Subclinical Atrial Fibrillation: A Silent Threat with Uncertain Implications

Annu Rev Med. 2021 Nov 17. doi: 10.1146/annurev-med-042420-105906. Online ahead of print.ABSTRACTAtrial fibrillation (AF) is one of the most common cardiac arrhythmias. Implantable and wearable cardiac devices have enabled the detection of asymptomatic AF episodes-termed subclinical AF (SCAF). SCAF, the prevalence of which is likely significantly underestimated, is associated with increased cardiovascular and all-cause mortality and a significant stroke risk. Recent advances in machine learning, namely artificial intelligence-enabled ECG (AI-ECG), have enabled identification of patients at higher likelihood of SCAF. Leveraging the capabilities of AI-ECG algorithms to drive screening protocols could eventually allow for earlier detection and treatment and help reduce the burden associated with AF. Expected final online publication date for the Annual Review of Medicine, Volume 73 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.PMID:34788544 | DOI:10.1146/annurev-med-042420-105906
Source: Annual Review of Medicine - Category: General Medicine Authors: Source Type: research