Literature DB >> 21820279

Atrial fibrillation and flutter outcomes and risk determination (AFFORD): design and rationale.

Tyler W Barrett1, Alan B Storrow, Cathy A Jenkins, Frank E Harrell, Karen F Miller, Kelly M Moser, Stephan Russ, Dan M Roden, Dawood Darbar.   

Abstract

BACKGROUND: Atrial fibrillation (AF) is the most common sustained arrhythmia affecting over 700,000 individuals in Japan and 2.2 million in the USA. The proper management of patients with AF is critical due to the well-documented association with heart failure and stroke. A strategy to better define the emergency department (ED) management, admission decisions, and spectrum of risk from low to high is needed. METHODS AND
SUBJECTS: The atrial fibrillation and flutter outcomes and risk determination investigation is a prospective, observational cohort study to develop a multivariable clinical prediction rule that accurately estimates risk for adverse outcomes in patients presenting to the ED with symptomatic AF. We will enroll 430 patients at 2 sites who present to the ED with symptomatic AF defined as a new or established diagnosis of AF or atrial flutter that require ED evaluation for a complaint thought related to their rhythm disturbance. The study's endpoint is to develop an accurate, objective, internally validated, reliable clinical prediction rule to risk-stratify ED patients presenting with AF exacerbations. The rule will incorporate patient history and examination findings and laboratory studies obtained upon ED presentation, as well as trends over the first 2 h of care. This investigation's primary outcome is the incidence of any AF-related adverse event at 5 days and 30 days. We expect to complete the study by the end of 2014. The study was registered at Clinicaltrials.gov NCT01138644.
Copyright © 2011 Japanese College of Cardiology. Published by Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21820279      PMCID: PMC3169197          DOI: 10.1016/j.jjcc.2011.06.007

Source DB:  PubMed          Journal:  J Cardiol        ISSN: 0914-5087            Impact factor:   3.159


  33 in total

Review 1.  Review: a gentle introduction to imputation of missing values.

Authors:  A Rogier T Donders; Geert J M G van der Heijden; Theo Stijnen; Karel G M Moons
Journal:  J Clin Epidemiol       Date:  2006-07-11       Impact factor: 6.437

2.  Assessing the direct costs of treating nonvalvular atrial fibrillation in the United States.

Authors:  Karin S Coyne; Clark Paramore; Susan Grandy; Marco Mercader; Matthew Reynolds; Peter Zimetbaum
Journal:  Value Health       Date:  2006 Sep-Oct       Impact factor: 5.725

3.  Left atrial volume index as a predictor for occurrence of atrial fibrillation after ablation of typical atrial flutter.

Authors:  Young-Soo Lee; Dae Woo Hyun; Byung Chun Jung; Yong Keun Cho; Sang Hee Lee; Dong Gu Shin; Hyoung Seob Park; Seong Wook Han; Yoon Nyun Kim
Journal:  J Cardiol       Date:  2010-11       Impact factor: 3.159

4.  Systemic inflammation and left atrial thrombus in patients with non-rheumatic atrial fibrillation.

Authors:  Tomoko Maehama; Hiroyuki Okura; Koichiro Imai; Ken Saito; Ryotaro Yamada; Terumasa Koyama; Akihiro Hayashida; Yoji Neishi; Takahiro Kawamoto; Kiyoshi Yoshida
Journal:  J Cardiol       Date:  2010-05-13       Impact factor: 3.159

5.  ACC/AHA/Physician Consortium 2008 clinical performance measures for adults with nonvalvular atrial fibrillation or atrial flutter: a report of the American College of Cardiology/American Heart Association Task Force on Performance Measures and the Physician Consortium for Performance Improvement (Writing Committee to Develop Clinical Performance Measures for Atrial Fibrillation): developed in collaboration with the Heart Rhythm Society.

Authors:  N A Mark Estes; Jonathan L Halperin; Hugh Calkins; Michael D Ezekowitz; Paul Gitman; Alan S Go; Robert L McNamara; Joseph V Messer; James L Ritchie; Sam J W Romeo; Albert L Waldo; D George Wyse
Journal:  Circulation       Date:  2008-02-18       Impact factor: 29.690

6.  Determinant factors of plasma B-type natriuretic peptide levels in patients with persistent nonvalvular atrial fibrillation and preserved left ventricular systolic function.

Authors:  Osamu Baba; Masayasu Izuhara; Shin Kadota; Hirokazu Mitsuoka; Keisuke Shioji; Takashi Uegaito; Satoru Mutsuo; Mitsuo Matsuda
Journal:  J Cardiol       Date:  2009-08-05       Impact factor: 3.159

7.  Prevalence of atrial fibrillation in the general population of Japan: an analysis based on periodic health examination.

