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文献詳細

雑誌文献

medicina60巻13号

2023年12月発行

文献概要

特集 一般医家のための—DOAC時代の心房細動診療 心房細動の非薬物治療

未来の心房細動診療に向けて

著者: 中野由紀子1

所属機関: 1広島大学大学院医系科学研究科循環器内科学

ページ範囲:P.2350 - P.2353

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◎心房細動はさまざまなデバイスを使用し早期発見が重要である.
◎ゲノムワイド関連解析(GWAS)で多くの心房細動関連遺伝子が検出されている.
◎将来的にはマルチオミックスや人工知能(AI)を組み合わせた心房細動検出治療が可能になろう.

参考文献

1)Kornej J, et al:Epidemiology of atrial fibrillation in the 21st century;Novel methods and new insights. Circ Res 127:4-20, 2020
2)日本循環器学会/日本不整脈心電学会:2020年改訂版 不整脈薬物治療ガイドライン. http://www.j-circ.or.jp/cms/wp-content/uploads/2020/01/JCS2020_Ono.pdf(2023年9月閲覧)
3)Senoo K, et al:Distribution of first-detected atrial fibrillation patients without structural heart diseases in symptom classifications. Circ J 76:1020-1023, 2012
4)Siontis KC, et al:Typical, atypical, and asymptomatic presentations of new-onset atrial fibrillation in the community;Characteristics and prognostic implications. Heart Rhythm 13:1418-1424, 2016
5)Okubo Y, et al;MYBEAT Trial Investigators:Evaluation of the Feasibility and Efficacy of a Novel Device for Screening Silent Atrial Fibrillation(MYBEAT Trial). Circ J 86:182-188, 2022
6)Ratajczak-Tretel B, et al:Atrial fibrillation in cryptogenic stroke and TIA patients in The Nordic Atrial Fibrillation and Stroke (NOR-FIB)Study;Main results.Eur Stroke J 8:148-156, 2023
7)Attia ZI, et al:An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm;A retrospective analysis of outcome prediction. Lancet 394:861-867, 2019
8)Khurshid S, et al:ECG-based deep learning and clinical risk factors to predict atrial fibrillation.Circulation 145:122-133, 2022
9)Kim JA, et al:Genetics of atrial fibrillation.Curr Opin Cardiol 36:281-287, 2021
10)Nielsen JB, et al:Biobank-driven genomic discovery yields new insight into atrial fibrillation biology. Nat Genet 50:1234-1239, 2018
11)Wang J, et al:Pitx2 prevents susceptibility to atrial arrhythmias by inhibiting left-sided pacemaker specification. Proc Natl Acad Sci U S A 107:9753-9758, 2010
12)Tomomori S, et al:Chromosome 4q25 Variant rs6817105 bring sinus node dysfunction and left atrial enlargement. Sci Rep 8:14565, 2018
13)Mars N, et al:Polygenic and clinical risk scores and their impact on age at onset and prediction of cardiometabolic diseases and common cancers. Nat Med 26:549-557, 2020
14)Okubo Y, et al:Predicting atrial fibrillation using a combination of genetic risk score and clinical risk factors. Heart Rhythm 17:699-705, 2020
gene polymorphisms are associated with occurrence of tachycardia-induced cardiomyopathy in patients with atrial fibrillation. Circ Genom Precis Med 11:e001980, 2018
16)Okamura S, et al:Minor allele of GJA1 gene polymorphism is associated with higher heart rate during atrial fibrillation. Sci Rep 11:2549, 2021
17)Okamura S, et al:GJA1 gene polymorphism is a genetic predictor of recurrence after pulmonary vein isolation in patients with paroxysmal atrial fibrillation. Heart Rhythm 19:2044-2050, 2022
18)Yoneda ZT, et al:Early-onset atrial fibrillation and the prevalence of rare variants in cardiomyopathy and arrhythmia genes. JAMA Cardiol 6:1371-1379, 2021
19)Li M, et al:Atrial cardiomyopathy;From cell to bedside. ESC Heart Fail 9:3768-3784, 2022
20)Miyauchi S, et al:Relationship between fibrosis, endocardial endothelial damage, and thrombosis of left atrial appendage in atrial fibrillation. JACC Clin Electrophysiol 9:1158-1168, 2023
21)Svendsen JH, et al:Implantable loop recorder detection of atrial fibrillation to prevent stroke(The LOOP Study);A randomised controlled trial.Lancet 398:1507-1516, 2021
22)Svennberg E,et al:Clinical outcomes in systematic screening for atrial fibrillation (STROKESTOP);A multicentre, parallel group, unmasked, randomised controlled trial. Lancet 398:1498-1506, 2021

掲載誌情報

出版社:株式会社医学書院

電子版ISSN:1882-1189

印刷版ISSN:0025-7699

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