ABSTRACT
INTRODUCTION@#This study aimed to elucidate the cognitive profile of patients with mild cognitive impairment with Lewy bodies (MCI-LB) and to compare it to that of patients with mild cognitive impairment due to Alzheimer's disease (MCI-AD).@*METHODS@#Subjects older than 60 years with probable MCI-LB (n = 60) or MCI-AD (n = 60) were recruited. All patients were tested with Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) to assess their global cognitive profile.@*RESULTS@#The MCI-AD and MCI-LB patients did not differ in total MMSE and MoCA scores. However, some sub-items in MMSE and MoCA were shown to be screening markers for differentiating MCI-LB from MCI-AD. In the visuoconstructive test, the total score and hands subitem score in the clock-drawing test were significantly lower in MCI-LB than in MCI-AD. As for the executive function, the 'animal fluency test', 'repeat digits backward test' and 'take paper by your right hand' in MMSE all showed lower scores in MCI-LB compared with MCI-AD. As for memory, 'velvet' and 'church' in MoCA and 'ball' and 'national flag' in MMSE had lower scores in MCI-AD than in MCI-LB.@*CONCLUSION@#This study presents the cognitive profile of patients with MCI-LB. In line with the literature on Dementia with Lewy bodies, our results showed lower performance on tests for visuoconstructive and executive function, whereas memory remained relatively spared in the early period.
Subject(s)
Humans , Cognitive Dysfunction , Alzheimer Disease/diagnosis , Neuropsychological Tests , CognitionABSTRACT
The causes of mental disorders are complex, and early recognition and early intervention are recognized as effective way to avoid irreversible brain damage over time. The existing computer-aided recognition methods mostly focus on multimodal data fusion, ignoring the asynchronous acquisition problem of multimodal data. For this reason, this paper proposes a framework of mental disorder recognition based on visibility graph (VG) to solve the problem of asynchronous data acquisition. First, time series electroencephalograms (EEG) data are mapped to spatial visibility graph. Then, an improved auto regressive model is used to accurately calculate the temporal EEG data features, and reasonably select the spatial metric features by analyzing the spatiotemporal mapping relationship. Finally, on the basis of spatiotemporal information complementarity, different contribution coefficients are assigned to each spatiotemporal feature and to explore the maximum potential of feature so as to make decisions. The results of controlled experiments show that the method in this paper can effectively improve the recognition accuracy of mental disorders. Taking Alzheimer's disease and depression as examples, the highest recognition rates are 93.73% and 90.35%, respectively. In summary, the results of this paper provide an effective computer-aided tool for rapid clinical diagnosis of mental disorders.
Subject(s)
Humans , Mental Disorders/diagnosis , Alzheimer Disease/diagnosis , Brain Injuries , Electroencephalography , Recognition, PsychologyABSTRACT
O aumento da expectativa de vida e o envelhecimento populacional têm contribuído para o crescimento da prevalência da doença de Alzheimer (DA), uma vez que o envelhecimento é um dos fatores de risco para o desenvolvimento da forma esporádica da doença. O diagnóstico da DA é essencialmente baseado na avaliação clínica e requer a experiência de profissionais altamente treinados para um diagnóstico conclusivo. No entanto, devido à complexidade da doença e à necessidade de métodos mais precisos, a pesquisa por biomarcadores tem ganhado uma crescente importância. Nos últimos tempos, tem-se observado um aumento significativo no interesse pelo papel dos microRNAs (miRNAs) na regulação da expressão gênica e sua associação com a DA. Os miRNAs são pequenas moléculas de RNA não codificantes que desempenham um papel crucial na regulação de processos celulares. Vários miRNAs foram identificados como potenciais marcadores para o diagnóstico e progressão da DA. O presente estudo objetivou realizar uma busca por miRNAs diferencialmente expressos em líquor cefalorraquidiano (LCR) de pacientes com DA comparados a indivíduos cognitivamente saudáveis, a partir de banco de dados públicos e usando ferramentas de aprendizado de máquina, com validação dos resultados em uma revisão sistemática e a proposição de vias biológicas reguladas. Para isso, a primeira busca foi realizada na plataforma GEO Database e aplicado o algoritmo LightGBM. Posteriormente, a revisão sistemática foi realizada utilizando o PECO população (P): indivíduos idosos, exposição (E): doença de Alzheimer (C): indivíduos cognitivamente saudáveis, desfeixo ou outcome (O): miRNAs diferencialmente expressos no líquor, usando os repositórios eletrônicos: MEDLINE/PubMed (Medical Literature Analysis and Retrieve System Online), Scopus, Cinahl, Web of Science e Embase. A análise de vias foi feita no miRTarBase. Após a sobreposição dos resultados obtidos pelo algoritmo e pela revisão sistemática, foram identificados sete miRNAs mais diferencialmente expressos no líquor de indivíduos com DA: miRNA-1274a, miRNA-193a-5p, miRNA-28-3p, miRNA-30a-3p, miRNA-145, miRNA-19b e miRNA-143. Na análise de enriquecimento de vias, foram identificadas: resposta ao dano no DNA por ATM, sinalização ERBB, sinalização de mensageiro secundário intracelular, sinalização MAPK e sinalização TGF-beta, as quais possuem participação na fisiopatologia da DA. Os resultados sugerem que os miRNA-1274a, miRNA-193a-5p, miRNA-28-3p, miRNA-30a-3p, miRNA-145, miRNA-19b e miRNA-143 podem estar envolvidos nos mecanismos moleculares e nas vias biológicas envolvidas na doença e podem ser no futuro alvos terapêuticos para a DA.
