Literature DB >> 24950672

Arrhythmias in structural heart disease.

H Sawyer Gillespie1, Charles C H Lin, Jordan M Prutkin.   

Abstract

The presence of structural heart disease is often associated with the development of electrical abnormalities of the heart, manifesting as atrial and ventricular arrhythmias. These can occur in those with ischemic and nonischemic cardiomyopathies, congenital heart disease, and various acquired and intrinsic structural abnormalities of the myocardium. Treatment of these arrhythmias generally involves treatment of the underlying disorder first, if possible, such as with surgical or catheter-based intervention. Other therapies, including medical therapy with beta-blockers and anti-arrhythmic agents, pacemakers and implantable cardioverter-defibrillators (ICDs), and ablation may be offered both as prophylactic therapy or if arrhythmias have developed. In some instances, therapy is undertaken regardless of whether there are symptoms. ICDs provide support for those patients at risk for malignant, life-threatening arrhythmias, but appropriate patient and device selection are vital to improve mortality and to limit adverse events.

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Year:  2014        PMID: 24950672     DOI: 10.1007/s11886-014-0510-7

Source DB:  PubMed          Journal:  Curr Cardiol Rep        ISSN: 1523-3782            Impact factor:   2.931


  87 in total

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2.  Permanent pacing in Ebstein's anomaly.

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Journal:  Circulation       Date:  2000-03-21       Impact factor: 29.690

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7.  Temporal relations of atrial fibrillation and congestive heart failure and their joint influence on mortality: the Framingham Heart Study.

Authors:  Thomas J Wang; Martin G Larson; Daniel Levy; Ramachandran S Vasan; Eric P Leip; Philip A Wolf; Ralph B D'Agostino; Joanne M Murabito; William B Kannel; Emelia J Benjamin
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10.  Identification and ablation of three types of ventricular tachycardia involving the his-purkinje system in patients with heart disease.

Authors:  Gustavo Lopera; William G Stevenson; Kyoko Soejima; William H Maisel; Bruce Koplan; John L Sapp; S Dinakar Satti; Laurence M Epstein
Journal:  J Cardiovasc Electrophysiol       Date:  2004-01
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  1 in total

1.  Prediction of arrhythmia susceptibility through mathematical modeling and machine learning.

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Journal:  Proc Natl Acad Sci U S A       Date:  2021-09-14       Impact factor: 11.205

  1 in total

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