亚临床心房颤动:具有不确定含义的无声威胁。

IF 15.1 1区医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL

Annual review of medicine Pub Date : 2022-01-27 Epub Date: 2021-11-17 DOI:10.1146/annurev-med-042420-105906

Anthony H Kashou, Demilade A Adedinsewo, Peter A Noseworthy

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引用次数: 8

摘要

心房颤动(AF)是最常见的心律失常之一。植入式和可穿戴心脏设备已经能够检测无症状房颤发作-称为亚临床房颤(SCAF)。SCAF的患病率可能被严重低估，它与心血管和全因死亡率增加以及显著的卒中风险相关。机器学习的最新进展，即人工智能心电图(AI-ECG)，已经能够识别出SCAF可能性较高的患者。利用AI-ECG算法的能力来推动筛查方案最终可以实现早期发现和治疗，并有助于减轻AF相关的负担。

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Subclinical Atrial Fibrillation: A Silent Threat with Uncertain Implications.

Atrial 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.

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来源期刊

Annual review of medicine 医学-医学：内科

CiteScore

24.90

自引率

0.00%

发文量

期刊介绍： The Annual Review of Medicine, which has been published since 1950, focuses on important advancements in diverse areas of medicine. These include AIDS/HIV, cardiology, clinical pharmacology, dermatology, endocrinology/metabolism, gastroenterology, genetics, immunology, infectious disease, neurology, oncology/hematology, pediatrics, psychiatry, pulmonology, reproductive medicine, and surgery. The journal's current volume has transitioned from a gated access model to an open access model through the Annual Reviews' Subscribe to Open program. All articles published in the journal are now available under a CC BY license.