Actue Coronary Syndrome
Conditions
Keywords
Acute Coronary Syndromes, Risk factor, Multi-omics analysis
Brief summary
This study aims to investigate the clinical characteristics and underlying mechanisms of acute myocardial infarction (AMI) in patients without traditional cardiovascular risk factors, such as hypertension, diabetes, dyslipidemia, or smoking history. By analyzing clinical data, imaging findings, and biomarkers, the research seeks to identify novel risk factors and mechanisms contributing to the pathogenesis of AMI in this unique population. The findings are expected to provide insights into improving diagnostic strategies and developing
Detailed description
Acute myocardial infarction (AMI) is a leading cause of morbidity and mortality worldwide, primarily associated with well-established cardiovascular risk factors such as hypertension, diabetes, dyslipidemia, smoking, and obesity. However, a subset of AMI patients present without these traditional risk factors, posing a diagnostic and therapeutic challenge. This study focuses on the clinical characteristics, pathophysiological mechanisms, and potential novel risk factors associated with AMI in patients who lack conventional cardiovascular risk profiles. The study will be conducted as a single-center observational analysis involving patients diagnosed with AMI but without a history of hypertension, diabetes, dyslipidemia, smoking, or significant family history of coronary artery disease. Key objectives include: Characterizing Clinical Features: Analyzing demographic, clinical, and imaging data to identify patterns unique to this patient population. Identifying Biomarkers: Exploring circulating biomarkers, including inflammatory markers, genetic predispositions, and coagulation abnormalities, that may contribute to AMI development. Understanding Mechanisms: Investigating potential mechanisms such as microvascular dysfunction, endothelial injury, and autoimmune or hypercoagulable states. The study will utilize advanced imaging techniques, including coronary computed tomography angiography (CTA) and cardiac magnetic resonance imaging (CMR), to assess coronary anatomy and myocardial tissue characteristics. Genomic and proteomic analyses will be performed to identify genetic and molecular contributors. By elucidating the clinical and mechanistic profile of AMI in this unique population, the research aims to enhance the understanding of nontraditional pathways leading to AMI. These findings will pave the way for improved diagnostic tools, risk stratification models, and novel therapeutic interventions tailored to this underexplored patient group.
Interventions
None listed
Sponsors
Beijing Anzhen Hospital
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
Patients diagnosed with acute myocardial infarction (AMI) based on standard clinical criteria (e.g., troponin elevation, ischemic symptoms, or imaging evidence of myocardial injury). Absence of traditional cardiovascular risk factors, including hypertension, diabetes, dyslipidemia, smoking, or obesity (BMI \< 30 kg/m²). Aged 18 years or older. Willing and able to provide informed consent.
Exclusion criteria
Presence of any traditional cardiovascular risk factors as defined above. History of known congenital or structural heart disease. Severe systemic diseases that could independently contribute to AMI (e.g., severe infection, malignancy, or autoimmune disorders). Recent history of major surgery or trauma within the last 3 months. Pregnancy or lactation. Inability to provide informed consent due to cognitive impairment or other reasons. Participation in another interventional clinical trial that might interfere with study outcomes.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Incidence of Acute Myocardial Infarction (AMI) Without Traditional Cardiovascular Risk Factors | 5 years | The primary outcome measure is the identification and characterization of acute myocardial infarction (AMI) cases occurring in patients who lack traditional cardiovascular risk factors, such as hypertension, diabetes, dyslipidemia, smoking, or obesity. The outcome will be evaluated by analyzing clinical presentation, laboratory biomarkers, imaging findings, and other diagnostic criteria to confirm the occurrence of AMI and its distinct features in this unique patient population. This will be assessed at the time of diagnosis and through follow-up evaluations during the study period. |
Contacts
Primary ContactJiayi Dr. Yi
Outcome results
None listed