The increase in life expectancy and the aging population have contributed to the growth in the prevalence of Alzheimer's disease (AD), as aging is one of the risk factors for the development of the sporadic form of the disease. The diagnosis of AD is primarily based on clinical evaluation and requires the expertise of highly trained professionals for a conclusive diagnosis. However, due to the complexity of the disease and the need for more precise methods, research on biomarkers has gained increasing importance. In recent times, there has been a significant increase in interest in the role of microRNAs (miRNAs) in gene expression regulation and their association with AD. MiRNAs are small non-coding RNA molecules that play a crucial role in regulating cellular processes. Several miRNAs have been identified as potential markers for the diagnosis and progression of AD. This study aimed to search for differentially expressed miRNAs in the cerebrospinal fluid (CSF) of AD patients compared to cognitively healthy individuals using public databases and machine learning tools, with the validation of the results in a systematic review and the proposal of regulated biological pathways. To do this, the initial search was conducted on the GEO Database platform, and the LightGBM algorithm was applied. Subsequently, the systematic review was performed using the PECO framework Population (P): elderly individuals, Exposure (E): Alzheimer's disease, Control (C): cognitively healthy individuals, Outcome (O): differentially expressed miRNAs in CSF, utilizing the electronic repositories: MEDLINE/PubMed, Scopus, Cinahl, Web of Science, and Embase. Pathway analysis was conducted using miRTarBase. After overlapping the results obtained by the algorithm and the systematic review, seven miRNAs were identified as the most differentially expressed in the CSF of individuals with AD: miRNA-1274a, miRNA-193a-5p, miRNA-28-3p, miRNA-30a-3p, miRNA-145, miRNA-19b, and miRNA-143. In the pathway enrichment analysis, the following pathways were identified: DNA damage response by ATM, ERBB signaling, intracellular second messenger signaling, MAPK signaling, and TGF-beta signaling, all of which have a role in the pathophysiology of AD. The results suggest that miRNA-1274a, miRNA-193a-5p, miRNA-28-3p, miRNA-30a-3p, miRNA-145, miRNA-19b, and miRNA-143 may be involved in the molecular mechanisms and biological pathways associated with the disease and could potentially serve as therapeutic targets for AD in the future.
Subject(s)
Biomarkers , MicroRNAs , Alzheimer Disease/diagnosis , Machine LearningABSTRACT
Alzheimer's disease (AD) is a neurodegenerative disease with insidious onset, posing a serious threat to human physical and mental health. The cognitive impairments caused by AD are generally diffuse and overlap symptomatically with other neurodegenerative diseases. Moreover, the symptoms of AD are often covert, leading to missed opportunities for optimal treatment after diagnosis. Therefore, early diagnosis of AD is crucial. In vitro diagnostic biomarkers not only contribute to the early clinical diagnosis of AD but also aid in further understanding the disease's pathogenesis, predicting disease progression, and observing the effects of novel candidate therapeutic drugs in clinical trials. Currently, although there are numerous biomarkers associated with AD diagnosis, the complex nature of AD pathogenesis, limitations of individual biomarkers, and constraints of clinical detection methods have hindered the development of efficient, cost-effective, and convenient diagnostic methods and standards. This article provides an overview of the research progress on in vitro diagnostic biomarkers and detection methods related to AD in recent years.
Subject(s)
Humans , Alzheimer Disease/diagnosis , Neurodegenerative Diseases , Early Diagnosis , Cognitive Dysfunction , BiomarkersABSTRACT
Alzheimer's disease (AD) is a neurodegenerative disease with insidious onset, posing a serious threat to human physical and mental health. The cognitive impairments caused by AD are generally diffuse and overlap symptomatically with other neurodegenerative diseases. Moreover, the symptoms of AD are often covert, leading to missed opportunities for optimal treatment after diagnosis. Therefore, early diagnosis of AD is crucial. In vitro diagnostic biomarkers not only contribute to the early clinical diagnosis of AD but also aid in further understanding the disease's pathogenesis, predicting disease progression, and observing the effects of novel candidate therapeutic drugs in clinical trials. Currently, although there are numerous biomarkers associated with AD diagnosis, the complex nature of AD pathogenesis, limitations of individual biomarkers, and constraints of clinical detection methods have hindered the development of efficient, cost-effective, and convenient diagnostic methods and standards. This article provides an overview of the research progress on in vitro diagnostic biomarkers and detection methods related to AD in recent years.
