Seiffge, D. J. and Karagiannis, A. and Strbian, D. and Gensicke, H. and Peters, N. and Bonati, L. H. and Kotisaari, K. and Leppä, M. and KejdaScharler, J. and Tränka, C. and Ginsbach, P. and Tatlisumak, T. and Lyrer, P. A. and Engelter, S. T.. (2014) Simple variables predict miserable outcome after intravenous thrombolysis. European journal of neurology, Vol. 21, H. 2. S. 185191.
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Official URL: http://edoc.unibas.ch/dok/A6254413
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Abstract
To test the predictability of miserable outcome amongst ischaemic stroke patients receiving intravenous thrombolysis (IVT) based on a simple variables model (SVM) and to compare the model's predictive performance with that of an existing score which includes imaging and laboratory parameters (DRAGON).; The SVM consists of the parameters age, independence before stroke, normal Glasgow coma verbal score, able to lift arms and able to walk. In a derivation cohort (n = 1346) and a validation cohort (n = 638) of consecutive IVTtreated stroke patients, the probability estimated by SVM and the observed occurrence of miserable 3month outcome (modified Rankin score 56) were compared. The performances of SVM and the DRAGON score were compared. The area under the receiver operating curve (AUC) (95% confidence interval, CI) and the bootstrapping approach were used to compare the predictive performance.; The AUCs to predict miserable outcome in the derivation cohort were 0.807 (95% CI 0.7740.838) using the SVM and 0.822 (0.7900.850) using the DRAGON score (P = 0.3). For the validation cohort, AUCs were 0.786 (0.7420.829) for the SVM and 0.809 (0.7740.845) for the DRAGON score (P = 0.23). Only one patient with an SVM probability of <70% for miserable outcome in either cohort had a good outcome whilst 83% had a miserable outcome. An online SVM calculator to estimate the probability of miserable outcome for individual patients is available under http://www.unispitalbasel.ch/SVMTool.; The SVM was similar in accuracy to the DRAGON score for predicting miserable outcome after IVT. As these simple variables are available already at the prehospital stage, the SVM may facilitate and accelerate prehospital triage of patients at high risk for miserable outcome after IVT towards endovascular treatment.
Faculties and Departments:  09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) 09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Biostatistics > Bayesian Modelling and Analysis (Vounatsou) 

UniBasel Contributors:  Karagiannis, Alexios 
Item Type:  Article, refereed 
Article Subtype:  Research Article 
Bibsysno:  Link to catalogue 
Publisher:  Blackwell 
ISSN:  13515101 
Note:  Publication type according to Uni Basel Research Database: Journal article 
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Last Modified:  15 Aug 2014 07:16 
Deposited On:  15 Aug 2014 07:16 
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