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Current Alzheimer Research

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ISSN (Print): 1567-2050
ISSN (Online): 1875-5828

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Research Article

Predicting Dementia Due to Alzheimer’s Disease and Behavioral Variant Frontotemporal Dementia Using Algorithms with the Addenbrooke’s Cognitive Examination-Revised Subscores Combined with Sociodemographic Factors

Author(s): Viviane Amaral-Carvalho, Thais Bento Lima-Silva, Luciano Inácio Mariano, Leonardo Cruz de Souza, Henrique Cerqueira Guimarães, Valeria Santoro Bahia, Ricardo Nitrini, Maira Tonidandel Barbosa, Mônica Sanches Yassuda and Paulo Caramelli*

Volume 20, Issue 5, 2023

Published on: 21 September, 2023

Page: [341 - 349] Pages: 9

DOI: 10.2174/1567205020666230816160700

Price: $65

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Abstract

Background: Alzheimer's disease (AD) and behavioral variant frontotemporal dementia (bvFTD) are important causes of dementia with challenging differential diagnoses in many cases. Addenbrooke’s Cognitive Examination-Revised (ACE-R) is a cognitive battery that may be useful to differentiate the two disorders.

Objective: The objectibe of this study is to investigate the value of the ACE-R combined with sociodemographic factors in the differential diagnosis between AD and bvFTD.

Methods: The ACE-R was administered to 102 patients with mild dementia due to probable AD, 37 with mild bvFTD, and 135 controls. Performances of patients and controls were analyzed by logistic regression and by ROC curves to refine the diagnostic accuracy of the ACE-R in AD and bvFTD.

Results: The ACE-R subscores Attention and Orientation, Fluency, and Memory, in combination with schooling differentiated AD from controls with an area under the ROC curve (AUC) of 0.936 (86% sensitivity and 87% specificity). The ACE-R subscores Attention and Orientation, Fluency, and Language, in combination with sex (male), age, and schooling, discriminated bvFTD from controls with an AUC of 0.908 (81% sensitivity and 95% specificity). In the differentiation between AD and bvFTD, the ACE-R subscores Attention and Orientation, Fluency, and Language, together with age, displayed an AUC of 0.865 (78% sensitivity and 85% specificity).

Conclusion: The combination of ACE-R scores with sociodemographic data allowed good differentiation between AD and bvFTD in the study sample.

