Predicting long-term outcome after acute ischemic stroke: a simple index works in patients from controlled clinical trials
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 a...
| Main Authors: | , , , , , , , |
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| Format: | Article |
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American Stroke Association
2008
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| Online Access: | https://eprints.nottingham.ac.uk/890/ |
| _version_ | 1848790497695367168 |
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| author | Konig, Inke Ziegler, Andreas Bluhmki, Enrich Hacke, Werner Bath, Philip M.W. Sacco, Ralph L. Diener, Hans-Christoph Weimar, Christian |
| author_facet | Konig, Inke Ziegler, Andreas Bluhmki, Enrich Hacke, Werner Bath, Philip M.W. Sacco, Ralph L. Diener, Hans-Christoph Weimar, Christian |
| author_sort | Konig, Inke |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. (Stroke. 2008;39:000-000.) |
| first_indexed | 2025-11-14T18:13:33Z |
| format | Article |
| id | nottingham-890 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:13:33Z |
| publishDate | 2008 |
| publisher | American Stroke Association |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-8902020-05-04T20:27:47Z https://eprints.nottingham.ac.uk/890/ Predicting long-term outcome after acute ischemic stroke: a simple index works in patients from controlled clinical trials Konig, Inke Ziegler, Andreas Bluhmki, Enrich Hacke, Werner Bath, Philip M.W. Sacco, Ralph L. Diener, Hans-Christoph Weimar, Christian 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. (Stroke. 2008;39:000-000.) American Stroke Association 2008 Article PeerReviewed Konig, Inke, Ziegler, Andreas, Bluhmki, Enrich, Hacke, Werner, Bath, Philip M.W., Sacco, Ralph L., Diener, Hans-Christoph and Weimar, Christian (2008) Predicting long-term outcome after acute ischemic stroke: a simple index works in patients from controlled clinical trials. Stroke . ISSN 0039-2499 |
| spellingShingle | Konig, Inke Ziegler, Andreas Bluhmki, Enrich Hacke, Werner Bath, Philip M.W. Sacco, Ralph L. Diener, Hans-Christoph Weimar, Christian Predicting long-term outcome after acute ischemic stroke: a simple index works in patients from controlled clinical trials |
| title | Predicting long-term outcome after acute ischemic stroke:
a simple index works in patients from controlled clinical trials |
| title_full | Predicting long-term outcome after acute ischemic stroke:
a simple index works in patients from controlled clinical trials |
| title_fullStr | Predicting long-term outcome after acute ischemic stroke:
a simple index works in patients from controlled clinical trials |
| title_full_unstemmed | Predicting long-term outcome after acute ischemic stroke:
a simple index works in patients from controlled clinical trials |
| title_short | Predicting long-term outcome after acute ischemic stroke:
a simple index works in patients from controlled clinical trials |
| title_sort | predicting long-term outcome after acute ischemic stroke:
a simple index works in patients from controlled clinical trials |
| url | https://eprints.nottingham.ac.uk/890/ |