摘要
背景:轻度认知缺陷(MCI)是阿尔兹海默病(AD)和其他形式痴呆的危险因素。然而,特异性关注与神经心里方面的测试,患病率和发展率阻碍了不同诊断和治疗的影响。 目的:这篇文章的目的是确定特定的测试提供了稳定的MCI的稳定和不稳定的MCI在社区为基础的样品检查,这种检查在三个测试点中。 方法:130个参与者每年将被测试,广泛测试电池包括测试记忆、语言、执行指令功能、智力和老年痴呆症的筛查试验。基线排除标准,严格认知的赤字(比如老年痴呆症的诊断,神经或神经疾病)。关于MCI诊断稳定和不稳定的可能性预测运用回归和接收机工作性质(ROC)曲线分析。年龄、智商和APOE情况被测试,在测试行为表现和小组成员关系的相互作用中调节影响。 结果:在基线观察到高MCI发病率(49%)在两年后逆转成18%。MCI的稳定性与四个测量数据相关(VLMT:延迟回忆; CERAD: 回忆拖延;CERAD:波士顿命名测验,本顿视觉保持测验:号码错误)。传统MCI与语言功能相关。回归“正常”主要预测单一领域缺陷。这里对于人口、医学或者基因变异没有显著影响。 结论:这个实验结果强调了重复测量功能神经心理预测和更好的诊断可靠性的可靠识别。在高不确定性的情况下密切监测随着时间的推移是必要的,以估计结果的顺序。
关键词: 轻度意识缺陷(MCI),阿尔兹海默病(AD),意识功能,记忆,纵向调查,神经心理学。
Current Alzheimer Research
Title:Predicting Stability of Mild Cognitive Impairment (MCI): Findings of a Community Based Sample
Volume: 14 Issue: 6
关键词: 轻度意识缺陷(MCI),阿尔兹海默病(AD),意识功能,记忆,纵向调查,神经心理学。
摘要: Background: Mild Cognitive Impairment (MCI) is a risk factor for Alzheimer’s disease (AD) and other forms of dementia. However, much heterogeneity concerning neuropsychological measures, prevalence and progression rates impedes distinct diagnosis and treatment implications.
Objective: Aim of the present study was the identification of specific tests providing a high certainty for stable MCI and factors that precipitate instability of MCI in a community based sample examined at three measurement points. Method: 130 participants were tested annually with an extensive test battery including measures of memory, language, executive functions, intelligence and dementia screening tests. Exclusion criteria at baseline comprised, severe cognitive deficits (e.g. diagnosis of dementia, psychiatric or neurological disease). Possible predictors for stability or instability of MCI-diagnosis were analyzed using Regression and Receiver Operating Characteristic (ROC) curve analysis. Age, IQ and APOE status were tested for moderating effects on the interaction of test performances and group membership. Results: A high prevalence of MCI (49%) was observed at baseline with a reversion rate of 18% after two years. Stability of MCI was related to performances in four measures (VLMT: delayed recall, CERAD: recall drawings, CERAD: Boston Naming Test, Benton Visual Retention Test: number of mistakes). Conversion to MCI is associated with language functions. Reversion to ‘normal’ was primarily predicted by single domain impairment. There was no significant influence of demographic, medical or genetic variables. Conclusion: The results highlight the role of repeated measurements for a reliable identification of functional neuropsychological predictors and better diagnostic reliability. In cases of high uncertainty close monitoring over time is needed in order of estimating outcome.Export Options
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Cite this article as:
Predicting Stability of Mild Cognitive Impairment (MCI): Findings of a Community Based Sample, Current Alzheimer Research 2017; 14 (6) . https://dx.doi.org/10.2174/1567205014666161213120807
DOI https://dx.doi.org/10.2174/1567205014666161213120807 |
Print ISSN 1567-2050 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5828 |
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