Myocardial Infarction
Conditions
Brief summary
Acute myocardial infarction (AMI) remains a leading cause of mortality worldwide. Although early revascularization has markedly improved short-term outcomes, the incidence of major adverse cardiovascular events after the index event remains unacceptably high, posing a formidable clinical challenge. Contemporary risk-stratification instruments rely predominantly on a restricted set of conventional clinical variables and therefore fail to capture the full spectrum of individual pathophysiological complexity. To overcome these limitations, the present investigation aims to develop a post-AMI prognostic model that integrates comprehensive multimodal data.
Interventions
PROCEDUREPercutaneous coronary intervention
Percutaneous coronary intervention
Sponsors
Second Affiliated Hospital, School of Medicine, Zhejiang University
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
1. Age ≥18 years old 2. Presented with myocardial infarction, including NSTEMI and STEMI 3. Undergoing successful percutaneous coronary intervention.
Exclusion criteria
1.Poor imaging quality or a data missing rate \>30%
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Diagnostic performance | 6 months | the diagnostic performance (AUC) for predicting the risk of acute myocardial infarction (AMI) within 6 months |
Countries
China
Contacts
CONTACTJun Jiang, MD
Outcome results
None listed