scholarly journals Artificial Intelligence for Caregivers of Persons With Alzheimer’s Disease and Related Dementias: Systematic Literature Review (Preprint)

2020 ◽  
Author(s):  
Bo Xie ◽  
Cui Tao ◽  
Juan Li ◽  
Robin C Hilsabeck ◽  
Alyssa Aguirre
Keyword(s):  
Artificial Intelligence ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Digital Library ◽  
Full Text ◽  
Interdisciplinary Collaboration ◽  
Exclusion Criteria ◽  
Cross Sectional ◽  
Meta Analyses ◽  
The Impact

BACKGROUND Artificial intelligence (AI) has great potential for improving the care of persons with Alzheimer’s disease and related dementias (ADRD) and the quality of life of their family caregivers. To date, however, systematic review of the literature on the impact of AI on ADRD management has been lacking. OBJECTIVE This paper aims to (1) identify and examine literature on AI that provides information to facilitate ADRD management by caregivers of individuals diagnosed with ADRD and (2) identify gaps in the literature that suggest future directions for research. METHODS Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for conducting systematic literature reviews, during August and September 2019, we performed 3 rounds of selection. First, we searched predetermined keywords in PubMed, Cumulative Index to Nursing and Allied Health Literature Plus with Full Text, PsycINFO, IEEE Xplore Digital Library, and the ACM Digital Library. This step generated 113 nonduplicate results. Next, we screened the titles and abstracts of the 113 papers according to inclusion and exclusion criteria, after which 52 papers were excluded and 61 remained. Finally, we screened the full text of the remaining papers to ensure that they met the inclusion or exclusion criteria; 31 papers were excluded, leaving a final sample of 30 papers for analysis. RESULTS Of the 30 papers, 20 reported studies that focused on using AI to assist in activities of daily living. A limited number of specific daily activities were targeted. The studies’ aims suggested three major purposes: (1) to test the feasibility, usability, or perceptions of prototype AI technology; (2) to generate preliminary data on the technology’s performance (primarily accuracy in detecting target events, such as falls); and (3) to understand user needs and preferences for the design and functionality of to-be-developed technology. The majority of the studies were qualitative, with interviews, focus groups, and observation being their most common methods. Cross-sectional surveys were also common, but with small convenience samples. Sample sizes ranged from 6 to 106, with the vast majority on the low end. The majority of the studies were descriptive, exploratory, and lacking theoretical guidance. Many studies reported positive outcomes in favor of their AI technology’s feasibility and satisfaction; some studies reported mixed results on these measures. Performance of the technology varied widely across tasks. CONCLUSIONS These findings call for more systematic designs and evaluations of the feasibility and efficacy of AI-based interventions for caregivers of people with ADRD. These gaps in the research would be best addressed through interdisciplinary collaboration, incorporating complementary expertise from the health sciences and computer science/engineering–related fields.

scholarly journals Artificial Intelligence for Caregivers of Persons With Alzheimer’s Disease and Related Dementias: Systematic Literature Review

10.2196/18189 ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. e18189
Author(s):  
Bo Xie ◽  
Cui Tao ◽  
Juan Li ◽  
Robin C Hilsabeck ◽  
Alyssa Aguirre
Keyword(s):  
Artificial Intelligence ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Digital Library ◽  
Full Text ◽  
Interdisciplinary Collaboration ◽  
Exclusion Criteria ◽  
Cross Sectional ◽  
Meta Analyses ◽  
The Impact

