Researchers from the University of Calgary in Alberta, Canada, have developed an assessment tool that can predict a stroke patient’s risk of death after being hospitalised.
The team analysed 270,000 hospital stroke admissions that occurred between 2001 to 2007, grouping patients by those who died and those who survived.
The characteristics that predicted the patient’s risk of death were identified, and all characteristics were given a risk score.
The ones associated with highest risk of death included arriving by ambulance, being older and having atrial fibrillation.
High blood pressure, previous stroke history, known carotid stenosis, high cholesterol and smoking were found to have a lower impact.