Validation of a prediction model for long-term outcome of aphasia after stroke

Autor: Femke Nouwens, Evy G. Visch-Brink, Hanane El Hachioui, Hester F. Lingsma, Mieke W. M. E. van de Sandt-Koenderman, Diederik W. J. Dippel, Peter J. Koudstaal, Lonneke M. L. de Lau
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: BMC Neurology, Vol 18, Iss 1, Pp 1-9 (2018)
Druh dokumentu: article
ISSN: 1471-2377
DOI: 10.1186/s12883-018-1174-5
Popis: Abstract Background About 30% of stroke patients suffer from aphasia. As aphasia strongly affects daily life, most patients request a prediction of outcome of their language function. Prognostic models provide predictions of outcome, but external validation is essential before models can be used in clinical practice. We aim to externally validate the prognostic model from the Sequential Prognostic Evaluation of Aphasia after stroKe (SPEAK-model) for predicting the long-term outcome of aphasia caused by stroke. Methods We used data from the Rotterdam Aphasia Therapy Study – 3 (RATS-3), a multicenter RCT with inclusion criteria similar to SPEAK, an observational prospective study. Baseline assessment in SPEAK was four days after stroke and in RATS-3 eight days. Outcome of the SPEAK-model was the Aphasia Severity Rating Scale (ASRS) at 1 year, dichotomized into good (ASRS-score of 4 or 5) and poor outcome (ASRS-score
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