Literature DB >> 30820740

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

Sarah Benghanem1, Charlotte Rosso1,2, Céline Arbizu1,3, Eric Moulton2, Didier Dormont2,4, Anne Leger1, Christine Pires1, Yves Samson5,6.   

Abstract

OBJECTIVES: The outcome of aphasia at 3 months is variable in patients with moderate/severe stroke. The aim was to predict 3-month aphasia outcome using prediction models including initial severity in addition to the interaction between lesion size and location at the acute phase.
METHODS: Patients with post-stroke aphasia (assessed by the Aphasia Rapid Test at day 7-ART D7) and MRI performed at day 1 were enrolled (n = 73). Good outcome at 3-months was defined by an Aphasia Handicap Score of 0-2. Each infarct lesion was overlapped with an area of interest in the left temporo-parietal region to compute an intersection index (proportion of the critical region damaged by the infarct). We tested ART D7, age, lesion volume, and intersection index as well as a combined variable lesion volume*intersection in a univariate analysis. Then, we performed a multivariate analysis to investigate which variables were independent predictors of good outcome.
RESULTS: ART at D7, infarct volume, and the intersection index were univariate predictors of good outcome. In the multivariate analysis, ART D7 and "volume ≥ 50 ml or intersection index ≥ 20%" correctly classified 89% of the patients (p < 0.0001). When added to the model, the interaction between both variables was significant indicating that the impact of the size or site variable depends on the initial severity of aphasia.
CONCLUSION: In patients with initially severe aphasia, large infarct size or critical damage in left temporoparietal junction is associated with poor language outcome at 3 months.

Entities:  

Keywords:  Aphasia; Magnetic resonance imaging; Prognosis

Mesh:

Year:  2019        PMID: 30820740     DOI: 10.1007/s00415-019-09259-3

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  30 in total

1.  Aphasia in acute stroke and relation to outcome.

Authors:  A C Laska; A Hellblom; V Murray; T Kahan; M Von Arbin
Journal:  J Intern Med       Date:  2001-05       Impact factor: 8.989

2.  Recovery patterns and prognosis in aphasia.

Authors:  A Kertesz; P McCabe
Journal:  Brain       Date:  1977-03       Impact factor: 13.501

3.  Aphasia after stroke: natural history and associated deficits.

Authors:  D T Wade; R L Hewer; R M David; P M Enderby
Journal:  J Neurol Neurosurg Psychiatry       Date:  1986-01       Impact factor: 10.154

Review 4.  Post-stroke aphasia prognosis: a review of patient-related and stroke-related factors.

Authors:  Emily Plowman; Brecken Hentz; Charles Ellis
Journal:  J Eval Clin Pract       Date:  2011-03-13       Impact factor: 2.431

5.  Aphasia in acute stroke: incidence, determinants, and recovery.

Authors:  P M Pedersen; H S Jørgensen; H Nakayama; H O Raaschou; T S Olsen
Journal:  Ann Neurol       Date:  1995-10       Impact factor: 10.422

6.  Long-term prognosis of aphasia after stroke.

Authors:  Hanane El Hachioui; Hester F Lingsma; Mieke W M E van de Sandt-Koenderman; Diederik W J Dippel; Peter J Koudstaal; Evy G Visch-Brink
Journal:  J Neurol Neurosurg Psychiatry       Date:  2012-10-31       Impact factor: 10.154

7.  Aphasia after stroke: type, severity and prognosis. The Copenhagen aphasia study.

Authors:  Palle Møller Pedersen; Kirsten Vinter; Tom Skyhøj Olsen
Journal:  Cerebrovasc Dis       Date:  2003-10-03       Impact factor: 2.762

8.  Improvement in aphasia scores after stroke is well predicted by initial severity.

Authors:  Ronald M Lazar; Brandon Minzer; Daniel Antoniello; Joanne R Festa; John W Krakauer; Randolph S Marshall
Journal:  Stroke       Date:  2010-06-10       Impact factor: 7.914

9.  Variability in language recovery after first-time stroke.

Authors:  R M Lazar; A E Speizer; J R Festa; J W Krakauer; R S Marshall
Journal:  J Neurol Neurosurg Psychiatry       Date:  2007-09-10       Impact factor: 10.154

10.  The Aphasia Rapid Test: an NIHSS-like aphasia test.

Authors:  C Azuar; A Leger; C Arbizu; F Henry-Amar; S Chomel-Guillaume; Y Samson
Journal:  J Neurol       Date:  2013-05-15       Impact factor: 4.849

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  9 in total

1.  Brain age predicts long-term recovery in post-stroke aphasia.

Authors:  Sigfus Kristinsson; Natalie Busby; Christopher Rorden; Roger Newman-Norlund; Dirk B den Ouden; Sigridur Magnusdottir; Haukur Hjaltason; Helga Thors; Argye E Hillis; Olafur Kjartansson; Leonardo Bonilha; Julius Fridriksson
Journal:  Brain Commun       Date:  2022-10-06

Review 2.  Predictors of Therapy Response in Chronic Aphasia: Building a Foundation for Personalized Aphasia Therapy.

Authors:  Sigfus Kristinsson; Dirk B den Ouden; Chris Rorden; Roger Newman-Norlund; Jean Neils-Strunjas; Julius Fridriksson
Journal:  J Stroke       Date:  2022-05-31       Impact factor: 8.632

3.  Cortical and Subcortical Control of Swallowing-Can We Use Information From Lesion Locations to Improve Diagnosis and Treatment for Patients With Stroke?

Authors:  Janina Wilmskoetter; Stephanie K Daniels; Arthur J Miller
Journal:  Am J Speech Lang Pathol       Date:  2020-07-10       Impact factor: 2.408

4.  German Language Adaptation of the NAVS (NAVS-G) and of the NAT (NAT-G): Testing Grammar in Aphasia.

Authors:  Ruth Ditges; Elena Barbieri; Cynthia K Thompson; Sandra Weintraub; Cornelius Weiller; Marek-Marsel Mesulam; Dorothee Kümmerer; Nils Schröter; Mariacristina Musso
Journal:  Brain Sci       Date:  2021-04-08

5.  Predicting language recovery in post-stroke aphasia using behavior and functional MRI.

Authors:  Michael Iorga; James Higgins; David Caplan; Richard Zinbarg; Swathi Kiran; Cynthia K Thompson; Brenda Rapp; Todd B Parrish
Journal:  Sci Rep       Date:  2021-04-19       Impact factor: 4.379

Review 6.  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

7.  Multimodal Neural and Behavioral Data Predict Response to Rehabilitation in Chronic Poststroke Aphasia.

Authors:  Anne Billot; Sha Lai; Maria Varkanitsa; Emily J Braun; Brenda Rapp; Todd B Parrish; James Higgins; Ajay S Kurani; David Caplan; Cynthia K Thompson; Prakash Ishwar; Margrit Betke; Swathi Kiran
Journal:  Stroke       Date:  2022-01-26       Impact factor: 10.170

8.  French Phonological Component Analysis and aphasia recovery: A bilingual perspective on behavioral and structural data.

Authors:  Michèle Masson-Trottier; Tanya Dash; Pierre Berroir; Ana Inés Ansaldo
Journal:  Front Hum Neurosci       Date:  2022-09-22       Impact factor: 3.473

9.  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

  9 in total

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