Objective: This study investigated the characteristics of carotid atherosclerosis in patients with atrial fibrillation (AF) and determined the feasibility and significance of the CHADS score in predicting the degree of carotid atherosclerosis.
Methods: Consecutive patients (n = 109) with nonvalvular AF were registered and classified into two groups, the paroxysmal AF group (n = 59) and persistent AF group (n = 50). Fifty healthy patients, matched by sex and age, were considered the control group. All patients were examined using carotid ultrasound and velocity vector imaging (VVI).
Results: Compared with the control group, the mean intimal-medial thickness in the paroxysmal AF group (0.56 ± 0.11 versus 0.61 ± 0.10, respectively, < 0.05) and the persistent AF group (0.56 ± 0.11 versus 0.64 ± 0.13, respectively, < 0.001) was significantly increased. The plaque index (PI) in the persistent AF group was significantly higher than that observed in the paroxysmal AF group (1.05 ± 1.33 versus 1.42 ± 1.47, respectively, < 0.001). Regarding the VVI indices, those reflecting the long-axis longitudinal motion function of carotid arteries were significantly decreased in both AF groups. Compared with the control group, a significantly lower total longitudinal displacement (tLoD) index was observed in the persistent AF group (0.73 ± 0.66 versus 0.31 ± 0.23, respectively, < 0·0001) and the paroxysmal AF group (0.73 ± 0.66 versus 0.34 ± 0.17, < 0·0001). The CHADS score was related to indicators reflecting the structure and function of the carotid artery.
Conclusions: Carotid arterial structure and function were significantly altered in patients with AF. The degree of carotid atherosclerosis depended on the duration of AF. The CHADS score may be useful as a predictor of the extent of carotid atherosclerosis in patients with AF.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6120293 | PMC |
http://dx.doi.org/10.1155/2018/4074286 | DOI Listing |
Cardiol Ther
December 2024
Internal Medicine Medical Affairs, Pfizer Japan Inc, 3-22-7 Yoyogi, Shibuya-Ku, Tokyo, 151-8589, Japan.
Introduction: Very elderly patients with nonvalvular atrial fibrillation (NVAF) are at high risk for both ischemic and hemorrhagic events. This study aimed to understand the characteristics and real-world treatment of very elderly patients with NVAF in Japan.
Methods: We conducted a retrospective analysis of electronic health records and claims data from acute care hospitals for very elderly patients with NVAF with medical records available on or after their 80th birthday.
Hosp Pharm
December 2024
Maxor National Pharmacy Services Corp, Amarillo, TX, USA.
This study examines the correlation between time-in-therapeutic range (TTR) and anticoagulation-related adverse events (AEs) in patients with atrial fibrillation (Afib) in a pharmacist-managed ambulatory care clinic. A single-center, retrospective cohort study was conducted at a community hospital-based outpatient anticoagulation clinic to investigate the predictive value of suboptimal TTR percentages for hemorrhagic or thromboembolic events in Afib patients. Eligible participants were aged 18 years or older, diagnosed with Afib, and receiving warfarin therapy as current or past enrollees in the anticoagulation management program.
View Article and Find Full Text PDFCJC Open
November 2024
Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada.
Background: Disparities in atrial fibrillation ablation rates have been studied previously, with a focus on either patient characteristics or systems factors, rather than geographic factors. The impact of electrophysiology (EP) centre practice patterns on ablation rates has not been well studied.
Methods: This population-based cohort study used linked administrative datasets covering physician billing codes, hospitalizations, prescriptions, and census data.
CJC Open
October 2024
Faculty of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.
Sci Rep
November 2024
Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, UK.
Clinical risk scores that predict outcomes in patients with atrial fibrillation (AF) have modest predictive value. Machine learning (ML) may achieve greater results when predicting adverse outcomes in patients with recently diagnosed AF. Several ML models were tested and compared with current clinical risk scores on a cohort of 26,183 patients (mean age 70.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!