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[1]
Global Action Plan on the Public Health Response to Dementia 2017-2025; World Health Organization: Geneva. 2017. Available from: https://www.who.int/publications/i/item/global-action-plan-on-the-public-health-response-to-dementia-2017---2025
[2]
Mioshi, E.; Dawson, K.; Mitchell, J.; Arnold, R.; Hodges, J.R. The Addenbrooke’s Cognitive Examination Revised (ACE-R): a brief cognitive test battery for dementia screening. Int. J. Geriatr. Psychiatry, 2006, 21(11), 1078-1085.
[http://dx.doi.org/10.1002/gps.1610] [PMID: 16977673]
[3]
Smid, J.; Studart-Neto, A.; César-Freitas, K.G.; Dourado, M.C.N.; Kochhann, R.; Barbosa, B.J.A.P.; Schilling, L.P.; Balthazar, M.L.F.; Frota, N.A.F.; de Souza, L.C. Declínio cognitivo subjetivo, comprometimento cognitivo leve e demência - diagnóstico sindrômico: Recomendações do departamento científico de neurologia cognitiva e do envelhecimento da academia brasileira de neurologia. Dement. Neuropsychol., 2022, 16(3)(Suppl. 1), 1-17.
[http://dx.doi.org/10.1590/1980-5764-dn-2022-s101en] [PMID: 36533160]
[4]
Larner, A.J.; Mitchell, A.J. A meta-analysis of the accuracy of the Addenbrooke’s cognitive examination (ACE) and the Addenbrooke’s cognitive examination-revised (ACE-R) in the detection of dementia. Int. Psychogeriatr., 2014, 26(4), 555-563.
[http://dx.doi.org/10.1017/S1041610213002329] [PMID: 24423470]
[5]
Tsoi, K.K.F.; Chan, J.Y.C.; Hirai, H.W.; Wong, S.Y.S.; Kwok, T.C.Y. Cognitive tests to detect dementia. JAMA Intern. Med., 2015, 175(9), 1450-1458.
[http://dx.doi.org/10.1001/jamainternmed.2015.2152] [PMID: 26052687]
[6]
Alexopoulos, P.; Ebert, A.; Richter-Schmidinger, T.; Schöll, E.; Natale, B.; Aguilar, C.A.; Gourzis, P.; Weih, M.; Perneczky, R.; Diehl-Schmid, J.; Kneib, T.; Förstl, H.; Kurz, A.; Danek, A.; Kornhuber, J. Validation of the German revised Addenbrooke’s cognitive examination for detecting mild cognitive impairment, mild dementia in alzheimer’s disease and frontotemporal lobar degeneration. Dement. Geriatr. Cogn. Disord., 2010, 29(5), 448-456.
[http://dx.doi.org/10.1159/000312685] [PMID: 20502019]
[7]
Lonie, J.A.; Parra-Rodriguez, M.A.; Tierney, K.M.; Herrmann, L.L.; Donaghey, C.; O’Carroll, R.E.; Ebmeier, K.P. Predicting outcome in mild cognitive impairment: 4-year follow-up study. Br. J. Psychiatry, 2010, 197(2), 135-140.
[http://dx.doi.org/10.1192/bjp.bp.110.077958] [PMID: 20679266]
[8]
Hancock, P.; Larner, A.J. Diagnostic utility of the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE) and its combination with the Addenbrooke’s Cognitive Examination-Revised (ACE-R) in a memory clinic-based population. Int. Psychogeriatr., 2009, 21(3), 526-530.
[http://dx.doi.org/10.1017/S1041610209008941] [PMID: 19327203]
[9]
Amaral-Carvalho, V; Caramelli, P. Brazilian adaptation of the Addenbrooke’s Cognitive Examination-Revised (ACE-R). Dement. Neuropsychol., 2007, 1(2), 212-216.
[http://dx.doi.org/10.1590/s1980-57642008dn10200015] [PMID: 29213390]
[10]
César, K.G.; Yassuda, M.S.; Porto, F.H.G.; Brucki, S.M.D.; Nitrini, R. Addenbrooke’s cognitive examination-revised: normative and accuracy data for seniors with heterogeneous educational level in Brazil. Int. Psychogeriatr., 2017, 29(8), 1345-1353.
[http://dx.doi.org/10.1017/S1041610217000734] [PMID: 28511735]
[11]
Amaral-Carvalho, V.; Barbosa, M.T.; Caramelli, P. Brazilian version of the Addenbrooke cognitive cxamination-revised in the diagnosis of mild Alzheimer disease. Cogn. Behav. Neurol., 2010, 23(1), 8-13.
