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Enhancing dementia prediction: A 19-year validation of the CAIDE risk score with insulin resistance and APOE ε4 integration in a population-based cohort.
J Prev Alzheimers Dis
February 2025
Turku PET Centre, University of Turku, Turku, Finland; Turku PET Centre, Turku University Hospital, Turku, Finland; Department of Geriatrics, Turku University Hospital, Wellbeing services county of Southwestern Finland, Finland.
Background: Dementia is a significant cause of disability and dependency. Persons with high dementia risk but intact cognition will benefit from preventive interventions.
Objectives: The aim was to validate dementia risk score Cardiovascular Risk Factors, Aging and Incidence of Dementia (CAIDE) in a national population-based cohort with data on age, education, hypertension, obesity, hyperlipidemia and physical activity.
The association between obesity indicators and mortality among individuals with hyperlipidemia: evidence from the NHANES 2003-2018.
Lipids Health Dis
January 2025
Department of Cardiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 324 Jingwu Road, Jinan, China.
Background: Obesity is linked to a variety of metabolic issues, with hyperlipidemia being a crucial adjustable risk element for cardiovascular diseases (CVD). However, the connection between indicators of obesity with overall and CVD mortality in American adults with hyperlipidemia remains unknown.
Methods: This research employed an extensive cohort drawn from the National Health and Nutrition Examination Survey (NHANES) (2003-2018).
A point-based cognitive impairment scoring system for Southeast Asian adults short title: Cognitive impairment scoring system.
J Prev Alzheimers Dis
January 2025
Saw Swee Hock School of Public Health, National University of Singapore, Singapore. Tahir Foundation Building, 12 Science Drive 2 117549, Singapore; Department of Pharmacology, National University of Singapore, Singapore. 18 Science Drive 4 117559, Singapore; Memory Aging and Cognition Center, National University Health System, Singapore. National University Health System Tower Block, 1E Kent Ridge Road Level 11 119228, Singapore. Electronic address:
Background: Cognitive impairment is a growing concern in Southeast Asian populations, where the burden of cerebrovascular disease (CeVD) is high. Currently, there is no point-based scoring system for identifying cognitive impairment in these populations.
Objective: To develop and validate a simple point-based Cognitive Impairment Scoring System (CISS) for identifying individuals with cognitive impairment no dementia (CIND) and concomitant CeVD in Southeast Asian populations.
Clinical features of inflammatory arthritis in daily practice-China's perspective.
Clin Rheumatol
January 2025
Department of Rheumatology and Immunology, Peking University People's Hospital, 11 Xizhimen South Street, Beijing, 100044, China.
Objective: This study aimed to analyze and compare the proportion of patients with different types of inflammatory arthritis and investigate the clinical characteristics, including symptoms and signs, medication choices, and disease activity, in the daily clinical practice of China.
Methods: Patients with inflammatory arthritis were recruited from 16 Grade-A tertiary hospitals between August 2021 and April 2022. The medical profiles, encompassing sociodemographic characteristics, clinical and laboratory date, were collected.
Construction and evaluation of a triage assessment model for patients with acute non-traumatic chest pain: mixed retrospective and prospective observational study.
BMC Emerg Med
January 2025
Shengli Clinical Medical College of Fujian Medical University, Department of Emergency, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fujian Provincial Key Laboratory of Emergency Medicine, Fuzhou, Fujian, China.
Background: Acute non-traumatic chest pain is one of the common complaints in the emergency department and is closely associated with fatal disease. Triage assessment urgently requires the use of simple, rapid tools to screen patients with chest pain for high-risk condition to improve patient outcomes.
Methods: After data preprocessing and feature selection, univariate and multiple logistic regression analyses were performed to identify potential predictors associated with acute non-traumatic chest pain.
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