Acute Myocardial Infarction
Conditions
Keywords
Acute Myocardial Infarction, Prediction Score, Machine Learning, Hemorrhagic MI
Brief summary
Developing a prediction score model for predicting the likelihood of Hemorrhagic MI
Interventions
None listed
Sponsors
Rohan Dharmakumar
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 79 Years
Healthy volunteers
No
Inclusion criteria
* Age \> 18 yrs * Index MI * Primary PCI
Exclusion criteria
* History of prior myocardial infarction, * Thrombolysis before PCI * Contraindication to Cardiac MRI
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Hemorrhagic MI | Emergency admission to Percutaneous Intervention | Percentage of MI patients confirmed as Hemorrhagic MI |
Countries
United States
Outcome results
None listed