Recently a web-based tool has been developed which is to be used for prediction a second stroke within the 90s of a first stroke. According to an online edition of Neurology®, the medical Journal of American Academy of Neurology, published on December 16, 2009 this web tool has the ability to predict whether a patient is prone to suffer a second stroke with 90 days after the first stroke.
According to Hakan Ay, M.D., who is the study author, this web tool to predict a second stroke is very important from various aspects. People who suffer a second stroke after a first one, has the greater risk of death or major disability. According to Hakan, who is associated with Massachusetts General Hospital as well as Harvard Medical School in Boston, as this web tool to predict a second stroke can help to identify whether a patient is having a higher risk for second stroke, necessary action can be taken so that the patient can be evaluated and treated appropriately to prevent the second occurrence of stroke.
To conduct the study on occurrence of second stroke after first stroke to create a web tool to predict a second stroke, 1458 patients were surveyed. These 1458 patients were admitted within 72 hours of experiencing ischemic stroke. Medical history as well as brain scan on these patients were obtained for future comparison. 60 incidences of stroke happened after a three-month follow up of 806 of the 1458 patients. Out of these 60 strokes, 30 strokes occurred within a period of 14 days after the first stroke. As a result of the study they obtained the information that within the next 14 days of first stroke, the risk of recurrence is 2.6 percent while after 90 days the risk of recurrent stroke is about 6 percent.
The newly developed web tool to predict a second stroke is named as “Recurrence Risk Estimator at 90 days”. It is also labeled as RRE-90 score. This is designed to calculate the risk of recurrent stroke in a patient within 90 days after suffering the first stroke. This calculation is done looking at various aspects such as information from brain scan after the first stroke, history of transient ischemic attacks or TIAs, history of mini-stroke as well as the patient's other stroke risk factors. The higher scores indicate the higher probability of the patient suffering a second stroke within 90 days. This risk of recurrence in 90 days is found to be at least 40 times greater for people having four or more stroke risk factors than those having no stroke risk factors. This study aimed to create a web tool to predict a second stroke, has also found that patients who experienced a second stroke were having one or more stroke risk factors.
According to Hakan, this web tool can help in better stroke care as there is no tool for predicting short term risk for developing recurrent stroke. This will help people with higher score to get admitted so that a preventative care can be undertaken.