Eli Lilly and Company, Indianapolis, IN 46285, USA.
Am J Geriatr Psychiatry. 2013 Jul;21(7):607-22. doi: 10.1016/j.jagp.2012.10.027. Epub 2013 Apr 18.
Neuropsychiatric symptoms are prevalent in mild cognitive impairment (MCI) and Alzheimer disease (AD) and commonly measured using the Neuropsychiatric Inventory (NPI). Based on existing exploratory literature, we report preliminary validation of three NPI Questionnaire (NPI-Q-10) subscales that measure clinically meaningful symptom clusters.
Cross-sectional results for three subscales (NPI-Q-4-Frontal, NPI-Q-4-Agitation/Aggression, NPI-Q-3-Mood) in amnestic MCI and AD dementia cases from the National Alzheimer's Coordinating Center (NACC) and Alzheimer's Disease Neuroimaging Initiative (ADNI) databases were analyzed using confirmatory unrotated principal component analysis.
ADNI contributed 103 MCI, 90 MCI converters, and 112 AD dementia cases, whereas NACC contributed 1,042 MCI, 763 MCI converters, and 3,048 AD dementia cases. NACC had higher baseline mean age (75.7 versus 74.6), and more impaired mean scores (at month 24) on Mini-Mental State Exam (19.5 versus 22.4) and NPI-Q-10 (5.0 versus 4.3), and all NPI-Q subscales than ADNI. Medians were not different between cohorts for NPI-Q-4-Agitation/Aggression, and NPI-Q-3-Mood, however. Each item on all scales/subscales contributed variance in principal component analysis Pareto plots. All items in Factor (F) 1 for each scale/subscale projected in a positive direction on biplots (revealing coherence), whereas F2 and F3 items showed more spatial separation (revealing independence). There were remarkable similarities between cohorts for factor loadings and spatial patterns of item projections, although factor item identities varied somewhat, especially beyond F1.
The similar pattern of results across two cohorts support validity of these subscales, which are worthy of further psychometric evaluation in MCI and AD patients and preliminary application in clinical settings.
神经精神症状在轻度认知障碍(MCI)和阿尔茨海默病(AD)中很常见,通常使用神经精神问卷(NPI)进行测量。基于现有的探索性文献,我们报告了三个 NPI 问卷(NPI-Q-10)子量表的初步验证,这些子量表用于测量具有临床意义的症状群。
使用非旋转主成分分析对来自国家阿尔茨海默病协调中心(NACC)和阿尔茨海默病神经影像学倡议(ADNI)数据库的遗忘型 MCI 和 AD 痴呆病例的三个子量表(NPI-Q-4-额叶、NPI-Q-4-激越/攻击、NPI-Q-3-情绪)的横断面结果进行了分析。
ADNI 贡献了 103 例 MCI、90 例 MCI 转化者和 112 例 AD 痴呆病例,而 NACC 贡献了 1042 例 MCI、763 例 MCI 转化者和 3048 例 AD 痴呆病例。NACC 的基线平均年龄较高(75.7 岁比 74.6 岁),且在 24 个月时的平均简易精神状态检查(19.5 分比 22.4 分)和 NPI-Q-10(5.0 分比 4.3 分)以及所有 NPI-Q 子量表的得分均较差。然而,两个队列的 NPI-Q-4-激越/攻击和 NPI-Q-3-情绪中位数没有差异。所有量表/子量表的每个项目在主成分分析 Pareto 图中都有贡献方差。每个量表/子量表的所有项目在双标图上都呈正方向投射(显示一致性),而 F2 和 F3 项目则显示出更多的空间分离(显示独立性)。虽然因子项目的身份有些不同,尤其是在 F1 之外,但两个队列的因子负荷和项目投影的空间模式非常相似。
两个队列的结果相似,支持这些子量表的有效性,这些子量表值得在 MCI 和 AD 患者中进行进一步的心理测量评估,并在临床环境中进行初步应用。