[http://dx.doi.org/10.1097/WNN.0b013e3181c5e2e5] [PMID: 20299857]
[12]
Amaral-Carvalho, V.; Lima-Silva, T.B.; Mariano, L.I.; de Souza, L.C.; Guimarães, H.C.; Bahia, V.S.; Nitrini, R.; Barbosa, M.T.; Yassuda, M.S.; Caramelli, P. Brazilian version of Addenbrooke’s cognitive examination—revised in the differential diagnosis of Alzheimer’s disease and behavioral variant frontotemporal dementia. Arch. Clin. Neuropsychol., 2022, 37(2), 437-448.
[http://dx.doi.org/10.1093/arclin/acab071] [PMID: 34530438]
[13]
Nitrini, R.; Bottino, C.M.C.; Albala, C.; Custodio Capuñay, N.S.; Ketzoian, C.; Llibre Rodriguez, J.J.; Maestre, G.E.; Ramos-Cerqueira, A.T.A.; Caramelli, P. Prevalence of dementia in Latin America: a collaborative study of population-based cohorts. Int. Psychogeriatr., 2009, 21(4), 622-630.
[http://dx.doi.org/10.1017/S1041610209009430] [PMID: 19505354]
[14]
Clerc, M.T.; von Gunten, A. Frontotemporal lobar degeneration. Dementia: Prevalence, risk factors and management strategies; Tanner, P., Ed.; Nova Science Publishers Inc: New York, 2014, pp. 87-114.
[15]
Johnson, J.K.; Diehl, J.; Mendez, M.F.; Neuhaus, J.; Shapira, J.S.; Forman, M.; Chute, D.J.; Roberson, E.D.; Pace-Savitsky, C.; Neumann, M.; Chow, T.W.; Rosen, H.J.; Forstl, H.; Kurz, A.; Miller, B.L. Frontotemporal lobar degeneration: demographic characteristics of 353 patients. Arch. Neurol., 2005, 62(6), 925-930.
[http://dx.doi.org/10.1001/archneur.62.6.925] [PMID: 15956163]
[16]
Miller, B.L.; Ikonte, C.; Ponton, M.; Levy, M.; Boone, K.; Darby, A.; Berman, N.; Mena, I.; Cummings, J.L. A study of the Lund-Manchester research criteria for frontotemporal dementia: Clinical and single-photon emission CT correlations. Neurology, 1997, 48(4), 937-941.
[http://dx.doi.org/10.1212/WNL.48.4.937] [PMID: 9109881]
[17]
Moguilner, S.; Birba, A.; Fittipaldi, S.; Gonzalez-Campo, C.; Tagliazucchi, E.; Reyes, P.; Matallana, D.; Parra, M.A.; Slachevsky, A.; Farías, G.; Cruzat, J.; García, A.; Eyre, H.A.; La Joie, R.; Rabinovici, G.; Whelan, R.; Ibáñez, A. Multi-feature computational framework for combined signatures of dementia in underrepresented settings. J. Neural Eng., 2022, 19(4), 046048.
[http://dx.doi.org/10.1088/1741-2552/ac87d0] [PMID: 35940105]
[18]
Hergert, D.C.; Pulsipher, D.T.; Haaland, K.Y.; Sadek, J.R. Influence of age and education on a performance-based measure of everyday functioning. Appl. Neuropsychol. Adult, 2022, 29(4), 651-661.
[http://dx.doi.org/10.1080/23279095.2020.1803323] [PMID: 32758020]
[19]
van Hooren, S.A.H.; Valentijn, A.M.; Bosma, H.; Ponds, R.W.H.M.; van Boxtel, M.P.J.; Jolles, J. Cognitive functioning in healthy older adults aged 64-81: a cohort study into the effects of age, sex, and education. Neuropsychol. Dev. Cogn. B. Aging Neuropsychol. Cogn., 2007, 14(1), 40-54.
[http://dx.doi.org/10.1080/138255890969483] [PMID: 17164189]
[20]
Amaral-Carvalho, V.; Caramelli, P. Normative data for healthy middle-aged and elderly performance on the Addenbrooke Cognitive Examination-Revised. Cogn. Behav. Neurol., 2012, 25(2), 72-76.
[http://dx.doi.org/10.1097/WNN.0b013e318259594b] [PMID: 22596112]
[21]
Brigola, A.G.; Ottaviani, A.C.; Souza, É.N.; Rossetti, E.S.; Terassi, M.; Oliveira, N.A.; Luchesi, B.M.; Pavarini, S.C.I. Descriptive data in different paper-based cognitive assessments in elderly from the community Stratification by age and education. Dement. Neuropsychol., 2018, 12(2), 157-164.
[http://dx.doi.org/10.1590/1980-57642018dn12-020008] [PMID: 29988345]
