An international team led by researchers from the University of Zurich (UZH) has now developed the first risk prediction model designed specifically for cancer patients who have had a heart attack.
The study, published in The Lancet, analyzed more than one million heart attack patients in England, Sweden and Switzerland, including over 47,000 with cancer.
The researchers developed ONCO-ACS. The new tool uses artificial intelligence to combine cancer-related factors with standard clinical data to predict the chances of death, major bleeding or another cardiac event within six months.
Although traditionally considered as separate disease entities, the findings highlight the close interplay of cancer and cardiovascular disease.
The new tool gives doctors reliable information to tailor treatment individually and balance the benefits and harms.
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