Liao Zhangyuan, Dang Chun, Li Meijie, Bu Yali, Han Ranran, Jiang Wei
Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.
Tianjin Neurological Institute, Key Laboratory of Post-neurotrauma Neuro-repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin, China.
J Int Med Res. 2019 Nov;47(11):5723-5731. doi: 10.1177/0300060519863520. Epub 2019 Jul 25.
This study was performed to determine whether multimodal biomarkers are more strongly associated with the Montreal Cognitive Assessment (MoCA) scores compared with the Mini-Mental State Examination (MMSE) scores, and whether they are correlated with the Clinical Dementia Rating (CDR) in patients with subcortical ischemic vascular dementia (SIVD).
Patients diagnosed with SIVD were enrolled. Peripheral blood hypersensitive C-reactive protein, white matter lesion volume (WMLV), fractional anisotropy (FA)/mean diffusivity (MD) of whole brain white matter (WBWM), and normal-appearing white matter (NAWM) were measured and correlated with MMSE, MoCA, and CDR scores.
Bivariate analyses of data from 48 included patients revealed that both MoCA and MMSE were significantly associated with age, education, and FA of NAWM. Only MD of NAWM was correlated with MoCA scores. In partial correlation analysis adjusted for demographic and neuroimaging variables, MD/FA of NAWM and the MoCA scores were significantly correlated. FA/MD of NAWM had a modest trend toward a correlation with the CDR, but it was not significant.
In the patients with SIVD, FA/MD of NAWM were more strongly related to MoCA scores compared with MMSE scores.
本研究旨在确定与简易精神状态检查表(MMSE)评分相比,多模态生物标志物是否与蒙特利尔认知评估(MoCA)评分的相关性更强,以及它们是否与皮质下缺血性血管性痴呆(SIVD)患者的临床痴呆评定量表(CDR)相关。
纳入诊断为SIVD的患者。测量外周血超敏C反应蛋白、白质病变体积(WMLV)、全脑白质(WBWM)和正常白质(NAWM)的各向异性分数(FA)/平均扩散率(MD),并将其与MMSE、MoCA和CDR评分进行相关性分析。
对48例纳入患者的数据进行双变量分析显示,MoCA和MMSE均与年龄、教育程度及NAWM的FA显著相关。仅NAWM的MD与MoCA评分相关。在对人口统计学和神经影像学变量进行校正的偏相关分析中,NAWM的MD/FA与MoCA评分显著相关。NAWM的FA/MD与CDR有适度的相关趋势,但不显著。
在SIVD患者中,与MMSE评分相比,NAWM的FA/MD与MoCA评分的相关性更强。