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Doctors know patients with atrial fibrillation are at a higher risk of having a stroke, and now a new study finds that integrating two separate clinical risk score models more accurately helps doctors assess the stroke risk of patients with Afib.

The composite stroke decision tool studied by researchers from the Intermountain Medical Center Heart Institute in Salt Lake City combines the widely used CHA2DS2-VASc with the Intermountain Risk Scores (IMRS) to derive and validate new stroke prediction scores.

The study shows the new model, IMRS-VASc, was significantly more effective in predicting stroke risk and will give clinicians a more effective and accurate tool to assess patients with cardiovascular disease.

Atrial fibrillation, the most common heart arrhythmia in the world, affects more than 2.7 million American adults. The abnormal heart rhythm causes blood to pool and clot in the heart, and when those blood clots break free, they can cause a stroke.

Researchers found that the new IMRS-VASc risk score model nearly doubles their ability to appropriately predict stroke risk compared to the traditional CHA2DS2-VASc risk tool. The development of the IMRS-VASc risk score model is the first step in a research pathway for other conditions that will ultimately result in time and cost savings for both patient and physician.

Researchers presented results from the study at the Heart Rhythm Society’s 39th annual Scientific Sessions in Boston earlier this month.