PDF(Pubmed)
Abstract：
UNASSIGNED: Arteriosclerotic cerebral small vessel disease (aCSVD) is a cause of cognitive impairment, dementia, and stroke. Developing a better understanding of the risk factor of aCSVD is key to reducing the incidence of these conditions. This study investigated the association between intracranial arterial calcification (IAC) and total cerebral small vessel disease (CSVD) burden score.
UNASSIGNED: This is a retrospective study, the subjects were transient ischemic attack (TIA) or acute ischemic stroke (AIS) patients. The data of 303 inpatients admitted to our study hospital between December 2018 and July 2020 were analyzed. Four imaging markers of CSVD (lacunes, white matter hyperintensities, cerebral microbleeds, and enlarged perivascular spaces) were evaluated by magnetic resonance imaging, and a total CSVD burden score was calculated. The experimental group was divided into four subgroups according to total CSVD burden score (1-4 points). Patients without CSVD (0 points) served as the control group. Head computerized tomography (CT) scans were used to assess ICA, using Babiarz\'s method. The correlations between IAC and single imaging markers of CSVD were determined using Spearman\'s rank correlation. Binary logic regression analysis and multivariate ordered logic regression analysis were used to determine the associations between IAC and aCSVD.
UNASSIGNED: IAC was positively correlated with total CSVD burden score (r = 0.681), deep white matter hyperintensities (r = 0.539), periventricular white matter hyperintensities (r = 0.570), cerebral microbleeds (r = 0.479), lacunes (r = 0.541), and enlarged perivascular spaces (r = 0.554) (all p < 0.001). After adjusting for the confounding factors of age, diabetes, and hypertension, aCSVD was independently associated with IAC grade 1-2 [odds ratio (OR) = 23.747, 95% confidence interval (CI) = 8.376-67.327] and IAC grade 3-4 (OR = 30.166, 95% CI = 8.295-109.701). aCSVD severity was independently associated with IAC grade 3-4 (OR = 4.697, 95% CI = 1.349-16.346).
UNASSIGNED: IAC is associated with the total CSVD burden score and single imaging signs.
UNASSIGNED: This is a retrospective study, the subjects were transient ischemic attack (TIA) or acute ischemic stroke (AIS) patients. The data of 303 inpatients admitted to our study hospital between December 2018 and July 2020 were analyzed. Four imaging markers of CSVD (lacunes, white matter hyperintensities, cerebral microbleeds, and enlarged perivascular spaces) were evaluated by magnetic resonance imaging, and a total CSVD burden score was calculated. The experimental group was divided into four subgroups according to total CSVD burden score (1-4 points). Patients without CSVD (0 points) served as the control group. Head computerized tomography (CT) scans were used to assess ICA, using Babiarz\'s method. The correlations between IAC and single imaging markers of CSVD were determined using Spearman\'s rank correlation. Binary logic regression analysis and multivariate ordered logic regression analysis were used to determine the associations between IAC and aCSVD.
UNASSIGNED: IAC was positively correlated with total CSVD burden score (r = 0.681), deep white matter hyperintensities (r = 0.539), periventricular white matter hyperintensities (r = 0.570), cerebral microbleeds (r = 0.479), lacunes (r = 0.541), and enlarged perivascular spaces (r = 0.554) (all p < 0.001). After adjusting for the confounding factors of age, diabetes, and hypertension, aCSVD was independently associated with IAC grade 1-2 [odds ratio (OR) = 23.747, 95% confidence interval (CI) = 8.376-67.327] and IAC grade 3-4 (OR = 30.166, 95% CI = 8.295-109.701). aCSVD severity was independently associated with IAC grade 3-4 (OR = 4.697, 95% CI = 1.349-16.346).
UNASSIGNED: IAC is associated with the total CSVD burden score and single imaging signs.
摘要：
■动脉硬化性脑小血管病(aCSVD)是认知障碍的一个原因,痴呆症,和中风。更好地了解aCSVD的危险因素是降低这些疾病发生率的关键。这项研究调查了颅内动脉钙化（IAC）与全脑小血管疾病（CSVD）负担评分之间的关系。
■这是一项回顾性研究，受试者为短暂性脑缺血发作(TIA)或急性缺血性卒中(AIS)患者.分析了2018年12月至2020年7月入住我们研究医院的303名住院患者的数据。CSVD的四种成像标记（空洞，白质高强度，脑微出血,和扩大的血管周围空间）通过磁共振成像进行评估，并计算CSVD总负担评分.实验组根据CSVD总负荷评分(1-4分)分为4个亚组。无CSVD(0分)的患者作为对照组。头部计算机断层扫描（CT）扫描用于评估ICA，使用Babiarz的方法。使用Spearman等级相关确定IAC与CSVD单个成像标记之间的相关性。使用二元逻辑回归分析和多变量有序逻辑回归分析来确定IAC和aCSVD之间的关联。
■IAC与CSVD总负担评分呈正相关（r=0.681），深白质高强度(r=0.539)，脑室周围白质高信号（r=0.570），脑微出血（r=0.479），lacunes(r=0.541),血管周围间隙增大（r=0.554）（所有p<0.001）。在调整了年龄的混杂因素后，糖尿病,和高血压，aCSVD与IAC1-2级[比值比(OR)=23.747,95%置信区间(CI)=8.376-67.327]和IAC3-4级(OR=30.166,95%CI=8.295-109.701)独立相关。aCSVD严重程度与IAC3-4级独立相关(OR=4.697,95%CI=1.349-16.346)。
■IAC与CSVD总负担评分和单个影像学征象相关。
■这是一项回顾性研究，受试者为短暂性脑缺血发作(TIA)或急性缺血性卒中(AIS)患者.分析了2018年12月至2020年7月入住我们研究医院的303名住院患者的数据。CSVD的四种成像标记（空洞，白质高强度，脑微出血,和扩大的血管周围空间）通过磁共振成像进行评估，并计算CSVD总负担评分.实验组根据CSVD总负荷评分(1-4分)分为4个亚组。无CSVD(0分)的患者作为对照组。头部计算机断层扫描（CT）扫描用于评估ICA，使用Babiarz的方法。使用Spearman等级相关确定IAC与CSVD单个成像标记之间的相关性。使用二元逻辑回归分析和多变量有序逻辑回归分析来确定IAC和aCSVD之间的关联。
■IAC与CSVD总负担评分呈正相关（r=0.681），深白质高强度(r=0.539)，脑室周围白质高信号（r=0.570），脑微出血（r=0.479），lacunes(r=0.541),血管周围间隙增大（r=0.554）（所有p<0.001）。在调整了年龄的混杂因素后，糖尿病,和高血压，aCSVD与IAC1-2级[比值比(OR)=23.747,95%置信区间(CI)=8.376-67.327]和IAC3-4级(OR=30.166,95%CI=8.295-109.701)独立相关。aCSVD严重程度与IAC3-4级独立相关(OR=4.697,95%CI=1.349-16.346)。
■IAC与CSVD总负担评分和单个影像学征象相关。
