NCT06767852

Risk Prediction Model of MACE in Patients With AMI Based on Multi-modal Machine Learning

the Risk Prediction Model of MACE After PCI in Patients With AMI Based on Multimodal Machine Learning and the Effect of Digital Therapeutics for Cardiac Rehabilitation

• Status: Not Yet Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 655 (estimated)
• Sponsor: The First Affiliated Hospital with Nanjing Medical University · Academic / Other
• Sex: All
• Age: 18 Years – 75 Years
• Healthy volunteers: Not accepted

Summary

A prospective, multicenter, observational study is adopted, with Jiangsu Provincial People's Hospital as the leading unit, and the other 13 Hospitals as cooperative units.

Detailed description

The deployment of an integrated cardiac rehabilitation management platform from the hospital to the outside of the hospital is uniformly arranged, and based on this platform, a study on the construction of a MACE prediction model and disease risk stratification for patients with acute myocardial infarction after PCI is carried out. It is planned to include 655 inpatients after PCI for acute myocardial infarction. Among them, the leading unit completes the enrollment and follow-up of 44 patients, and each cooperative unit completes the enrollment and follow-up of 47 patients, and competitive enrollment is allowed.

Conditions

• Acute Myocardial Infarction

Timeline

• Start date: 2025-03-01
• Primary completion: 2026-06-01
• Completion: 2026-12-01
• First posted: 2025-01-10
• Last updated: 2025-01-10

Locations

1 site across 1 country: China