Acute Myocardial Infarction (AMI) remains the leading cause of cardiovascular mortality globally. In China, while the incidence of AMI is escalating at an annual rate of 5.2%, significant clinical challenges persist: diagnostic delays in primary care facilities exceed 40%, and the "Door-to-Balloon" (D2B) compliance rate in tertiary hospitals stagnates at a mere 65%. These figures underscore systemic deficiencies, including inefficient emergency response, regional resource disparities, and fragmented longitudinal care. Although Large Language Models (LLMs) provide a transformative technical foundation for AMI management, their clinical translation is hindered by critical bottlenecks, such as non-standardized data interfaces, limited model interpretability, inadequate hardware infrastructure at the grassroots level, and the inherent tension between data privacy and training requirements. This research proposes a comprehensive implementation strategy for an AI-driven intelligent decision-making system for AMI. On a theoretical level, the study establishes a tripartite framework of "Technological Adaptation, Scenario Implementation, and Safeguard Mechanisms." By introducing a data governance scheme based on federated learning and multimodal fusion, and constructing a "Technical-Clinical-Economic" multidimensional evaluation model, this work bridges the theoretical divide between advanced technology and clinical practice. On a practical level, the study develops adaptive gateways and lightweight models to facilitate pervasive deployment in resource-constrained settings, optimizes the full-cycle clinical workflow to improve patient outcomes, and provides a scalable, replicable pathway for implementation. Focusing on four core challenges-technological compatibility, clinical workflow integration, the balance between privacy and performance, and the establishment of scientific evaluation systems-this research aims to surmount existing translation barriers. It seeks to enhance the quality and efficiency of AMI care while providing a seminal reference for the clinical transformation of AI in other medical specialties.
Study Type
OBSERVATIONAL
Enrollment
15,000
Beijing Anzhen Hospital
Beijing, China
Major Adverse Cardiac and Cerebrovascular Events (MACCE)
A composite endpoint comprising cardiac death, all-cause mortality, malignant arrhythmia, non-fatal recurrent myocardial infarction (MI), non-fatal stroke, unplanned repeat revascularization, and rehospitalization for heart failure.
Time frame: 1 year
Cardiac Death
Defined as death resulting from a primary cardiac cause (e.g., acute MI, sudden cardiac death, heart failure, or cardiac procedures).
Time frame: 1 year
All-cause Mortality
Defined as death due to any cause, encompassing both cardiovascular and non-cardiovascular etiologies.
Time frame: 1 year
Non-fatal Recurrent Myocardial Infarction (MI)
Defined as a new myocardial infarction occurring after the index event. This includes three distinct patterns: extension of the original infarct, infarction in a region adjacent to the initial site, or a new infarction at a site distant from the original lesion.
Time frame: 1 year
Non-fatal Stroke
Consistent with the World Health Organization (WHO) definition, stroke is defined as a focal (or global) neurological deficit caused by vascular injury persisting for more than 24 hours. This includes both ischemic and hemorrhagic stroke (intracerebral, intraventricular, and subarachnoid hemorrhage).
Time frame: 1 year
Unplanned Repeat Revascularization
Defined as any non-elective readmission for percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG).
Time frame: 1 year
Rehospitalization for Heart Failure
A complex clinical syndrome resulting from structural and/or functional cardiac abnormalities that lead to reduced cardiac output and/or elevated intracardiac pressures at rest or during stress. Diagnosis requires inpatient treatment for typical symptoms and signs, such as dyspnea, fatigue, and fluid retention (e.g., pulmonary congestion, systemic venous congestion, or peripheral edema).
Time frame: 1 year
Target Lesion Revascularization (TLR)
Defined as repeat percutaneous intervention or bypass surgery involving the target lesion, which includes the stented segment plus the 5 mm proximal and distal margins. The necessity for revascularization is indicated by: (1) target lesion stenosis \>50% in the presence of objective evidence of ischemia; or (2) target lesion stenosis \>70% regardless of clinical symptoms.
Time frame: 1 year
Target Vessel Revascularization (TVR)
Defined as any repeat percutaneous intervention or bypass surgery performed on any segment of the target vessel, including the target lesion, the proximal and distal segments of the main epicardial artery, and all of its branches.
Time frame: 1 year
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