Authors:  Hiroshi Inoue; Akira Fujiki; Hideki Origasa; Satoshi Ogawa; Ken Okumura; Isao Kubota; Yoshifusa Aizawa; Takeshi Yamashita; Hirotsugu Atarashi; Minoru Horie; Tohru Ohe; Yoshinori Doi; Akihiko Shimizu; Akiko Chishaki; Tetsunori Saikawa; Katsusuke Yano; Akira Kitabatake; Hideo Mitamura; Itsuo Kodama; Shiro Kamakura
Journal:  Int J Cardiol       Date:  2008-08-08       Impact factor: 4.164

8.  A prospective, randomized trial of an emergency department observation unit for acute onset atrial fibrillation.

Authors:  Wyatt W Decker; Peter A Smars; Lekshmi Vaidyanathan; Deepi G Goyal; Eric T Boie; Latha G Stead; Douglas L Packer; Thomas D Meloy; Andy J Boggust; Luis H Haro; Dennis A Laudon; Joseph K Lobl; Annie T Sadosty; Raquel M Schears; Nicola E Schiebel; David O Hodge; Win-Kuang Shen
Journal:  Ann Emerg Med       Date:  2008-03-14       Impact factor: 5.721

9.  Increasing US emergency department visit rates and subsequent hospital admissions for atrial fibrillation from 1993 to 2004.

Authors:  Alden J McDonald; Andrea J Pelletier; Patrick T Ellinor; Carlos A Camargo
Journal:  Ann Emerg Med       Date:  2007-04-27       Impact factor: 5.721

10.  The role of infection in the development of non-valvular atrial fibrillation: up-regulation of Toll-like receptor 2 expression levels on monocytes.

Authors:  Hitoshi Ichiki; Koji Orihara; Shuichi Hamasaki; Sanemasa Ishida; Naoya Oketani; Yasuhisa Iriki; Yuichi Ninomiya; Hideki Okui; So Kuwahata; Shoji Fujita; Takehiko Matsushita; Shiro Yoshifuku; Ryutaro Oba; Hiroyuki Hirai; Kinya Nagata; Chuwa Tei
Journal:  J Cardiol       Date:  2008-11-25       Impact factor: 3.159

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  9 in total

1.  The AFFORD clinical decision aid to identify emergency department patients with atrial fibrillation at low risk for 30-day adverse events.

Authors:  Tyler W Barrett; Alan B Storrow; Cathy A Jenkins; Robert L Abraham; Dandan Liu; Karen F Miller; Kelly M Moser; Stephan Russ; Dan M Roden; Frank E Harrell; Dawood Darbar
Journal:  Am J Cardiol       Date:  2015-01-06       Impact factor: 2.778

2.  Association of atrial fibrillation risk alleles and response to acute rate control therapy.

Authors:  Tyler W Barrett; Wesley H Self; Dawood Darbar; Cathy A Jenkins; Brian S Wasserman; Natasha A Kassim; Michael Casner; M Benjamin Shoemaker
Journal:  Am J Emerg Med       Date:  2016-02-10       Impact factor: 2.469

3.  Risk factors for bradycardia requiring pacemaker implantation in patients with atrial fibrillation.

Authors:  Tyler W Barrett; Robert L Abraham; Cathy A Jenkins; Stephan Russ; Alan B Storrow; Dawood Darbar
Journal:  Am J Cardiol       Date:  2012-07-26       Impact factor: 2.778

4.  Thirty-day mortality in ED patients with new onset atrial fibrillation and actively treated cancer.

Authors:  Thomas Lardaro; Wesley H Self; Tyler W Barrett
Journal:  Am J Emerg Med       Date:  2015-07-21       Impact factor: 2.469

5.  Evaluating the HATCH score for predicting progression to sustained atrial fibrillation in ED patients with new atrial fibrillation.

Authors:  Tyler W Barrett; Wesley H Self; Brian S Wasserman; Candace D McNaughton; Dawood Darbar
Journal:  Am J Emerg Med       Date:  2013-03-09       Impact factor: 2.469

6.  Validation of the Risk Estimator Decision Aid for Atrial Fibrillation (RED-AF) for predicting 30-day adverse events in emergency department patients with atrial fibrillation.

Authors:  Tyler W Barrett; Cathy A Jenkins; Wesley H Self
Journal:  Ann Emerg Med       Date:  2014-09-20       Impact factor: 5.721

7.  Usefulness of a low CHADS2 or CHA2DS2-VASc score to predict normal diagnostic testing in emergency department patients with an acute exacerbation of previously diagnosed atrial fibrillation.

Authors:  Tyler W Barrett; Robert L Abraham; Wesley H Self
Journal:  Am J Cardiol       Date:  2014-03-01       Impact factor: 2.778

8.  Predictors of regional variations in hospitalizations following emergency department visits for atrial fibrillation.

Authors:  Tyler W Barrett; Wesley H Self; Cathy A Jenkins; Alan B Storrow; Benjamin S Heavrin; Candace D McNaughton; Sean P Collins; Jeffrey J Goldberger
Journal:  Am J Cardiol       Date:  2013-08-22       Impact factor: 2.778

9.  What is the role of metabolic syndrome and obesity for postoperative atrial fibrillation after coronary bypass grafting?

Authors:  Ünsal Vural; Ahmet Arif Ağlar
Journal:  BMC Cardiovasc Disord       Date:  2019-06-17       Impact factor: 2.298

  9 in total

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