coronary artery disease
Conditions
Interventions
Gold Standard:intravascular ultrasound (IVUS) and/or optical coherence tomography (OCT)
Index test:A 
prediction 
model 
based 
on 
machine 
learning-derived 
model
Sponsors
General Hospital of Northern Theater Command
Eligibility
Sex/Gender
All
Age
40 Years to 70 Years
Inclusion criteria
Inclusion criteria: Two kinds of patients will be enrolled in this study, consisting of patients with coronary artery disease (CAD) who undergo coronary artery bypass grafting (CABG) and patients with acute coronary syndrome (ACS) that undergo percutaneous coronary intervention (PCI). Detailed inclusion criteria are listed as follows: CABG group (patients meeting all of the following criteria will be enrolled) 1. Patients with CAD undergo coronary CT angiography (CCTA) within one week before CABG; 2. Aged 40 to 70 years; 3. Willingness to participate in and cooperate with clinical trials with a sufficient understanding of research methods and purposes. PCI group (patients meeting all of the following criteria will be enrolled): 1. Patients with ACS undergo endovascular imaging for detection of the culprit lesions during PCI; 2. Receiving CCTA within 72 hours after PCI; 3. Aged 40 to 70 years; 4. Willingness to participate in and cooperate with clinical trials with a sufficient understanding of research methods and purposes.
Exclusion criteria
Exclusion criteria: In this study, the exclusion criteria are available for both CABG group and PCI group ( patients meeting one or more of the following conditions will be excluded): 1. Patients undergoing cardiac surgery; 2. Patients with history of chest malignant tumor and/or related treatment history; 3. Patients with acute or chronic infectious diseases; 4. Patients with pericarditis or pericardial effusion; 5. Drug abusers; 6. Allergy history of iodine contrast medium; 7. The image quality of CCTA is poor and the artifacts are serious; 8. Abnormal origin of coronary artery or single coronary artery malformation.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Sensitivity and specificity of the patch stability prediction model using test set data; | — |
Secondary
| Measure | Time frame |
|---|---|
| The diagnostic accuracy, area under the ROC curve, cut-off value, positive predictive value and negative predictive value of the patch stability prediction model using test set data; | — |
Countries
China
Contacts
Public ContactBenqiang Yang
General Hospital of Northern Theater Command
Outcome results
None listed