Atrial Fibrillation Risk Prediction Model For Women

Atrial fibrillation is the most common type of abnormal heart rhythm, affecting 2.5 million Americans. If left undetected or untreated, atrial fibrillation can lead to stroke. Determining who is at increased risk for atrial fibrillation has been difficult, especially among individuals without established heart disease. But now, researchers from Brigham and Women's Hospital have devised and tested a simple atrial fibrillation risk prediction model, based on six easily obtained factors: a woman's age, height, weight, blood pressure, alcohol consumption and smoking history... via Health News from Medical News Today Read More Here..

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