Study conducted by the Department of Neurology,University of São Paulo Medical School,São Paulo,Brazil.
Int Psychogeriatr. 2017 Aug;29(8):1345-1353. doi: 10.1017/S1041610217000734. Epub 2017 May 17.
Several cognitive tools have been developed aiming to diagnose dementia. The cognitive battery Addenbrooke's Cognitive Examination - Revised (ACE-R) has been used to detect cognitive impairment; however, there are few studies including samples with low education. The aim of the study was to provide ACE-R norms for seniors within a lower education, including illiterates. An additional aim was to examine the accuracy of the ACE-R to detect dementia and cognitive impairment no dementia (CIND).
Data originated from an epidemiological study conducted in the municipality of Tremembé, Brazil. The Brazilian version of ACE-R was applied as part of the cognitive assessment in all participants. Of the 630 participants, 385 were classified as cognitively normal (CN) and were included in the normative data set, 110 individuals were diagnosed with dementia, and 135 were classified as having CIND.
ACE-R norms were provided with the sample stratified into age and education bands. ACE-R total scores varied significantly according to age, education, and sex. To distinguish CN from dementia, a cut-off of 64 points was established (sensitivity 91%, specificity 76%) and to differentiate CN from CIND the best cut-off was 69 points (sensitivity 73%, specificity 65%). Cut-off scores varied according to the educational level.
This study offers normative and accuracy parameters for seniors with lower education and it should expand the use of the ACE-R for this population segment.
已经开发出几种旨在诊断痴呆症的认知工具。认知电池 Addenbrooke 的认知评估修订版(ACE-R)已用于检测认知障碍;然而,很少有研究包括受教育程度较低的样本。该研究的目的是为受教育程度较低的老年人提供 ACE-R 规范,包括文盲。另一个目的是检查 ACE-R 检测痴呆症和认知障碍非痴呆症(CIND)的准确性。
数据来自巴西 Tremembé 市进行的一项流行病学研究。所有参与者均接受了巴西版 ACE-R 的认知评估。在 630 名参与者中,385 名被归类为认知正常(CN)并包含在规范数据集中,110 名被诊断为痴呆症,135 名被归类为 CIND。
根据年龄和教育程度对 ACE-R 规范进行分层。ACE-R 总分根据年龄、教育程度和性别有显著差异。为了将 CN 与痴呆症区分开来,设定了 64 分的截断值(敏感性 91%,特异性 76%),而将 CN 与 CIND 区分开来的最佳截断值为 69 分(敏感性 73%,特异性 65%)。截断值根据教育程度而有所不同。
本研究为受教育程度较低的老年人提供了规范和准确性参数,应该扩大 ACE-R 在该人群中的使用。