Cognition and Quality of Life in Symptomatic Carotid Occlusion.

Cognition and Quality of Life in Symptomatic Carotid Occlusion.
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有症状颈动脉闭塞的认知和生活质量。

DOI:
10.1016/j.jstrokecerebrovasdis.2019.05.007
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发表时间:
2019
期刊:
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
影响因子:
--
通讯作者:
Marshall,RandolphS
Marshall,RandolphS
中科院分区:
--
文献类型:
--
作者:
Pavol,MarykayA;Sundheim,Kathryn;Lazar,RonaldM;Festa,JoanneR;Marshall,RandolphS

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目的:颈动脉闭塞可导致卒中、短暂性脑缺血发作和认知功能减退。认知是否能预测颈动脉闭塞患者的生活质量尚不清楚。抑郁症也会影响QOL。我们研究了是否认知和抑郁预测生活质量的患者颈动脉闭塞性疾病谁没有revascularization.Methods:患者单侧颈动脉闭塞和TIA或轻微中风的历史悠久的历史,包括。患者接受记忆、语言、运动和执行功能技能检查,并完成抑郁和QOL问卷(流行病学调查中心-抑郁[CES-D],卒中特异性QOL [SSQOL])。采用NIH卒中量表(NIHSS)评估远端卒中的缺陷。对认知测试的Z分数取平均值(Cog-Z)。SSQOL评分在各亚组领域中取平均值。对所有抑郁水平的患者进行分析,然后对轻度抑郁患者进行亚组分析。结果:在37例不同抑郁水平的患者中,生活质量可通过远隔卒中和抑郁障碍预测(F(3,36)= 21.15,P <.0005; NIHSS Beta = -.392,P = .001; CES-D Beta = -.577,P < .0005)。在22例轻度抑郁患者中,认知和抑郁评分可预测QOL(F(2,21)= 7.88,P = 0.003; Cog-Z Beta = 0.364,P = 0.05; CES-D Beta =-0.495,P = 0.01)。这些数据证明了颈动脉闭塞患者认知和情绪下降的临床相关性。
Purpose:Carotid occlusion may result in stroke, TIA, and cognitive reductions. Whether cognition predicts quality of life (QOL) for patients with carotid occlusion is unknown. Depression is also known to affect QOL. We examined whether cognition and depression predicted QOL in patients with carotid occlusive disease who have not had revascularization.Methods:Patients with unilateral carotid occlusion and history of TIA or a remote history of minor stroke were included. Patients underwent exam of memory, language, motor, and executive function skills and completed depression and QOL questionnaires (Center for Epidemiological Studies-Depression [CES-D], Stroke Specific QOL [SSQOL]). Deficits from remote stroke were assessed with the NIH Stroke Scale (NIHSS). Z-scores for cognitive tests were averaged (Cog-Z). The SSQOL scores were averaged across subgroup domains. Analyses of patients with all depression levels were followed by subgroup analyses for patients with minimal depression. Correlation findings were used to select the variables in a regression model to predict SSQOL.Results:Among 37 patients with all depression levels, QOL was predicted by deficits from remote stroke and depression (F(3, 36) = 21.15,P<.0005; NIHSS Beta = –.392,P= .001; CES-D Beta = –.577,P< .0005). Among 22 patients with minimal depression, QOL was predicted by cognitive and depression scores, (F(2,21) = 7.88,P= .003; Cog-Z Beta = .364,P= .05; CES-D Beta = –.495,P= .01).Conclusions:In patients with carotid occlusive disease without major stroke and without revascularization, cognitive and depression scores independently predicted QOL. These data demonstrate the clinical relevance of cognitive and mood decline among patients with carotid occlusion.
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