Haldin Célise, Dai Shenhao, Piscicelli Céline, Marcon Valérie, Lœvenbruck Hélène, Pérennou Dominic, Baciu Monica
CNRS, LPNC, Université Grenoble Alpes, Université Savoie Mont Blanc, Grenoble, France.
Neurorehabilitation Department, Institute of Rehabilitation, Grenoble Alpes University Hospital, Grenoble, France.
J Neuropsychol. 2025 Jun;19(2):256-273. doi: 10.1111/jnp.12406. Epub 2024 Dec 23.
Understanding the relative contribution of various factors influencing initial severity of aphasia and recovery after a stroke is essential for optimising neurorehabilitation programmes. We investigated how various significant sociodemographic, cognitive, clinical, stroke-related and rehabilitation-related factors modulate aphasia severity and language recovery following left-hemispheric stroke. Employing an innovative method, we conducted a retrospective analysis of 96 stroke participants to explore the combined impact of these factors. The initial severity of aphasia was categorised into severe, mild/moderate and no aphasia based on the severity of their language deficits in the subacute phase (Aphasia Severity Rating Scale, ASRS). To assess speech-and-language recovery, we classified 53/96 patients with aphasia into high and poor recovery categories using a gain score formula (ASRS_discharge-ASRS_admission)/ASRS_admission. Subsequently, we performed statistical analyses (univariate analyses and forward stepwise logistic regression combined with bootstrap) to identify the determinants of the initial severity of aphasia and the degree of recovery. Our analyses unveiled that more severe aphasia initially was correlated with a more severe stroke (Odds Ratio, OR = .90, p = .041), moderate/severe executive dysfunction (OR = .068, p < .001) and larger lesion size (OR = .068, p < .001). Furthermore, the degree of recovery was associated with the intensity of speech-and-language therapy (OR = 1.47, p = .043). These findings enrich our understanding of the determinants of aphasia severity and language recovery, employing an original methodology to scrutinise the collective effect of multiple variables in a retrospective analysis of stroke participants. A better knowledge of these factors may help implement personalised language rehabilitation programmes to maximise speech-and-language recovery.
了解影响失语症初始严重程度及中风后恢复情况的各种因素的相对作用,对于优化神经康复计划至关重要。我们研究了各种重要的社会人口统计学、认知、临床、中风相关及康复相关因素如何调节左半球中风后的失语症严重程度和语言恢复情况。我们采用一种创新方法,对96名中风参与者进行了回顾性分析,以探究这些因素的综合影响。根据亚急性期语言缺陷的严重程度(失语症严重程度评定量表,ASRS),将失语症的初始严重程度分为重度、轻度/中度和无失语症。为评估言语和语言恢复情况,我们使用增益评分公式(ASRS出院时评分 - ASRS入院时评分)/ASRS入院时评分,将96名失语症患者中的53名分为恢复良好和恢复较差两类。随后,我们进行了统计分析(单变量分析以及结合自助法的向前逐步逻辑回归),以确定失语症初始严重程度和恢复程度的决定因素。我们的分析表明,最初更严重的失语症与更严重的中风相关(优势比,OR = 0.90,p = 0.041)、中度/重度执行功能障碍(OR = 0.068,p < 0.001)以及更大的病灶大小(OR = 0.068,p < 0.001)。此外,恢复程度与言语和语言治疗的强度相关(OR = 1.47,p = 0.043)。这些发现丰富了我们对失语症严重程度和语言恢复决定因素的理解,采用了一种原始方法在中风参与者的回顾性分析中仔细研究多个变量的综合作用。更好地了解这些因素可能有助于实施个性化的语言康复计划,以最大限度地促进言语和语言恢复。