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DOI: 10.1055/s-0044-1787138
Memory complaint in a middle-income country: a four-year longitudinal study in a cohort with low-education
Queixa de memória na comunidade em um país de renda média: um estudo longitudinal de quatro anos em uma coorte de baixa escolaridadeAuthors

Abstract
Background Memory complaints are frequent in older adults and are associated with higher risk of cognitive decline.
Objective To investigate the functional outcome of individuals with memory complaints followed up at primary care centers.
Methods Data were collected between 2016 e 2020 in primary health care centers in Brazil. Patients underwent the Brief Cognitive Screening Battery, and the Functional Activities Questionnaire.
Results The initial sample (2016) comprised 91 individuals classified into those with subjective cognitive decline (SCD, n = 15), mild cognitive impairment (MCI, n = 45), or dementia (n = 31). During follow-up, 8 individuals (8.8% of the initial sample) died and 26 (28.5% of the initial sample) were not found. Fifty-seven participants underwent clinical reassessment. Of 15 individuals with SCD, 7 were not found (46.7%), 4 (26.7%) progressed to MCI, and 4 (26.7%) remained stable. Of 45 individuals with MCI, 11 were not found (24.4%), 2 (4.4%) died, 6 (13.4%) progressed to dementia, 12 (26.7%) regressed to SCD, and 14 (31.1%) remained stable. Of 31 individuals with dementia, 8 were not found (25.8%), 6 (19.4%) died, 2 (6.5%) regressed to SCD, 7 (22.6%) regressed to MCI, and 8 remained stable (25.8%). Clinical improvement was due to the treatment of reversible causes, such as B12 hypovitaminosis and mood disorders. Older age, lower Mini-Mental State Examination, and higher scores of memory complaint, but not the use of benzodiazepines and of proton pump inhibitors, were predictors of functional status.
Conclusion Despite their limits (short sample size, missing data), these results support the idea that adequate screening, follow-up, and treatment of reversible causes of dementia in primary care are essential.
Resumo
Antecedentes Queixas de memória são frequentes em idosos e estão associadas ao maior risco de declínio cognitivo.
Objetivo Investigar o desfecho funcional de indivíduos com queixas de memória acompanhados em centros atenção primária.
Métodos Os dados foram coletados entre 2016 e 2020 em centros de atenção primária à saúde no Brasil. Os pacientes foram submetidos à Bateria Cognitiva Breve e ao Questionário de Atividades Funcionais.
Resultados A amostra inicial (2016) foi composta por 91 indivíduos, classificados como tendo declínio cognitivo subjetivo (DCS, n = 15), comprometimento cognitivo leve (CCL, n = 45), ou demência (n = 31). Durante o seguimento, 8 indivíduos (8,8% da amostra inicial) faleceram e 26 (28,5% da amostra inicial) não foram encontrados. Cinquenta e sete participantes foram submetidos à reavaliação clínica. Dos 15 indivíduos com DCS, 7 não foram encontrados (46,7%), 4 (26,7%) declinaram para CCL e 4 (26,7%) permaneceram estáveis. Dos 45 indivíduos com CCL, 11 não foram encontrados (24,4%), 2 (4,4%) morreram, 6 (13,4%) declinaram para demência, 12 (26,7%) evoluíram para DCS e 14 (31,1%) permaneceram estáveis. Dos 31 indivíduos com demência, 8 não foram encontrados, (25,8%), 6 (19,4%) morreram, 2 (6,5%) evoluíram para DCS e 7 (22,6%) para CCL; e 8 permaneceram estáveis (25,8%). A melhora clínica deveu-se ao tratamento de causas reversíveis, como hipovitaminose B12 e transtornos de humor. A idade avançada, a baixa pontuação no Mini-Exame do Estado Mental e os escores de queixa de memória mais altos, mas não o uso de benzodiazepínicos e inibidores da bomba de prótons, foram preditores de declínio funcional.
