BACKGROUND: 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). METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
BACKGROUND: 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). METHODS: 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. RESULTS: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. CONCLUSIONS: 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.
Authors: Maria Teresa Carthery-Goulart; Rosimeire de Oliveira; Isabel Junqueira de Almeida; Aline Campanha; Dayse da Silva Souza; Yossi Zana; Paulo Caramelli; Thais Helena Machado Journal: Front Neurol Date: 2022-05-16 Impact factor: 4.086
Authors: Helen Capeleto Francisco; Allan Gustavo Brigola; Ana Carolina Ottaviani; Ariene Angelini Dos Santos-Orlandi; Fabiana de Souza Orlandi; Francisco José Fraga; Letícia Pimenta Costa Guarisco; Marisa Silvana Zazzetta; Renata Valle Pedroso; Sofia Cristina Iost Pavarini Journal: Dement Neuropsychol Date: 2019 Jul-Sep
Authors: José Wagner Leonel Tavares-Júnior; Danilo Nunes Oliveira; Jean Breno Silveira da Silva; Werbety Lucas Queiroz Feitosa; Artur Victor Menezes Sousa; Letícia Chaves Vieira Cunha; Safira de Brito Gaspar; Carmem Meyve Pereira Gomes; Laís Lacerda Brasil de Oliveira; Caroline Aquino Moreira-Nunes; Raquel Carvalho Montenegro; Manoel Alves Sobreira-Neto; Pedro Braga-Neto Journal: Front Psychiatry Date: 2022-08-10 Impact factor: 5.435