Population Health Solutions for Assessing Cognitive Impairment in Geriatric Patients.

In December 2017, the National Academy of Neuropsychology convened an interorganizational Summit on Population Health Solutions for Assessing Cognitive Impairment in Geriatric Patients in Denver, Colorado. The Summit brought together representatives of a broad range of stakeholders invested in the care of older adults to focus on the topic of cognitive health and aging. Summit participants specifically examined questions of who should be screened for cognitive impairment and how they should be screened in medical settings. This is important in the context of an acute illness given that the presence of cognitive impairment can have significant implications for care and for the management of concomitant diseases as well as pose a major risk factor for dementia. Participants arrived at general principles to guide future screening approaches in medical populations and identified knowledge gaps to direct future research. Key learning points of the summit included: recognizing the importance of educating patients and healthcare providers about the value of assessing current and baseline cognition;emphasizing that any screening tool must be appropriately normalized and validated in the population in which it is used to obtain accurate information, including considerations of language, cultural factors, and education; andrecognizing the great potential, with appropriate caveats, of electronic health records to augment cognitive screening and tracking of changes in cognitive health over time

A novel speech analysis algorithm to detect cognitive impairment in a Spanish population

ObjectiveEarly detection of cognitive impairment in the elderly is crucial for diagnosis and appropriate care. Brief, cost-effective cognitive screening instruments are needed to help identify individuals who require further evaluation. This study presents preliminary data on a new screening technology using automated voice recording analysis software in a Spanish population.MethodData were collected from 174 Spanish-speaking individuals clinically diagnosed as cognitively normal (CN, n = 87) or impaired (mild cognitive impairment [MCI], n = 63; all-cause dementia, n = 24). Participants were recorded performing four common language tasks (Animal fluency, alternating fluency [sports and fruits], phonemic “F” fluency, and Cookie Theft Description). Recordings were processed via text-transcription and digital-signal processing techniques to capture neuropsychological variables and audio characteristics. A training sample of 122 subjects with similar demographics across groups was used to develop an algorithm to detect cognitive impairment. Speech and task features were used to develop five independent machine learning (ML) models to compute scores between 0 and 1, and a final algorithm was constructed using repeated cross-validation. A socio-demographically balanced subset of 52 participants was used to test the algorithm. Analysis of covariance (ANCOVA), covarying for demographic characteristics, was used to predict logistically-transformed algorithm scores.ResultsMean logit algorithm scores were significantly different across groups in the testing sample (p < 0.01). Comparisons of CN with impaired (MCI + dementia) and MCI groups using the final algorithm resulted in an AUC of 0.93/0.90, with overall accuracy of 88.4%/87.5%, sensitivity of 87.5/83.3, and specificity of 89.2/89.2, respectively.ConclusionFindings provide initial support for the utility of this automated speech analysis algorithm as a screening tool for cognitive impairment in Spanish speakers. Additional study is needed to validate this technology in larger and more diverse clinical populations

Risk factors for earlier dementia onset in autopsy-confirmed Alzheimer\u27s disease, mixed Alzheimer\u27s with Lewy bodies, and pure Lewy body disease.

INTRODUCTION: Clinical Alzheimer\u27s disease (AD) and dementia with Lewy bodies often have mixed AD and Lewy pathology, making it difficult to delineate risk factors. METHODS: Six risk factors for earlier dementia onset due to autopsy-confirmed AD (n = 647), mixed AD and Lewy body disease (AD + LBD; n = 221), and LBD (n = 63) were entered into multiple linear regressions using data from the National Alzheimer\u27s Coordinating Center. RESULTS: In AD and AD + LBD, male sex and apolipoprotein E (APOE) ɛ4 alleles each predicted a 2- to 3-year-earlier onset and depression predicted a 3-year-earlier onset. In LBD, higher education predicted earlier onset and depression predicted a 5.5-year-earlier onset. DISCUSSION: Male sex and APOE ɛ4 alleles increase risk for earlier dementia onset in AD but not LBD. Depression increases risk for earlier dementia onset in AD, LBD, and AD + LBD, but evaluating the course, treatment, and severity is needed in future studies

Inter Organizational Practice Committee Guidance/Recommendation for Models of Care During the Novel Coronavirus Pandemic.

ObjectiveThe Inter Organizational Practice Committee (IOPC) convened a workgroup to develop guidance on models to provide neuropsychological (NP) care during the COVID-19 pandemic while minimizing risks of novel coronavirus transmission as lockdown orders are lifted and ambulatory clinical services resume.MethodA collaborative panel of experts from major professional organizations developed provisional guidance for models of neuropsychological practice during the pandemic. The stakeholders included the American Academy of Clinical Neuropsychology/American Board of Clinical Neuropsychology, the National Academy of Neuropsychology, Society of Clinical neuropsychology (Division 40) of the American Psychological Association, the American Board of Professional Neuropsychology, and the American Psychological Association Services, Inc.ResultsThis guidance reviews the risks and benefits of conducting NP exams in several ways, including standard in-person, mitigated in-person, in-clinic teleneuropsychology (TeleNP), and in-home TeleNP. Strategies are provided for selecting the most appropriate model for a given patient, taking into account four levels of patient risk stratification, level of community risk, and the concept of stepped models of care. Links are provided to governmental agency and professional organization resources as well as an outline and discussion of essential infection mitigation processes based on commonalities across recommendations from diverse federal, state, local, and professional organization recommendations.ConclusionThis document provides recommendations and guidance with analysis of the risks relative to the benefits of various models of NP care during the COVID-19 pandemic. These recommendations may be revised as circumstances evolve, with updates posted continuously on the IOPC website (https://iopc.online/)