Conclusão Apesar de suas limitações (amostra pequena, dados ausentes), esses resultados corroboram que a triagem adequada, o acompanhamento e o tratamento de causas reversíveis de demência na atenção primária são essenciais.
Authors' Contributions
MLP: conceptualization, data curation, formal analysis, funding acquisition, investigation, methodology, project administration, resources, supervision, validation, visualization, and writing – original draft; PC: conceptualization, data curation, investigation, methodology, resources, validation, visualization, and writing – review & editing; VMS: data curation, investigation, and resources; PHMR: conceptualization, data curation, funding acquisition, investigation, and resources; JPGO: conceptualization, data curation, formal analysis, funding acquisition, investigation, and resources; RPA: conceptualization, formal analysis, funding acquisition, and resources; EVS: conceptualization, data curation, funding acquisition, investigation, and resources; VSD: conceptualization, formal analysis, funding acquisition, and resources. MTB: formal analysis, methodology, validation, visualization, and writing – review & editing; LFJRM: conceptualization, formal analysis, investigation, methodology, project administration, resources, supervision, validation, visualization, and writing – review & editing; LCS: conceptualization, data curation, formal analysis, methodology, project administration, supervision, validation, visualization, writing – original draft, and writing – review & editing.
Support
We are thankful to Secretaria Municipal de Saúde de Patos de Minas and to Centro Universitário de Patos de Minas ( UNIPAM) for supporting the present study.
Publication History
Received: 07 August 2023
Accepted: 23 March 2024
Article published online:
07 June 2024
© 2024. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution 4.0 International License, permitting copying and reproduction so long as the original work is given appropriate credit (https://creativecommons.org/licenses/by/4.0/)
Thieme Revinter Publicações Ltda.
Rua do Matoso 170, Rio de Janeiro, RJ, CEP 20270-135, Brazil
Marcos Leandro Pereira, Paulo Caramelli, Vannessa Marinara de Sá, Paulo Henrique Martins Rocha, João Pedro Gomes de Oliveira, Rafael Pereira de Amorim, Elvis Vieira da Silva, Vinícius Slonsky Delboni, Maira Tonidandel Barbosa, Luís Felipe José Ravic de Miranda, Leonardo Cruz de Souza. Memory complaint in a middle-income country: a four-year longitudinal study in a cohort with low-education. Arq Neuropsiquiatr 2024; 82: s00441787138.
DOI: 10.1055/s-0044-1787138
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References
- 1 Silva MR, Moser D, Pflüger M. et al. Self-reported and informant-reported memory functioning and awareness in patients with mild cognitive impairment and Alzheimeŕs disease. Neuropsychiatr 2016; 30 (02) 103-112 [published Online First: 20160613]
- 2 Jessen F, Amariglio RE, Buckley RF. et al. The characterisation of subjective cognitive decline. Lancet Neurol 2020; 19 (03) 271-278 [published Online First: 20200117]
- 3 Buckley RF, Maruff P, Ames D. et al; AIBL study. Subjective memory decline predicts greater rates of clinical progression in preclinical Alzheimer's disease. Alzheimers Dement 2016; 12 (07) 796-804 [published Online First: 20160204]
- 4 Studart A, Nitrini R. Subjective cognitive decline: The first clinical manifestation of Alzheimer's disease?. Dement Neuropsychol 2016; 10 (03) 170-177
