Literature DB >> 27412072

Language features in the acute phase of poststroke severe aphasia could predict the outcome.

Bertrand Glize1, Marie Villain2, Laura Richert3, Maeva Vellay4, Isabelle de Gabory2, Jean-Michel Mazaux4, Patrick Dehail4, Igor Sibon2, Marina Laganaro5, Pierre-Alain Joseph4.   

Abstract

BACKGROUND: Aphasia recovery remains difficult to predict initially in particular for the most severe cases. The features of impaired verbal communication which are the basis for cognitive-linguistic diagnosis and treatment could be part of prediction of recovery from aphasia. AIM: This study investigated whether some components of language screening in the acute phase of stroke are reliable prognostic factors for language recovery in the post-acute phase.
DESIGN: Monocentric prospective study.
SETTING: University hospital stroke unit. POPULATION: Eighty-six patients aged between 21 and 92 years (mean=67.4, SD=15.3) were admitted after a first left hemisphere stroke with aphasia and were consecutively included.
METHODS: Language assessment was performed in the acute phase and 3 months post-stroke with the LAnguage Screening Test (LAST) and the Aphasia Severity Rating Scale (ASRS) of the Boston Diagnostic Aphasia Examination (BDAE). Severe aphasia was defined as ASRS<3. Good recovery was defined as an ASRS≥4. Language scores and other potential predictors of recovery were analysed by comparing groups of patients with good versus poor recovery and as predictors of change with multiple regression approaches.
RESULTS: LAST Total score as well as all the individual items of LAST, NIHSS and ASRS measured in the acute phase significantly differentiated good and poor recovery from aphasia at three months for all aphasic patients and for the most severe cases. In multivariable analyses the repetition score of LAST at the acute phase was significantly associated with the delta of ASRS between the acute phase and 3 months after the stroke reflecting changes in symptom severity.
CONCLUSIONS: For patients with initial severe aphasia, word repetition from a language screening task seems to be a more relevant predictor of recovery than initial severity to enrich the prognosis of poststroke aphasia recovery three month after a stroke. These findings show the importance of phonological perception and production as well as speech motor components in the recovery of language. These linguistic aspects of the assessment seem more relevant than severity for prediction in the acute phase. CLINICAL REHABILITATION IMPACT: These findings could improve aphasia management pathway for people with severe aphasia and their families and minimize the evidence-practice gap for speech pathologists.

Entities:  

Mesh:

Year:  2016        PMID: 27412072     DOI: 10.23736/S1973-9087.16.04255-6

Source DB:  PubMed          Journal:  Eur J Phys Rehabil Med        ISSN: 1973-9087            Impact factor:   2.874


  7 in total

1.  Aphasia outcome: the interactions between initial severity, lesion size and location.

Authors:  Sarah Benghanem; Charlotte Rosso; Céline Arbizu; Eric Moulton; Didier Dormont; Anne Leger; Christine Pires; Yves Samson
Journal:  J Neurol       Date:  2019-02-28       Impact factor: 4.849

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

Authors:  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
Journal:  BMC Neurol       Date:  2018-10-15       Impact factor: 2.474

3.  Follow-Up in Aphasia Caused by Acute Stroke in a Prospective, Randomized, Clinical, and Experimental Controlled Noninvasive Study With an iPad-Based App (Neolexon®): Study Protocol of the Lexi Study.

Authors:  Dennis C Thunstedt; Peter Young; Clemens Küpper; Katharina Müller; Regina Becker; Franziska Erbert; Katharina Lehner; Marika Rheinwald; Angelika Pfahler; Marianne Dieterich; Lars Kellert; Katharina Feil
Journal:  Front Neurol       Date:  2020-04-30       Impact factor: 4.003

4.  Neurophysiological predictors of aphasia recovery in patients with large left-hemispheric infarction: a mismatch negativity study.

Authors:  Qing-Xia Jia; Ying-Ying Su; Gang Liu; Zhong-Yun Chen
Journal:  Chin Med J (Engl)       Date:  2019-10-05       Impact factor: 2.628

Review 5.  Diagnosis and differential diagnosis flow diagram of Chinese post-stroke aphasia types and treatment of post-stroke aphasia.

Authors:  Yinhua Wang; Wanliang Du; Xiaona Yang; Jun Yan; Wei Sun; Jing Bai; Jiong Zhou; Aihong Zhou; Jianping Niu; Chuanling Li; Jian Wang
Journal:  Aging Med (Milton)       Date:  2021-11-26

6.  Deep Learning Approach Using Diffusion-Weighted Imaging to Estimate the Severity of Aphasia in Stroke Patients.

Authors:  Soo Jeong; Eun-Jae Lee; Yong-Hwan Kim; Jin Cheol Woo; On-Wha Ryu; Miseon Kwon; Sun U Kwon; Jong S Kim; Dong-Wha Kang
Journal:  J Stroke       Date:  2022-01-31       Impact factor: 6.967

7.  Predicting Early Post-stroke Aphasia Outcome From Initial Aphasia Severity.

Authors:  Alberto Osa García; Simona Maria Brambati; Amélie Brisebois; Marianne Désilets-Barnabé; Bérengère Houzé; Christophe Bedetti; Elizabeth Rochon; Carol Leonard; Alex Desautels; Karine Marcotte
Journal:  Front Neurol       Date:  2020-02-21       Impact factor: 4.003

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.