Doctors should use stress imaging to identify patients at high risk of mortality from cardiovascular disease, a European conference has been told.
Combined with machine learning, stress cardiovascular magnetic resonance can give an accurate forecast of the risks faced by patients with suspected or known coronary artery disease, the conference was told.
Patients with chest pain, dyspnoea and other risk factors should undergo the examination, according to the report yesterday to EuroEcho 2021, a conference of the European Society of Cardiology.
The US study involved more than 31,000 patients examined in Paris, France, and is the first study of its kind, according to researchers.
Researcher Dr Theo Pezel, of the Johns Hopkins Hospital, Baltimore, said: “The findings indicate that patients with chest pain, dyspnoea, or risk factors for cardiovascular disease should undergo a stress CMR exam and have their score calculated. This would enable us to provide more intense follow-up and advice on exercise, diet, and so on to those in greatest need.
“For clinicians, some information we collect from patients may not seem relevant for risk stratification. But machine learning can analyse a large number of variables simultaneously and may find associations we did not know existed, thereby improving risk prediction.”
Abstract: Machine-learning score using stress CMR for death prediction in patients with suspected or known CAD
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