Liu Bin, Zhao Guifeng, Jin Ling, Shi Jingping
Department of Geriatrics, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing Brain Hospital, Nanjing, China.
Department Key Laboratory of Research and Application of Animal Models for Environmental and Metabolic Diseases, Sheng Jing Hospital of China Medical University, Shenyang, China.
Front Neurol. 2021 Feb 11;12:579281. doi: 10.3389/fneur.2021.579281. eCollection 2021.
Impaired gait and balance are associated with severity of leukoaraiosis. Evaluation of balance is based on neurological examination using Romberg's test with bipedal standing, assessment scale, and posturographic parameters. The goal of this study was to determine the relationship between static equilibrium and grades of white matter hyperintensities (WMHs) using static posturography as a quantitative technical method. One hundred and eighteen (118) patients with lacunar infarct were recruited and assessed on MRI with Fazekas's grading scale into four groups. On admission, age, gender, height, weight, Berg Balance Scale (BBS), mini-mental state examination (MMSE), and static posturography parameters were recorded, and their correlations with WMHs were determined. Age was significantly and positively correlated with severity of WMHs ( = 0.39, < 0.05). WMH score was negatively correlated with BBS score ( = -0.65, < 0.05) and MMSE score ( = -0.79, < 0.05). There was a significant positive correlation between track length anteroposterior (AP, with eyes closed) and severity of WMHs ( = 0.70, < 0.05). Partial correlation analysis and multiple logistic regression analysis indicated that track length AP with eyes closed, was a predictor for the severity of WMHs (< 0.05). The severity of WHMs is associated with age, cognitive decline, and impairment in balance. Posturography parameter in track length in AP direction with eyes closed in relation to cognition and balance, may be a potential marker for disease progression in WMHs.
步态和平衡受损与脑白质疏松症的严重程度相关。平衡评估基于神经系统检查，采用双足站立的罗姆伯格试验、评估量表和姿势描记参数。本研究的目的是使用静态姿势描记法作为一种定量技术方法，确定静态平衡与白质高信号（WMH）分级之间的关系。招募了118例腔隙性脑梗死患者，并根据 Fazekas 分级量表在 MRI 上评估为四组。入院时，记录年龄、性别、身高、体重、伯格平衡量表（BBS）、简易精神状态检查（MMSE）和静态姿势描记参数，并确定它们与 WMH 的相关性。年龄与 WMH 的严重程度呈显著正相关（= 0.39，< 0.05）。WMH 评分与 BBS 评分呈负相关（= -0.65，< 0.05），与 MMSE 评分呈负相关（= -0.79，< 0.05）。前后径轨迹长度（闭眼时）与 WMH 的严重程度呈显著正相关（= 0.70，< 0.05）。偏相关分析和多元逻辑回归分析表明，闭眼时的前后径轨迹长度是 WMH 严重程度的预测指标（< 0.05）。WMH 的严重程度与年龄、认知功能下降和平衡受损有关。闭眼时 AP 方向轨迹长度的姿势描记参数与认知和平衡有关，可能是 WMH 疾病进展的潜在标志物。
