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Published Online
on April 10, 2008

Stroke. 2008
Published online before print April 10, 2008, doi: 10.1161/STROKEAHA.107.505867
A more recent version of this article appeared on June 1, 2008
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Submitted on September 30, 2007
Revised on October 22, 2007
Accepted on October 24, 2007

Predicting Long-Term Outcome After Acute Ischemic Stroke. A Simple Index Works in Patients From Controlled Clinical Trials

Inke R. König PhD*; Andreas Ziegler PhD; Erich Bluhmki PhD; Werner Hacke MD; Philip M.W. Bath MD; Ralph L. Sacco MD, MS; Hans C. Diener MD; Christian Weimar MD; on behalf of the Virtual International Stroke Trials Archive (VISTA) Investigators

From the Institut für Medizinische Biometrie und Statistik (I.R.K., A.Z.), Universität zu Lübeck, Lübeck, Germany; Boehringer Ingelheim (E.B.), Ingelheim am Rhein, Germany; Neurologische Klinik (W.H.), Universität Heidelberg, Heidelberg, Germany; Stroke Trials Unit (P.M.W.B.), Division of Stroke Medicine, University of Nottingham, Nottingham, England; Miller School of Medicine (R.L.S.), University of Miami, Miami, Fla; and Klinik für Neurologie (H.C.D., C.W.), Universitätsklinikum Essen, Universität Duisburg-Essen, Essen, Germany.

* To whom correspondence should be addressed. E-mail: inke.koenig{at}imbs.uni-luebeck.de.

Background and Purpose—An early and reliable prognosis for recovery in stroke patients is important for initiation of individual treatment and for informing patients and relatives. We recently developed and validated models for predicting survival and functional independence within 3 months after acute stroke, based on age and the National Institutes of Health Stroke Scale score assessed within 6 hours after stroke. Herein we demonstrate the applicability of our models in an independent sample of patients from controlled clinical trials.

Methods—The prognostic models were used to predict survival and functional recovery in 5419 patients from the Virtual International Stroke Trials Archive (VISTA). Furthermore, we tried to improve the accuracy by adapting intercepts and estimating new model parameters.

Results—The original models were able to correctly classify 70.4% (survival) and 72.9% (functional recovery) of patients. Because the prediction was slightly pessimistic for patients in the controlled trials, adapting the intercept improved the accuracy to 74.8% (survival) and 74.0% (functional recovery). Novel estimation of parameters, however, yielded no relevant further improvement.

Conclusions—For acute ischemic stroke patients included in controlled trials, our easy-to-apply prognostic models based on age and National Institutes of Health Stroke Scale score correctly predicted survival and functional recovery after 3 months. Furthermore, a simple adaptation helps to adjust for a different prognosis and is recommended if a large data set is available.


Key words: stroke • outcome • National Institutes of Health Stroke Scale • prediction • clinical trials


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