Yunyun Xiong1, Adrian Wong2, Kelvin Wong3, Winnie C W Chu4, Xintao Hu3, Xiangyan Chen5, Ka Sing Wong5, Stephen T C Wong3, Xinfeng Liu6, Vincent Mok7. 1. Department of Neurology, Jinling Hospital, Nanjing University School of Medicine, 305# East Zhongshan Road, Nanjing, Jiangsu Province, People's Republic of China; Department of Psychological Studies and Center for Psychosocial Health and Aging, The Hong Kong Institute of Education, China. 2. Department of Psychological Studies and Center for Psychosocial Health and Aging, The Hong Kong Institute of Education, China. 3. Bioinformatics and Imaging Programmatic Cores, The Methodist Hospital Research Institute, Weill Cornell Medical College, Houston, TX, USA. 4. Department of Radiology and Organ Imaging, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, China. 5. Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, China. 6. Department of Neurology, Jinling Hospital, Nanjing University School of Medicine, 305# East Zhongshan Road, Nanjing, Jiangsu Province, People's Republic of China. 7. Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, China. Electronic address: vctmok@cuhk.edu.hk.
Abstract
BACKGROUND AND PURPOSE: Our previous study found that cortical gray matter (cGM) volume predicted vascular cognitive impairment independent of age-related white matter changes (WMC). We aimed to investigate predictors for cGM volume in ischemic stroke patients with confluent WMC. METHODS:One-hundred post-stroke patients with confluent WMC were recruited into the study. All volumetric measures were standardized by intracranial volume as volume ratio. Univariate analyses and multivariate linear regression models were used to test relationship of cGM volume with basic demography, vascular risk factors, APOE status, WMC volume (periventricular and deep WMC), infarct measures (volume, number and location) and microbleed (number, presence and location). RESULTS: After controlling for significant variables in the univariate analyses, multivariate linear regression models found that old age (β=-0.288, p=0.001), low triglyceride (β=0.194, p=0.027), periventricular WMC (PVWMC) (β=-0.392, p<0.001) and presence of thalamic microbleed (β=-0.197, p=0.041) were independently predictive of less cGM volume ratio. CONCLUSIONS: Age, PVWMC and left thalamic microbleed predict less cGM volume.
RCT Entities:
BACKGROUND AND PURPOSE: Our previous study found that cortical gray matter (cGM) volume predicted vascular cognitive impairment independent of age-related white matter changes (WMC). We aimed to investigate predictors for cGM volume in ischemic strokepatients with confluent WMC. METHODS: One-hundred post-strokepatients with confluent WMC were recruited into the study. All volumetric measures were standardized by intracranial volume as volume ratio. Univariate analyses and multivariate linear regression models were used to test relationship of cGM volume with basic demography, vascular risk factors, APOE status, WMC volume (periventricular and deep WMC), infarct measures (volume, number and location) and microbleed (number, presence and location). RESULTS: After controlling for significant variables in the univariate analyses, multivariate linear regression models found that old age (β=-0.288, p=0.001), low triglyceride (β=0.194, p=0.027), periventricular WMC (PVWMC) (β=-0.392, p<0.001) and presence of thalamic microbleed (β=-0.197, p=0.041) were independently predictive of less cGM volume ratio. CONCLUSIONS: Age, PVWMC and left thalamic microbleed predict less cGM volume.