Use of a Deep Phenotyping Platform to Develop a Novel Retinal Imaging Test for Coronary Artery Disease: A Prospective Cross-Sectional Study
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 308
- 试验地点
- 1
- 主要终点
- Sensitivity and specificity of a pre-specified classification model based on retinal imaging parameters
研究概览
简要总结
This is a prospective cross-sectional, single-center retinal imaging study expecting to enroll approximately 400 male and female subjects ≥ 18 years of age. Subjects having undergone clinically-indicated coronary angiography or coronary computed tomography angiography (CCTA) within one month of consent at the Montreal Heart Institute (MHI) will be screened for inclusion in the study.
详细描述
This is a prospective cross-sectional, single-center retinal imaging study expecting to enroll aproximately 400 (280 CAD and 120 control) male and female subjects ≥ 18 years of age. Subjects having undergone clinically-indicated invasive coronary angiography or coronary computed tomography angiography (CCTA) within one month of signed consent will be screened for inclusion in the study.
Subjects will be recruited at the Montreal Heart Institute (MHI). During the screening visit, the investigator will review inclusion/exclusion criteria and the following information will be collected: demographic data including age and sex, relevant medical history including risk factors (hypertension, diabetes, dyslipidemia, smoking and obesity), history of CAD, concomitant cardiovascular medications and laboratory tests (lipid profile, fasting glucose) Subjects who provide written informed consent will undergo cognitive evaluation and an ophthalmic examination to identify any ocular exclusion criteria. All eligible subjects will then undergo hyperspectral retinal imaging using a Metabolic Hyperspectral Retinal Camera (MHRC)
Safety will be assessed through reporting of serious adverse events (SAEs) related to retinal imaging procedures.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Ability and willingness to give written informed consent
- •Age 18 years or older at the time of informed consent
- •Stable (non-emergent) typical or atypical symptoms suspicious for CAD (e.g., chest pain, chest tightness, chest burning, shoulder pain, palpitations, jaw pain, or non-chest pain symptoms such as dyspnea or worsening effort tolerance.
- •Patients having undergone clinically-indicated invasive coronary angiography or coronary computed tomography angiography within one month before consent signature
排除标准
- •At Screening Visit 1:
- •Asymptomatic subjects
- •Previous coronary revascularization (e.g., coronary artery bypass graft surgery, stenting)
- •Subjects being evaluated for other cardiac diseases (e.g., valvular disease, cardiomyopathy)
- •Pregnant or breastfeeding women
- •At Study Visit 2 or Ocular Exclusion Criteria:
- •Medium or high opacity of the lens
- •Bleeding in vitreous
- •Pupillary dilation inadequate or contraindicated
- •Deficient visual fixation
- •Refractive error outside of the range -15 to +15
- •Inability to obtain satisfactory images with the MHRC
结局指标
主要结局
Sensitivity and specificity of a pre-specified classification model based on retinal imaging parameters
时间窗: 1.5 year
Sensitivity and specificity of a pre-specified classification model based on retinal imaging parameters to discriminate between control subjects and subjects with CAD (defined as stenosis in at least one epicardial vessel of 50% or greater) as assessed by coronary angiography.
次要结局
- Correlation between retinal imaging parameters and the number of vessels with a stenosis of 50% or greater as assessed by coronary angiography.(1.5 year)
- Correlation between retinal imaging parameters and the maximal severity of coronary artery stenosis as assessed by coronary angiography.(1.5 year)
- Correlation between retinal imaging parameters and cognitive scores on the Montreal Cognitive Assessment (MoCA) and executive tasks(1.5 year)
- Sensitivity and specificity of new classification models based on retinal imaging parameters(1.5 year)
- Sensitivity and specificity, among CAD subjects, of a pre-specified classification model, as well as new classification models(1.5 year)