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Predictors of Mortality in Acute Ischemic Stroke Intervention
- Source :
- Stroke. 46:2305-2308
- Publication Year :
- 2015
- Publisher :
- Ovid Technologies (Wolters Kluwer Health), 2015.
-
Abstract
- Background and Purpose— Failure to recanalize predicts mortality in acute ischemic stroke. In the North American Solitaire Acute Stroke registry, we investigated parameters associated with mortality in successfully recanalized patients. Methods— Logistic regression was used to evaluate baseline characteristics and recanalization parameters for association with 90-day mortality. A multivariable model was developed based on backward selection with retention criteria of P P ≤0.10), then refit to minimize the number of excluded cases (missing data). Results— Successfully recanalized patients had lower mortality (25.2% [59/234] versus 46.9% [38/81] P P =0.205). However, mortality was significantly higher in patients with symptomatic intracranial hemorrhage (72% [23/32] versus 26% [73/281]; P P P c index=0.72), proximal occlusion, initial National Institutes of Health Stroke Scale≥18, and use of rescue therapy remained significant independent predictors of 90-day mortality. Conclusions— Failure to recanalize and presence of symptomatic intracranial hemorrhage resulted in increased mortality. Despite successful recanalization, proximal occlusion, high National Institutes of Health Stroke Scale, and need for rescue therapy were predictors of mortality.
- Subjects :
- Male
medicine.medical_specialty
Solitaire Cryptographic Algorithm
Intervention analysis
Predictive Value of Tests
Risk Factors
Internal medicine
medicine
Humans
In patient
Registries
Multivariable model
Mortality
Stroke
Acute ischemic stroke
Aged
Retrospective Studies
Acute stroke
Aged, 80 and over
Advanced and Specialized Nursing
Cerebral Revascularization
business.industry
medicine.disease
Surgery
Treatment Outcome
Baseline characteristics
North America
Cardiology
Female
Neurology (clinical)
Cardiology and Cardiovascular Medicine
business
Subjects
Details
- ISSN :
- 15244628 and 00392499
- Volume :
- 46
- Database :
- OpenAIRE
- Journal :
- Stroke
- Accession number :
- edsair.doi.dedup.....ca76d82376fb4e183062c14e163c5f1b