Literature DB >> 17560884

Clinical and echocardiographic markers of mortality risk in patients with atrial fibrillation.

Taiyeb M Khumri1, Madhuri Idupulapati, Valerie J Rader, Sunil Nayyar, Casey N Stoner, Michael L Main.   

Abstract

Atrial fibrillation (AF) is independently associated with increases in cardiovascular and all-cause mortality. Although cardiovascular co-morbidities predict stroke risk in AF, their relation with mortality has not been well described. To identify clinical and echocardiographic markers of mortality in patients with AF, 524 patients with AF underwent transesophageal echocardiography from August 2000 to March 2005. Clinical risk factors for systemic thromboembolism were determined for each patient. A CHADS2 (congestive heart failure, hypertension, age>75 years, diabetes, and previous stroke or transient ischemic attack) score ranging from 0 to 6 was calculated for each patient. Transesophageal echocardiographic reports were reviewed for the presence of left atrial spontaneous echocardiographic contrast, left atrial thrombus, the left ventricular ejection fraction, aortic arch atheroma, and the presence and severity of mitral regurgitation. Mortality data were obtained from the Social Security Death Master File. Univariate and multivariate models were structured to assess which variables predicted mortality. In a multivariate model, a history of heart failure, age>75 years, the absence of systemic anticoagulation with warfarin, the presence of left atrial spontaneous echocardiographic contrast, and greater than moderate mitral regurgitation were independent predictors of mortality. Increasing CHADS2 score was also an independent predictor of mortality. A CHADS2 score of 5 or 6 was associated with a >50-fold increase in mortality compared with patients with CHADS2 scores of 0. In conclusion, a history of heart failure, age>or=75 years, the absence of chronic oral anticoagulation, a CHADS2 score>0, and greater than moderate mitral regurgitation are independent predictors of mortality in patients with AF.

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Year:  2007        PMID: 17560884     DOI: 10.1016/j.amjcard.2007.01.055

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  10 in total

1.  A clinical prediction model to estimate risk for 30-day adverse events in emergency department patients with symptomatic atrial fibrillation.

Authors:  Tyler W Barrett; Amy R Martin; Alan B Storrow; Cathy A Jenkins; Frank E Harrell; Stephan Russ; Dan M Roden; Dawood Darbar
Journal:  Ann Emerg Med       Date:  2010-08-21       Impact factor: 5.721

2.  The Prognostic Significance of Cardiac Structure and Function in Atrial Fibrillation: The ENGAGE AF-TIMI 48 Echocardiographic Substudy.

Authors:  Deepak K Gupta; Robert P Giugliano; Christian T Ruff; Brian Claggett; Sabina Murphy; Elliott Antman; Michele F Mercuri; Eugene Braunwald; Scott D Solomon
Journal:  J Am Soc Echocardiogr       Date:  2016-04-20       Impact factor: 5.251

Review 3.  Atrial Fibrillation: The New Epidemic of the Ageing World.

Authors:  Wilbert S Aronow; Maciej Banach
Journal:  J Atr Fibrillation       Date:  2009-04-01

4.  Usefulness of high-sensitivity C-reactive protein to predict mortality in patients with atrial fibrillation (from the Atherosclerosis Risk In Communities [ARIC] Study).

Authors:  José Hermida; Faye L Lopez; Ramón Montes; Kunihiro Matsushita; Brad C Astor; Alvaro Alonso
Journal:  Am J Cardiol       Date:  2011-09-29       Impact factor: 2.778

5.  Glomerular filtration rate: A prognostic marker in atrial fibrillation-A subanalysis of the AntiThrombotic Agents Atrial Fibrillation.

Authors:  Riccardo Proietti; Lucio Gonzini; Giovanni Pizzimenti; Antonietta Ledda; Pietro Sanna; Ahmed AlTurki; Vincenzo Russo; Mauro Lencioni
Journal:  Clin Cardiol       Date:  2018-12-04       Impact factor: 2.882

6.  Body mass index and risk of left atrial thrombus in patients with atrial fibrillation.

Authors:  Ri-Bo Tang; Xiao-Hui Liu; Jérôme Kalifa; Zhi-An Li; Jian-Zeng Dong; Ya Yang; Xing-Peng Liu; De-Yong Long; Rong-Hui Yu; Chang-Sheng Ma
Journal:  Am J Cardiol       Date:  2009-12-15       Impact factor: 2.778

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

Review 8.  How does Chronic Atrial Fibrillation Influence Mortality in the Modern Treatment Era?

Authors:  Rajiv Sankaranarayanan; Graeme Kirkwood; Rajaverma Visweswariah; David J Fox
Journal:  Curr Cardiol Rev       Date:  2015

9.  Atrial fibrillation and CHADS2 score as mortality predictors in young versus elderly patients undergoing coronary angiography.

Authors:  Nicholay Teodorovich; Michael Sraia Swissa; Yonatan Kogan; Gera Gandelman; Michael Jonas; Jacob George; Moshe Swissa
Journal:  J Geriatr Cardiol       Date:  2017-09       Impact factor: 3.327

10.  Angiographic profile and outcomes in persistent non-valvular atrial fibrillation: A study from tertiary care center in North India.

Authors:  Yash Paul Sharma; Akash Batta; Kunaal Makkar; Juniali Hatwal; Atit A Gawalkar; Navjyot Kaur; Tejinder Singh Malhi; Ganesh Kasinadhuni; Himanshu Gupta; Prashant Panda; Parag Barwad
Journal:  Indian Heart J       Date:  2021-12-24
  10 in total

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