Literature DB >> 22246946

Can we predict outcomes in atrial fibrillation?

Nihar R Desai1, Robert P Giugliano.   

Abstract

Atrial fibrillation (AF) is the most common arrhythmia encountered by generalists and cardiologists alike. Much of the attendant morbidity from AF arises from systemic embolic complications which are effectively reduced with utilization of anti-platelet and/or anticoagulant therapy. The systemic embolic complications of AF and the medical therapy to attenuate these risks are very well established. Through the course of this review, we aim to highlight the complex relationship between AF and other, "non-embolic" outcomes. The presence of AF has been demonstrated to be associated with a 1.5 to 2-fold increase in mortality across numerous observational cohorts. Still further, AF frequently coexists with heart failure, whether as a causative factor or a consequence of underlying structural heart disease or neurohumoral derangement, where its presence is associated with worse clinical outcomes. Whether AF is an independent risk factor for acute coronary syndromes (ACS) remains controversial, though its occurrence in patients with ACS has been shown to be associated with adverse outcomes both in observational cohorts as well as clinical trial populations. Individuals with AF have a 1.5 to 3-fold increase in the rate of hospitalization and are at elevated risk for other arrhythmic disorders including both bradyarrhythmias as well as tachyarrhythmias. AF leads to considerable morbidity and mortality for patients and exacts a tremendous financial toll on the healthcare system-estimated to range from $6.0 to $26.0 billion. Given the current demographic transition in developed countries, the prevalence of AF will continue to increase and the need for refined approaches to risk stratification and pharmacotherapeutic interventions to attenuate the burden on patients will only become more important.
© 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22246946      PMCID: PMC6652364          DOI: 10.1002/clc.20989

Source DB:  PubMed          Journal:  Clin Cardiol        ISSN: 0160-9289            Impact factor:   2.882


  9 in total

1.  Anthropometric parameters and the incidence of atrial fibrillation in older people: the PRO.V.A study.

Authors:  Caterina Trevisan; Stefania Maggi; Chiara Curreri; Giovanni Nante; Marianna Noale; Marina De Rui; Egle Perissinotto; Leonardo Sartori; Sabina Zambon; Gaetano Crepaldi; Enzo Manzato; Giuseppe Sergi
Journal:  Clin Cardiol       Date:  2017-02-13       Impact factor: 2.882

2.  A Review of the Relationship of Atrial Fibrillation and Acute Coronary Syndrome.

Authors:  Bory Kea; Tahroma Alligood; Vincent Manning; Merritt Raitt
Journal:  Curr Emerg Hosp Med Rep       Date:  2016-07-06

3.  Impaired Erythrocyte Deformability in Patients with Coronary Risk Factors: Significance of Nonvalvular Atrial Fibrillation.

Authors:  Keita Odashiro; Toru Maruyama; Taku Yokoyama; Hisataka Nakamura; Mitsuhiro Fukata; Shioto Yasuda; Kazuyuki Saito; Takehiko Fujino; Koichi Akashi
Journal:  J Atr Fibrillation       Date:  2013-10-31

4.  Patients with atrial fibrillation complicated by coronary artery disease. Is a single value of sensitive cardiac troponin I on admission enough?

Authors:  Dirk Bandorski; Harilaos Bogossian; Olaf Braun; Gerrit Frommeyer; Markus Zarse; Reinhard Höltgen; Christoph Liebetrau
Journal:  Herzschrittmacherther Elektrophysiol       Date:  2015-02-05

5.  NT-proBNP is associated with mortality and adverse cardiac events in patients with atrial fibrillation presenting to the emergency department.

Authors:  Marijn J Holl; Ewout J van den Bos; Ron T van Domburg; Michael A Fouraux; Marcel J Kofflard
Journal:  Clin Cardiol       Date:  2018-02-26       Impact factor: 2.882

6.  Multimorbidity and the risk of hospitalization and death in atrial fibrillation: A population-based study.

Authors:  Alanna M Chamberlain; Alvaro Alonso; Bernard J Gersh; Sheila M Manemann; Jill M Killian; Susan A Weston; Margaret Byrne; Véronique L Roger
Journal:  Am Heart J       Date:  2016-12-09       Impact factor: 4.749

7.  Predicting Inpatient Readmission and Outpatient Admission in Elderly: A Population-Based Cohort Study.

Authors:  Kun-Pei Lin; Pei-Chun Chen; Ling-Ya Huang; Hsiu-Chen Mao; Ding-Cheng Derrick Chan
Journal:  Medicine (Baltimore)       Date:  2016-04       Impact factor: 1.889

8.  Identification of acute myocardial infarction in patients with atrial fibrillation and chest pain with a contemporary sensitive troponin I assay.

Authors:  Christoph Liebetrau; Michael Weber; Stergios Tzikas; Lars Palapies; Helge Möllmann; Gerhard Pioro; Tanja Zeller; Andres Beiras-Fernandez; Christoph Bickel; Andreas M Zeiher; Karl J Lackner; Stephan Baldus; Holger M Nef; Stefan Blankenberg; Christian W Hamm; Thomas Münzel; Till Keller
Journal:  BMC Med       Date:  2015-07-27       Impact factor: 8.775

9.  Effect of Oral Anticoagulant Therapy on Coagulation Activity and Inflammatory Markers in Patients with Atrial Fibrillation Undergoing Ablation: A Randomized Comparison between Dabigatran and Warfarin.

Authors:  Shahideh Amini; Kheirollah Gholami; Hooman Bakhshandeh; Bahram Fariborz Farsad
Journal:  Iran J Pharm Res       Date:  2013       Impact factor: 1.696

  9 in total

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