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预测中风后失语症长期恢复的因素。

Factors predicting long-term recovery from post-stroke aphasia.

作者信息

Harvey Denise Y, Parchure Shreya, Hamilton Roy H

机构信息

Department of Neurology, University of Pennsylvania, Philadelphia, PA.

Moss Rehabilitation Research Institute, Elkins Park, PA.

出版信息

Aphasiology. 2022;36(11):1351-1372. doi: 10.1080/02687038.2021.1966374. Epub 2021 Aug 24.

Abstract

BACKGROUND

It remains widely accepted that spontaneous recovery from aphasia is largely limited to the first related factors. This has direct implications for acute and chronic interventions for aphasia. few months following stroke. A few recent studies challenge this view, revealing that some individuals' language abilities improve even during the chronic stage.

AIMS

To identify prognostic indicators of long-term aphasia recovery.

METHODS & PROCEDURES: Eighteen people with aphasia initially evaluated in the chronic stage were retested at least one year later. The Western Aphasia Battery-Revised (WAB-R) Aphasia Quotient (AQ) was used to quantify changes in language impairment. Prognostic factors included those related to the patient (demographic, psychosocial), stroke (lesion volume and location), and treatment (medical, rehabilitative).

OUTCOMES & RESULTS: Twelve participants improved and 6 remained stable or declined. Linear regression analysis revealed that lesion volume predicted long-term language gains, with smaller lesions yielding greater improvements. Individuals who did not improve were more likely to have lesions encompassing critical frontal and temporoparietal cortical regions and interconnecting white matter pathways. Exploratory regression analysis of psychosocial and treatment-related factors revealed a positive relationship between improvement and satisfaction with life participation, and a negative relationship between improvement and perceived impairment severity. Critically, psychosocial and treatment-related factors significantly improved model fit over lesion volume, suggesting that these factors add predictive value to determining long-term aphasia prognosis.

CONCLUSIONS

Long-term aphasia recovery is multidetermined by a combination of stroke-, psychosocial-, and treatment-related factors. This has direct implications for acute and chronic interventions for aphasia.

摘要

背景

人们普遍认为,失语症的自发恢复在很大程度上仅限于中风后的头几个月,这对失语症的急性和慢性干预具有直接影响。最近的一些研究对这一观点提出了挑战,表明即使在慢性阶段,一些人的语言能力也会有所改善。

目的

确定长期失语症恢复的预后指标。

方法与过程

对18名最初在慢性阶段接受评估的失语症患者至少一年后进行重新测试。使用西方失语症成套测验修订版(WAB-R)失语症商数(AQ)来量化语言障碍的变化。预后因素包括与患者相关的因素(人口统计学、心理社会因素)、中风相关因素(病变体积和位置)以及治疗相关因素(医学、康复治疗)。

结果

12名参与者有所改善,6名保持稳定或病情恶化。线性回归分析显示,病变体积可预测长期语言恢复情况,病变越小,改善越明显。未改善的个体更有可能出现累及关键额叶和颞顶叶皮质区域以及相互连接的白质通路的病变。对心理社会因素和治疗相关因素的探索性回归分析显示,改善与生活参与满意度之间呈正相关,与感知到的损伤严重程度之间呈负相关。至关重要的是,心理社会因素和治疗相关因素在模型拟合方面比病变体积有显著改善,这表明这些因素在确定长期失语症预后方面具有额外的预测价值。

结论

长期失语症恢复是由中风、心理社会和治疗相关因素共同多因素决定的。这对失语症的急性和慢性干预具有直接影响。

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本文引用的文献

1
Association of Lesion Location With Long-Term Recovery in Post-stroke Aphasia and Language Deficits.
Front Neurol. 2019 Jul 24;10:776. doi: 10.3389/fneur.2019.00776. eCollection 2019.
2
Leukoaraiosis Is Associated With a Decline in Language Abilities in Chronic Aphasia.
Neurorehabil Neural Repair. 2019 Sep;33(9):718-729. doi: 10.1177/1545968319862561. Epub 2019 Jul 17.
3
Neuroplasticity of Language Networks in Aphasia: Advances, Updates, and Future Challenges.
Front Neurol. 2019 Apr 2;10:295. doi: 10.3389/fneur.2019.00295. eCollection 2019.
4
Progression of Aphasia Severity in the Chronic Stages of Stroke.
Am J Speech Lang Pathol. 2019 May 27;28(2):639-649. doi: 10.1044/2018_AJSLP-18-0123. Epub 2019 Apr 8.
5
Predicting recovery in acute poststroke aphasia.
Ann Neurol. 2018 Mar;83(3):612-622. doi: 10.1002/ana.25184. Epub 2018 Mar 10.
6
Behavioural clusters and predictors of performance during recovery from stroke.
Nat Hum Behav. 2017;1. doi: 10.1038/s41562-016-0038. Epub 2017 Feb 17.
7
Long-term Recovery in Stroke Accompanied by Aphasia: A Reconsideration.
Aphasiology. 2017;31(2):152-165. doi: 10.1080/02687038.2016.1184221. Epub 2016 May 27.
10
The Prognosis and Recovery of Aphasia Related to Stroke Lesion.
Ann Rehabil Med. 2016 Oct;40(5):786-793. doi: 10.5535/arm.2016.40.5.786. Epub 2016 Oct 31.

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