Background Artificial intelligence (AI) has great potential for improving the care of persons with Alzheimer’s disease and related dementias (ADRD) and the quality of life of their family caregivers. To date, however, systematic review of the literature on the impact of AI on ADRD management has been lacking. Objective This paper aims to (1) identify and examine literature on AI that provides information to facilitate ADRD management by caregivers of individuals diagnosed with ADRD and (2) identify gaps in the literature that suggest future directions for research. Methods Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for conducting systematic literature reviews, during August and September 2019, we performed 3 rounds of selection. First, we searched predetermined keywords in PubMed, Cumulative Index to Nursing and Allied Health Literature Plus with Full Text, PsycINFO, IEEE Xplore Digital Library, and the ACM Digital Library. This step generated 113 nonduplicate results. Next, we screened the titles and abstracts of the 113 papers according to inclusion and exclusion criteria, after which 52 papers were excluded and 61 remained. Finally, we screened the full text of the remaining papers to ensure that they met the inclusion or exclusion criteria; 31 papers were excluded, leaving a final sample of 30 papers for analysis. Results Of the 30 papers, 20 reported studies that focused on using AI to assist in activities of daily living. A limited number of specific daily activities were targeted. The studies’ aims suggested three major purposes: (1) to test the feasibility, usability, or perceptions of prototype AI technology; (2) to generate preliminary data on the technology’s performance (primarily accuracy in detecting target events, such as falls); and (3) to understand user needs and preferences for the design and functionality of to-be-developed technology. The majority of the studies were qualitative, with interviews, focus groups, and observation being their most common methods. Cross-sectional surveys were also common, but with small convenience samples. Sample sizes ranged from 6 to 106, with the vast majority on the low end. The majority of the studies were descriptive, exploratory, and lacking theoretical guidance. Many studies reported positive outcomes in favor of their AI technology’s feasibility and satisfaction; some studies reported mixed results on these measures. Performance of the technology varied widely across tasks. Conclusions These findings call for more systematic designs and evaluations of the feasibility and efficacy of AI-based interventions for caregivers of people with ADRD. These gaps in the research would be best addressed through interdisciplinary collaboration, incorporating complementary expertise from the health sciences and computer science/engineering–related fields.

scholarly journals Alzheimer's disease and sleep disturbances: a review

2019 ◽  
Vol 77 (11) ◽  
pp. 815-824 ◽  
Author(s):  
Conrado Regis Borges ◽  
Dalva Poyares ◽  
Ronaldo Piovezan ◽  
Ricardo Nitrini ◽  
Sonia Brucki
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Sleep Disturbances ◽  
Neurodegenerative Process ◽  
Preclinical Ad ◽  
Scientific Attention ◽  
Meta Analyses ◽  
The Impact

ABSTRACT The association between Alzheimer's disease (AD) and sleep disturbances has received increasing scientific attention in the last decades. However, little is known about the impact of sleep and its disturbances on the development of preclinical AD stages, such as mild cognitive impairment. This review describes the evolution of knowledge about the potential bidirectional relationships between AD and sleep disturbances exploring recent large prospective studies and meta-analyses and studies of the possible mechanisms through which sleep and the neurodegenerative process could be associated. The review also makes a comprehensive exploration of the sleep characteristics of older people, ranging from cognitively normal individuals, through patients with mild cognitive impairment, up to the those with dementia with AD.

scholarly journals The role of physical and cognitive function in performance of activities of daily living in patients with mild-to-moderate Alzheimer’s disease – a cross-sectional study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Frederikke K Clemmensen ◽  
Kristine Hoffmann ◽  
Volkert Siersma ◽  
Nanna Sobol ◽  
Nina Beyer ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Activities Of Daily Living ◽  
Physical Function ◽  
Physical Performance ◽  
Cognitive Functions ◽  
Daily Living ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
The Impact

Abstract Background Several factors may play a role in the ability of patients with Alzheimer’s disease to perform activities of daily living (ADL). The aim of this study was to examine the impact of different aspects of physical performance and cognitive functions on ADL in patients suffering from mild-to-moderate Alzheimer’s disease. Methods We conducted secondary analyses on cross-sectional baseline data from the randomized controlled multicentre study “Preserving quality of life, physical health and functional ability in Alzheimer’s Disease: The effect of physical exercise” (ADEX). In total, 185 AD patients (76 women and 109 men), with a mean age on 70,4 years, were included. Data from physical performance tests (Astrand cycle test, Timed up & Go (TUG), Sit to Stand test (STS)) and cognitive tests (Mini Mental Status Examination (MMSE), Symbol Digit Modalities Test (SDMT), Stroop Color and Word test (Stroop)) were used. Their associations with ADL, measured on the ADCS-ADL scale was assessed in multivariable regression analyses. Results SDMT and MMSE had significant, moderate correlations with total ADL (SDMT: r = 0.33, MMSE: r = 0.42) and instrumental ADL (SDMT: r = 0.31, MMSE: r = 0.42), but not with basic ADL. Adjusting for age and sex, the associations between SDMT and MMSE to total ADL and instrumental ADL persisted. No significant associations were found between Astrand, TUG, STS or Stroop and total ADL, basic ADL or instrumental ADL. Conclusion Total ADL and instrumental ADL are associated with cognitive functions, including executive function. No significant association between examined physical performance parameters and ADL functions was observed, and consequently does not support an impact of physical function on ADL functions in patients with mild-to-moderate Alzheimer’s disease and relatively well-preserved physical function. Strategies aimed to improve cognition may be better suited to improve ADL function in patients with mild-to-moderate Alzheimer’s disease. Trial registration NCT01681602. Registered 10 September 2012, retrospectively registered.

