Predictive value of serum galectin-3 levels in patients with acute heart failure with preserved ejection fraction

Abstract Aims This study was conducted to determine whether galectin-3 (Gal3), a β-galactoside-binding lectin, has usefulness to predict outcomes in patients with heart failure (HF) and preserved left ventricular ejection fraction (LVEF). Methods and results We measured Gal3, urea, creatinine and na...

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Veröffentlicht in:International journal of cardiology 2013-11, Vol.169 (3), p.177-182
Hauptverfasser: Carrasco-Sánchez, Francisco Javier, Aramburu-Bodas, Oscar, Salamanca-Bautista, Prado, Morales-Rull, José Luis, Galisteo-Almeda, Luis, Páez-Rubio, María Inmaculada, Arias-Jiménez, José Luis, Aguayo-Canela, Mariano, Pérez-Calvo, Juan Ignacio
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container_end_page 182
container_issue 3
container_start_page 177
container_title International journal of cardiology
container_volume 169
creator Carrasco-Sánchez, Francisco Javier
Aramburu-Bodas, Oscar
Salamanca-Bautista, Prado
Morales-Rull, José Luis
Galisteo-Almeda, Luis
Páez-Rubio, María Inmaculada
Arias-Jiménez, José Luis
Aguayo-Canela, Mariano
Pérez-Calvo, Juan Ignacio
description Abstract Aims This study was conducted to determine whether galectin-3 (Gal3), a β-galactoside-binding lectin, has usefulness to predict outcomes in patients with heart failure (HF) and preserved left ventricular ejection fraction (LVEF). Methods and results We measured Gal3, urea, creatinine and natriuretic peptides on admission in 419 selected patients with HF and LVEF over 45%. The primary endpoint was all-cause mortality and/or readmission at one-year follow-up. Multivariable Cox proportional hazards models were generated for Gal3 and classical risk factors. We also evaluated the reclassification of patients on the basis of the different score category after adding Gal3 levels. A total of 219 patients had combined adverse events, and 129 patients died during the follow-up. Kaplan–Meir survival curve showed significantly increased primary endpoint and all-cause mortality according to quartiles of Gal3 (log rank, P < 0.001). Serum Gal3 levels above median ( 13.8 ng/ml ) was a significant predictor of primary endpoint risk after adjustment for age, estimated glomerular filtration rate, anemia, diabetes, serum sodium, brain natriuretic peptide levels, NYHA class and urea, respectively (hazard ratio 1.43, 95% CI 1.07–1.91 P = 0.015). The reclassification index increased significantly after addition of Gal3 (9.5%, P < 0.001) and the integrated discrimination index was 0.022, ( P = 0.001). The clinical prediction model with Gal3 increased the c-statistic from 0.711 to 0.731 (difference of 0.020, P = 0.001). Conclusions Serum Gal3 is a strong and independent predictor of unfavorable outcomes in patients with HF and preserved LVEF. We also demonstrated the improvement of adding the new biomarker to the model.
doi_str_mv 10.1016/j.ijcard.2013.08.081
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Methods and results We measured Gal3, urea, creatinine and natriuretic peptides on admission in 419 selected patients with HF and LVEF over 45%. The primary endpoint was all-cause mortality and/or readmission at one-year follow-up. Multivariable Cox proportional hazards models were generated for Gal3 and classical risk factors. We also evaluated the reclassification of patients on the basis of the different score category after adding Gal3 levels. A total of 219 patients had combined adverse events, and 129 patients died during the follow-up. Kaplan–Meir survival curve showed significantly increased primary endpoint and all-cause mortality according to quartiles of Gal3 (log rank, P &lt; 0.001). Serum Gal3 levels above median ( 13.8 ng/ml ) was a significant predictor of primary endpoint risk after adjustment for age, estimated glomerular filtration rate, anemia, diabetes, serum sodium, brain natriuretic peptide levels, NYHA class and urea, respectively (hazard ratio 1.43, 95% CI 1.07–1.91 P = 0.015). The reclassification index increased significantly after addition of Gal3 (9.5%, P &lt; 0.001) and the integrated discrimination index was 0.022, ( P = 0.001). The clinical prediction model with Gal3 increased the c-statistic from 0.711 to 0.731 (difference of 0.020, P = 0.001). Conclusions Serum Gal3 is a strong and independent predictor of unfavorable outcomes in patients with HF and preserved LVEF. We also demonstrated the improvement of adding the new biomarker to the model.