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Renal insufficiency predicts the time to first appropriate defibrillator shock
Indications for implantable cardioverter defibrillator (ICD) implantation are expanding, but many primary and secondary ICD trials have excluded patients with advanced renal insufficiency. We investigated the effect of renal function on the incidence and time to first appropriate ICD shock. We analy...
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Published in: | The American heart journal 2006-04, Vol.151 (4), p.852-856 |
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creator | Hreybe, Haitham Ezzeddine, Rana Bedi, Maninder Barrington, William Bazaz, Raveen Ganz, Leonard I. Jain, Sandeep Ngwu, Ogundu London, Barry Saba, Samir |
description | Indications for implantable cardioverter defibrillator (ICD) implantation are expanding, but many primary and secondary ICD trials have excluded patients with advanced renal insufficiency. We investigated the effect of renal function on the incidence and time to first appropriate ICD shock.
We analyzed data from all new ICD implantations at a tertiary care center from July 2001 to December 2002.
During a mean follow-up time of 445 ± 285 days, 29 (13%) of 230 patients (age 63 ± 14 years, 79% men, 77% white, 75% coronary artery disease, left ventricular ejection fraction 0.28 ± 0.14) received 41 appropriate shocks. Patients were divided into tertiles according to their serum creatinine level. The 1-year incidence of appropriate ICD shock was 3.8%, 10.8%, and 22.7% in the first, second, and third tertiles, respectively (
P = .003). Using the same cut off values of serum creatinine, the 1-year incidence of appropriate ICD therapy (shock and antitachycardia pacing) was 8.8%, 20.8%, and 26.3% (
P = .02). After correcting for age, sex, race, left ventricular ejection fraction, indication for ICD implantation, and use of β-blockers in a Cox regression model, serum creatinine was still an independent predictor of the time to first appropriate ICD shock (hazard ratio 6.0 for the third compared with the first tertile,
P = .001).
Renal insufficiency is a strong predictor of appropriate ICD shocks. Defibrillator therapy should therefore not be withheld based on the presence of this comorbidity. The mechanisms underlying the relationship between renal function and ventricular arrhythmias deserve further investigation. |
doi_str_mv | 10.1016/j.ahj.2005.06.042 |
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We analyzed data from all new ICD implantations at a tertiary care center from July 2001 to December 2002.
During a mean follow-up time of 445 ± 285 days, 29 (13%) of 230 patients (age 63 ± 14 years, 79% men, 77% white, 75% coronary artery disease, left ventricular ejection fraction 0.28 ± 0.14) received 41 appropriate shocks. Patients were divided into tertiles according to their serum creatinine level. The 1-year incidence of appropriate ICD shock was 3.8%, 10.8%, and 22.7% in the first, second, and third tertiles, respectively (
P = .003). Using the same cut off values of serum creatinine, the 1-year incidence of appropriate ICD therapy (shock and antitachycardia pacing) was 8.8%, 20.8%, and 26.3% (
P = .02). After correcting for age, sex, race, left ventricular ejection fraction, indication for ICD implantation, and use of β-blockers in a Cox regression model, serum creatinine was still an independent predictor of the time to first appropriate ICD shock (hazard ratio 6.0 for the third compared with the first tertile,
P = .001).
