Long Term Predictors of Acute Myocardial Infarction in Patients With Coronary Revascularization: a Machine Learning Analysis After a 7 Years Follow-up

Azienda Ospedaliera Universitaria Policlinico "G. Martino"1 site in 1 country652 target enrollmentJanuary 13, 2021

ConditionsAcute Myocardial Infarction Revascularization

Overview

Phase: N/A
Intervention: Not specified
Conditions: Acute Myocardial Infarction
Sponsor: Azienda Ospedaliera Universitaria Policlinico "G. Martino"
Enrollment: 652
Locations: 1
Primary Endpoint: Incidence of Acute Myocardial Infarction (AMI)
Status: Completed
Last Updated: last year

Overview Investigators Eligibility Criteria Outcomes Sites Similar Trials

Overview

Brief Summary

Worldwide, Ischemic heart disease is the single most common fatal disease. One of the most common causes of acute myocardial infarction is represented by obesity. Numerous cardio metabolic variables play a key role in incidence of adverse cardiovascular outcomes. The purpose of this research was to investigate the factors allowing to acute coronary syndrome, related to the metabolic status, to help guide each patient toward early preventing behaviors.

Registry

clinicaltrials.gov

Start Date

January 13, 2021

End Date

December 31, 2022

Last Updated

last year

Study Type

Observational

Sex

All

Investigators

Sponsor

Azienda Ospedaliera Universitaria Policlinico "G. Martino"

Responsible Party

Sponsor

Eligibility Criteria

Inclusion Criteria

•Patients met the criteria for Acute Coronary Syndrome (ACS) as defined by the Joint European Society of Cardiology/American College of Cardiology Committee.
•Patients underwent immediate coronary revascularization (primary PCI) for ST-Elevation Myocardial Infarction (STEMI).
•Patients underwent coronary revascularization (early PCI) within 24 hours for Non-ST-Elevation Myocardial Infarction (NSTEMI).
•Patients underwent diagnostic coronary angiography following coronary artery bypass graft surgery (CABG).