The critical role of primary care clinicians (PCCs) in Alzheimer's disease (AD) prevention, diagnosis and management must evolve as new treatment paradigms and disease-modifying therapies (DMTs) emerge. Our understanding of AD has grown substantially: no longer conceptualized as a late-in-life syndrome of cognitive and functional impairments, we now recognize that AD pathology builds silently for decades before cognitive impairment is detectable. Clinically, AD first manifests subtly as mild cognitive impairment (MCI) due to AD before progressing to dementia. Emerging optimism for improved outcomes in AD stems from a focus on preventive interventions in midlife and timely, biomarker-confirmed diagnosis at early signs of cognitive deficits (i.e. MCI due to AD and mild AD dementia). A timely AD diagnosis is particularly important for optimizing patient care and enabling the appropriate use of anticipated DMTs. An accelerating challenge for PCCs and AD specialists will be to respond to innovations in diagnostics and therapy for AD in a system that is not currently well positioned to do so. To overcome these challenges, PCCs and AD specialists must collaborate closely to navigate and optimize dynamically evolving AD care in the face of new opportunities. In the spirit of this collaboration, we summarize here some prominent and influential models that inform our current understanding of AD. We also advocate for timely and accurate (i.e. biomarker-defined) diagnosis of early AD. In doing so, we consider evolving issues related to prevention, detecting emerging cognitive impairment and the role of biomarkers in the clinic.

https://onlinelibrary.wiley.com/doi/pdf/10.1111/joim.13244

Practical recommendations for timely, accurate diagnosis of symptomatic Alzheimer's disease (MCI and dementia) in primary care: a review and synthesis.

Longitudinal assessment of cognitive decline in amnestic mild cognitive impairment (aMCI) and Alzheimer’s disease (AD) often involves the use of both informant-based and objective cognitive assessments. As efforts have focused on identifying individuals in pre-clinical stages, instruments that are sensitive to subtle cognitive changes are needed. The Alzheimer’s Questionnaire (AQ) has demonstrated high sensitivity and specificity in identifying aMCI and AD; however its ability to measure longitudinal change has not been assessed. The aims of this study are to assess the sensitivity to change of the AQ and to determine whether the AQ predicts change in global cognition and function in cognitively normal (CN), aMCI, and AD subjects. Data from 202 individuals participating in a brain and body donation program were utilized for this study (101 CN, 62 aMCI, 39 AD). AD and aMCI individuals were matched on age, education, and gender to CN individuals. Sensitivity to change of the AQ was assessed in addition to the AQ’s ability to predict change in global cognition and function. The Mini Mental State Exam (MMSE) and Functional Activities Questionnaire (FAQ) were used as gold standard comparisons of cognition and function. Sample size calculations for a 25% treatment effect were also carried out for all three groups. The AQ demonstrated small sensitivity to change in the aMCI and CN groups (d = 0.33, d = 0.23, respectively) and moderate sensitivity to change in the AD group (d = 0.43). The AQ was associated with increases in the Clinical Dementia Rating Global Score (OR = 1.20 (1.09, 1.32), P <0.001). Sample size calculations found that the AQ would require substantially fewer subjects than the MMSE given a 25% treatment effect. Although the AQ demonstrated small sensitivity to change in aMCI and CN individuals in terms of effect size, the AQ may be superior to objective cognitive tests in terms of required sample size for a clinical trial. As clinicians and researchers continue to identify and treat individuals in earlier stages of AD, there is a need for instruments that are sensitive to cognitive changes in these earlier stages.

/pdf/sensitivity-to-change-and-prediction-of-global-change-for-3cl8hv1d22.pdf

Sensitivity to change and prediction of global change for the Alzheimer’s Questionnaire

Resumen Introduccion El deterioro cognitivo es una entidad clinica en la que las funciones intelectuales estan parcial o totalmente alteradas y supone un problema de salud publica y un reto para los servicios sanitarios y sociales. El objetivo de este trabajo es estimar la prevalencia de estos trastornos en la poblacion mayor de 65 anos que consulta en atencion primaria en 5 redes centinelas sanitarias. Metodo Se realizo el test Mini-Cog de cribado de deterioro cognitivo en una muestra de pacientes que acudieron a su medico de familia en 4 dias seleccionados al azar. La confirmacion se hizo con el test Mini-Mental y el Alzheimer's Questionnaire. Se estimaron tasas brutas y ajustadas por las variables demograficas y sociales. Resultados Se estudiaron 4.624 pacientes, que representan a una poblacion de 1.723.216 personas de 5 comunidades autonomas. La prevalencia ajustada para el conjunto de la poblacion estudiada fue del 18,5% (IC 95% 17,3-19,7), con diferencias entre las redes centinelas. Las mujeres presentan tasas ajustadas significativamente mas elevadas que los hombres: 18,5 y 14,3%, respectivamente. La prevalencia por grupo de edad alcanza el 45,3% por encima de los 85 anos y presenta diferencias por nivel de estudios alcanzado y tipo de convivencia. Conclusiones El deterioro cognitivo es un motivo de consulta frecuente en atencion primaria. Es mayor en mujeres y aumenta exponencialmente con la edad. Tanto la sospecha como la confirmacion del deterioro cognitivo pueden realizarse por el medico de familia con instrumentos sensibles y validados, lo que permite iniciar un tratamiento precoz.

