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Background: The prevalence of Alzheimer's disease and related disorders (ADRD) is rising. Primary care providers (PCPs) will increasingly be required to play a role in its detection but lack the training to do so.
Objective: To develop a model for cognitive evaluation which is feasible in primary care and evaluate its implementation in a large health system.
Methods: The Cognition in Primary Care Program consists of web-based training together with integrated tools built into the electronic record. We implemented the program among PCPs at 14 clinics in a large health system. We (1) surveyed PCPs to assess the impact of training on their confidence to evaluate cognition, (2) measured the number of cognitive assessments they performed, and (3) tracked the number of patients diagnosed with mild cognitive impairment (MCI).
Results: Thirty-nine PCPs completed the training which covered how to evaluate cognition. Survey response rate from those PCPs was 74%. Six months after the end of the training, they reported confidence in assessing cognition (mean 4.6 on 5-point scale). Cognitive assessments documented in the health record increased from 0.8 per month before the training to 2.5 in the six months after the training. Patients who were newly diagnosed with MCI increased from 4.2 per month before the training to 6.0 per month in the six months after the training.
Conclusions: This model for cognitive evaluation in a large health system was shown to increase cognitive testing and increase diagnoses of MCI. Such improvements are essential for the timely detection of ADRD.
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http://dx.doi.org/10.3233/JAD-231200 | DOI Listing |
Anal Methods
September 2025
Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, P. R. China.
Aflatoxin B1 (AFB1) is one of the most toxic mycotoxins that pose great health threats to humans. Herein, an aptasensor-based fluorescent signal amplification strategy is developed for the detection of AFB1. Initially, the AFB1 aptamers labelled with carboxyfluorescein (FAM) are adsorbed onto graphene oxide (GO), triggering energy transfer.
View Article and Find Full Text PDFJ Sci Food Agric
September 2025
Microbial Biotechnology Research Group, School of Life Sciences and Technology, Institut Teknologi Bandung, Bandung, Indonesia.
Background: Secondary fermentation can reduce variability in cocoa bean quality caused by the spontaneous, uncontrolled nature of primary fermentation. However, its optimization remains unexplored. This study evaluated the improvement of secondary fermentation through the combined use of Citrus limon peel and inoculation with Candida tropicalis H1Y4-1 as a starter.
View Article and Find Full Text PDFStroke
September 2025
Department of Medicine, University of Melbourne, Parkville, Victoria, Australia. (V.Y., B.C.V.C., L.C., L.O., M.W.P.).
Background: To assess the efficacy and safety of tenecteplase in patients presenting within 24 hours of symptom onset with a large vessel occlusion and target mismatch on perfusion computed tomography.
Methods: ETERNAL-LVO was a prospective, randomized, open-label, blinded end point, phase 3, superiority trial where adult participants with a large vessel occlusion, presenting within 24 hours of onset with salvageable tissue on computed tomography perfusion, were randomized to tenecteplase 0.25 mg/kg or standard care across 11 primary and comprehensive stroke centers in Australia.
Health Sci Rep
September 2025
Department of Dermatology the Union Hospital, Fujian Medical University Fuzhou People's Republic of China.
Background And Aims: Several observational studies have reported inconsistent associations between dyslipidaemia, stains use and atopic dermatitis (AD). Nevertheless, the available data on the effects of -C-lowering as well as TG-lowering drugs remain inconclusive and limited. The aim of this study was to evaluate the causal association of lipid traits and long-term use of lipid-lowering drugs on AD risk.
View Article and Find Full Text PDFFront Digit Health
August 2025
Department of Ophthalmology, Stanford University, Palo Alto, CA, United States.
Introduction: Vision language models (VLMs) combine image analysis capabilities with large language models (LLMs). Because of their multimodal capabilities, VLMs offer a clinical advantage over image classification models for the diagnosis of optic disc swelling by allowing a consideration of clinical context. In this study, we compare the performance of non-specialty-trained VLMs with different prompts in the classification of optic disc swelling on fundus photographs.
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