Literature DB >> 30846062

Risk-Based Disease Surveillance: The Promise of Early Atrial Fibrillation Identification.

Marcie G Berger1, David Gutterman2.   

Abstract

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Year:  2019        PMID： 30846062      PMCID： PMC6435909          DOI： 10.1016/j.chest.2018.09.005

Source DB:  PubMed          Journal:  Chest        ISSN： 0012-3692            Impact factor:   9.410


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  8 in total

1.  The CHADS2 and CHA2DS2-VASc scores predict atrial fibrillation in dyslipidemic individuals: Role of incorporating low high-density lipoprotein cholesterol levels.

Authors:  Fotios Barkas; Moses Elisaf; Panagiotis Korantzopoulos; Stavroula Tsiara; Evangelos Liberopoulos
Journal:  Int J Cardiol       Date:  2017-04-20       Impact factor: 4.164

2.  Simple risk model and score for predicting of incident atrial fibrillation in Japanese.

Authors:  Richiro Hamada; Shigeki Muto
Journal:  J Cardiol       Date:  2018-07-29       Impact factor: 3.159

3.  Diagnosis-to-ablation time as a predictor of success: early choice for pulmonary vein isolation and long-term outcome in atrial fibrillation: results from the Middelheim-PVI Registry.

Authors:  Y De Greef; B Schwagten; G B Chierchia; C de Asmundis; D Stockman; I Buysschaert
Journal:  Europace       Date:  2018-04-01       Impact factor: 5.214

4.  Cryptogenic stroke and underlying atrial fibrillation.

Authors:  Tommaso Sanna; Hans-Christoph Diener; Rod S Passman; Vincenzo Di Lazzaro; Richard A Bernstein; Carlos A Morillo; Marilyn Mollman Rymer; Vincent Thijs; Tyson Rogers; Frank Beckers; Kate Lindborg; Johannes Brachmann
Journal:  N Engl J Med       Date:  2014-06-26       Impact factor: 91.245

5.  Worldwide epidemiology of atrial fibrillation: a Global Burden of Disease 2010 Study.

Authors:  Sumeet S Chugh; Rasmus Havmoeller; Kumar Narayanan; David Singh; Michiel Rienstra; Emelia J Benjamin; Richard F Gillum; Young-Hoon Kim; John H McAnulty; Zhi-Jie Zheng; Mohammad H Forouzanfar; Mohsen Naghavi; George A Mensah; Majid Ezzati; Christopher J L Murray
Journal:  Circulation       Date:  2013-12-17       Impact factor: 29.690

6.  A Simple Clinical Risk Score (C2HEST) for Predicting Incident Atrial Fibrillation in Asian Subjects: Derivation in 471,446 Chinese Subjects, With Internal Validation and External Application in 451,199 Korean Subjects.

Authors:  Yan-Guang Li; Daniele Pastori; Alessio Farcomeni; Pil-Sung Yang; Eunsun Jang; Boyoung Joung; Yu-Tang Wang; Yu-Tao Guo; Gregory Y H Lip
Journal:  Chest       Date:  2018-10-04       Impact factor: 9.410

7.  Usefulness of HATCH score in the prediction of new-onset atrial fibrillation for Asians.

Authors:  Kazuyoshi Suenari; Tze-Fan Chao; Chia-Jen Liu; Yasuki Kihara; Tzeng-Ji Chen; Shih-Ann Chen
Journal:  Medicine (Baltimore)       Date:  2017-01       Impact factor: 1.889

8.  A comparison of the CHARGE-AF and the CHA2DS2-VASc risk scores for prediction of atrial fibrillation in the Framingham Heart Study.

Authors:  Ingrid E Christophersen; Xiaoyan Yin; Martin G Larson; Steven A Lubitz; Jared W Magnani; David D McManus; Patrick T Ellinor; Emelia J Benjamin
Journal:  Am Heart J       Date:  2016-05-17       Impact factor: 4.749
  8 in total

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