Subject(s)
Humans , Alzheimer Disease/diagnosis , Neurodegenerative Diseases , Early Diagnosis , Cognitive Dysfunction , BiomarkersABSTRACT
Objetivos: estabelecer diagnóstico diferencial das demências em ambulatório de geriatria no Distrito Federal, calculando-se sua prevalência por meio de exame clínico e avaliação multifuncional. Método: estudo longitudinal, retrospectivo, com amostra de pessoas com 60 anos ou mais residentes no Distrito Federal-Brasil, com déficit cognitivo caracterizado por Transtorno Neurocognitivo (TNC) Maior (demência), cadastradas durante os anos de 2010 a 2018. A coleta de dados foi realizada em prontuários para selecionar e avaliar o perfil do idoso com diagnóstico de TNC seguida de avaliação geriátrica ampla e avaliação multifuncional. A análise de dados foi realizada com o cálculo da prevalência, estatística descritiva e índice V de Cramer. Resultados: 158 indivíduos conseguiram concluir todas as avalições. 52,5% possuem de 80 a 89 anos, 62,5% são mulheres e 62,7% caucasianos, 50,6% viúvos e 47,5% analfabetos. A prevalência inicial de Doença de Alzheimer (DA) foi de 45,6%, reduzindo-se para 35,4% após um período de acompanhamento e a demência vascular (DV) foi de 34,2%, inicialmente, e 45,6% ao final. Utilizou-se o Coeficiente V de Cramer, em que se encontrou uma relação fraca de fatores de risco com os diagnósticos das demências apresentados. Conclusão: DV foi a mais prevalente na área estudada. Entende-se ser a maior frequência de DA esteja relacionada à avaliação superficial uma vez que esse tipo de demência é mundialmente mais frequente
Objetivos: estabelecer diagnóstico diferencial das demências em ambulatório de geriatria no Distrito Federal, calculando-se sua prevalência por meio de exame clínico e avaliação multifuncional. Método: estudo longitudinal, retrospectivo, com amostra de pessoas com 60 anos ou mais residentes no Distrito Federal-Brasil, com déficit cognitivo caracterizado por Transtorno Neurocognitivo (TNC) Maior (demência), cadastradas durante os anos de 2010 a 2018. A coleta de dados foi realizada em prontuários para selecionar e avaliar o perfil do idoso com diagnóstico de TNC seguida de avaliação geriátrica ampla e avaliação multifuncional. A análise de dados foi realizada com o cálculo da prevalência, estatística descritiva e índice V de Cramer. Resultados: 158 indivíduos conseguiram concluir todas as avalições. 52,5% possuem de 80 a 89 anos, 62,5% são mulheres e 62,7% caucasianos, 50,6% viúvos e 47,5% analfabetos. A prevalência inicial de Doença de Alzheimer (DA) foi de 45,6%, reduzindo-se para 35,4% após um período de acompanhamento e a demência vascular (DV) foi de 34,2%, inicialmente, e 45,6% ao final. Utilizou-se o Coeficiente V de Cramer, em que se encontrou uma relação fraca de fatores de risco com os diagnósticos das demências apresentados. Conclusão: DV foi a mais prevalente na área estudada. Entende-se ser a maior frequência de DA esteja relacionada à avaliação superficial uma vez que esse tipo de demência é mundialmente mais frequente
Subject(s)
Humans , Male , Female , Middle Aged , Aged , Aged, 80 and over , Geriatric Assessment/methods , Dementia/diagnosis , Dementia/epidemiology , Brazil/epidemiology , Dementia, Vascular/diagnosis , Dementia, Vascular/epidemiology , Prevalence , Retrospective Studies , Risk Factors , Longitudinal Studies , Diagnosis, Differential , Ecological Studies , Alzheimer Disease/diagnosis , Alzheimer Disease/epidemiology , Mental Status and Dementia TestsABSTRACT
RESUMEN: Los biomarcadores más estudiados en la demencia tipo Alzheimer (DA) son los niveles elevados de Aβ42 y de proteína Tau en líquido cefalorraquídeo. Dada la complejidad de la sintomatología cognitiva y síntomas neuropsiquiátricos (SNP) de esta patología, algunos estudios recientes proponen sustancias como las orexinas, como blanco terapéutico de DA y SNP. El presente trabajo tiene como objetivo revisar publicaciones científicas recientes que hayan analizado la asociación entre orexinas, SNP y DA en humanos, algunos modelos animales y que hayan evaluado a las orexinas como posibles biomarcadores tanto para investigación como en el área clínica. En esta revisión también se describen los estudios que sugieren a las orexinas como un posible biomarcador en la DA, dada su relación con el Aβ42 y la proteína Tau, y otros estudios que las asocian con presencia de SNP, especialmente alteración del sueño. Se plantea la hipótesis de que la presencia de SNP en DA se asocia con las orexinas, debido a que este sistema influye en el funcionamiento hipotalámico y de forma indirecta en áreas cerebrales que regulan el comportamiento. Sin embargo, aún falta mayor investigación, principalmente de estudios longitudinales para conocer claramente la influencia de las orexinas en los SNP.
ABSTRACT The most studied biomarkers in Alzheimer's dementia (AD) are elevated levels of Aβ42 and Tau protein in cerebrospinal fluid. Given the complexity of the cognitive symptomatology and neuropsychiatric symptoms (NPS) of this pathology, some recent studies propose substances such as orexins as a therapeutic target for AD and NPS. The present work aims to review recent scientific publications that have analyzed the association between orexins, PNS and AD in humans. There are some animal models that have evaluated orexins as possible biomarkers both for research and in the clinical area. This review also describes studies that suggest orexins as possible biomarkers in AD, given their relationship with Aβ42 and Tau protein, and other studies that associate them with the presence of SNPs, especially sleep disturbance. It is hypothesized that the presence of SNPs in AD is associated with orexins, because this system influences hypothalamic functioning and indirectly in brain areas that regulate behavior. However, further research is still lacking, mainly longitudinal studies to clearly know the influence of orexins on SNPs.
