Abstract 13171: Complex Heart Failure Phenotypes May Occur Across the Spectrum of Lvef With Important Implications for Etiology and Clinical Outcomes
BackgroundHeart failure (HF) is typically classified according to ejection fraction (EF). The underlying pathophysiology is a heterogeneous process that may be better characterized by clinical phenotypes.MethodsIndividual patient data from 2130 patients enrolled in HF-ACTION (LVEF ≤ 35%) and 1767 pa...
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Veröffentlicht in: | Circulation (New York, N.Y.) N.Y.), 2018-11, Vol.138 (Suppl_1 Suppl 1), p.A13171-A13171 |
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creator | Butler, Maggie Roeder, Christophe Doran, Bethany Merrill, Miranda Jhund, Pardeep Kao, David Gorg, Carsten Stevens, Laura |
description | BackgroundHeart failure (HF) is typically classified according to ejection fraction (EF). The underlying pathophysiology is a heterogeneous process that may be better characterized by clinical phenotypes.MethodsIndividual patient data from 2130 patients enrolled in HF-ACTION (LVEF ≤ 35%) and 1767 patients enrolled from the Americas in TOPCAT (LVEF ≥ 45%) were harmonized and aggregated. Cluster-based HF phenotypes were identified using latent class analysis based on 13 clinical characteristics (Table) but excluding LVEF. LVEF distribution within phenotypes was then quantified following phenotyping. The primary outcome was a composite of cardiovascular mortality (CVM) or HF hospitalization (HFH). Secondary outcomes included CVM, HFH, and all-cause mortality (ACM). Phenotype characteristics were analyzed in aggregate and outcomes were stratified by LVEF (< 45% = HFrEF vs. ≥ 45% = HFpEF).ResultsSix phenotypes were identified with distinct clinical profiles (Table)nonischemic CM in young patients without significant comorbidities (A), diabetic/insulin resistant CM (B), premature ischemic CM (C), older patients with CAD and multiple risk factors (D), older patients with AF and hypertension but little CAD (E), and hypertensive, non-ischemic, non-white subjects (F). Rates of all outcomes varied significantly with phenotype (p |
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fullrecord | <record><control><sourceid>wolterskluwer</sourceid><recordid>TN_cdi_wolterskluwer_health_00003017-201811061-01526</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>00003017-201811061-01526</sourcerecordid><originalsourceid>FETCH-wolterskluwer_health_00003017-201811061-015263</originalsourceid><addsrcrecordid>eNqdj11KxDAUhYMoWEf3cDcQSJr-OL4NZYYRlBEU5nGI8dZW06Qkt45diPs1A67Ap_MdDufhO2OZLPOCF6VanrNMCLHktcrzS3YV40eqlarLjP2sXiMFbQikkrW8g8YPo8Vv2KIOBBvd2ykgPHXoPM0jRnjUM-yMmQKsTPAxAnUIzyMaCtMAvoWHL2xh31MH98PoA2lHJ7K90dR7F6H1AdYJrX-fQbs3aGzv0mphN5HxA8ZrdtFqG_HmLxes2Kxfmi0_eksY4qedjhgOHWpL3SHJCCVkzXMhb6UUleQiuVfqn7df2IBgEQ</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Abstract 13171: Complex Heart Failure Phenotypes May Occur Across the Spectrum of Lvef With Important Implications for Etiology and Clinical Outcomes</title><source>American Heart Association Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Journals@Ovid Complete</source><creator>Butler, Maggie ; Roeder, Christophe ; Doran, Bethany ; Merrill, Miranda ; Jhund, Pardeep ; Kao, David ; Gorg, Carsten ; Stevens, Laura</creator><creatorcontrib>Butler, Maggie ; Roeder, Christophe ; Doran, Bethany ; Merrill, Miranda ; Jhund, Pardeep ; Kao, David ; Gorg, Carsten ; Stevens, Laura</creatorcontrib><description>BackgroundHeart failure (HF) is typically classified according to ejection fraction (EF). The underlying pathophysiology is a heterogeneous process that may be better characterized by clinical phenotypes.MethodsIndividual patient data from 2130 patients enrolled in HF-ACTION (LVEF ≤ 35%) and 1767 patients enrolled from the Americas in TOPCAT (LVEF ≥ 45%) were harmonized and aggregated. Cluster-based HF phenotypes were identified using latent class analysis based on 13 clinical characteristics (Table) but excluding LVEF. LVEF distribution within phenotypes was then quantified following phenotyping. The primary outcome was a composite of cardiovascular mortality (CVM) or HF hospitalization (HFH). Secondary outcomes included CVM, HFH, and all-cause mortality (ACM). Phenotype characteristics were analyzed in aggregate and outcomes were stratified by LVEF (< 45% = HFrEF vs. ≥ 45% = HFpEF).ResultsSix phenotypes were