"The study, published in the journal Circulation, found that the tool determined the likelihood of death in stroke patients 30 days and one year after an ischemic stroke."
New online tool predicts probability of death from stroke - First-of-its-kind model considers disease risk factors to assess likelihood of death in stroke patients.
Researchers at St. Michael's Hospital and the Institute for Clinical and Evaluative Sciences (ICES) in Toronto have developed a new tool that will help doctors predict the probability of death in patients after an ischemic stroke.
The study, published in the journal Circulation, found that the tool determined the likelihood of death in stroke patients 30 days and one year after an ischemic stroke. An ischemic stroke, the most common type of stroke, occurs when an artery to the brain is blocked.
The tool, available online for doctors at www.sorcan.ca/iscore/ is the first to use risk factors such as heart disease, diabetes, cancer and kidney disease to estimate the probability of death. The findings are being presented at the International Stroke Conference in Los Angeles.
"Doctors today have to rely on anecdotal experience to assess a patient's prognosis," says Dr. Gustavo Saposnik, a neurologist at St. Michael's Hospital and ICES scientist. "However, as doctors we tend to overestimate the likelihood of a good outcome in stroke patients. Now, with our new tool, we can accurately determine what type of outcome our patients may have, which will help guide clinical decisions."
The study examined 12,262 patients who visited an Ontario hospital from 2003 to 2008 and suffered an ischemic stroke. Using the new tool, researchers determined the death rate 30 days and one year after an ischemic stroke and compared the findings with data from the Ontario Stroke Audit to validate the results. Researchers found the tool was accurate and that risk factors including heart disease, heart failure, cancer, dementia and a history of atrial fibrillation "an irregular heartbeat " were associated with a higher probability of death.
"Our tool was developed and validated in the real world," Dr. Saposnik explains. "This is a tool that helps doctors estimate the risk of a poor outcome in stroke patients, helps families make more informed decisions and can be used by policymakers to accurately compare hospital performance in stroke care."
St. Michael's Hospital provides compassionate care to all who walk through its doors. The Hospital also provides outstanding medical education to future health care professionals in more than 23 academic disciplines. Critical care and trauma, heart disease, neurosurgery, diabetes, cancer care, and care of the homeless are among the Hospital's recognized areas of expertise. Through the Keenan Research Center and the Li Ka Shing Knowledge Institute, research at St. Michael's Hospital is recognized and put into practice around the world. Founded in 1892, the Hospital is fully affiliated with the University of Toronto.
ICES is an independent, non-profit organization that uses population-based health information to produce knowledge on a broad range of health care issues. Our unbiased evidence provides measures of health system performance, a clearer understanding of the shifting health care needs of Ontarians, and a stimulus for discussion of practical solutions to optimize scarce resources. ICES knowledge is highly regarded in Canada and abroad, and is widely used by government, hospitals, planners, and practitioners to make decisions about care delivery and to develop policy.
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