Subject(s)
Humans , Alzheimer Disease/diagnosis , Alzheimer Disease/metabolism , Orexins/metabolism , Sleep Wake Disorders , Biomarkers , Dementia , Alzheimer Disease/physiopathologyABSTRACT
The electroencephalogram (EEG) signal is a general reflection of the neurophysiological activity of the brain, which has the advantages of being safe, efficient, real-time and dynamic. With the development and advancement of machine learning research, automatic diagnosis of Alzheimer's diseases based on deep learning is becoming a research hotspot. Started from feedforward neural networks, this paper compared and analysed the structural properties of neural network models such as recurrent neural networks, convolutional neural networks and deep belief networks and their performance in the diagnosis of Alzheimer's disease. It also discussed the possible challenges and research trends of this research in the future, expecting to provide a valuable reference for the clinical application of neural networks in the EEG diagnosis of Alzheimer's disease.
Subject(s)
Humans , Alzheimer Disease/diagnosis , Neural Networks, Computer , Machine Learning , Brain , ElectroencephalographyABSTRACT
Alzheimer's disease (AD) is an age-related neurodegenerative disorder. It is expected that the incidence of AD will increase exponentially in the coming decades. The clinical and research application of AD biomarkers has gone through a long process. At present, the clinical diagnostic criteria for AD mainly include the IWG-2 criteria developed by International Working Group (IWG), the NIA-AA criteria formulated by the National Institute on Aging and Alzheimer's Association (NIA-AA) and the "Guidelines for the Diagnosis and Treatment of Alzheimer's Disease in China (2020 version)" released by the Professional Committee on Alzheimer's Disease and Related Diseases of the Chinese Geriatric Health Care Association (Alzheimer's Disease Chinese, ADC). Cerebrospinal fluid biomarkers such as Aβ42, T-tau and P-tau are recognized as central biomarkers for AD, besides, the development of new molecules in other pathophysiological pathway that can be used as biomarkers for the diagnosis of AD have made great progress in the last decade. This article elaborates studies of the application guidelines of AD biomarkers and highlights the research progress of biomarkers in AD pathophysiological pathway.
Subject(s)
Aged , Humans , Alzheimer Disease/diagnosis , Biomarkers , China , United StatesABSTRACT
Objetivo: Comparar o impacto do exercício físico no comportamento de idosas com Alzheimer em uma Instituição de longa permanecia para idosos. Método: Ensaio clínico não randomizado, com nove idosas com Doença de Alzheimer, residentes em uma instituição de longa permanência. Que foram submetidas diariamente, por quatro semanas, à aplicação de dois questionários, um para estabelecer o perfil individual de cada moradora, e outro para análise dos comportamentos característicos da doença. Resultados: Observa-se que nove dentre os medicamentos consumidos possuíam características para modulação comportamental (55,56% Quetiapina; 22,22% Depakote e/ou Exelon Patch; 11,11% de Donaren, Donepezila, Donila Duo, Escitalopran, Exodus e/ou Sertralina); após quatro semanas, 44,44% (n=4) das moradoras apresentaram diminuição das alterações comportamentais, para os períodos com exercício físico (p<0,05); as médias de alterações comportamentais da amostra total, foram de 0,76±0,38 e 1,60±0,70 para os períodos com e sem exercício físico, respectivamente (p<0,05); e comportamentos como "agressividade direcionada a equipe", "irritabilidade" e "outras alterações", apresentaram Δ de variação de 0,80; 2,04; e 1,21; respectivamente (p<0,05). Conclusão: A inclusão de exercícios físicos de maneira regular, em uma Instituição de longa permanecia para idosos, é capaz de reduzir alterações comportamentais à curto prazo em idosas com Doença de Alzheimer institucionalizadas. (AU)
Objective: Comparison of the impact of physical exercise on the behavior of elderly women with Alzheimer's in a long-stay institution for the elderly. Methods: Non-randomized clinical trial, with nine elderly women with Alzheimer's Disease, residing in a long-term institution. They were submitted daily, for four weeks, to the application of two questionnaires, one to establish the individual profile of each resident, and the other to analyze the characteristic characteristics of the disease. Results: It is observed that nine among the drugs consumed had characteristics for behavioral modulation (55.56% Quetiapine; 22.22% Depakote and/or Exelon Patch; 11.11% of Donaren, Donepezila, Donila Duo, Escitalopran, Exodus and / or Sertraline); after four weeks, 44.44% (n = 4) of residents reduced behavioral changes for periods with physical exercise (p < 0.05); as means of behavioral changes in the total sample, they were 0.76 ± 0.38 and 1.60 ± 0.70 for the periods with and without physical exercise, respectively (p < 0.05); and behavior such as "aggressiveness directed at the team", "irritability" and "other changes", similar to a variation of 0.80; 2.04; and 1.21; respectively (p<0.05). Conclusion: The inclusion of physical exercise on a regular basis, in a long-stay institution for the elderly, is capable of reducing short-term behavioral changes in institutionalized elderly women with Alzheimer's Disease. (AU)
