors associated with CAD by comparing the exposure rates of different facial factors in CAD group and No CAD group based on artificial intelligence technology. On the other hand, we will build a CAD risk model based on facial factors, and evaluate the diagnostic effect of the model.

Eligibility criteria: Inclusion Criteria:

* Undergoing coronary computer tomography or coronary angiography
* Written informed consent

Exclusion Criteria:

* Prior percutaneous coronary intervention (PCI)
* Prior coronary artery bypass graft (CABG)
* 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

Primary outcomes:
measure: The association between facial factors and increased risk of coronary artery diseases
timeFrame: at the end of enrollment (6 months)
Secondary outcomes:
Other outcomes:
Locations:
city: Beijing
country: China
facility: Fuwai Hospital Chinese Academay of Medical Science and National Center for Cardiovascular Diseases
state: Beijing
Study officials:
References: