Deep Learning of Retinal Photographs and Atherosclerotic Cardiovascular Disease
Study Details
Study Description
Brief Summary
The research team has developed a deep learning algorithm that predicts anthropometric factors from fundus photographs and an algorithm that predicts cardiovascular disease risk. Fundus photographs are taken for various cardiovascular diseases (myocardial infarction, heart failure, hypertension with target organ damage, high-risk dyslipidemia, diabetic patients, and low-risk hypertension patients), and a deep learning algorithm for predicting developed anthropometric factors will be validated. Fundus photographs will also be taken twice in the first year, and additional fundus photographs will be taken two years later. Major cardiovascular events will be followed up for 5 years to verify the deep learning algorithm predicting cardiovascular disease risk prospectively.
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
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Study Design
Outcome Measures
Primary Outcome Measures
- Major adverse cardiovascular disease [4 years]
Composite of myocardial infarction, stroke, coronary revascularization including percutaneous coronary intervention and coronary bypass graft, and hospitalization for heart failure
Eligibility Criteria
Criteria
Inclusion Criteria:
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Myocardial infarction (Patients diagnosed with myocardial infarction within 5 years and confirmed significant coronary artery stenosis by cardiovascular angiography)
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Heart failure with reduced EF (<40% of LVEF on echocardiography or magnetic resonance imaging)
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Heart failure with preserved EF (≥40% of LVEF on echocardiography and NT-proBNP ≥200 pg/mL and LAVI ≥ 34 ml/m2 or LVMI ≥115 g/m2 (men) or LVMI ≥95 g/m2 (women))
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High risk subclinical atherosclerosis (no symptom and ≥50% stenosis of coronary artery on coronary angio CT or asymptomatic PAOD or cerebral aneurysm or ≥50% stenosis of cerebral artery or ABI <0.9 or ≥2mm of atherosclerotic plaque or hypoechogenic plaque on carotid ultrasound)
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Hypertension with target organ damage (proteinuria [urine albumin/creatinine ratio ≥ 30 mg/g or protein/creatinine ratio ≥ 150 mg/g or 24 hour urine albumin ≥30mg/day or 24 hour urine protein ≥ 150mg/day] or LV hypertrophy [on EKG or echocardiography] or cfPWV > 10 m/sec or baPWV > 1800 cm/sec or eGFR < 60 ml/min/1.72 m2 or atherosclerotic cardiovascular disease or white matter hyperintensity on brain MRI)
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High risk dyslipidemia (LDL-cholesterol >190 mg/dL or > 160 mg/dL inspire of use of moderate or high intensity statin)
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Diabetes (Type 2 diabetes with more than 5 years of diagnosis or type 1 diabetes with more than 10 years of diagnosis)
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Low risk (Hypertension that does not meet the above criteria and is controlled by 3 drugs or less 2) Dyslipidemia that does not meet the above criteria and is controlled below the target LDL)
Exclusion Criteria:
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Serious eye diseases that make it impossible to take adequate quality fundus photography
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If the subject cannot read and sign the consent form in person
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | Yonsei University College of Medicine | Seoul | Korea, Republic of | 03722 |
Sponsors and Collaborators
- Yonsei University
Investigators
- Principal Investigator: Sungha Park, Severance Hospital
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- 4-2020-0951