scholarly journals The Prevalence and Incidence of Dementia Due to Alzheimer’s Disease: a Systematic Review and Meta-Analysis

2016 ◽  
Vol 43 (S1) ◽  
pp. S51-S82 ◽  
Author(s):  
Kirsten M. Fiest ◽  
Jodie I. Roberts ◽  
Colleen J. Maxwell ◽  
David B. Hogan ◽  
Eric E. Smith ◽  
...  
Keyword(s):  
Systematic Review ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Diagnostic Criteria ◽  
Full Text ◽  
Data Extraction ◽  
Meta Analysis ◽  
Community Settings ◽  
Healthcare Needs ◽  
The Impact

AbstractBackgroundUpdated information on the epidemiology of dementia due to Alzheimer’s disease (AD) is needed to ensure that adequate resources are available to meet current and future healthcare needs. We conducted a systematic review and meta-analysis of the incidence and prevalence of AD.MethodsThe MEDLINE and EMBASE databases were searched from 1985 to 2012, as well as the reference lists of selected articles. Included articles had to provide an original population-based estimate for the incidence and/or prevalence of AD. Two individuals independently performed abstract and full-text reviews, data extraction and quality assessments. Random-effects models were employed to generate pooled estimates stratified by age, sex, diagnostic criteria, location (i.e., continent) and time (i.e., when the study was done).ResultsOf 16,066 abstracts screened, 707 articles were selected for full-text review. A total of 119 studies met the inclusion criteria. In community settings, the overall point prevalence of dementia due to AD among individuals 60+ was 40.2 per 1000 persons (CI95%: 29.1-55.6), and pooled annual period prevalence was 30.4 per 1000 persons (CI95%: 15.6-59.1). In community settings, the overall pooled annual incidence proportion of dementia due to AD among individuals 60+ was 34.1 per 1000 persons (CI95%: 16.4-70.9), and the incidence rate was 15.8 per 1000 person-years (CI95%: 12.9-19.4). Estimates varied significantly with age, diagnostic criteria used and location (i.e., continent).ConclusionsThe burden of AD dementia is substantial. Significant gaps in our understanding of its epidemiology were identified, even in a high-income country such as Canada. Future studies should assess the impact of using such newer clinical diagnostic criteria for AD dementia such as those of the National Institute on Aging–Alzheimer’s Association and/or incorporate validated biomarkers to confirm the presence of Alzheimer pathology to produce more precise estimates of the global burden of AD.

Apolipoprotein E polymorphism and age of onset for Alzheimer's disease in a bi-ethnic sample

2004 ◽  
Vol 16 (3) ◽  
pp. 317-326 ◽  
Author(s):  
Dylan G. Harwood ◽  
Warren W. Barker ◽  
Raymond L. Ownby ◽  
Peter St. George-Hyslop ◽  
Michael Mullan ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Apolipoprotein E ◽  
Age Of Onset ◽  
Disease Onset ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Cross Sectional ◽  
Ε4 Allele ◽  
The Impact