Renal insufficiency is a strong predictor of appropriate ICD shocks. Defibrillator therapy should therefore not be withheld based on the presence of this comorbidity. The mechanisms underlying the relationship between renal function and ventricular arrhythmias deserve further investigation.</description><identifier>ISSN: 0002-8703</identifier><identifier>EISSN: 1097-6744</identifier><identifier>DOI: 10.1016/j.ahj.2005.06.042</identifier><identifier>PMID: 16569548</identifier><identifier>CODEN: AHJOA2</identifier><language>eng</language><publisher>New York, NY: Mosby, Inc</publisher><subject>Aged ; Arrhythmias, Cardiac - epidemiology ; Biological and medical sciences ; Cardiac arrhythmia ; Cardiology. Vascular system ; Cardiovascular disease ; Comorbidity ; Coronary Disease - epidemiology ; Creatinine - blood ; Defibrillators, Implantable ; Demographics ; Diabetic Angiopathies - epidemiology ; Disease prevention ; Dyslipidemias - epidemiology ; Electronic health records ; Female ; Heart ; Heart attacks ; Heart rate ; Humans ; Kidney diseases ; Male ; Medical records ; Medical sciences ; Middle Aged ; Mortality ; Multivariate Analysis ; Nephrology. Urinary tract diseases ; Nephropathies. Renovascular diseases. Renal failure ; Proportional Hazards Models ; Renal Dialysis ; Renal failure ; Renal Insufficiency - epidemiology ; Retrospective Studies ; Risk Factors ; Studies</subject><ispartof>The American heart journal, 2006-04, Vol.151 (4), p.852-856</ispartof><rights>2006 Mosby, Inc.</rights><rights>2006 INIST-CNRS</rights><rights>Copyright Elsevier Limited Apr 2006</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c475t-17e16e4cd99534e0c9a0c8f9f654c79386247e1081e4ec737b60ea99d92da5b73</citedby><cites>FETCH-LOGICAL-c475t-17e16e4cd99534e0c9a0c8f9f654c79386247e1081e4ec737b60ea99d92da5b73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17674651$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16569548$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hreybe, Haitham</creatorcontrib><creatorcontrib>Ezzeddine, Rana</creatorcontrib><creatorcontrib>Bedi, Maninder</creatorcontrib><creatorcontrib>Barrington, William</creatorcontrib><creatorcontrib>Bazaz, Raveen</creatorcontrib><creatorcontrib>Ganz, Leonard I.</creatorcontrib><creatorcontrib>Jain, Sandeep</creatorcontrib><creatorcontrib>Ngwu, Ogundu</creatorcontrib><creatorcontrib>London, Barry</creatorcontrib><creatorcontrib>Saba, Samir</creatorcontrib><title>Renal insufficiency predicts the time to first appropriate defibrillator shock</title><title>The American heart journal</title><addtitle>Am Heart J</addtitle><description>Indications for implantable cardioverter defibrillator (ICD) implantation are expanding, but many primary and secondary ICD trials have excluded patients with advanced renal insufficiency. We investigated the effect of renal function on the incidence and time to first appropriate ICD shock.
We analyzed data from all new ICD implantations at a tertiary care center from July 2001 to December 2002.
During a mean follow-up time of 445 ± 285 days, 29 (13%) of 230 patients (age 63 ± 14 years, 79% men, 77% white, 75% coronary artery disease, left ventricular ejection fraction 0.28 ± 0.14) received 41 appropriate shocks. Patients were divided into tertiles according to their serum creatinine level. The 1-year incidence of appropriate ICD shock was 3.8%, 10.8%, and 22.7% in the first, second, and third tertiles, respectively (
P = .003). Using the same cut off values of serum creatinine, the 1-year incidence of appropriate ICD therapy (shock and antitachycardia pacing) was 8.8%, 20.8%, and 26.3% (
P = .02). After correcting for age, sex, race, left ventricular ejection fraction, indication for ICD implantation, and use of β-blockers in a Cox regression model, serum creatinine was still an independent predictor of the time to first appropriate ICD shock (hazard ratio 6.0 for the third compared with the first tertile,
P = .001).
