Coronary atherosclerotic heart disease
Conditions
Interventions
Patients undergoing OCT-guided percutaneous coronary intervention, the main training and validation dataset:Patients in this study received routine diagnosis and treatment for coronary atherosclerosis
Patients undergoing OCT-guided percutaneous coronary intervention were retrospectively included as an internal validation group:Patients in this study received routine diagnosis and treatment for coro
Patients undergoing OCT-guided percutaneous coronary intervention were retrospectively included as the external validation group:Patients in this study received routine diagnosis and treatment for cor
Patients undergoing OCT-guided percutaneous coronary intervention were enrolled prospectively:Patients in this study received routine diagnosis and treatment for coronary atherosclerosis patients, int
Sponsors
The Sixth Medical Center of the Chinese PLA General Hospital
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: Part I: Artificial intelligence identification of coronary lipid plaque based on OCT Consecutive patients with coronary heart disease who underwent OCT examination from August 2020 to August 2023 were enrolled. Part II: The predictive value of lipid plaque AI diagnostic model for early and late adverse cardiovascular events after PCI in CHD patients 1) Age =18 years old 2) Coronary heart disease patients with negative myocardial enzymes and troponin at admission and scheduled for elective PCI 3) At least one lesion was confirmed by coronary angiography with stenosis =40% as assessed by QCA 4) no previous stent placement in the non-culprit vessel 5) Informed consent of patients to participate in this study
Exclusion criteria
Exclusion criteria: Part I: Artificial intelligence identification of coronary lipid plaque based on OCT 1) DES-ISR patients without OCT due to severe renal insufficiency or contrast agent allergy; 2) patients with lipid-free coronary plaque detected by OCT; 3) patients with poor OCT image quality. Part II: The predictive value of lipid plaque AI diagnostic model for early and late adverse cardiovascular events after PCI in CHD patients 1) survival time less than 1 year 2) hemodynamic instability And 3) patients with acute myocardial infarction within the past 30 days 4) severe valvular disease or left ventricular ejection fraction =40% 5) left main coronary artery disease, left anterior descending or circumflex artery disease, right coronary ostial disease, chronic total occlusion disease, extreme tortuosity of blood vessels, severe calcification lesions 6) patients with unclear intracavitary images which could not be analyzed
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| perioperative myocardial infarction; | — |
Secondary
| Measure | Time frame |
|---|---|
| Clinical baseline data;Interventional procedure characteristics data;OCT measurements;Intraoperative adverse events;Stent thrombosis;Stroke;Heart Failure;Fatal arrhythmia;Rehospitalization due to unstable angina;Unplanned repeat coronary revascularization was performed;Renal Failure;MACE related to non-target lesions occurred within 12 months after operation; | — |
Countries
China
Contacts
Public ContactGao Lei
The Sixth Medical Center of Chinese PLA General Hospital
Outcome results
None listed