Wang Jinjing, Gu Mengmeng, Xiao Lulu, Jiang Shiyi, Yin Dawei, He Ye, Wang Peng, Sun Wen, Liu Xinfeng
Department of Neurology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Front Aging Neurosci. 2022 Jun 29;14:902604. doi: 10.3389/fnagi.2022.902604. eCollection 2022.
Poststroke fatigue (PSF) is a common symptom in stroke survivors, yet its anatomical mechanism is unclear. Our study was aimed to identify which brain lesions are related to the PSF in patients with acute stroke.
Patients with first-ever acute ischemic stroke consecutively admitted from the first affiliated hospital of the University of Science and Technology of China (USTC) between January 2017 and June 2020. Fatigue was scored using the Fatigue Severity Scale. All the participants were assessed by 3.0 T brain MRI including diffusion-weighted imaging. The infarct lesions were delineated manually and transformed into a standard template. Voxel-based lesion-symptom mapping (VLSM) was applied to investigate the association between lesion location and the occurrence and severity of fatigue. The same analyses were carried out by flipping the left-sided lesions. Multivariate logistic regressions were applied to verify the associations.
Of the 361 patients with acute stroke, 142 (39.3%) patients were diagnosed with fatigue in the acute phase and 116 (35.8%) at 6 months after the index stroke. VLSM analysis indicated clusters in the right thalamus which was significantly associated with the occurrence and severity of PSF at 6-month follow-up. In contrast, no significant cluster was found in the acute phase of stroke. The flipped analysis did not alter the results. Multivariate logistic regression verified that lesion load in the right thalamus (OR 2.67, 95% CI 1.46-4.88) was an independent predictor of 6-month PSF.
Our findings indicated that lesions in the right thalamus increased the risk of fatigue symptoms 6 months poststroke.
中风后疲劳(PSF)是中风幸存者的常见症状,但其解剖学机制尚不清楚。我们的研究旨在确定哪些脑损伤与急性中风患者的PSF相关。
选取2017年1月至2020年6月期间在中国科学技术大学第一附属医院连续收治的首次急性缺血性中风患者。使用疲劳严重程度量表对疲劳进行评分。所有参与者均接受3.0T脑MRI检查,包括弥散加权成像。手动勾勒梗死灶并将其转换为标准模板。应用基于体素的损伤-症状映射(VLSM)来研究损伤位置与疲劳发生及严重程度之间的关联。通过翻转左侧病变进行相同的分析。应用多变量逻辑回归来验证这些关联。
在361例急性中风患者中,142例(39.3%)在急性期被诊断为疲劳,116例(35.8%)在中风发病后6个月被诊断为疲劳。VLSM分析表明右侧丘脑存在聚类,这与6个月随访时PSF的发生及严重程度显著相关。相比之下,在中风急性期未发现显著聚类。翻转分析未改变结果。多变量逻辑回归验证了右侧丘脑的损伤负荷(OR 2.67,95%CI 1.46 - 4.88)是6个月PSF的独立预测因素。
我们的研究结果表明,右侧丘脑的损伤增加了中风后6个月出现疲劳症状的风险。