Renal insufficiency is a strong predictor of appropriate ICD shocks. Defibrillator therapy should therefore not be withheld based on the presence of this comorbidity. The mechanisms underlying the relationship between renal function and ventricular arrhythmias deserve further investigation.</description><subject>Aged</subject><subject>Arrhythmias, Cardiac - epidemiology</subject><subject>Biological and medical sciences</subject><subject>Cardiac arrhythmia</subject><subject>Cardiology. Vascular system</subject><subject>Cardiovascular disease</subject><subject>Comorbidity</subject><subject>Coronary Disease - epidemiology</subject><subject>Creatinine - blood</subject><subject>Defibrillators, Implantable</subject><subject>Demographics</subject><subject>Diabetic Angiopathies - epidemiology</subject><subject>Disease prevention</subject><subject>Dyslipidemias - epidemiology</subject><subject>Electronic health records</subject><subject>Female</subject><subject>Heart</subject><subject>Heart attacks</subject><subject>Heart rate</subject><subject>Humans</subject><subject>Kidney diseases</subject><subject>Male</subject><subject>Medical records</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Multivariate Analysis</subject><subject>Nephrology. Urinary tract diseases</subject><subject>Nephropathies. Renovascular diseases. Renal failure</subject><subject>Proportional Hazards Models</subject><subject>Renal Dialysis</subject><subject>Renal failure</subject><subject>Renal Insufficiency - epidemiology</subject><subject>Retrospective Studies</subject><subject>Risk Factors</subject><subject>Studies</subject><issn>0002-8703</issn><issn>1097-6744</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><recordid>eNp9kU1r3DAQhkVoSTZpfkAuxVDSm52RrU9yKiFNC6GB0J6FVh6xcr32RpIL-fdRuguBHnrRIHhmmHleQi4oNBSouBoauxmaFoA3IBpg7RFZUdCyFpKxd2QFAG2tJHQn5DSloXxFq8QxOaGCC82ZWpEfjzjZsQpTWrwPLuDknqtdxD64nKq8wSqHbXnmyoeYcmV3uzjvYrAZqx59WMcwjjbPsUqb2f3-QN57OyY8P9Qz8uvr7c-bb_X9w933my_3tWOS55pKpAKZ67XmHUNw2oJTXnvBmZO6U6JlBQFFkaGTnVwLQKt1r9ve8rXszsjn_dyyzdOCKZttSA7LKhPOSzJCKhBKsgJ--gcc5iWWk5OhHJigmmpVKLqnXJxTiuhNOXFr47OhYF5Vm8EU1eZVtQFhiurS8_EweVlvsX_rOLgtwOUBsMnZ0Uc7uZDeOFlSEpwW7nrPYRH2J2A06W8OJYOILpt-Dv9Z4wXJK5ss</recordid><startdate>20060401</startdate><enddate>20060401</enddate><creator>Hreybe, Haitham</creator><creator>Ezzeddine, Rana</creator><creator>Bedi, Maninder</creator><creator>Barrington, William</creator><creator>Bazaz, Raveen</creator><creator>Ganz, Leonard I.</creator><creator>Jain, Sandeep</creator><creator>Ngwu, Ogundu</creator><creator>London, Barry</creator><creator>Saba, Samir</creator><general>Mosby, Inc</general><general>Elsevier</general><general>Elsevier Limited</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20060401</creationdate><title>Renal insufficiency predicts the time to first appropriate defibrillator shock</title><author>Hreybe, Haitham ; Ezzeddine, Rana ; Bedi, Maninder ; Barrington, William ; Bazaz, Raveen ; Ganz, Leonard I. ; Jain, Sandeep ; Ngwu, Ogundu ; London, Barry ; Saba, Samir</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c475t-17e16e4cd99534e0c9a0c8f9f654c79386247e1081e4ec737b60ea99d92da5b73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Aged</topic><topic>Arrhythmias, Cardiac - epidemiology</topic><topic>Biological and medical sciences</topic><topic>Cardiac arrhythmia</topic><topic>Cardiology. Vascular system</topic><topic>Cardiovascular disease</topic><topic>Comorbidity</topic><topic>Coronary Disease - epidemiology</topic><topic>Creatinine - blood</topic><topic>Defibrillators, Implantable</topic><topic>Demographics</topic><topic>Diabetic Angiopathies - epidemiology</topic><topic>Disease prevention</topic><topic>Dyslipidemias - epidemiology</topic><topic>Electronic health records</topic><topic>Female</topic><topic>Heart</topic><topic>Heart attacks</topic><topic>Heart rate</topic><topic>Humans</topic><topic>Kidney diseases</topic><topic>Male</topic><topic>Medical records</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Multivariate Analysis</topic><topic>Nephrology. Urinary tract diseases</topic><topic>Nephropathies. Renovascular diseases. Renal failure</topic><topic>Proportional Hazards Models</topic><topic>Renal Dialysis</topic><topic>Renal failure</topic><topic>Renal Insufficiency - epidemiology</topic><topic>Retrospective Studies</topic><topic>Risk Factors</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hreybe, Haitham</creatorcontrib><creatorcontrib>Ezzeddine, Rana</creatorcontrib><creatorcontrib>Bedi, Maninder</creatorcontrib><creatorcontrib>Barrington, William</creatorcontrib><creatorcontrib>Bazaz, Raveen</creatorcontrib><creatorcontrib>Ganz, Leonard I.