Abstract
Background:: Language disturbance is a common symptom of stroke, a prompt identifier of the event, and can cause devastating cognitive impairments. There are many inconsistencies and discrepancies between the different methods used for its evaluation. The relationship between Western Aphasia Battery (WAB) and a simple bedside clinical examination is not clear. Aim:: The aim of this study is to determine if bedside clinical impression of aphasia type can reliably predict WAB classification of aphasia and to describe the discrepancies between them. Materials and Methods:: Eighty-two consecutive cases of acute ischemic stroke and aphasia were evaluated with bedside aphasia assessment, handedness by Edinburgh Handedness Inventory and WAB scoring was done. Kappa statistics was used to find the overall agreement of clinical impression and WAB. Results:: Disagreement was seen predominantly for the nonfluent aphasias when the clinical impression was compared with WAB classification. WAB also had diagnosed three cases as having anomic aphasia using taxonomic classification, but same cases had normal language by aphasia quotient scoring of WAB. There was an overall agreement of 63.4% between patient's bedside clinical impression and WAB classification of aphasia, with a P < 0.001. Conclusion:: Clinical impression was fairly reliable, as compared to WAB in assessing the type of aphasia. Clinical impression was appropriate in an acute setting, but WAB was required to quantify the severity of deficit, which may help in accessing prognosis, monitoring progression, and rehabilitation planning. Along with WAB, a bedside clinical impression should be done for all the patients to strengthen the description of aphasic deficit.
Copyright
Association for Helping Neurosurgical Sick People. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-Non Derivative-Non Commercial License, permitting copying and reproduction so long as the original work is given appropriate credit.
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This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited.
