Development and Validation of a Multimodal Artificial Intelligence Model for Early Prediction of Acute Myocardial Infarction

NCT07457320 | Not Yet Recruiting DMC

• 1 other identifier: 2025-1233
• Study Type: observational
• Target: 1,500
• Locations: 1 country
• Sites: 1

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.

Conditions

Myocardial Infarction

Outcome Measures

Primary Outcomes (1)

• Diagnostic performance

  the diagnostic performance (AUC) for predicting the risk of acute myocardial infarction (AMI) within 6 months

  6 months

Study Arms (1)

MI group

Patients who present with myocardial infarction and undergo successful percutaneous coronary intervention will be eligible for enrollment.

Procedure: Percutaneous coronary intervention

Interventions

Percutaneous coronary intervention PROCEDURE

Percutaneous coronary intervention

MI group

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Patients with myocardial infarction

You may qualify if:

• Age ≥18 years old
• Presented with myocardial infarction, including NSTEMI and STEMI
• Undergoing successful percutaneous coronary intervention.

You may not qualify if:

• Poor imaging quality or a data missing rate \>30%

Sponsors & Collaborators

• Second Affiliated Hospital, School of Medicine, Zhejiang University: lead

Study Sites (1)

The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009

Hangzhou, Zhejiang, 310000, China

Location

MeSH Terms

Conditions

Myocardial Infarction

Interventions

Percutaneous Coronary Intervention

Condition Hierarchy (Ancestors)

Myocardial Ischemia; Heart Diseases; Cardiovascular Diseases; Vascular Diseases; Infarction; Ischemia; Pathologic Processes; Pathological Conditions, Signs and Symptoms; Necrosis

Intervention Hierarchy (Ancestors)

Endovascular Procedures; Vascular Surgical Procedures; Cardiovascular Surgical Procedures; Surgical Procedures, Operative; Minimally Invasive Surgical Procedures

Central Study Contacts

Jun Jiang, MD

CONTACT

+86 15657125311; 21918219@zju.edu.cn

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: March 4, 2026
• First Posted: March 9, 2026
• Study Start: April 1, 2026
• Primary Completion (Estimated): September 30, 2027
• Study Completion (Estimated): December 1, 2028
• Last Updated: March 9, 2026

Record last verified: 2025-11

Data Sharing

• IPD Sharing: Will not share

Locations

CN (1)