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Optimized Management of Endovascular Treatment for Acute Ischemic Stroke

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Published on: January 18, 2018

Outcome Predictors in First-Ever Ischemic Stroke Patients: A Population-Based Study.

Giovanni Corso¹, Edo Bottacchi¹, Piera Tosi¹

¹Department of Neurology, Stroke Unit Ospedale Regionale, Viale Ginevra, No., 11100 Aosta, Italy.

International Scholarly Research Notices

|July 21, 2016

Summary

Very old age and cardiac embolism predict ischemic stroke severity. These factors, along with comorbidities, independently influence long-term mortality after stroke.

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Area of Science:

Neurology
Epidemiology
Cardiology

Background:

Limited population-based data exists on predictors of first-ever ischemic stroke severity and long-term mortality.
Understanding these predictors is crucial for patient management and prognosis.

Purpose of the Study:

To characterize patients with first-ever ischemic stroke.
To identify independent predictors of stroke severity and long-term mortality.

Main Methods:

Utilized data from the population-based Cerebrovascular Aosta Registry (2004-2008).
Included 1057 patients with first-ever ischemic stroke.
Employed multivariate logistic regression, Kaplan-Meier estimates, and Cox proportional Hazards models.

Main Results:

Predictors of stroke severity included very old age, female gender, atrial fibrillation, low ejection fraction, and cardioembolism.
Predictors of long-term mortality included very old age, prestroke high modified Rankin Scale, high Charlson Index, atrial fibrillation, and stroke severity.
Very old age (OR 2.98) and cardioembolism (OR 2.0) were key predictors of severity.

Conclusions:

Very old age and cardiac embolism are independent predictors of ischemic stroke severity.
These factors, combined with comorbid conditions, independently impact long-term mortality post-ischemic stroke.