Biomarkers for Prediction of Stroke Risk in Atrial Fibrillation

Every year in the United States more than 775,000 people experience a stroke, with one occurring on average every 40 seconds.  Accounting for about one of every 18 deaths in the United States, the condition ranks third among all causes of death.  With only a four hour therapeutic window, stroke is also a leading cause of long-term disability.  The estimated direct and indirect cost of stroke in 2010 is estimated to be $73.7 billion dollars; as a result, there is a growing market for risk determining methods for stroke, especially in patients with atrial fibrillation (AF), the most common cardiac arrhythmia and a large cause of strokes.  AF affects more than 5% of the population older than 65 years and is associated with an increased risk of worsening heart failure. Therefore, as the elderly population continues to rise and as stroke is typically the initial manifestation of embolism in AF, diagnostic and preventative steps are critical to reducing disability and mortality.

Description/Details

Scientists at the University of Illinois at Chicago (UIC) have proposed a unique blood test to predict the risk of stroke in patients with AF.  Data collected from over 60 patients indicate that certain serum markers and derivatives of reactive oxygen metabolites (DROMs) can be used as biomarkers for determining the risk of stroke in AF patients.

Applications

  • The invention can be used to aid in choosing therapeutic options when preventing stroke in patients with AF.
  • The invention can be used in the prediction of risk of stroke in patients with AF.

Benefits

  • Current technology suggests a blood test for better assessment of the risk of stroke in patients with AF.  Currently, risk of stroke is assessed through CHADS2 scoring system.  UIC technology, which takes into account other factors involved in the disease, will provide a refined assessment of stroke risk to direct an increasing array of therapeutic options.
  • Technology is supported by patient data.

Inventor Name

Dr. Sam Dudley MD, PhD

Reference #

DD132
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