</creatorcontrib><creatorcontrib>Jain, Sandeep</creatorcontrib><creatorcontrib>Ngwu, Ogundu</creatorcontrib><creatorcontrib>London, Barry</creatorcontrib><creatorcontrib>Saba, Samir</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>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>ProQuest Nursing & Allied Health Database</collection><collection>Physical Education Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>British Nursing Database</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Health Management Database (Proquest)</collection><collection>Medical Database</collection><collection>ProQuest Research Library</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>The American heart journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hreybe, Haitham</au><au>Ezzeddine, Rana</au><au>Bedi, Maninder</au><au>Barrington, William</au><au>Bazaz, Raveen</au><au>Ganz, Leonard I.</au><au>Jain, Sandeep</au><au>Ngwu, Ogundu</au><au>London, Barry</au><au>Saba, Samir</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Renal insufficiency predicts the time to first appropriate defibrillator shock</atitle><jtitle>The American heart journal</jtitle><addtitle>Am Heart J</addtitle><date>2006-04-01</date><risdate>2006</risdate><volume>151</volume><issue>4</issue><spage>852</spage><epage>856</epage><pages>852-856</pages><issn>0002-8703</issn><eissn>1097-6744</eissn><coden>AHJOA2</coden><abstract>Indications for implantable cardioverter defibrillator (ICD) implantation are expanding, but many primary and secondary ICD trials have excluded patients with advanced renal insufficiency. We investigated the effect of renal function on the incidence and time to first appropriate ICD shock.
We analyzed data from all new ICD implantations at a tertiary care center from July 2001 to December 2002.
During a mean follow-up time of 445 ± 285 days, 29 (13%) of 230 patients (age 63 ± 14 years, 79% men, 77% white, 75% coronary artery disease, left ventricular ejection fraction 0.28 ± 0.14) received 41 appropriate shocks. Patients were divided into tertiles according to their serum creatinine level. The 1-year incidence of appropriate ICD shock was 3.8%, 10.8%, and 22.7% in the first, second, and third tertiles, respectively (
P = .003). Using the same cut off values of serum creatinine, the 1-year incidence of appropriate ICD therapy (shock and antitachycardia pacing) was 8.8%, 20.8%, and 26.3% (
P = .02). After correcting for age, sex, race, left ventricular ejection fraction, indication for ICD implantation, and use of β-blockers in a Cox regression model, serum creatinine was still an independent predictor of the time to first appropriate ICD shock (hazard ratio 6.0 for the third compared with the first tertile,
P = .001).
Renal insufficiency is a strong predictor of appropriate ICD shocks. Defibrillator therapy should therefore not be withheld based on the presence of this comorbidity. The mechanisms underlying the relationship between renal function and ventricular arrhythmias deserve further investigation.</abstract><cop>New York, NY</cop><pub>Mosby, Inc</pub><pmid>16569548</pmid><doi>10.1016/j.ahj.2005.06.042</doi><tpages>5</tpages></addata></record> |
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subjects | Aged Arrhythmias, Cardiac - epidemiology Biological and medical sciences Cardiac arrhythmia Cardiology. Vascular system Cardiovascular disease Comorbidity Coronary Disease - epidemiology Creatinine - blood Defibrillators, Implantable Demographics Diabetic Angiopathies - epidemiology Disease prevention Dyslipidemias - epidemiology Electronic health records Female Heart Heart attacks Heart rate Humans Kidney diseases Male Medical records Medical sciences Middle Aged Mortality Multivariate Analysis Nephrology. Urinary tract diseases Nephropathies. Renovascular diseases. Renal failure Proportional Hazards Models Renal Dialysis Renal failure Renal Insufficiency - epidemiology Retrospective Studies Risk Factors Studies |
title | Renal insufficiency predicts the time to first appropriate defibrillator shock |
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