Objetivo: Comparación del impacto del ejercicio físico en el comportamiento de mujeres mayores con Alzheimer en una institución de larga estancia para ancianos. Métodos: Ensayo clínico no aleatorizado, con nueve ancianas con enfermedad de Alzheimer, residentes en una institución de larga duración. Fueron sometidos diariamente, durante cuatro semanas, a la aplicación de dos cuestionarios, uno para establecer el perfil individual de cada residente y otro para analizar las características características de la enfermedad. Resultados: Se observa que nueve de los fármacos consumidos tenían características de modulación conductual (55,56% Quetiapina; 22,22% Depakote y / o Exelon Patch; 11,11% de Donaren, Donepezila, Donila Duo, Escitalopran, Exodus y / o Sertralina); después de cuatro semanas, el 44,44% (n = 4) de los residentes redujeron los cambios de comportamiento por períodos con ejercicio físico (p <0,05); como medias de los cambios de comportamiento en la muestra total fueron 0,76 ± 0,38 y 1,60 ± 0,70 para los períodos con y sin ejercicio físico, respectivamente (p <0,05); y comportamientos como "agresividad dirigida al equipo", "irritabilidad" y "otros cambios", similar a una variación de 0,80; 2,04; y 1,21; respectivamente (p <0,05). Conclusión: La inclusión de ejercicio físico de forma regular, en una institución de larga estancia para ancianos, es capaz de reducir los cambios conductuales a corto plazo en mujeres ancianas institucionalizadas con enfermedad de Alzheimer. (AU)
Subject(s)
Humans , Female , Aged, 80 and over , Exercise , Alzheimer Disease , Homes for the Aged , Analysis of Variance , Alzheimer Disease/diagnosisABSTRACT
Abstract Background: The Cambridge Cognition Examination (CAMCOG) is one of the most used cognitive assessment batteries for older adults. Objective: To evaluate a brief version of the CAMCOG for illiterate older adults (CAMCOG-BILL) with Alzheimer's dementia (AD) and healthy controls (CG). Methods: Cross-sectional case-control study with 246 illiterate older adults (AD [n=159] and CG [n=87], composed by healthy seniors without cognitive complaints) who never attended school or took reading or writing lessons. Diagnosis of AD was established based on the NIA-AA and DSM-5 criteria. All participants were assessed with the CAMCOG by a researcher blinded for diagnosis. To assess the consistency of the chosen CAMCOG-BILL sub-items, we performed a binary logistic regression analysis. Results: Both the CAMCOG and the CAMCOG-BILL had satisfactory psychometric properties. The area under the curve (AUC) was 0.932 (p<0.001) for the original version of CAMCOG and 0.936 for the CAMCOG-BILL. Using a cut-off score of ≥60 (CAMCOG) and ≥44 (CAMCOG-BILL), both instruments had the same sensitivity and specificity (89 and 96%, respectively). Conclusion: The CAMCOG-BILL may be a preferred tool because of the reduced test burden for this vulnerable subgroup of illiterate patients with dementia.
RESUMO Antecedentes: O Cambridge Cognition Examination (CAMCOG) é uma das baterias de avaliação cognitiva mais usadas para idosos. Objetivos: Avaliar uma versão breve do CAMCOG para idosos analfabetos (CAMCOG-BILL) com demência de Alzheimer (DA) em comparação com controles saudáveis não demenciados (GC). Métodos: Estudo caso-controle transversal com 246 idosos analfabetos (AD [n=159] e GC [n=87], composto por idosos saudáveis sem queixas cognitivas) que nunca frequentaram a escola ou fizeram aulas de leitura ou redação. O diagnóstico de DA foi estabelecido pelos critérios NIA-AA e DSM-5. Todos os participantes foram avaliados por meio do CAMCOG por avaliador cego, para o diagnóstico dos grupos. Para avaliar a consistência dos subitens escolhidos do CAMCOG-BILL, realizou-se uma análise de regressão logística binária. Resultados: Tanto o CAMCOG quanto o CAMCOG-BILL apresentaram propriedades psicométricas satisfatórias. A área sob a curva (AUC) foi de 0,932 (p<0,001) para a versão original do CAMCOG e de 0,936 para o CAMCOG-BILL. Usando-se uma pontuação de corte de ≥60 (CAMCOG) e ≥44 (CAMCOG-BILL), ambos os instrumentos tiveram a mesma sensibilidade e especificidade (89 e 96%, respectivamente). Conclusão: O CAMCOG-BILL pode ser preferido para reduzir a sobrecarga do teste para esse subgrupo vulnerável de pacientes analfabetos com demência.
Subject(s)
Humans , Aged , Alzheimer Disease/diagnosis , Case-Control Studies , Cross-Sectional Studies , Sensitivity and Specificity , Neuropsychological TestsABSTRACT
INTRODUCCIÓN: Comunicar el diagnóstico de demencia es un importante desafío médico, por lo que tiende a ser una práctica poco frecuente no obstante el derecho de los pacientes a ser informados de sus diagnósticos. En Chile, existe investigación que describe las implicancias del diagnóstico de demencia en el sistema familiar y cuidadores informales, pero no se ha abordado esta experiencia desde la perspectiva de los pacientes, por lo que sus implicancias son también desconocidas. OBJETIVO: Describir las experiencias luego del diagnóstico de demencia desde la perspectiva de los pacientes. MATERIAL Y MÉTODO: Estudio cualitativo. Se realizó entrevistas a 11 personas, 6 hombres y 5 mujeres, con edad promedio 70 años (64-82), quienes recibieron el diagnóstico de demencia tipo Alzheimer en etapa leve y fueron informados de su diagnóstico por Neuróloga tratante. Las entrevistas transcritas fueron analizadas mediante análisis de contenido con codificación abierta, usando software NVivo 11.0 Pro. RESULTADOS: Las siguientes cinco categorías temáticas genéricas fueron producidas a partir del análisis de las entrevistas, describiendo la experiencia de los pacientes luego de recibir el diagnóstico: rol capacitante de la familia, ser informado/a sobre la demencia, autoestigma, ambivalencia en contar el diagnóstico, y estrategias de adaptación al diagnóstico. CONCLUSIONES: Los resultados de este estudio informan de necesidades específicas de los pacientes luego de ser informados del diagnóstico de demencia tipo Alzheimer. Se presentan consideraciones para el abordaje local del diagnóstico por equipos de salud y apoyo social que enfrentan el desafío de planificar la atención de personas con trastornos cognitivos y sus familias.
