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DOI: 10.1055/a-2325-5923
2024 Chinese Expert Consensus Guidelines on the Diagnosis and Treatment of Atrial Fibrillation in the Elderly, Endorsed by Geriatric Society of Chinese Medical Association (Cardiovascular Group) and Chinese Society of Geriatric Health Medicine (Cardiovascular Branch): Executive Summary
Funding The study was supported by the Beijing Natural Science Foundation (L232117) and the National Natural Science Foundation of China (82170309).
Abstract
The consensus guidelines of the Geriatric Society of Chinese Medical Association on the management of atrial fibrillation (AF) in the elderly was first published in 2011 and updated in 2016, with endorsement by Chinese Society of Geriatric Health Medicine. Since then, many important studies regarding the screening and treatment in the elderly population have been reported, necessitating this updated expert consensus guideline. The writing committee members comprehensively reviewed updated evidence pertaining to elderly patients with AF, and formulated this 2024 update. The highlighted issues focused on the following: screening for AF, geriatric comprehensive assessment, use of the Atrial fibrillation Better Care (ABC) pathway for the elderly patients, and special clinical settings related to elderly patients with AF. New recommendations addressing smart technology facilitated AF screening, ABC pathway based management, and optimal anticoagulation were developed, with a focus on the elderly.
Note
This is an executive summary of the full consensus guideline, which is published in Chinese Journal of Cardiac Arrhythmias (Chin J Cardiac Arrhythm 2024; DOI: 10.3760/cma.j.cnl 13859-20240130-00012).
* The expert reviewers details are mentioned in the [Supplementary Appendix] (available in the online version)
The review process for this paper was fully handled by Christian Weber, Editor in Chief.
Publication History
Received: 04 April 2024
Accepted: 04 May 2024
Accepted Manuscript online:
14 May 2024
Article published online:
02 July 2024
© 2024. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
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