Total Burden of Cerebral Small Vessel Disease on MRI May Predict Cognitive Impairment in Parkinson's Disease.

Total Burden of Cerebral Small Vessel Disease on MRI May Predict Cognitive Impairment in Parkinson's Disease.
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DOI:
10.3390/jcm11185381
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发表时间:
2022-09-14
影响因子:
3.9
通讯作者:
--
中科院分区:
医学2区
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(1)目的:探讨帕金森病(PD)患者脑小血管疾病(CSVD)总负担与认知功能的关系。(2)研究方法:本回顾性研究比较了122例PD患者的临床和神经影像学特征,以确定PD患者认知功能下降与CSVD总负荷之间的关系。所有患者均行脑MRI检查,并根据无症状腔隙性脑梗死(SLI)、脑微出血(CMB)、白色高信号(WMH)和血管周围间隙扩大(EPVS)评估其总CSVD负荷评分。采用简易精神状态检查量表(MMSE)评定认知功能。采用受试者工作特征(ROC)曲线和ROC曲线下面积(AUC)定量CSVD和PVH总负荷在区分PD伴或不伴认知损害患者中的准确性。(3)结果如下:PD伴认知功能障碍者SLI、CMB、室周高信号(PVH)、深白色高信号(DWMH)、基底节血管周围间隙扩大(BG-EPVS)及CSVD总分均显著高于无认知功能障碍者。CSVD总分与MMSE呈显著负相关(r =-0. 001)。483)。此外,CSVD和PVH的总负荷是PD认知功能损害的独立危险因素,ROC曲线结果证实了CSVD和PVH在区分PD认知功能损害和无认知功能损害患者方面具有良好的准确性。(4)结论:CSVD的总负担与PD患者的认知障碍密切相关。CSVD或PVH的总负担可预测PD患者的认知功能损害。
(1) Objective: to investigate the association between the total burden of cerebral small vessel disease (CSVD) and cognitive function in Parkinson’s disease (PD). (2) Methods: this retrospective study compared clinical and neuroimaging characteristics of 122 PD patients to determine the association between cognitive decline and total burden of CSVD in PD. All patients underwent brain MRI examinations, and their total CSVD burden scores were evaluated by silent lacunar infarction (SLI), cerebral microbleeds (CMB), white matter hyperintensities (WMH), and enlarged perivascular spaces (EPVS). The cognitive function was assessed by administering Mini-Mental State Examination (MMSE). Receiver-operating characteristic (ROC) curve and the area under the ROC curve (AUC) were performed to quantify the accuracy of the total burden of CSVD and PVH in discriminating PD patients with or without cognitive impairment. (3) Results: the PD patients with cognitive impairment had a significantly higher SLI, CMB, periventricular hyperintensities (PVH), deep white matter hyperintensities (DWMH), enlarged perivascular spaces of basal ganglia (BG-EPVS), and the total CSVD score compared with no cognitive impairment. Total CSVD score and MMSE had a significant negative correlation (r = −0. 483). Furthermore, total burden of CSVD and PVH were the independent risk factors of cognitive impairment in PD, and their good accuracy in discriminating PD patients with cognitive impairment from those with no cognitive impairment was confirmed by the results of ROC curves. (4) Conclusions: total burden of CSVD tightly linked to cognitive impairment in PD patients. The total burden of CSVD or PVH may predict the cognitive impairment in PD.
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