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首页> 外文期刊>International psychogeriatrics >Predictors of cognitive decline in Alzheimer's disease and mild cognitive impairment using the CAMCOG: A five-year follow-up
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Predictors of cognitive decline in Alzheimer's disease and mild cognitive impairment using the CAMCOG: A five-year follow-up

机译:使用CAMCOG预测阿尔茨海默氏病和轻度认知障碍的认知能力:五年随访

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摘要

Background: There are discrepant findings regarding which subscales of the Cambridge Cognitive Examination (CAMCOG) are able to predict cognitive decline. The study aimed to identify the baseline CAMCOG subscales that can discriminate between patients and predict cognitive decline in Alzheimer's disease (AD) and mild cognitive impairment (MCI). Methods: This was a five-year case-control study of patients with cognitive impairment and a control group. Participants were grouped into AD (n = 121), MCI converted to dementia (MCI-Ad, n = 43), MCI-stable (MCI-St, n = 66), and controls (CTR, n = 112). Differences in the mean scores obtained by the four groups were examined. Receiver operating characteristic curves were used to compare subscale scores in the AD and MCI-Ad groups with those of controls. The influence of age, gender, schooling, and depression on baseline subscale scores was assessed. Results: Of the CAMCOG subscales, Orientation and Memory (learning and recent) (OR + MEM) showed the highest discriminant capacity in the baseline analysis of the four groups. This baseline analysis indicated that OR + MEM was the best predictor of conversion to AD in the MCI-Ad group (area under the curve, AUC = 0.81), whereas the predictive capacity of the global MMSE and CAMCOG scores was poor (AUC = 0.59 and 0.53, respectively). Conclusions: In the baseline analysis, the Orientation and Memory (learning and recent) subscales showed the highest discriminant and predictive capacity as regards both cognitive decline in the AD group and conversion to AD among MCI-Ad patients. This was not affected by age, gender, schooling, or depression.
机译:背景:关于剑桥认知测验(CAMCOG)的哪些子量表能够预测认知能力下降,存在分歧的发现。该研究旨在确定基线CAMCOG分量表,该分量表可区分患者并预测阿尔茨海默氏病(AD)和轻度认知障碍(MCI)的认知下降。方法:这是一项对认知障碍患者和对照组的为期五年的病例对照研究。参与者分为AD(n = 121),MCI转化为痴呆症(MCI-Ad,n = 43),MCI稳定(MCI-St,n = 66)和对照组(CTR,n = 112)。检查了由四组获得的平均分数的差异。接收者操作特征曲线用于比较AD和MCI-Ad组中的子量表分数与对照组的子量表分数。评估了年龄,性别,学历和抑郁对基线子量表分数的影响。结果:在CAMCOG分量表中,取向和记忆力(学习和近期)(OR + MEM)在四组的基线分析中显示出最高的判别能力。基线分析表明,OR + MEM是MCI-Ad组(曲线下面积,AUC = 0.81)的最佳AD预测指标,而总体MMSE和CAMCOG评分的预测能力较差(AUC = 0.59)和0.53)。结论:在基线分析中,就AD组的认知能力下降和MCI-Ad患者转换为AD而言,取向和记忆(学习和近期)量表显示出最高的判别和预测能力。这不受年龄,性别,学历或抑郁的影响。

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