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Stratifying Risk for Cognitive Decline in Older Adult Populations using the Geriatric Depression Scale.
J Psychiatry Cogn Behav
March 2024
Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Objectives: Late-life psychological symptoms in older adults such as depression and apathy have been increasingly associated with increased risk of cognitive and functional decline. The goal of this study was to conduct a confirmatory factor analysis of the Geriatric Depression Scale (GDS), pooling 3 unique cohorts of older adults to 1) develop a novel measurement model that distinguishes apathy from other domains of depression including dysphoria and cognitive concern and 2) evaluate if the measurement model distinguishes older adult populations with varied risk for cognitive decline.
Methods: We pooled the baseline waves of three older adult cohorts (N=1421).
Current Use And Evaluation Of Artificial Intelligence And Predictive Models In US Hospitals.
Health Aff (Millwood)
January 2025
Jordan Everson, Office of the Assistant Secretary for Technology Policy, Washington, D.C.
Effective evaluation and governance of predictive models used in health care, particularly those driven by artificial intelligence (AI) and machine learning, are needed to ensure that models are fair, appropriate, valid, effective, and safe, or FAVES. We analyzed data from the 2023 American Hospital Association Annual Survey Information Technology Supplement to identify how AI and predictive models are used and evaluated for accuracy and bias in hospitals. Hospitals use AI and predictive models to predict health trajectories or risks for inpatients, identify high-risk outpatients to inform follow-up care, monitor health, recommend treatments, simplify or automate billing procedures, and facilitate scheduling.
View Article and Find Full Text PDFExploring the layers of fatigue in Parkinson's Disease: A comprehensive analysis of its prevalence and contributing factors.
Clin Park Relat Disord
November 2024
Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA.
Background: Fatigue is a prevalent yet under-recognized non-motor symptom (NMS) of Parkinson's disease (PD), significantly impacting patients' quality of life. Despite its clinical importance, the relationship between fatigue and other motor and non-motor symptoms remains poorly understood. Its frequent co-occurrence with other NMS further complicates both diagnosis and management, often leading to underdiagnosis and suboptimal treatment.
View Article and Find Full Text PDFBrain function assessment of acupuncture for chronic insomnia disorder with mild cognitive dysfunction based on fNIRS: protocol for a randomized controlled trial.
Front Neurol
November 2024
Department of Preventive Treatment, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Article Synopsis
- * This study is a randomized controlled trial where participants will receive either manual acupuncture or a placebo over eight weeks, with fNIRS used to assess brain function during cognitive tests.
- * The research aims to reveal how acupuncture impacts sleep quality and mental performance in CID patients with mild cognitive impairment, providing insights into its neurological benefits.
Malnutrition among people with dementia in Khon Kaen, Thailand.
East Asian Arch Psychiatry
September 2024
Department of Psychiatry, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Article Synopsis
- The study aimed to evaluate malnutrition rates and influencing factors in dementia patients in Khon Kaen, Thailand, involving participants aged 60 and over with major neurocognitive disorders.
- A total of 61 dementia patients and their caregivers were assessed for nutritional status, cognitive function, and severity of symptoms using various established scales.
- The findings revealed that 4.9% of patients were malnourished, 34.4% were at risk, and predictors included caregiver nutrition scores and patient apathy levels, highlighting the importance of monitoring these factors for better nutritional management.
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