</description><identifier>ISSN: 0167-5273</identifier><identifier>EISSN: 1874-1754</identifier><identifier>DOI: 10.1016/j.ijcard.2013.08.081</identifier><identifier>PMID: 24207066</identifier><identifier>CODEN: IJCDD5</identifier><language>eng</language><publisher>Shannon: Elsevier Ireland Ltd</publisher><subject>Acute Disease ; Aged ; Aged, 80 and over ; Biological and medical sciences ; Biomarkers - blood ; Cardiology. Vascular system ; Cardiovascular ; Cardiovascular system ; Female ; Follow-Up Studies ; Galectin 3 - blood ; Galectin-3 ; Heart ; Heart failure ; Heart Failure - blood ; Heart Failure - diagnosis ; Heart Failure - mortality ; Heart failure, cardiogenic pulmonary edema, cardiac enlargement ; Humans ; Investigative techniques of hemodynamics ; Investigative techniques, diagnostic techniques (general aspects) ; Kaplan-Meier Estimate ; Male ; Medical sciences ; Preserved ejection fraction ; Prognosis ; Prospective Studies ; Reclassification ; Stroke Volume - physiology</subject><ispartof>International journal of cardiology, 2013-11, Vol.169 (3), p.177-182</ispartof><rights>Elsevier Ireland Ltd</rights><rights>2013 Elsevier Ireland Ltd</rights><rights>2015 INIST-CNRS</rights><rights>2013.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c447t-458e43b38c7548e4d8cf91e52e8359dab58d3f65a89ec362c8f65a1f7ecba2733</citedby><cites>FETCH-LOGICAL-c447t-458e43b38c7548e4d8cf91e52e8359dab58d3f65a89ec362c8f65a1f7ecba2733</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ijcard.2013.08.081$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>315,781,785,3551,27929,27930,46000</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=27960123$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24207066$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Carrasco-Sánchez, Francisco Javier</creatorcontrib><creatorcontrib>Aramburu-Bodas, Oscar</creatorcontrib><creatorcontrib>Salamanca-Bautista, Prado</creatorcontrib><creatorcontrib>Morales-Rull, José Luis</creatorcontrib><creatorcontrib>Galisteo-Almeda, Luis</creatorcontrib><creatorcontrib>Páez-Rubio, María Inmaculada</creatorcontrib><creatorcontrib>Arias-Jiménez, José Luis</creatorcontrib><creatorcontrib>Aguayo-Canela, Mariano</creatorcontrib><creatorcontrib>Pérez-Calvo, Juan Ignacio</creatorcontrib><title>Predictive value of serum galectin-3 levels in patients with acute heart failure with preserved ejection fraction</title><title>International journal of cardiology</title><addtitle>Int J Cardiol</addtitle><description>Abstract Aims This study was conducted to determine whether galectin-3 (Gal3), a β-galactoside-binding lectin, has usefulness to predict outcomes in patients with heart failure (HF) and preserved left ventricular ejection fraction (LVEF). Methods and results We measured Gal3, urea, creatinine and natriuretic peptides on admission in 419 selected patients with HF and LVEF over 45%. The primary endpoint was all-cause mortality and/or readmission at one-year follow-up. Multivariable Cox proportional hazards models were generated for Gal3 and classical risk factors. We also evaluated the reclassification of patients on the basis of the different score category after adding Gal3 levels. A total of 219 patients had combined adverse events, and 129 patients died during the follow-up. Kaplan–Meir survival curve showed significantly increased primary endpoint and all-cause mortality according to quartiles of Gal3 (log rank, P &lt; 0.001). Serum Gal3 levels above median ( 13.8 ng/ml ) was a significant predictor of primary endpoint risk after adjustment for age, estimated glomerular filtration rate, anemia, diabetes, serum sodium, brain natriuretic peptide levels, NYHA class and urea, respectively (hazard ratio 1.43, 95% CI 1.07–1.91 P = 0.015). The reclassification index increased significantly after addition of Gal3 (9.5%, P &lt; 0.001) and the integrated discrimination index was 0.022, ( P = 0.001). The clinical prediction model with Gal3 increased the c-statistic from 0.711 to 0.731 (difference of 0.020, P = 0.001). Conclusions Serum Gal3 is a strong and independent predictor of unfavorable outcomes in patients with HF and preserved LVEF. We also demonstrated the improvement of adding the new biomarker to the model.