• Filter By:
• Specialty
• Source
• Condition
• Cancer
• Infectious Disease
• Drug
• Training
• Management
• Procedure
• Therapy
• Vaccine
• Nutrition
• Country

Relation of Atrial Fibrillation to Cognitive Decline (from the REasons for Geographic and Racial Differences in Stroke REGARDS Study)
The association of atrial fibrillation (AF) with cognitive function remains unclear, especially among racially/geographically diverse populations. This analysis included 25,980 black and white adults, aged 48+, from the national REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort, free from cognitive impairment and stroke at baseline. Baseline AF was identified by self-reported medical history or electrocardiogram (ECG). Cognitive testing was conducted yearly with the Six Item Screener (SIS) to define impairment and at 2-year intervals to assess decline on: animal naming and letter fluency, Montreal Co...
Source: The American Journal of Cardiology - March 5, 2021 Category: Cardiology Authors: Margie J. Bailey, Elsayed Z. Soliman, Leslie A. McClure, George Howard, Virginia J. Howard, Suzanne E. Judd, Fred Unverzagt, Virginia Wadley, Bonnie C. Sachs, Timothy Hughes Source Type: research

Machine Learning-Based Prediction of Atrial Fibrillation Risk Using Electronic Medical Records in Older Aged Patients
Atrial fibrillation (AF) is an independent risk factor that increases the risk of stroke 5-fold. The purpose of our study was to develop a 1-year new-onset AF predictive model by machine learning based on 3-year medical information without electrocardiograms in our database to identify AF risk in older aged patients. We developed the predictive model according to the Taipei Medical University clinical research database electronic medical records, including diagnostic codes, medications, and laboratory data.
Source: The American Journal of Cardiology - May 18, 2023 Category: Cardiology Authors: Yung-Ta Kao, Chun-Yao Huang, Yu-Ann Fang, Ju-Chi Liu, Tzu-Hao Chang Source Type: research