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New prediction tool could help increase uptake of heart failure medicines
A new heart failure (HF) treatment effect calculator could help overcome one of the largest barriers to effective heart failure care by predicting the expected effects of treatment on blood pressure, kidney function and potassium levels.
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The research, presented today at the European Society of Cardiology (ESC) Congress and simultaneously published today in Nature Medicine , uses individual patient data from 38,753 participants across nine major heart failure trials. "Over the last 30 years, we have seen significant treatment advances for patients with heart failure, but adoption of these therapies has been poor," said Dr. Nelson Wang, a cardiologist and senior research fellow at The George Institute for Global Health.
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