</description><subject>Acute Disease</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biological and medical sciences</subject><subject>Biomarkers - blood</subject><subject>Cardiology. Vascular system</subject><subject>Cardiovascular</subject><subject>Cardiovascular system</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Galectin 3 - blood</subject><subject>Galectin-3</subject><subject>Heart</subject><subject>Heart failure</subject><subject>Heart Failure - blood</subject><subject>Heart Failure - diagnosis</subject><subject>Heart Failure - mortality</subject><subject>Heart failure, cardiogenic pulmonary edema, cardiac enlargement</subject><subject>Humans</subject><subject>Investigative techniques of hemodynamics</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Kaplan-Meier Estimate</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Preserved ejection fraction</subject><subject>Prognosis</subject><subject>Prospective Studies</subject><subject>Reclassification</subject><subject>Stroke Volume - physiology</subject><issn>0167-5273</issn><issn>1874-1754</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkt-L1DAQx4Mo3nr6H4jkRfCla6ZJm_RFkMNfcKCgPodsOvVSs-1e0lbuv3dqVwVfhIFMmO_MZD4Zxp6C2IOA-mW_D713qd2XAuReGDK4x3ZgtCpAV-o-25FMF1Wp5QV7lHMvhFBNYx6yi1KVQou63rHbTwnb4KewIF9cnJGPHc-Y5iP_5iJSYCgkj7hgzDwM_OSmgMOU-Y8w3XDn5wn5Dbo08c6FOCfcAqeEVGTBlmO_FhkH3iX3y3nMHnQuZnxyPi_Z17dvvly9L64_vvtw9fq68ErpqVCVQSUP0niahdzW-K4BrEo0smpad6hMK7u6cqZBL-vSm_UCnUZ_cDSyvGQvtrqnNN7OmCd7DNljjG7Acc4WVCVANw2UJFWb1Kcx54SdPaVwdOnOgrArbNvbDbZdYVthyIDSnp07zIcjtn-SftMlwfOzwGXvIhEYfMh_dbqpBbUn3atNR5BxCZhs9kTZ088komfbMfzvJf8W8DEMgXp-xzvM_TingVhbsLm0wn5eF2PdC5Dk1QrkT5kLtV0</recordid><startdate>20131105</startdate><enddate>20131105</enddate><creator>Carrasco-Sánchez, Francisco Javier</creator><creator>Aramburu-Bodas, Oscar</creator><creator>Salamanca-Bautista, Prado</creator><creator>Morales-Rull, José Luis</creator><creator>Galisteo-Almeda, Luis</creator><creator>Páez-Rubio, María Inmaculada</creator><creator>Arias-Jiménez, José Luis</creator><creator>Aguayo-Canela, Mariano</creator><creator>Pérez-Calvo, Juan Ignacio</creator><general>Elsevier Ireland Ltd</general><general>Elsevier</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>7X8</scope></search><sort><creationdate>20131105</creationdate><title>Predictive value of serum galectin-3 levels in patients with acute heart failure with preserved ejection fraction</title><author>Carrasco-Sánchez, Francisco Javier ; Aramburu-Bodas, Oscar ; Salamanca-Bautista, Prado ; Morales-Rull, José Luis ; Galisteo-Almeda, Luis ; Páez-Rubio, María Inmaculada ; Arias-Jiménez, José Luis ; Aguayo-Canela, Mariano ; Pérez-Calvo, Juan Ignacio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c447t-458e43b38c7548e4d8cf91e52e8359dab58d3f65a89ec362c8f65a1f7ecba2733</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Acute Disease</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biological and medical sciences</topic><topic>Biomarkers - blood</topic><topic>Cardiology. Vascular system</topic><topic>Cardiovascular</topic><topic>Cardiovascular system</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Galectin 3 - blood</topic><topic>Galectin-3</topic><topic>Heart</topic><topic>Heart failure</topic><topic>Heart Failure - blood</topic><topic>Heart Failure - diagnosis</topic><topic>Heart Failure - mortality</topic><topic>Heart failure, cardiogenic pulmonary edema, cardiac enlargement</topic><topic>Humans</topic><topic>Investigative techniques of hemodynamics</topic><topic>Investigative techniques, diagnostic techniques (general aspects)</topic><topic>Kaplan-Meier Estimate</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Preserved ejection fraction</topic><topic>Prognosis</topic><topic>Prospective Studies</topic><topic>Reclassification</topic><topic>Stroke Volume - physiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Carrasco-Sánchez, Francisco Javier</creatorcontrib><creatorcontrib>Aramburu-Bodas, Oscar</creatorcontrib><creatorcontrib>Salamanca-Bautista, Prado</creatorcontrib><creatorcontrib>Morales-Rull, José Luis</creatorcontrib><creatorcontrib>Galisteo-Almeda, Luis</creatorcontrib><creatorcontrib>Páez-Rubio, María Inmaculada</creatorcontrib><creatorcontrib>Arias-Jiménez, José Luis</creatorcontrib><creatorcontrib>Aguayo-Canela, Mariano</creatorcontrib><creatorcontrib>Pérez-Calvo, Juan Ignacio</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>MEDLINE - Academic</collection><jtitle>International journal of cardiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Carrasco-Sánchez, Francisco Javier</au><au>Aramburu-Bodas, Oscar</au><au>Salamanca-Bautista, Prado</au><au>Morales-Rull, José Luis</au><au>Galisteo-Almeda, Luis</au><au>Páez-Rubio, María Inmaculada</au><au>Arias-Jiménez, José Luis</au><au>Aguayo-Canela, Mariano</au><au>Pérez-Calvo, Juan Ignacio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictive value of serum galectin-3 levels in patients with acute heart failure with preserved ejection fraction</atitle><jtitle>International journal of cardiology</jtitle><addtitle>Int J Cardiol</addtitle><date>2013-11-05</date><risdate>2013</risdate><volume>169</volume><issue>3</issue><spage>177</spage><epage>182</epage><pages>177-182</pages><issn>0167-5273</issn><eissn>1874-1754</eissn><coden>IJCDD5</coden><abstract>Abstract Aims This study was conducted to determine whether galectin-3 (Gal3), a β-galactoside-binding lectin, has usefulness to predict outcomes in patients with heart failure (HF) and preserved left ventricular ejection fraction (LVEF). Methods and results We measured Gal3, urea, creatinine and natriuretic peptides on admission in 419 selected patients with HF and LVEF over 45%. The primary endpoint was all-cause mortality and/or readmission at one-year follow-up. Multivariable Cox proportional hazards models were generated for Gal3 and classical risk factors. We also evaluated the reclassification of patients on the basis of the different score category after adding Gal3 levels. A total of 219 patients had combined adverse events, and 129 patients died during the follow-up. Kaplan–Meir survival curve showed significantly increased primary endpoint and all-cause mortality according to quartiles of Gal3 (log rank, P &lt; 0.001). Serum Gal3 levels above median ( 13.8 ng/ml ) was a significant predictor of primary endpoint risk after adjustment for age, estimated glomerular filtration rate, anemia, diabetes, serum sodium, brain natriuretic peptide levels, NYHA class and urea, respectively (hazard ratio 1.43, 95% CI 1.07–1.91 P = 0.015). The reclassification index increased significantly after addition of Gal3 (9.5%, P &lt; 0.001) and the integrated discrimination index was 0.022, ( P = 0.001). The clinical prediction model with Gal3 increased the c-statistic from 0.711 to 0.731 (difference of 0.020, P = 0.001). Conclusions Serum Gal3 is a strong and independent predictor of unfavorable outcomes in patients with HF and preserved LVEF. We also demonstrated the improvement of adding the new biomarker to the model.</abstract><cop>Shannon</cop><pub>Elsevier Ireland Ltd</pub><pmid>24207066</pmid><doi>10.1016/j.ijcard.2013.08.081</doi><tpages>6</tpages></addata></record>
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subjects Acute Disease
Aged
Aged, 80 and over
Biological and medical sciences
Biomarkers - blood
Cardiology. Vascular system
Cardiovascular
Cardiovascular system
Female
Follow-Up Studies
Galectin 3 - blood
Galectin-3
Heart
Heart failure
Heart Failure - blood
Heart Failure - diagnosis
Heart Failure - mortality
Heart failure, cardiogenic pulmonary edema, cardiac enlargement
Humans
Investigative techniques of hemodynamics
Investigative techniques, diagnostic techniques (general aspects)
Kaplan-Meier Estimate
Male
Medical sciences
Preserved ejection fraction
Prognosis
Prospective Studies
Reclassification
Stroke Volume - physiology
title Predictive value of serum galectin-3 levels in patients with acute heart failure with preserved ejection fraction
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