Nurse Work Environment Tied to Ischemic Stroke Outcomes
In hospitals with better nurse work environments, ischemic stroke patients experience lower odds of readmissions and shorter lengths of stay.
Stroke
Elevated SBP Prior to OAC Initiation Linked to Hemorrhagic Stroke Risk in AF
This study suggests that lowering SBP <145 mmHg before oral anticoagulation initiation may decrease risk for hemorrhagic stroke in patients with hypertension and atrial fibrillation.
Black Patients May Have Higher Mortality Risk After Ischemic Stroke
Study researchers presented their findings regarding race differences in 10-year mortality following ischemic stroke during the 2021 International Stroke Conference.
Stroke and Systemic Embolism Risk Is Highest with HFpEF Among Heart Failure Types
Study authors assessed the risk of stroke and systemic embolism in patients with atrial fibrillation and heart failure according to HF types.
Pregnancy-Associated Stroke Mortality Increased Among Black Women
At the 2021 International Stroke Conference, study researchers presented their findings regarding racial disparities in mortality due to pregnancy associated stroke.
Aspirin Use Tied to Lower Rates of COVID-19 Infection
Adults using low-dose aspirin for primary or secondary prevention of CVD had lower likelihood of COVID-19 infection vs nonusers.
ASA: Endocarditis, Related Strokes Up During Opioid Epidemic
Study authors retrospectively analyzed data to assess the relationship between concomitant intravenous drug use and infective endocarditis.
Telestroke for Patients With Ischemic Stroke: More Reperfusion Therapy, Better Outcomes
Investigators sought to describe differences in care patterns and outcomes among patients with acute ischemic stroke who present to hospitals with and without telestroke capacity.
ASA: Delays in Hospital Care After Arrival Worsen Stroke Outcomes
In stroke patients, continuous quality improvement should involve minimizing delays in door-to-puncture and door-to-reperfusion time to minimize poor patient outcomes.
Deep Neural Networks Using 12-Lead ECG Predicts New-Onset AF
Deep neural networks using information from a12-lead ECG can predict new-onset atrial fibrillation (AF) risk in patients with no prior history of AF.
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