[22]
McKhann, G.M.; Knopman, D.S.; Chertkow, H.; Hyman, B.T.; Jack, C.R., Jr; Kawas, C.H.; Klunk, W.E.; Koroshetz, W.J.; Manly, J.J.; Mayeux, R.; Mohs, R.C.; Morris, J.C.; Rossor, M.N.; Scheltens, P.; Carrillo, M.C.; Thies, B.; Weintraub, S.; Phelps, C.H. The diagnosis of dementia due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement., 2011, 7(3), 263-269.
[http://dx.doi.org/10.1016/j.jalz.2011.03.005] [PMID: 21514250]
[23]
Rascovsky, K.; Hodges, J.R.; Knopman, D.; Mendez, M.F.; Kramer, J.H.; Neuhaus, J.; van Swieten, J.C.; Seelaar, H.; Dopper, E.G.P.; Onyike, C.U.; Hillis, A.E.; Josephs, K.A.; Boeve, B.F.; Kertesz, A.; Seeley, W.W.; Rankin, K.P.; Johnson, J.K.; Gorno-Tempini, M.L.; Rosen, H.; Prioleau-Latham, C.E.; Lee, A.; Kipps, C.M.; Lillo, P.; Piguet, O.; Rohrer, J.D.; Rossor, M.N.; Warren, J.D.; Fox, N.C.; Galasko, D.; Salmon, D.P.; Black, S.E.; Mesulam, M.; Weintraub, S.; Dickerson, B.C.; Diehl-Schmid, J.; Pasquier, F.; Deramecourt, V.; Lebert, F.; Pijnenburg, Y.; Chow, T.W.; Manes, F.; Grafman, J.; Cappa, S.F.; Freedman, M.; Grossman, M.; Miller, B.L. Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia. Brain, 2011, 134(9), 2456-2477.
[http://dx.doi.org/10.1093/brain/awr179] [PMID: 21810890]
[24]
Fagundes Chaves, M.L.; Camozzato, A.L.; Godinho, C.; Kochhann, R.; Schuh, A.; de Almeida, V.L.; Kaye, J. Validity of the clinical dementia rating scale for the detection and staging of dementia in Brazilian patients. Alzheimer Dis. Assoc. Disord., 2007, 21(3), 210-217.
[http://dx.doi.org/10.1097/WAD.0b013e31811ff2b4] [PMID: 17804953]
[25]
Mattis, S. Dementia Rating Scale: Professional Manual; Psychological Assessment Resources: Florida, 1988.
[26]
Foss, M.P.; de Carvalho, V.A.; Machado, T.H.; dos Reis, G.C.; Tumas, V.; Caramelli, P.; Nitrini, R.; Porto, C.S. Mattis dementia rating scale (DRS) middle-age and elderly populations. Dement. Neuropsychol., 2013, 7(4), 374-379.
[http://dx.doi.org/10.1590/S1980-57642013DN74000004] [PMID: 29213861]
[27]
Cummings, J.L.; Mega, M.; Gray, K.; Rosenberg-Thompson, S.; Carusi, D.A.; Gornbein, J. The Neuropsychiatric Inventory: Comprehensive assessment of psychopathology in dementia. Neurology, 1994, 44(12), 2308-2314.
[http://dx.doi.org/10.1212/WNL.44.12.2308] [PMID: 7991117]
[28]
Camozzato, A.L.; Kochhann, R.; Simeoni, C.; Konrath, C.A.; Pedro Franz, A.; Carvalho, A.; Chaves, M.L. Reliability of the Brazilian Portuguese version of the Neuropsychiatric Inventory (NPI) for patients with Alzheimer’s disease and their caregivers. Int. Psychogeriatr., 2008, 20(2), 383-393.
[http://dx.doi.org/10.1017/S1041610207006254] [PMID: 18257965]
[29]
Fazekas, F.; Chawluk, J.B.; Alavi, A.; Hurtig, H.I.; Zimmerman, R.A. MR signal abnormalities at 1.5 T in Alzheimer’s dementia and normal aging. AJR Am. J. Roentgenol., 1987, 149(2), 351-356.
[http://dx.doi.org/10.2214/ajr.149.2.351] [PMID: 3496763]
[30]
Bier, J.C.; Ventura, M.; Donckels, V.; Van Eyll, E.; Claes, T.; Slama, H.; Fery, P.; Vokaer, M.; Pandolfo, M. Is the Addenbrooke?s Cognitive Examination effective to detect frontotemporal dementia? J. Neurol., 2004, 251(4), 428-431.
[http://dx.doi.org/10.1007/s00415-004-0345-z] [PMID: 15083287]
[31]
Seblova, D.; Berggren, R.; Lövdén, M. Education and age-related decline in cognitive performance: Systematic review and meta-analysis of longitudinal cohort studies. Ageing Res. Rev., 2020, 58(58), 101005.
[http://dx.doi.org/10.1016/j.arr.2019.101005] [PMID: 31881366]

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