Literature DB >> 17540194

Preventing tomorrow's sudden cardiac death today: part I: Current data on risk stratification for sudden cardiac death.

Sana M Al-Khatib1, Gillian D Sanders, J Thomas Bigger, Alfred E Buxton, Robert M Califf, Mark Carlson, Anne Curtis, Jeptha Curtis, Eric Fain, Bernard J Gersh, Michael R Gold, Ali Haghighi-Mood, Stephen C Hammill, Jeff Healey, Mark Hlatky, Stefan Hohnloser, Raymond J Kim, Kerry Lee, Daniel Mark, Marcus Mianulli, Brent Mitchell, Eric N Prystowsky, Joseph Smith, David Steinhaus, Wojciech Zareba.   

Abstract

Accurate and timely prediction of sudden cardiac death (SCD) is a necessary prerequisite for effective prevention and therapy. Although the largest number of SCD events occurs in patients without overt heart disease, there are currently no tests that are of proven predictive value in this population. Efforts in risk stratification for SCD have focused primarily on predicting SCD in patients with known structural heart disease. Despite the ubiquity of tests that have been purported to predict SCD vulnerability in such patients, there is little consensus on which test, in addition to the left ventricular ejection fraction, should be used to determine which patients will benefit from an implantable cardioverter defibrillator. On July 20 and 21, 2006, a group of experts representing clinical cardiology, cardiac electrophysiology, biostatistics, economics, and health policy were joined by representatives of the US Food and Drug administration, Centers for Medicare Services, Agency for Health Research and Quality, the Heart Rhythm Society, and the device and pharmaceutical industry for a round table meeting to review current data on strategies of risk stratification for SCD, to explore methods to translate these strategies into practice and policy, and to identify areas that need to be addressed by future research studies. The meeting was organized by the Duke Center for the Prevention of SCD at the Duke Clinical Research Institute and was funded by industry participants. This article summarizes the presentations and discussions that occurred at that meeting.

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Year:  2007        PMID: 17540194     DOI: 10.1016/j.ahj.2007.03.003

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  7 in total

1.  A time local subset feature selection for prediction of sudden cardiac death from ECG signal.

Authors:  Elias Ebrahimzadeh; Mohammad Sajad Manuchehri; Sana Amoozegar; Babak Nadjar Araabi; Hamid Soltanian-Zadeh
Journal:  Med Biol Eng Comput       Date:  2017-12-14       Impact factor: 2.602

2.  Sudden death risk in type 2 diabetic patients post-myocardial infarction: a "sweet" opportunity?

Authors:  Siva K Mulpuru; David E Krummen; Sanjiv M Narayan
Journal:  Heart Rhythm       Date:  2010-08-24       Impact factor: 6.343

3.  Ventricular arrhythmias and changes in heart rate preceding ventricular tachycardia in patients with an implantable cardioverter defibrillator.

Authors:  Claudia Lerma; Niels Wessel; Alexander Schirdewan; Jürgen Kurths; Leon Glass
Journal:  Med Biol Eng Comput       Date:  2008-03-15       Impact factor: 2.602

4.  Volumetric left ventricular ejection fraction is superior to 2-dimensional echocardiography for risk stratification of patients for primary prevention implantable cardioverter-defibrillator implantation.

Authors:  Hussein Rayatzadeh; Shalin J Patel; Thomas H Hauser; Long L Ngo; Jaime L Shaw; Alex Tan; Alfred E Buxton; Peter Zimetbaum; Mark E Josephson; Evan Appelbaum; Warren J Manning; Reza Nezafat
Journal:  Am J Cardiol       Date:  2013-02-01       Impact factor: 2.778

5.  Global longitudinal strain for prediction of ventricular arrhythmia in patients with heart failure.

Authors:  Mohammad Hossein Nikoo; Razieh Naeemi; Alireza Moaref; Armin Attar
Journal:  ESC Heart Fail       Date:  2020-07-25

6.  Clinical and arrhythmic outcomes after implantation of a defibrillator for primary prevention of sudden death in patients with post-myocardial infarction cardiomyopathy: The Survey to Evaluate Arrhythmia Rate in High-risk MI patients (SEARCH-MI).

Authors:  Massimo Santini; Maurizio Russo; Gianluca Botto; Maurizio Lunati; Alessandro Proclemer; Boris Schmidt; Ali Erdogan; Erhard Helmling; Werner Rauhe; Martin Desaga; Elisabetta Santi; Marc Messier; Giuseppe Boriani
Journal:  Europace       Date:  2009-01-09       Impact factor: 5.214

7.  The Ser96Ala variant in histidine-rich calcium-binding protein is associated with life-threatening ventricular arrhythmias in idiopathic dilated cardiomyopathy.

Authors:  Demetrios A Arvanitis; Despina Sanoudou; Fotis Kolokathis; Elizabeth Vafiadaki; Vasiliki Papalouka; Aikaterini Kontrogianni-Konstantopoulos; George N Theodorakis; Ioannis A Paraskevaidis; Stamatios Adamopoulos; Gerald W Dorn; Dimitrios Th Kremastinos; Evangelia G Kranias
Journal:  Eur Heart J       Date:  2008-07-09       Impact factor: 29.983

  7 in total

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