identified with distinct clinical profiles (Table)nonischemic CM in young patients without significant comorbidities (A), diabetic/insulin resistant CM (B), premature ischemic CM (C), older patients with CAD and multiple risk factors (D), older patients with AF and hypertension but little CAD (E), and hypertensive, non-ischemic, non-white subjects (F). Rates of all outcomes varied significantly with phenotype (p<0.001) across the EF spectrum. Within each phenotype, there were no significant differences in outcome among patients with HFrEF vs. HFpEF except for the primary outcome in phenotype D (40 vs. 30%, p=0.006), ACM in phenotype C (11 vs. 18%, p=0.036) and HFH in phenotype D (32 vs. 22%, p=0.004).ConclusionsHF phenotypes identified by cluster-type analysis can span the EF spectrum with variation in predominance of HFpEF and rEF depending on underlying pathophysiologic mechanisms. Variation in outcomes was driven largely by phenotype rather than LVEF.</description><identifier>ISSN: 0009-7322</identifier><identifier>EISSN: 1524-4539</identifier><language>eng</language><publisher>by the American College of Cardiology Foundation and the American Heart Association, Inc</publisher><ispartof>Circulation (New York, N.Y.), 2018-11, Vol.138 (Suppl_1 Suppl 1), p.A13171-A13171</ispartof><rights>2018 by the American College of Cardiology Foundation and the American Heart Association, Inc.</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785</link.rule.ids></links><search><creatorcontrib>Butler, Maggie</creatorcontrib><creatorcontrib>Roeder, Christophe</creatorcontrib><creatorcontrib>Doran, Bethany</creatorcontrib><creatorcontrib>Merrill, Miranda</creatorcontrib><creatorcontrib>Jhund, Pardeep</creatorcontrib><creatorcontrib>Kao, David</creatorcontrib><creatorcontrib>Gorg, Carsten</creatorcontrib><creatorcontrib>Stevens, Laura</creatorcontrib><title>Abstract 13171: Complex Heart Failure Phenotypes May Occur Across the Spectrum of Lvef With Important Implications for Etiology and Clinical Outcomes</title><title>Circulation (New York, N.Y.)</title><description>BackgroundHeart failure (HF) is typically classified according to ejection fraction (EF). The underlying pathophysiology is a heterogeneous process that may be better characterized by clinical phenotypes.MethodsIndividual patient data from 2130 patients enrolled in HF-ACTION (LVEF ≤ 35%) and 1767 patients enrolled from the Americas in TOPCAT (LVEF ≥ 45%) were harmonized and aggregated. Cluster-based HF phenotypes were identified using latent class analysis based on 13 clinical characteristics (Table) but excluding LVEF. LVEF distribution within phenotypes was then quantified following phenotyping. The primary outcome was a composite of cardiovascular mortality (CVM) or HF hospitalization (HFH). Secondary outcomes included CVM, HFH, and all-cause mortality (ACM). Phenotype characteristics were analyzed in aggregate and outcomes were stratified by LVEF (< 45% = HFrEF vs. ≥ 45% = HFpEF).ResultsSix phenotypes were identified with distinct clinical profiles (Table)nonischemic CM in young patients without significant comorbidities (A), diabetic/insulin resistant CM (B), premature ischemic CM (C), older patients with CAD and multiple risk factors (D), older patients with AF and hypertension but little CAD (E), and hypertensive, non-ischemic, non-white subjects (F). Rates of all outcomes varied significantly with phenotype (p<0.001) across the EF spectrum. Within each phenotype, there were no significant differences in outcome among patients with HFrEF vs. HFpEF except for the primary outcome in phenotype D (40 vs. 30%, p=0.006), ACM in phenotype C (11 vs. 18%, p=0.036) and HFH in phenotype D (32 vs. 22%, p=0.004).ConclusionsHF phenotypes identified by cluster-type analysis can span the EF spectrum with variation in predominance of HFpEF and rEF depending on underlying pathophysiologic mechanisms. Variation in outcomes was driven largely by phenotype rather than LVEF.