Validation assessment of risk tools to predict outcome after thrombolytic therapy for acute ischemic stroke

Highlights • Validation of eight prediction models for functional outcome after thrombolytic therapy. • MMS had the best predictive capacity for sICH. • s-TPI had the best predictive capacity for functional outcome. • s-TPI had the best discriminatory ability. • All models showed fair predictive val...

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Bibliographic Details
Published in:Clinical neurology and neurosurgery 2014-10, Vol.125, p.189-193
Main Authors: Van Hooff, Robbert-Jan, Nieboer, Koenraad, De Smedt, Ann, Moens, Maarten, De Deyn, Peter Paul, De Keyser, Jacques, Brouns, Raf
Format: Article
Language:English
Subjects:
Adult
Age
Aged
Aged, 80 and over
Blood pressure
Calibration
Cerebral Hemorrhage - drug therapy
Confidence intervals
Female
Fibrinolytic Agents - therapeutic use
Glucose
Heart attacks
Humans
Male
Middle Aged
Mortality
Neurology
Neurosurgery
Predictive Value of Tests
Probability
Prognosis
Risk Assessment
Risk Factors
Statistics
Stroke
Stroke - drug therapy
Stroke, acute
Stroke, outcome
Thrombolysis
Thrombolytic Therapy - methods
Tissue Plasminogen Activator - therapeutic use
Veins & arteries
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Summary:Highlights • Validation of eight prediction models for functional outcome after thrombolytic therapy. • MMS had the best predictive capacity for sICH. • s-TPI had the best predictive capacity for functional outcome. • s-TPI had the best discriminatory ability. • All models showed fair predictive value in patients treated according to daily practice.
ISSN:0303-8467
1872-6968
DOI:10.1016/j.clineuro.2014.08.011