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Word-List Intrusion Errors Predict Progression to Mild Cognitive Impairment

机译：单词列表入侵错误预测对轻度认知障碍的进展

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Objective: Preclinical Alzheimer's disease (AD) defined by a positive AD biomarker in the presence of normal cognition is presumed to precede mild cognitive impairment (MCI). Subtle cognitive deficits and cognitive inefficiencies in preclinical AD may be detected through process and error scores on neuropsychological tests in those at risk for progression to MCI. Method: Cognitively normal participants (n = 525) from the Alzheimer's Disease Neuroimaging Initiative were followed for up to 5 years and classified as either stable normal (n = 305) or progressed to MCI (n = 220). Cox regressions were used to determine whether baseline process scores on the Rey Auditory Verbal Learning Test (AVLT; intrusion errors, learning slope, proactive interference, retroactive interference) predicted progression to MCI and a Clinical Dementia Rating (CDR) score of 1 after considering demographic characteristics, apolipoprotein E epsilon 4 status, cerebrospinal fluid AD biomarkers, ischemia risk, mood, functional difficulty, and standard neuropsychological total test scores for the model. Results: Baseline AVLT intrusion errors predicted progression to MCI (hazard ratio = 1.04, 95% confidence interval 1.01-1.07, p = .008) and improved model fit after the other valuable predictors were already in the model, chi(2)(df = 1) = 6.330, p =.012. AVLT intrusion errors also predicted progression to CDR = 1 (hazard ratio = 1.10, 95% confidence interval 1.02-1.18, p =.016) and again improved model fit, chi(2)(df = 1) = 4.682, p =.030. Conclusions: Intrusion errors on the AVLT contribute unique value for predicting progression from normal cognition to MCI and normal cognition to mild dementia (CDR = 1). Intrusion errors appear to reflect subtle change and inefficiencies in cognition that precede impairment detected by neuropsychological total scores.
机译：目的：在正常认知存在下阳性AD生物标志物定义的临床前阿尔茨海默病（AD）被推测为温和的认知障碍（MCI）之前。可以通过对MCI的进展风险的危险性的过程和误差分数来检测临床前广告中的微妙认知缺陷和认知低效率。方法：从阿尔茨海默病的常规参与者（n = 525）从阿尔茨海默氏病神经影像动物序列进行，遵循长达5年，并分类为稳定的正常（n = 305）或进展到MCI（n = 220）。 COX回归用于确定Rey听觉语言学习测试（AVLT;入侵错误，学习斜率，主动干扰，追溯干扰）对MCI的进展和临床痴呆评级（CDR）评分在考虑在考虑人口后的进展情况特征，载脂蛋白Eε4状态，脑脊液AD生物标志物，缺血风险，情绪，功能性困难，以及模型的标准神经心理学总测试分数。结果：基线AVLT入侵误差预测到MCI的进展（危险比= 1.04，95％置信区间1.01-1.07，P = .008）和改进的模型适合在其他有价值的预测因子已经在模型中，CHI（2）（DF = 1）= 6.330，p = .012。 AVLT入侵误差还将进展预测到CDR = 1（危险比= 1.10,95％置信区间1.02-1.18，P = .016）和再次改进的模型拟合，CHI（2）（DF = 1）= 4.682，P =。 030。结论：AVLT的入侵误差有助于预测从正常认知到MCI和正常认知对轻度痴呆（CDR = 1）的进展的独特价值。入侵错误似乎反映了在神经心理学总分数检测到的损伤之前的微妙变化和效率低下。

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