Washington, February 26 : Experts at the Children's Hospital Informatics Program (CHIP) say that an individual's lifetime risk of stroke can now be predicted with the aid of a new statistical model.
During a study, they used genetic information from 569 hospital patients, and showed that their predictive model could estimate an individual's overall risk of cardioembolic stroke - the most common form of stroke - with 86 percent accuracy.
"For complex diseases like stroke, it's not just a single mutation that will kill you. More likely it is an interaction of many factors," explains CHIP researcher Dr. Marco Ramoni, an Associate Professor at Harvard Medical School and senior author of the study reported in the journal Stroke.