Trial to Optimize Patients Selection for Endovascular Treatment in Acute Ischemic Stroke

Brief description of study

Stroke can occur when a clot stops the flow of the blood in one of the arteries supplying the brain. This type of stroke, called ischemic stroke, can be treated alone or in a combination of drugs to dissolve the clot, devices to remove the clot (mechanical thrombectomy) or use of treatments to prevent the stroke from happening again or help you get better after having a stroke. Use of devices to remove the clot (mechanical thrombectomy) has been shown to improve outcomes in patients with a clot in one of the large arteries of the brain. However, not all patients with a clot in one of the large arteries are treated with these devices. To select the patients for such device treatment, physicians usually rely on various information including time from onset of the stroke, patient’s age and how much care a patient can take of himself/herself without additional assistance before the stroke. They also rely on computer-generated images of a patient’s brain obtained by x-rays (Computed Tomography (CT) scan) or magnetic field (Magnetic Resonance Imaging – MRI). Sometimes, the physicians also get images that provide information about blood flow to the brain (perfusion imaging). However, these studies take more time and are not always available. The study wants to examine if images obtained by CT scan can identify patients for thrombectomy just as efficiently as perfusion imaging.

Additionally, this study aims to evaluate if mechanical thrombectomy plus medical management is better than medical management alone in patients who have a large stroke. It is currently unclear if mechanical thrombectomy plus medical management compared to medical management alone will lead to a better recovery from stroke in patients who have a large stroke. For this study, medical management may include medications, such as aspirin, intravenous fluids, stopping blood pressure lowering medications, and close neurologic monitoring.

Eligibility of study

You may be eligible for this study if you meet the following criteria:

Conditions:
stroke
Age: - 99 Years
Gender: All

Updated on 09 Mar 2024. Study ID: 834809

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