INTRODUCTION: Communicating the diagnosis of dementia is a medical challenge. Despite the the patients' right to be informed of their diagnosis, diagnostic disclosure is globally underperformed. In Chile, previous research has addressed the implications of diagnosis from the perspectives of families and family caregivers, but the perspectives and implications from the patients' perspectives remain unknown. OBJECTIVE: To describe the experiences of patients following the diagnosis of dementia. MATERIAL AND METHODS: Qualitative study. Interviews were performed to 11 individuals who had received the diagnosis of early-stage dementia of the Alzheimer's type, 5 women and 6 men, average age 70 years old (64-82). Interviews transcripts were analyzed using content analysis with open coding, using software NVivo 11.0 Pro. RESULTS: The following five generic categories were produced from the interpretation of interviews to describe the experience of patients after being informed of a diagnosis of dementia: the enabling role of families, being informed about dementia, self-stigma, ambivalence on sharing the diagnosis, and coping strategies. CONCLUSIONS: Findings report specific unmet needs of patients who have been communicated of the diagnosis of dementia of the Alzheimer's type. Suggestions are presented to inform local health care and social support teams that face the challenge of developing interventions to support people with dementia and their families.
Subject(s)
Humans , Male , Female , Middle Aged , Aged , Aged, 80 and over , Patients/psychology , Dementia/diagnosis , Dementia/psychology , Truth Disclosure , Adaptation, Psychological , Interviews as Topic , Qualitative Research , Family Relations , Social Stigma , Alzheimer Disease/diagnosis , Alzheimer Disease/psychologySubject(s)
Humans , Saliva/chemistry , Biomarkers/analysis , Alzheimer Disease/diagnosis , Early DiagnosisABSTRACT
Dementia is a syndrome characterized by a decline of two or more cognitive functions, affecting social or professional life. Alzheimer's Disease is a neurodegenerative disorder that represents 53% of dementia cases; memory loss, inability to recognize faces, impaired judgement, disorientation and confusion are possible common symptoms. Vascular Dementia is responsible for 42% of dementia cases, due to cerebrovascular pathologies, and the clinical aspects are related to the extension and location of the brain injury. Lewy Bodies Dementia is a neurodegenerative disorder that represents 15% of dementia cases, and its symptoms include visual hallucinations, parkinsonism and fluctuating cognitive decline. Frontotemporal dementia is a group of clinical syndromes, divided in Behavioral-variant, characterized by disinhibition, compulsions, apathy, aberrant sexual behavior and executive dysfunction; and Primary Progressive Aphasia, which is subdivided in Nonfluentvariant and Semantic-variant. Vitamin B12 deficiency is a reversible cause of dementia, with a wide clinical feature, that includes psychiatric symptoms such as depression and irritability, hematological symptoms related to anemia (e.g. dyspnea and fatigue), and neurological symptoms including dementia and neuropathy. Normal pressure hydrocephalus is also reversible, presenting forgetfulness, changes in mood, decline of executive functions, reduced attention, and a lack of interest in daily activities as symptoms. The radiological findings vary depending on the etiology of dementia. For that reason, understanding neuroimaging and clinical aspects is important to diagnose effectively.
A demência é uma síndrome que consiste em um declínio de um ou mais domínios cognitivos, que afeta o desempenho social ou profissional do indivíduo. A Doença de Alzheimer é um transtorno neurocognitivo que representa 53% dos casos de demência; seus sintomas podem incluir perda de memória, incapacidade de reconhecer rostos familiares, julgamento comprometido desorientação e confusão mental. A Demência Vascular é responsável por 42% dos casos de demência e é causada por doenças cerebrovasculares, seus achados clínicos são relacionados com o local e com a extensão do dano cerebral. Já a Demência por Corpos de Lewy é uma doença neurocognitiva que representa 15% dos casos de demência, cujos sintomas incluem alucinações visuais, parkinsonismo e flutuação cognitiva. A Demência Frontotemporal, por sua vez, é um grupo de síndromes, que se dividem em variante comportamental caracterizada por desinibição, compulsão, apatia, hipersexualidade e disfunções executivas e Afasia Progressiva Primária, subdividida em variante não-fluente e variante semântica, que cursam com disfunções da linguagem. Há, ainda, a Deficiência de Vitamina B12, uma causa reversível de demência. Ela possui um quadro clínico variado, que inclui sintomas psiquiátricos, como depressão e irritabilidade, sintomas hematológicos relacionados a anemia, como dispneia e fadiga) e sintomas neurológicos, que incluem demência e neuropatias. Uma outra causa reversível é a Hidrocefalia de Pressão Normal, que se apresenta com esquecimentos, alterações de humor, perda de função executiva e redução da atenção e do interesse nas atividades cotidianas. Os achados de neuroimagem variam dependendo da etiologia da demência. Assim, compreender os aspectos clínicos e radiológicos é importante para um diagnóstico efetivo..
