GPs' heart disease prediction tool narrows search for at-risk patients

A prediction tool that allows GPs to spot patients most at risk from heart disease and stroke before illness strikes is now more accurate than ever before, a study from the University of Nottingham has shown.

Smaller groups of patients who would previously have slipped through the net can now be picked up as ‘at risk’, thanks to the new updated version of the QRISK computer algorithm, reveals research published in the BMJ.

Like its predecessors, the QRISK3 computer algorithm used millions of patient records to look for factors which may put some at greater risk of developing heart disease or having a stroke in the next 10 years.

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