</description><issn>0009-7322</issn><issn>1524-4539</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid/><recordid>eNqdj11KxDAUhYMoWEf3cDcQSJr-OL4NZYYRlBEU5nGI8dZW06Qkt45diPs1A67Ap_MdDufhO2OZLPOCF6VanrNMCLHktcrzS3YV40eqlarLjP2sXiMFbQikkrW8g8YPo8Vv2KIOBBvd2ykgPHXoPM0jRnjUM-yMmQKsTPAxAnUIzyMaCtMAvoWHL2xh31MH98PoA2lHJ7K90dR7F6H1AdYJrX-fQbs3aGzv0mphN5HxA8ZrdtFqG_HmLxes2Kxfmi0_eksY4qedjhgOHWpL3SHJCCVkzXMhb6UUleQiuVfqn7df2IBgEQ</recordid><startdate>20181106</startdate><enddate>20181106</enddate><creator>Butler, Maggie</creator><creator>Roeder, Christophe</creator><creator>Doran, Bethany</creator><creator>Merrill, Miranda</creator><creator>Jhund, Pardeep</creator><creator>Kao, David</creator><creator>Gorg, Carsten</creator><creator>Stevens, Laura</creator><general>by the American College of Cardiology Foundation and the American Heart Association, Inc</general><scope/></search><sort><creationdate>20181106</creationdate><title>Abstract 13171: Complex Heart Failure Phenotypes May Occur Across the Spectrum of Lvef With Important Implications for Etiology and Clinical Outcomes</title><author>Butler, Maggie ; Roeder, Christophe ; Doran, Bethany ; Merrill, Miranda ; Jhund, Pardeep ; Kao, David ; Gorg, Carsten ; Stevens, Laura</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-wolterskluwer_health_00003017-201811061-015263</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Butler, Maggie</creatorcontrib><creatorcontrib>Roeder, Christophe</creatorcontrib><creatorcontrib>Doran, Bethany</creatorcontrib><creatorcontrib>Merrill, Miranda</creatorcontrib><creatorcontrib>Jhund, Pardeep</creatorcontrib><creatorcontrib>Kao, David</creatorcontrib><creatorcontrib>Gorg, Carsten</creatorcontrib><creatorcontrib>Stevens, Laura</creatorcontrib><jtitle>Circulation (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Butler, Maggie</au><au>Roeder, Christophe</au><au>Doran, Bethany</au><au>Merrill, Miranda</au><au>Jhund, Pardeep</au><au>Kao, David</au><au>Gorg, Carsten</au><au>Stevens, Laura</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Abstract 13171: Complex Heart Failure Phenotypes May Occur Across the Spectrum of Lvef With Important Implications for Etiology and Clinical Outcomes</atitle><jtitle>Circulation (New York, N.Y.)</jtitle><date>2018-11-06</date><risdate>2018</risdate><volume>138</volume><issue>Suppl_1 Suppl 1</issue><spage>A13171</spage><epage>A13171</epage><pages>A13171-A13171</pages><issn>0009-7322</issn><eissn>1524-4539</eissn><abstract>BackgroundHeart failure (HF) is typically classified according to ejection fraction (EF). The underlying pathophysiology is a heterogeneous process that may be better characterized by clinical phenotypes.MethodsIndividual patient data from 2130 patients enrolled in HF-ACTION (LVEF ≤ 35%) and 1767 patients enrolled from the Americas in TOPCAT (LVEF ≥ 45%) were harmonized and aggregated. Cluster-based HF phenotypes were identified using latent class analysis based on 13 clinical characteristics (Table) but excluding LVEF. LVEF distribution within phenotypes was then quantified following phenotyping. The primary outcome was a composite of cardiovascular mortality (CVM) or HF hospitalization (HFH). Secondary outcomes included CVM, HFH, and all-cause mortality (ACM). Phenotype characteristics were analyzed in aggregate and outcomes were stratified by LVEF (< 45% = HFrEF vs. ≥ 45% = HFpEF).ResultsSix phenotypes were identified with distinct clinical profiles (Table)nonischemic CM in young patients without significant comorbidities (A), diabetic/insulin resistant CM (B), premature ischemic CM (C), older patients with CAD and multiple risk factors (D), older patients with AF and hypertension but little CAD (E), and hypertensive, non-ischemic, non-white subjects (F). Rates of all outcomes varied significantly with phenotype (p<0.001) across the EF spectrum. Within each phenotype, there were no significant differences in outcome among patients with HFrEF vs. HFpEF except for the primary outcome in phenotype D (40 vs. 30%, p=0.006), ACM in phenotype C (11 vs. 18%, p=0.036) and HFH in phenotype D (32 vs. 22%, p=0.004).ConclusionsHF phenotypes identified by cluster-type analysis can span the EF spectrum with variation in predominance of HFpEF and rEF depending on underlying pathophysiologic mechanisms. Variation in outcomes was driven largely by phenotype rather than LVEF.</abstract><pub>by the American College of Cardiology Foundation and the American Heart Association, Inc</pub></addata></record> |
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source | American Heart Association Journals; EZB-FREE-00999 freely available EZB journals; Journals@Ovid Complete |
title | Abstract 13171: Complex Heart Failure Phenotypes May Occur Across the Spectrum of Lvef With Important Implications for Etiology and Clinical Outcomes |
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