Subject(s)
Humans , Male , Female , Aged , Dementia, Vascular/diagnosis , Dementia/complications , Dementia/epidemiology , Alzheimer Disease/diagnosis , Alzheimer Disease/epidemiology , Vitamin B 12 Deficiency/etiology , Prevalence , Cerebrum/diagnostic imaging , Neuroimaging/methods , Cognitive Dysfunction , Mental Status and Dementia Tests , Hydrocephalus, Normal Pressure/etiology , Memory DisordersABSTRACT
Although malnutrition and risk of falls in the elderly have increased in recent years, uncertainties exist as to whether these conditions are associated after controlling for sociodemographic variables, body composition, metabolic condition, and Alzheimer's disease (AD). This study aimed to analyze the association between nutritional status and risk of fall in the elderly population. Participants were matched by gender and age, after they had been grouped on the basis of diagnosis of AD. The risk of falls, nutritional status, and mental status were assessed using the Downton Fall Risk Score (FRS), Mini Nutritional Assessment (MNA), and Mini Mental State Evaluation (MMSE), respectively. Logistic regression modelsadjusted for the main confounders were used in the analyses. Among the 68 elderly individuals studied, participants who were malnourished or at risk of malnutrition were more likely to fall (odds ratio = 8.29; 95% confidence interval = 1.49-46.04) than those with normal nutritional status, regardless of gender, age, education, body composition, and metabolic condition. This association did not remain significant after adjustment for AD, a potential confounder in this association. Malnutrition or its risk was independently associated with high risk of fall; thus, malnutrition should be considered in the prevention of falls among the elderly population.
Subject(s)
Humans , Male , Female , Accidental Falls/prevention & control , Elderly Nutrition , Alzheimer Disease/complications , Alzheimer Disease/diagnosis , Alzheimer Disease/metabolism , Body Composition/physiology , Aged/physiology , Aging/physiology , Nutritional Status/physiology , Dementia/complications , Malnutrition/complications , Metabolism/physiologyABSTRACT
The pathogenesis of Alzheimer's disease (AD), a common neurodegenerative disease, is still unknown. It is difficult to determine the atrophy areas, especially for patients with mild cognitive impairment (MCI) at different stages of AD, which results in a low diagnostic rate. Therefore, an early diagnosis model of AD based on 3-dimensional convolutional neural network (3DCNN) and genetic algorithm (GA) was proposed. Firstly, the 3DCNN was used to train a base classifier for each region of interest (ROI). And then, the optimal combination of the base classifiers was determined with the GA. Finally, the ensemble consisting of the chosen base classifiers was employed to make a diagnosis for a patient and the brain regions with significant classification capability were decided. The experimental results showed that the classification accuracy was 88.6% for AD
Subject(s)
Humans , Alzheimer Disease/diagnosis , Brain/diagnostic imaging , Cognitive Dysfunction/diagnosis , Early Diagnosis , Magnetic Resonance Imaging , Neural Networks, Computer , Neurodegenerative DiseasesABSTRACT
Introdução: A neuroinflamação associada às células gliais é um elemento importante do processo patológico da doença de Alzheimer (DA). Este estudo apresenta uma revisão dos marcadores gliais quitinase 3-like 1 (YKL-40), do receptor desencadeado expresso nas células mieloides 2 (Triggering receptor expressed on myeloid cells 2 TREM2), da proteína acídica fibrilar glial (GFAP) e da proteína B S100 ligante de cálcio (S100B). Métodos: Nesta revisão são analisados os marcadores gliais YKL-40, TREM2, GFAP e S100B presentes em sangue e/ou líquido cefalorraquidiano (LCR), a partir de estudos publicados até 2020 nos bancos de dados do PubMed, Medline e Periódicos Capes. Resultados: Foram recuperados 233 documentos, dentre os quais foram incluídos 60. Todos os marcadores se encontram aumentados na DA em LCR YKL-40 e TREM2 solúvel (sTREM2), já na fase pré-clínica , e em sangue, e estão correlacionados ao declínio cognitivo. No entanto, nenhum dos marcadores analisados apresentou grande potencial para o diagnóstico diferencial. Além da proteína TREM2 solúvel no LCR, no sangue também se pode identificar alteração nos níveis do RNAm de TREM2. GFAP sanguíneo mostra ser o melhor em distinguir controles de pacientes com Alzheimer. Há evidências de um efeito protetivo da ativação glial em reação ao acúmulo amiloide. Conclusão: Os marcadores gliais no geral têm pouca utilidade para o diagnóstico diferencial, mas podem auxiliar no prognóstico e como biomarcadores inespecíficos para doenças neurodegenerativas. (AU)
Introduction: Glial cell-associated neuroinflammation is a driving force for the pathological process of Alzheimer's disease (AD). This study is a systematic review aimed to analyze the following glial markers: chitinase-3-like protein 1 (YKL-40), triggering receptor expressed on myeloid cells 2 (TREM2), glial fibrillary acidic protein (GFAP) and S100 calcium-binding protein B (S100B). Methods: The PubMed, MEDLINE and CAPES Journals databases were searched for studies published until 2020 that addressed blood and/or cerebrospinal fluid (CSF) levels of YKL-40, TREM2, GFAP and S100B. Results: A total of 233 articles were retrieved, of which 60 were included in this study. All CSF YKL-40 and soluble TREM2 (sTREM2) in preclinical stage and blood biomarker levels were elevated for AD and were correlated to cognitive decline. None of the analyzed biomarkers showed promising results for differential diagnosis. Besides CSF sTREM2 levels, blood TREM2 mRNA levels were also altered in AD. Blood GFAP levels seem to be the best option for distinguishing controls from AD patients.' There is evidence of a protective role of glial activation in amyloid accumulation. Conclusion: Glial markers in general are of little use for differential diagnosis but can assist in prognosis and as nonspecific biomarkers of neurodegenerative diseases. (AU)