- 5 Hu C, Wang L, Zhao X, Zhu B, Tian M, Qin H. Investigation of risk factors for the conversion of mild cognitive impairment to dementia. Int J Neurosci 2021; 131 (12) 1173-1180 [published Online First: 20200626]
- 6 Pike KE, Cavuoto MG, Li L, Wright BJ, Kinsella GJ. Subjective Cognitive Decline: Level of Risk for Future Dementia and Mild Cognitive Impairment, a Meta-Analysis of Longitudinal Studies. Neuropsychol Rev 2022; 32 (04) 703-735 [published Online First: 20211108]
- 7 Angevaare MJ, Vonk JMJ, Bertola L. et al. Predictors of Incident Mild Cognitive Impairment and Its Course in a Diverse Community-Based Population. Neurology 2022; 98 (01) e15-e26
- 8 Zuliani G, Polastri M, Romagnoli T. et al. Clinical and demographic parameters predict the progression from mild cognitive impairment to dementia in elderly patients. Aging Clin Exp Res 2021; 33 (07) 1895-1902
- 9 Zhuang L, Yang Y, Gao J. Cognitive assessment tools for mild cognitive impairment screening. J Neurol 2021; 268 (05) 1615-1622 [published Online First: 20190814]
- 10 Bertens D, Vos S, Kehoe P. et al. Use of mild cognitive impairment and prodromal AD/MCI due to AD in clinical care: a European survey. Alzheimers Res Ther 2019; 11 (01) 74 [published Online First: 20190822]
- 11 Roberts R, Knopman DS. Classification and epidemiology of MCI. Clin Geriatr Med 2013; 29 (04) 753-772
- 12 Giraldo DL, Sijbers J, Romero E. Alzheimer's Disease Neuroimaging Initiative. Quantification of cognitive impairment to characterize heterogeneity of patients at risk of developing Alzheimer's disease dementia. Alzheimers Dement (Amst) 2021; 13 (01) e12237 [published Online First: 20210914]
- 13 Qin Y, Tian Y, Han H. et al; Alzheimer's Disease Neuroimaging Initiative. Risk classification for conversion from mild cognitive impairment to Alzheimer's disease in primary care. Psychiatry Res 2019; 278: 19-26 [published Online First: 20190516]
- 14 Cheng YW, Chen TF, Chiu MJ. From mild cognitive impairment to subjective cognitive decline: conceptual and methodological evolution. Neuropsychiatr Dis Treat 2017; 13: 491-498 [published Online First: 20170216]
- 15 Stephan BCM, Pakpahan E, Siervo M. et al. Prediction of dementia risk in low-income and middle-income countries (the 10/66 Study): an independent external validation of existing models. Lancet Glob Health 2020; 8 (04) e524-e535
- 16 Caffò AO, Spano G, Tinella L. et al. The Prevalence of Amnestic and Non-Amnestic Mild Cognitive Impairment and Its Association with Different Lifestyle Factors in a South Italian Elderly Population. Int J Environ Res Public Health 2022; 19 (05) 3097
- 17 Snitz BE, Wang T, Cloonan YK. et al. Risk of progression from subjective cognitive decline to mild cognitive impairment: The role of study setting. Alzheimers Dement 2018; 14 (06) 734-742
- 18 Kuhn E, Moulinet I, Perrotin A. et al. Cross-sectional and longitudinal characterization of SCD patients recruited from the community versus from a memory clinic: subjective cognitive decline, psychoaffective factors, cognitive performances, and atrophy progression over time. Alzheimers Res Ther 2019; 11 (01) 61
- 19 Eggink E, Moll van Charante EP, van Gool WA, Richard E. A Population Perspective on Prevention of Dementia. J Clin Med 2019; 8 (06) 834 [published Online First: 20190612]
- 20 Behera BK, Prasad R. Shyambhavee. Primary health-care goal and principles. Healthcare Strategies and Planning for Social Inclusion and Development. 2022: 221-239
