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Enhanced Prediction Model for Major Adverse Events Following Acute Myocardial Infarction

Enhanced Prediction Model for Major Adverse Events Following Acute Myocardial Infarction

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07250152
Enrollment
1544
Registered
2025-11-26
Start date
2025-12-01
Completion date
2028-12-31
Last updated
2025-11-26

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Myocardial Infarction (MI)

Keywords

myocardial infarction

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
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

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. Subjects who decline protocol-mandated follow-up or withhold informed consent. 2. Individuals whose expected survival is \< 1 year.

Design outcomes

Primary

MeasureTime frameDescription
Recurrent myocardial infarction or cardiac deathAt 24-month Follow-upPatients received recurrent myocardial infarction or cardiac death
Diagnostic performanceAt 24-month follow-upDiagnostic performance of the AI-driven multimodal predictive model: area under the receiver-operating characteristic curve (AUC), sensitivity, specificity, overall accuracy, positive predictive value (PPV), and negative predictive value (NPV).
MACE at 24 monthsAt 24-month follow-upMajor adverse cardiovascular events, defined as a compisite of cardiac death, myocardial infarction, target vessel revascularization.

Secondary

MeasureTime frameDescription
MACE at 60 monthsAt 60-month follow-upMajor adverse cardiovascular events, defined as a compisite of cardiac death, myocardial infarction, target vessel revascularization.

Other

MeasureTime frameDescription
MACE according to pre-specified subgroupsAt 24- and 60-month follow-upMACE stratified by sex, diabetes status, and chronic kidney disease (CKD) status.
MACE according to physiological statusAt 24- and 60-month follow-upMACE prediction integrating physiological metrics-angiographic FFR, IMR, MRR, and CFR-of the culprit and non-culprit coronary arteries.

Countries

China

Contacts

Primary ContactJun Jiang, MD
21918219@zju.edu.cn+86 15657125311

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026