Artificial Intelligence to Assess the Association Between Facial Characteristics and Coronary Artery Diseases
1 other identifier
observational
6,864
1 country
9
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jul 2017
Typical duration for all trials
9 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 10, 2017
CompletedFirst Submitted
Initial submission to the registry
November 4, 2018
CompletedFirst Posted
Study publicly available on registry
November 6, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 2, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
August 2, 2019
CompletedAugust 20, 2019
August 1, 2019
2.1 years
November 4, 2018
August 17, 2019
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Sensitivity of diagnostic model
The sensitivity of coronary artery diagnostic model assessed in model test group
at the end of enrollment (6 months)
Secondary Outcomes (5)
Specificity of diagnostic model
at the end of enrollment (6 months)
Specificity of diagnostic model
at the end of enrollment (6 months)
Positive predictive value (PPV)
at the end of enrollment (6 months)
Negative predictive value (NPV)
at the end of enrollment (6 months)
Diagnostic accuracy rate
at the end of enrollment (6 months)
Study Arms (1)
Model establishment and test group
Patients undergoing coronary angiography or coronary computer tomography angiography will be enrolled. Patients data will be used to establish the facial based diagnostic model of coronary artery diseases, and to prospectively validate the diagnostic effectiveness of the model.
Interventions
Eligibility Criteria
Patients who undergo coronary angiography or coronary computer tomography angiography from both resident patients and outpatient.
You may qualify if:
- Undergoing coronary angiography or coronary computer tomography angiography
- Written informed consent
You may not qualify if:
- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (9)
Beijing Anzhen hospital
Beijing, Beijing Municipality, 100032, China
Fuwai hospital
Beijing, Beijing Municipality, 100032, China
Guanganmen Hospital, Chinese Academy of Traditional Chinese Medicine
Beijing, Beijing Municipality, 100032, China
Wuhan union hospital
Wuhan, Hubei, 430000, China
Xuzhou third people's hospital
Xuzhou, Jiangsu, 221000, China
The first affiliated hospital of Dalian medical university
Dalian, Liangning, 116000, China
Shanghai East hospital
Shanghai, Shanghai Municipality, 200000, China
Shanghai Renji hospital
Shanghai, Shanghai Municipality, 200000, China
The fisrt affiliated hospital of Wenzhou medical university
Wenzhou, Zhejiang, 325000, China
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER GOV
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
November 4, 2018
First Posted
November 6, 2018
Study Start
July 10, 2017
Primary Completion
August 2, 2019
Study Completion
August 2, 2019
Last Updated
August 20, 2019
Record last verified: 2019-08
Data Sharing
- IPD Sharing
- Will not share