- 21 Suemoto CK, Mukadam N, Brucki SMD. et al. Risk factors for dementia in Brazil: Differences by region and race. Alzheimers Dement 2023; 19 (05) 1849-1857 [published Online First: 20221103]
- 22 Feter N, Leite JS. Is Brazil ready for the expected increase in dementia prevalence?. Cad Saude Publica 2021; 37 (06) e00056421 . Published 2021 Jun 4. doi:
- 23 Pereira ML, de Vasconcelos THF, de Oliveira AAR. et al. Memory complaints at primary care in a middle-income country: clinical and neuropsychological characterization. Dement Neuropsychol 2021; 15 (01) 88-97
- 24 Mattos P, Lino V, Rizo L, Alfano A, Araújo C, Raggio R. Memory complaints and test performance in healthy elderly persons. Arq Neuropsiquiatr 2003; 61 (04) 920-924 [published Online First: 20040106]
- 25 Brucki SM, Nitrini R, Caramelli P, Bertolucci PH, Okamoto IH. [Suggestions for utilization of the mini-mental state examination in Brazil]. Arq Neuropsiquiatr 2003; 61 (3B): 777-781 [published Online First: 2003/11/05]
- 26 Nitrini R, Caramelli P, Herrera Júnior E. et al. Performance of illiterate and literate nondemented elderly subjects in two tests of long-term memory. J Int Neuropsychol Soc 2004; 10 (04) 634-638 [published Online First: 2004/08/26]
- 27 Yassuda MS, da Silva HS, Lima-Silva TB. et al. Normative data for the Brief Cognitive Screening Battery stratified by age and education. Dement Neuropsychol 2017; 11 (01) 48-53 [published Online First: 2017/12/08]
- 28 Shulman KI. Clock-drawing: is it the ideal cognitive screening test?. Int J Geriatr Psychiatry 2000; 15 (06) 548-561
- 29
Pfeffer RI,
Kurosaki TT,
Harrah Jr CH,
Chance JM,
Filos S.
Measurement of functional activities in older adults in the community. J Gerontol
1982; 37 (03) 323-329
Reference Ris Wihthout Link
- 30 Camozzato AL, Godinho C, Kochhann R, Massochini G, Chaves ML. Validity of the Brazilian version of the Neuropsychiatric Inventory Questionnaire (NPI-Q). Arq Neuropsiquiatr 2015; 73 (01) 41-45 [published Online First: 2015/01/22]
- 31 Nitrini R, Caramelli P, Bottino CM, Damasceno BP, Brucki SM, Anghinah R. Academia Brasileira de Neurologia. [Diagnosis of Alzheimer's disease in Brazil: diagnostic criteria and auxiliary tests. Recommendations of the Scientific Department of Cognitive Neurology and Aging of the Brazilian Academy of Neurology]. Arq Neuropsiquiatr 2005; 63 ( 3A) 713-719 [published Online First: 20050909]
- 32 Lim YY, Snyder PJ, Pietrzak RH. et al. Sensitivity of composite scores to amyloid burden in preclinical Alzheimer's disease: Introducing the Z-scores of Attention, Verbal fluency, and Episodic memory for Nondemented older adults composite score. Alzheimers Dement (Amst) 2015; 2: 19-26
- 33 Malek-Ahmadi M, Chen K, Perez SE, He A, Mufson EJ. Cognitive composite score association with Alzheimer's disease plaque and tangle pathology. Alzheimers Res Ther 2018; 10 (01) 90
- 34 Thaipisuttikul P, Jaikla K, Satthong S, Wisajun P. Rate of conversion from mild cognitive impairment to dementia in a Thai hospital-based population: A retrospective cohort. Alzheimers Dement (N Y) 2022; 8 (01) e12272
- 35 Nelson ME, Jester DJ, Petkus AJ, Andel R. Cognitive Reserve, Alzheimer's Neuropathology, and Risk of Dementia: A Systematic Review and Meta-Analysis. Neuropsychol Rev 2021; 31 (02) 233-250
- 36 McGrattan AM, Pakpahan E, Siervo M. et al; DePEC team. Risk of conversion from mild cognitive impairment to dementia in low- and middle-income countries: A systematic review and meta-analysis. Alzheimers Dement (N Y) 2022; 8 (01) e12267
