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Prevalence and Predictors of Electrical Storm in Patients With Implantable Cardioverter-Defibrillator
Identifying predictors of electrical storm in patients with implantable cardioverter-defibrillators (ICDs) could help identify those at risk and reduce the incidence of this emergency situation, which has a detrimental effect on mortality and morbidity in patients with ICDs. This retrospective study...
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Published in: | The American journal of cardiology 2006-02, Vol.97 (3), p.389-392 |
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container_title | The American journal of cardiology |
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creator | Arya, Arash Haghjoo, Majid Dehghani, Mohammad Reza Fazelifar, Amir Farjam Nikoo, Mohammad-Hosein Bagherzadeh, Ataollah Sadr-Ameli, Mohammad Ali |
description | Identifying predictors of electrical storm in patients with implantable cardioverter-defibrillators (ICDs) could help identify those at risk and reduce the incidence of this emergency situation, which has a detrimental effect on mortality and morbidity in patients with ICDs. This retrospective study sought to determine the prevalence and predictors of electrical storm in patients with ICDs. One hundred sixty-two patients (126 men; mean age 58 ± 13 years) who received ICDs from January 2001 to January 2005 were included in the study. Clinical, electrocardiographic, and ICD stored data and electrograms were collected and analyzed. Twenty-two patients (14%) developed electrical storm during a mean follow-up of 14.3 ± 10 months. Using Cox multiple regression analysis, it was found that an ejection fraction |
doi_str_mv | 10.1016/j.amjcard.2005.08.058 |
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This retrospective study sought to determine the prevalence and predictors of electrical storm in patients with ICDs. One hundred sixty-two patients (126 men; mean age 58 ± 13 years) who received ICDs from January 2001 to January 2005 were included in the study. Clinical, electrocardiographic, and ICD stored data and electrograms were collected and analyzed. Twenty-two patients (14%) developed electrical storm during a mean follow-up of 14.3 ± 10 months. Using Cox multiple regression analysis, it was found that an ejection fraction <25% (p = 0.007), QRS width ≥120 ms (p = 0.002), and a lack of adjunctive angiotensin-converting enzyme inhibitor and β-blocker therapy (both p <0.001) were correlated with a greater probability of electrical storm. Adjunctive amiodarone and digoxin therapy, indication of ICD implantation, and age were not correlated with the occurrence of electrical storm during follow-up (all p = NS). In conclusion, electrical storm is not uncommon in patients with ICDs. 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Vascular system</topic><topic>Defibrillators</topic><topic>Defibrillators, Implantable - adverse effects</topic><topic>Female</topic><topic>Heart Diseases - therapy</topic><topic>Humans</topic><topic>Iran - epidemiology</topic><topic>Male</topic><topic>Medical research</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Prevalence</topic><topic>Retrospective Studies</topic><topic>Risk</topic><topic>Transplants & implants</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Arya, Arash</creatorcontrib><creatorcontrib>Haghjoo, Majid</creatorcontrib><creatorcontrib>Dehghani, Mohammad Reza</creatorcontrib><creatorcontrib>Fazelifar, Amir Farjam</creatorcontrib><creatorcontrib>Nikoo, Mohammad-Hosein</creatorcontrib><creatorcontrib>Bagherzadeh, Ataollah</creatorcontrib><creatorcontrib>Sadr-Ameli, Mohammad Ali</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Physical Education Index</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biochemistry Abstracts 1</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>The American journal of cardiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Arya, Arash</au><au>Haghjoo, Majid</au><au>Dehghani, Mohammad Reza</au><au>Fazelifar, Amir Farjam</au><au>Nikoo, Mohammad-Hosein</au><au>Bagherzadeh, Ataollah</au><au>Sadr-Ameli, Mohammad Ali</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prevalence and Predictors of Electrical Storm in Patients With Implantable Cardioverter-Defibrillator</atitle><jtitle>The American journal of cardiology</jtitle><addtitle>Am J Cardiol</addtitle><date>2006-02-01</date><risdate>2006</risdate><volume>97</volume><issue>3</issue><spage>389</spage><epage>392</epage><pages>389-392</pages><issn>0002-9149</issn><eissn>1879-1913</eissn><coden>AJCDAG</coden><abstract>Identifying predictors of electrical storm in patients with implantable cardioverter-defibrillators (ICDs) could help identify those at risk and reduce the incidence of this emergency situation, which has a detrimental effect on mortality and morbidity in patients with ICDs. 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subjects | Adult Aged Arrhythmias, Cardiac - epidemiology Arrhythmias, Cardiac - etiology Biological and medical sciences Cardiac arrhythmia Cardiology Cardiology. Vascular system Defibrillators Defibrillators, Implantable - adverse effects Female Heart Diseases - therapy Humans Iran - epidemiology Male Medical research Medical sciences Middle Aged Prevalence Retrospective Studies Risk Transplants & implants |
title | Prevalence and Predictors of Electrical Storm in Patients With Implantable Cardioverter-Defibrillator |
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