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Simple variables predict miserable outcome after intravenous thrombolysis
- Source :
- European Journal of Neurology. 21:185-191
- Publication Year :
- 2013
- Publisher :
- Wiley, 2013.
-
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 IVT-treated stroke patients, the probability estimated by SVM and the observed occurrence of miserable 3-month outcome (modified Rankin score 5-6) 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 0.774-0.838) using the SVM and 0.822 (0.790-0.850) using the DRAGON score (P = 0.3). For the validation cohort, AUCs were 0.786 (0.742-0.829) for the SVM and 0.809 (0.774-0.845) for the DRAGON score (P = 0.23). Only one patient with an SVM probability of
- Subjects :
- Male
medicine.medical_specialty
medicine.medical_treatment
information science
Severity of Illness Index
Brain Ischemia
Fibrinolytic Agents
Predictive Value of Tests
Internal medicine
medicine
Humans
Thrombolytic Therapy
Treatment Failure
Endovascular treatment
Aged
Aged, 80 and over
Receiver operating characteristic
business.industry
Modified rankin score
Glasgow Coma Scale
Thrombolysis
Middle Aged
Prognosis
Triage
Confidence interval
Surgery
Stroke
Neurology
Tissue Plasminogen Activator
Cohort
Female
Neurology (clinical)
business
Subjects
Details
- ISSN :
- 13515101
- Volume :
- 21
- Database :
- OpenAIRE
- Journal :
- European Journal of Neurology
- Accession number :
- edsair.doi.dedup.....97e1e1f44dba008fbd10cb4f40f70e27
- Full Text :
- https://doi.org/10.1111/ene.12254