Prevalencia de deterioro cognitivo en España. Estudio Gómez de Caso en redes centinelas sanitarias

Differentiating amnestic mild cognitive impairment (aMCI) from normal cognition is difficult in clinical settings. Self-reported and informant-reported memory complaints occur often in both clinical groups, which then necessitates the use of a comprehensive neuropsychological examination to make a differential diagnosis. However, the ability to identify cognitive symptoms that are predictive of aMCI through informant-based information may provide some clinical utility in accurately identifying individuals who are at risk for developing Alzheimer's disease (AD). The current study utilized a case-control design using data from an ongoing validation study of the Alzheimer's Questionnaire (AQ), an informant-based dementia assessment. Data from 51 cognitively normal (CN) individuals participating in a brain donation program and 47 aMCI individuals seen in a neurology practice at the same institute were analyzed to determine which AQ items differentiated aMCI from CN individuals. Forward stepwise multiple logistic regression analysis which controlled for age and education showed that 4 AQ items were strong indicators of aMCI which included: repetition of statements and/or questions [OR 13.20 (3.02, 57.66)]; trouble knowing the day, date, month, year, and time [OR 17.97 (2.63, 122.77)]; difficulty managing finances [OR 11.60 (2.10, 63.99)]; and decreased sense of direction [OR 5.84 (1.09, 31.30)]. Overall, these data indicate that certain informant-reported cognitive symptoms may help clinicians differentiate individuals with aMCI from those with normal cognition. Items pertaining to repetition of statements, orientation, ability to manage finances, and visuospatial disorientation had high discriminatory power.

/pdf/informant-reported-cognitive-symptoms-that-predict-amnestic-2p9axzj0qo.pdf

Informant-reported cognitive symptoms that predict amnestic mild cognitive impairment

Background: accurately identifying individuals with cognitive impairment is difficult. Given the time constraints that many clinicians face, assessment of cognitive status is often not undertaken. The intent of this study is to determine the diagnostic accuracy of the Alzheimer’s questionnaire (AQ) in identifying individuals with mild cognitive impairment (MCI) and AD. Methods: utilising a case–control design, 300 [100 AD, 100 MCI, 100 cognitively normal (CN)] older adults between the ages of 53 and 93 from a neurology practice and a brain donation programme had the AQ administered to an informant. Diagnostic accuracy was assessed through receiver-operating characteristic analysis, which yielded sensitivity, specificity and area under the curve (AUC). Results: the AQ demonstrated high sensitivity and specificity for detecting MCI [89.00 (81.20–94.40)]; [91.00 (83.60– 65.80)] and AD [99.00 (94.60–100.00)]; [96.00 (90.10–98.90)]. AUC values also indicated high diagnostic accuracy for both MCI [0.95 (0.91–0.97)] and AD [0.99 (0.96–1.00)]. Internal consistency of the AQ was also high (Cronbach’s alpha = 0.89). Conclusion: the AQ is a valid informant-based instrument for identifying cognitive impairment, which could be easily implemented in a clinician’s practice. It has high sensitivity and specificity in detecting both MCI and AD and allows clinicians to quickly and accurately assess individuals with reported cognitive problems.

/pdf/validation-and-diagnostic-accuracy-of-the-alzheimer-s-1p0955q93g.pdf

Validation and diagnostic accuracy of the Alzheimer's questionnaire

The aim of this pilot study is to determine the feasibility and clinical utility of a brief, informant-based screening questionnaire for Alzheimer's disease (AD) that can be administered in a primary care setting. The Alzheimer's Questionnaire (AQ) was administered to the informants of 188 patients in 3 dementia clinics (50 cognitively normal, 69 mild cognitive impairment (MCI), 69 AD). Total score for the AQ is based upon the sum of clinical symptom items in which the informant responds as being present. Clinical symptoms which are known to be highly predictive of the clinical AD diagnosis are given greater weight in the total AQ score. The mean time of administration of the AQ was 2.6 ± 0.6 minutes. Sensitivity and specificity were found to be high for detecting both AD (98.55, 96.00) and MCI (86.96, 94.00) with ROC curves yielding AUC values of 0.99 and 0.95, respectively. This pilot study indicates that the AQ is a brief, sensitive measure for detecting both MCI and AD and could be easily implemented in a primary care setting.

/pdf/the-alzheimer-s-questionnaire-a-proof-of-concept-study-for-a-289ibcjghb.pdf

The Alzheimer's Questionnaire: A Proof of Concept Study for a New Informant-Based Dementia Assessment

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Caleb Pearson

Author Tools

Chat about Author

Papers

The Alzheimer's Questionnaire: A Proof of Concept Study for a New Informant-Based Dementia Assessment