Objective: This study examined the association between the Apolipoprotein-E ε4 allele (APOE ε4) and age of disease onset in a bi-ethnic sample of community dwelling Alzheimer's disease (AD) patients.Design: Cross-sectional study of AD patients evaluated at a University-affiliated outpatient memory disorders clinic.Subjects: A clinic-based cohort of white non-Hispanic (WNH; n=601) and white Hispanic (WH; n=359) patients diagnosed with possible or probable AD according to NINCDS-ADRDA diagnostic criteria.Measures: Global cognitive functioning of the subjects was evaluated using the Mini-mental State Exam. The age of onset of AD was calculated from the patient's current age minus the reported duration of disease obtained from a knowledgeable family member.Results: A significant relationship was discovered between APOE ε4 and age of onset for WNH, with lower ages of onset among patients carrying the ε4/ε4 and ε3˜/ε4 genotypes in relation to patients with the ε3/ε3 genotype. The results revealed a more modest effect for APOE genotype in the WH cohort, with a lower age of onset witnessed among ε4 positive patients (ε2/ε4, ε3/ε4 and ε4/ε4 genotypes) in comparison to ε4 negative patients (ε2/ε2, ε2/ε3 and ε3/ε3 genotypes).Conclusion: The association between the ε4 allele and earlier age of onset was more pronounced in WNH compared to WH patients, suggesting the impact of APOE polymorphism on clinical phenotype may be different for distinct ethnic groups in the U.S.

scholarly journals Anxiety impact during COVID-19: a systematic review

2021 ◽  
Vol 15 (03) ◽  
pp. 320-325
Author(s):  
Patricia Batista ◽  
Vitor Duque ◽  
Ana Luzio-Vaz ◽  
Anabela Pereira
Keyword(s):  
Systematic Review ◽  
Published Data ◽  
Inclusion Criteria ◽  
Exclusion Criteria ◽  
Cross Sectional ◽  
Future Studies ◽  
Anxiety Measurement ◽  
Meta Analyses ◽  
The Impact ◽  
Sample Methodology

Introduction: The COVID-19 epidemic has been causing serious physical, but also psychological effects in society. This systematic review sought to identify studies that describe COVID-19 related anxiety, and to understand the impact of anxiety assessment in defining strategies to be implemented in future studies. Methodology: This systematic review included cross-sectional studies with no publication year limit. It was performed a systematic search through three databases, namely, PubMed, Science Direct and Web of Science using the descriptors “COVID-19” and “anxiety”. PRISMA criteria reporting of systematic reviews and meta-analyses were applied. Eligible articles were selected in accordance with inclusion and exclusion criteria. The inclusion criteria were: research articles related with anxiety measurement during the COVID-19 outbreak; interventions to reduce anxiety; and published in English. Results: From 44 references, just four scientific articles were accepted for inclusion within this review. These studies were analyzed regarding their sample, methodology, instruments used, and its results. Conclusions: This systematic review was based on published data at the onset of the pandemic, and it could serve as a basis for the development of implementations plans to improve anxiety disorders. The importance of this theme, the implications and potential directions for future investigations will be discussed.

scholarly journals THE IMPACT OF ALZHEIMER’S DISEASE ON EMOTIONAL PROCESSING

2021 ◽  
Author(s):  
Rogeria Cristina Silva ◽  
Raquel Luíza Carvalho ◽  
Marcia Cristina Dourado
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Performance ◽  
Systematic Reviews ◽  
Emotional Processing ◽  
Emotion Processing ◽  
Emotional Perception ◽  
The Individual ◽  
Meta Analyses ◽  
The Impact

Background: Emotional processing involves the ability of the individual to infer emotional information. There is no consensus about how Alzheimer’s disease (AD) affects emotional processing. Objective: We aim to systematically review the impact of AD on emotion processing Method: We conducted a search based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The literature search was performed using the electronic databases MEDLINE (Pubmed) and Science Citation Index (ISI). The following descriptors were used in the review process: emotion or emotional processing, cognition or cognitive functions and Alzheimer disease or Alzheimer’s disease. This systematic review was recorded in the International Prospective Register of Systematic Reviews (PROSPERO) under the number CRD42018115891. Results: We identified 425 articles, 19 of which met our criteria. Visual emotional stimuli were the most used among studies. Most studies used tasks of emotional naming, discrimination, identification and correspondence. The results were contradictory. Many studies reported that individuals with AD were impaired on emotional perception tasks, while others results reported preserved skills. The relationship between emotional processing and cognition is also unclear. Some studies suggested that general cognitive performance affects performance in emotional perception tasks among people with AD, but other studies have shown deficits in recognizing emotion, regardless cognitive performance. Conclusions: Studies are scarce, present contradictory results, and report impairment in emotional processing in relation to cognition. Moreover, analyzes of correlation between emotion processing and cognitive functioning failed to reveal clear relationships.

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