Longitudinal changes in white matter disease and cognition in the first year of the Alzheimer disease neuroimaging initiative.
Longitudinal changes in white matter disease and cognition in the first year of the Alzheimer disease neuroimaging initiative.
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DOI：
10.1001/archneurol.2010.284
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发表时间：
2010-11
影响因子：
--
通讯作者：
DeCarli, Charles
中科院分区：
文献类型：
--
作者：
Carmichael, Owen;Schwarz, Christopher;Drucker, David;Fletcher, Evan;Harvey, Danielle;Beckett, Laurel;Jack, Clifford R.;Weiner, Michael;DeCarli, Charles
在一项心血管风险因素相对较轻的临床试验设计中，使用大样本方便样本，评价基于磁共振成像（MRI）的白色高信号（WMH）测量（基线和纵向测量）与1年认知功能下降之间的关系。临床试验设计中的便利样本。共有804名参与阿尔茨海默病神经影像学倡议的参与者在基线，6个月随访和12个月随访时接受MRI扫描，认知测试和临床评估。对于每次扫描，使用经验证的方法在T1、质子密度和T2 MRI图像的共配准集上自动检测WMH。混合效应回归模型评估了WMH风险因素、WMH体积和结局指标变化之间的关系，这些指标包括简易精神状态检查（MMSE）、阿尔茨海默病评估量表-认知子量表（ADAS-Cog）和临床痴呆评定量表总分。这些模型中的协变量包括种族、性别、受教育年限、年龄、载脂蛋白E基因型、基线临床诊断（认知正常、轻度认知障碍或阿尔茨海默病）、心血管风险评分和基于MRI的海马和脑体积。较高的基线WMH体积与随后1年ADAS-Cog的较大增加和MMSE评分的降低相关。随访时WMH体积越大，ADAS-Cog评分越高，MMSE评分越低。基线年龄和心血管风险评分较高以及基线临床诊断受损较多与基线WMH体积较高相关。白色高信号体积可预测相对健康的便利样本（与临床试验样本相似）中1年认知功能下降，因此应将其视为未来AD治疗试验中基线和纵向关注的协变量。
To evaluate relationships between magnetic resonance imaging (MRI)–based measures of white matter hyperintensities (WMHs), measured at baseline and longitudinally, and 1-year cognitive decline using a large convenience sample in a clinical trial design with a relatively mild profile of cardiovascular risk factors. Convenience sample in a clinical trial design. A total of 804 participants in the Alzheimer Disease Neuroimaging Initiative who received MRI scans, cognitive testing, and clinical evaluations at baseline, 6-month follow-up, and 12-month follow-up visits. For each scan, WMHs were detected automatically on coregistered sets of T1, proton density, and T2 MRI images using a validated method. Mixed-effects regression models evaluated relationships between risk factors for WMHs, WMH volume, and change in outcome measures including Mini-Mental State Examination (MMSE), Alzheimer Disease Assessment Scale–Cognitive Subscale (ADAS-Cog), and Clinical Dementia Rating Scale sum of boxes scores. Covariates in these models included race, sex, years of education, age, apolipoprotein E genotype, baseline clinical diagnosis (cognitively normal, mild cognitive impairment, or Alzheimer disease), cardiovascular risk score, and MRI-based hippocampal and brain volumes. Higher baseline WMH volume was associated with greater subsequent 1-year increase in ADAS-Cog and decrease in MMSE scores. Greater WMH volume at follow-up was associated with greater ADAS-Cog and lower MMSE scores at follow-up. Higher baseline age and cardiovascular risk score and more impaired baseline clinical diagnosis were associated with higher baseline WMH volume. White matter hyperintensity volume predicts 1-year cognitive decline in a relatively healthy convenience sample that was similar to clinical trial samples, and therefore should be considered as a covariate of interest at baseline and longitudinally in future AD treatment trials.
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DOI：
10.1007/978-3-642-02498-6_20
发表时间：
2009
期刊：
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
影响因子：
--
作者：
Schwarz, Christopher;Fletcher, Evan;DeCarli, Charles;Carmichael, Owen
通讯作者：
Carmichael, Owen
影响因子：
8.3
作者：
van Dijk, Ewoud J.;Prins, Niels D.;Breteler, Monique M. B.
通讯作者：
Breteler, Monique M. B.
影响因子：
9.9
作者：
Yoshita, M.;Fletcher, E.;DeCarli, C. S.
通讯作者：
DeCarli, C. S.
影响因子：
6
作者：
van Straaten EC;Harvey D;Scheltens P;Barkhof F;Petersen RC;Thal LJ;Jack CR Jr;DeCarli C;Alzheimer's Disease Cooperative Study Group
通讯作者：
Alzheimer's Disease Cooperative Study Group
影响因子：
8.3
作者：
Longstreth, WT;Arnold, AM;Furberg, CD
通讯作者：
Furberg, CD