New tool can detect which patients have MI
Algorithm gives a score of between 0 and 100 based on risk factors and troponin tests
Doctors may soon be able to sort patients presenting with symptoms of acute MI into three risk categories, a study of a new clinical decision support tool suggests.
The Myocardial-Ischaemic-Injury-Index (or MI3) algorithm has been developed and tested by a group of international researchers and cardiologists, including Australians.
