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.

Blood test

The Myocardial-Ischaemic-Injury-Index (or MI3) algorithm has been developed and tested by a group of international researchers and cardiologists, including Australians.

The algorithm gives each patient a score between 0 and 100 based on their age, gender and the results of two consecutive measurements of cardiac troponin I — the first performed on arrival in ED and the other

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