- 37 Lao Y, Hou L, Li J, Hui X, Yan P, Yang K. Association between alcohol intake, mild cognitive impairment and progression to dementia: a dose-response meta-analysis. Aging Clin Exp Res 2021; 33 (05) 1175-1185 [published Online First: 20200601]
- 38 Djukic M, Wedekind D, Franz A, Gremke M, Nau R. Frequency of dementia syndromes with a potentially treatable cause in geriatric in-patients: analysis of a 1-year interval. Eur Arch Psychiatry Clin Neurosci 2015; 265 (05) 429-438 [published Online First: 20150226]
- 39 César-Freitas KG, Suemoto CK, Power MC, Brucki SMD, Nitrini R. Incidence of dementia in a Brazilian population: The Tremembé Epidemiologic Study. Alzheimers Dement 2022; 18 (04) 581-590 [published Online First: 20210802]
- 40 Liss JL, Seleri Assunção S, Cummings J. et al. Practical recommendations for timely, accurate diagnosis of symptomatic Alzheimer's disease (MCI and dementia) in primary care: a review and synthesis. J Intern Med 2021; 290 (02) 310-334 [published Online First: 20210331]
- 41 Gallacher J, Elwood P, Pickering J, Bayer A, Fish M, Ben-Shlomo Y. Benzodiazepine use and risk of dementia: evidence from the Caerphilly Prospective Study (CaPS). J Epidemiol Community Health 2012; 66 (10) 869-873 [published Online First: 20111027]
- 42 Zhong G, Wang Y, Zhang Y, Zhao Y. Association between Benzodiazepine Use and Dementia: A Meta-Analysis. PLoS One 2015; 10 (05) e0127836 [published Online First: 20150527]
- 43 Haenisch B, von Holt K, Wiese B. et al. Risk of dementia in elderly patients with the use of proton pump inhibitors. Eur Arch Psychiatry Clin Neurosci 2015; 265 (05) 419-428 [published Online First: 20141024]
- 44 Gomm W, von Holt K, Thomé F. et al. Association of Proton Pump Inhibitors With Risk of Dementia: A Pharmacoepidemiological Claims Data Analysis. JAMA Neurol 2016; 73 (04) 410-416
- 45 Gray SL, Dublin S, Yu O. et al. Benzodiazepine use and risk of incident dementia or cognitive decline: prospective population based study. BMJ 2016; 352: i90 [published Online First: 20160202]
- 46 Song YQ, Li Y, Zhang SL, Gao J, Feng SY. Proton pump inhibitor use does not increase dementia and Alzheimer's disease risk: An updated meta-analysis of published studies involving 642305 patients. PLoS One 2019; 14 (07) e0219213 [published Online First: 20190702]
- 47 Schofield PW, Marder K, Dooneief G, Jacobs DM, Sano M, Stern Y. Association of subjective memory complaints with subsequent cognitive decline in community-dwelling elderly individuals with baseline cognitive impairment. Am J Psychiatry 1997; 154 (05) 609-615
- 48 Dardenne S, Delrieu J, Sourdet S. et al. Memory Complaints and Cognitive Decline: Data from the GUIDAGE Study1. J Alzheimers Dis 2017; 60 (04) 1567-1578
- 49 Purser JL, Fillenbaum GG, Wallace RB. Memory complaint is not necessary for diagnosis of mild cognitive impairment and does not predict 10-year trajectories of functional disability, word recall, or short portable mental status questionnaire limitations. J Am Geriatr Soc 2006; 54 (02) 335-338
- 50 Silva D, Guerreiro M, Faria C, Maroco J, Schmand BA, Mendonça Ad. Significance of subjective memory complaints in the clinical setting. J Geriatr Psychiatry Neurol 2014; 27 (04) 259-265 [published Online First: 20140424]
- 51 Jack Jr CR, Therneau TM, Weigand SD. et al. Prevalence of Biologically vs Clinically Defined Alzheimer Spectrum Entities Using the National Institute on Aging-Alzheimer's Association Research Framework. JAMA Neurol 2019; 76 (10) 1174-1183 [published Online First: 20190715]