Stroke
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Stroke and Risk of Suicide
Stroke should be considered a risk factor for suicide. Tactics to screen and treat depression and suicidal ideation should be an important component of long-term follow-up and care for stroke patients. -
Ischemic Stroke in Patients with COVID-19
Since the first cases of COVID-19 were reported in the United States, severe ischemic strokes also have been reported in some of these patients, some with large vessel occlusions and case reports of thrombectomy for treatment. -
Age Drives Stroke Risk in Atrial Fibrillation
Among patients with newly diagnosed atrial fibrillation age 66-74 years without other CHA2DS2-VASc risk factors for thromboembolism, the older they are in this age range, the more likely they are to experience a stroke. -
Neurology Consult Delays Can Become Issue in Claims
If a stroke patient alleges failure to administer tissue plasminogen activator, whether a timely neurology consult was obtained likely will be a central issue in the litigation. Here are some issues that can arise during litigation. -
Intracranial Plaque Rupture and Stroke
An MRI study of cerebral circulation in patients with embolic stroke of undetermined etiology showed evidence of atherosclerotic plaque in most patients.
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Employing Technology and Exergames to Improve Balance Post-Stroke
This small pilot study reveals potential for exergames (activity-based video games) to be used as a telemedicine rehabilitation intervention in improving balance and function in patients six to eight weeks post-stroke.
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Plant-Based Diet Could Cut Stroke Risk
Eating a diet rich in beans, vegetables, and whole grains was beneficial in a long-term study.
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Intracranial Plaque Rupture and Stroke
An MRI study of cerebral circulation in patients with embolic stroke of undetermined etiology showed evidence of atherosclerotic plaque in most patients, supporting the theory that unstable intracranial artery plaques play an etiologic role in embolic stroke.
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Even Moderate COVID-19 Cases Can Cause Serious Neurological Problems
Strokes, seizures, and movement disorders just a few complications observed.
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Artificial Intelligence Coming to EDs to Improve Stroke Diagnosis
Strokes, especially posterior circulation events, are associated with significant diagnostic error in the ED. Machine learning models can be designed to capture subtle signs and assist providers in catching cases that might otherwise go undetected.