New Analysis Predicts Which Stroke Patients Will Be Helped or Harmed By Clot-Busting Treatment
Baltimore, MD - Johns Hopkins researchers say they have developed a technique that can predict — with 95 percent accuracy — which stroke victims will benefit from intravenous, clot-busting drugs and which will suffer dangerous and potentially lethal bleeding in the brain.
Reporting online May 15 in the journal Stroke, the Johns Hopkins team says these predictions were made possible by applying a new method they developed that uses standard MRI scans to measures damage to the blood-brain barrier that protects the brain from drug exposure.
If further tests confirm their method’s accuracy, it could form the basis of expanded and more precise use of intravenous tPA, a drug that is currently limited to patients who are within 4.5 hours of a stroke onset, in order to have the best chance of dissolving the blood clot causing the stroke without risking additional damage.
If doctors had a safe, reliable tool to determine which patients could still be safely treated outside that window, more patients could be helped, the researchers say.
“If we are able to replicate our findings in more patients, it will indicate we are able to identify which people are likely to have bad outcomes, improving the drug’s safety and also potentially allowing us to give the drug to patients who currently go untreated,” says study leader Richard Leigh, M.D., an assistant professor of neurology and radiology at the Johns Hopkins University School of Medicine.
Leigh’s method is a computer program that lets physicians see how much gadolinium, the contrast material injected into a patient’s vein during an MRI scan, has leaked into the brain tissue from surrounding blood vessels. By quantifying this damage in 75 stroke patients, Leigh identified a threshold for determining how much leakage was dangerous. Then, he and his team applied this threshold to those 75 records to determine how well it would predict who had suffered a brain hemorrhage and who had not. The new test correctly predicted the outcome with 95 percent accuracy. Continue>
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