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失语症结局:初始严重程度、病变大小和位置的相互作用。

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

机构信息

APHP-Urgences Cérébro-Vasculaires, Hôpital Pitié-Salpêtrière, 83 Boulevard de l'Hôpital, 75013, Paris, France.

Inserm U 1127, CNRS UMR 7225, Sorbonne Université, UPMC Univ Paris 06 UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, 75013, Paris, France.

出版信息

J Neurol. 2019 Jun;266(6):1303-1309. doi: 10.1007/s00415-019-09259-3. Epub 2019 Feb 28.

DOI:10.1007/s00415-019-09259-3
PMID:30820740
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.

摘要

目的

在中重度脑卒中患者中,3 个月时的失语症结果是可变的。本研究旨在通过预测模型预测 3 个月时的失语症结局,该模型包括初始严重程度以及急性期时病变大小和位置之间的相互作用。

方法

纳入了在第 7 天快速失语症筛查(day 7-ART D7)时患有卒中后失语症(通过快速失语症筛查评估)且在第 1 天进行 MRI 检查的患者(n=73)。3 个月时的良好结局定义为失语症残疾评分(Aphasia Handicap Score)为 0-2。将每个梗死病灶与左颞顶区的感兴趣区域重叠,以计算相交指数(病灶损伤的关键区域的比例)。我们在单变量分析中测试了 D7-ART、年龄、病灶体积和相交指数以及病灶体积*相交的综合变量。然后,我们进行了多变量分析,以调查哪些变量是良好结局的独立预测因素。

结果

D7-ART、梗死体积和相交指数是良好结局的单变量预测因素。在多变量分析中,D7-ART 和“体积≥50ml 或相交指数≥20%”正确分类了 89%的患者(p<0.0001)。当将其添加到模型中时,两个变量之间的相互作用具有统计学意义,表明大小或部位变量的影响取决于初始失语症的严重程度。

结论

在初始严重失语症患者中,较大的梗死体积或左侧颞顶交界处的关键损伤与 3 个月时的语言结局不良相关。

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Predicting language outcomes after stroke: Is structural disconnection a useful predictor?预测脑卒中后的语言预后:结构失连接是否是一个有用的预测指标?
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[Aphasia Rapid Test: Translation, Adaptation and Validation Studies for the Portuguese Population].[失语症快速测试:针对葡萄牙人群的翻译、改编及验证研究]
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Multivariate lesion symptom mapping for predicting trajectories of recovery from aphasia.用于预测失语症恢复轨迹的多变量病变症状映射
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