Subject(s)
Biomarkers , Neuroglia , Alzheimer Disease/diagnosis , Membrane Glycoproteins , Receptors, Immunologic , S100 Calcium Binding Protein beta Subunit , Chitinase-3-Like Protein 1 , Glial Fibrillary Acidic ProteinABSTRACT
Abstract Spatial disorientation has been observed in mild cognitive impairment (MCI) and is associated with a higher risk of progression to Alzheimer's disease (AD). However, there is no gold standard assessment for spatial orientation and paper-and-pencil tests lack ecological validity. Recently, there has been an increasing number of studies demonstrating the role of spatial disorientation as a cognitive marker of pathological decline, shedding new light on its importance for MCI. This systematic review aimed to investigate the accuracy of spatial orientation tasks for the diagnosis of MCI by comparison with cognitively healthy elderly. The search was conducted in the databases Medical Literature Analysis and Retrieval System Online (MEDLINE/PubMed), Web of Science, Scopus, Excerpta Medica Database (Embase), Literatura Latino-Americana e do Caribe em Ciências da Saúde (Lilacs) and Scientific Electronic Library Online (SciELO). Only original studies reporting spatial orientation assessment in MCI patients compared to a healthy control group were included. Studies were excluded if the MCI classification did not follow well described criteria and/or if accuracy results of spatial orientation assessment were not provided. Seven studies met the eligibility criteria, describing a variety of spatial orientation assessments including questionnaires, paper-and-pencil, office-based route learning, and computer-based and virtual reality tasks. Spatial orientation tasks demonstrated moderate to high accuracy in detecting elderly with MCI compared to cognitively healthy elderly, with areas under the curve (AUC) ranging from 0.77 to 0.99. However, important methodological issues were found in the selected studies which should be considered when interpreting results. Although the inclusion of spatial orientation assessments in MCI evaluations seems to have significant value, further studies are needed to clarify their true capacity to distinguish pathological from non-pathological aging.
RESUMO A ocorrência de desorientação espacial foi observada no comprometimento cognitivo leve (CCL) e está associada a um maior risco de progressão para a doença de Alzheimer (DA). No entanto, não há um padrão ouro para avaliação da orientação espacial e os testes em papel e caneta não apresentam validade ecológica. Recentemente, um número cada vez maior de estudos têm apontado o papel da desorientação espacial como um marcador cognitivo do declínio patológico, lançando uma nova luz sobre sua importância para o CCL. Esta revisão sistemática teve como objetivo investigar a acurácia de tarefas de orientação espacial para se estabelecer o diagnóstico de CCL entre idosos cognitivamente saudáveis. A pesquisa foi realizada através das bases de dados Medline/PubMed, Web of Science, Scopus, Embase, Lilacs e Scielo. Apenas artigos originais que reportassem avaliação da orientação espacial em idosos CCL comparados a um grupo controle saudável foram incluídos. Foram excluídos os estudos que não utilizassem a classificação de CCL segundo critérios bem descritos e/ou que não reportassem resultados de acurácia da avaliação da orientação espacial. Sete estudos atenderam aos critérios de elegibilidade, descrevendo uma variedade de formas de avaliação da orientação espacial, incluindo questionários, tarefas em papel e lápis, tarefas de aprendizado de rotas no escritório, tarefas baseadas em computador e com realidade virtual. As tarefas de orientação espacial demonstraram acurácia moderada a alta na detecção de CCL em comparação com idosos cognitivamente saudáveis, com áreas sob a curva (area under the curve — AUC) variando de 0,77 a 0,99. No entanto, um viés metodológico importante foi identificado nos estudos selecionados, o que deve ser levado em consideração na interpretação dos resultados. Apesar da inclusão da orientação espacial na avaliação cognitiva em CCL parecer ter um valor significativo, mais estudos são necessários para esclarecer sua verdadeira capacidade de distinguir o envelhecimento patológico do não patológico.
Subject(s)
Humans , Aged , Alzheimer Disease/diagnosis , Cognitive Dysfunction/diagnosis , Sensitivity and Specificity , Disease Progression , Orientation, SpatialABSTRACT
The prevalence of Alzheimer's disease (AD), a progressive neurodegenerative disorder, is expected to more than double by 2050. Studies on the pathophysiology of AD have been changing our understanding of this disorder and setting a new scenario for drug development and other therapies. Concepts like the "amyloid cascade" and the "continuum of AD," discussed in this article, are now well established. From updated classifications and recommendations to advances in biomarkers of AD, we aim to critically assess the literature on AD, addressing new definitions and challenges that emerged from recent studies on the subject. Updates on the status of major clinical trials are also given, and future perspectives are discussed.