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Incremental value of biomarkers to clinical variables for mortality prediction in acutely decompensated heart failure: The Multinational Observational Cohort on Acute Heart Failure (MOCA) study

Abstract Aim This study aims to evaluate the incremental value of plasma biomarkers to traditional clinical variables for risk stratification of 30-day and one-year mortality in acutely decompensated heart failure (ADHF). Methods and results Through an international collaborative network, individual...

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Published in:International journal of cardiology 2013-10, Vol.168 (3), p.2186-2194
Main Authors: Lassus, Johan, Gayat, Etienne, Mueller, Christian, Peacock, W.Frank, Spinar, Jindrich, Harjola, Veli-Pekka, van Kimmenade, Roland, Pathak, Atul, Mueller, Thomas, diSomma, Salvatore, Metra, Marco, Pascual-Figal, Domingo, Laribi, Said, Logeart, Damien, Nouira, Semir, Sato, Naoki, Potocki, Michael, Parenica, Jiri, Collet, Corinne, Cohen-Solal, Alain, Januzzi, James L, Mebazaa, Alexandre
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cited_by cdi_FETCH-LOGICAL-c513t-148cdb239cb7dea61a58822d66fb19d3a5a7dfa89830a1f5fa418814b9c7a3193
cites cdi_FETCH-LOGICAL-c513t-148cdb239cb7dea61a58822d66fb19d3a5a7dfa89830a1f5fa418814b9c7a3193
container_end_page 2194
container_issue 3
container_start_page 2186
container_title International journal of cardiology
container_volume 168
creator Lassus, Johan
Gayat, Etienne
Mueller, Christian
Peacock, W.Frank
Spinar, Jindrich
Harjola, Veli-Pekka
van Kimmenade, Roland
Pathak, Atul
Mueller, Thomas
diSomma, Salvatore
Metra, Marco
Pascual-Figal, Domingo
Laribi, Said
Logeart, Damien
Nouira, Semir
Sato, Naoki
Potocki, Michael
Parenica, Jiri
Collet, Corinne
Cohen-Solal, Alain
Januzzi, James L
Mebazaa, Alexandre
description Abstract Aim This study aims to evaluate the incremental value of plasma biomarkers to traditional clinical variables for risk stratification of 30-day and one-year mortality in acutely decompensated heart failure (ADHF). Methods and results Through an international collaborative network, individual patient data on 5306 patients hospitalized for ADHF were collected. The all-cause mortality rate was 11.7% at 30 days and 32.9% at one year. The clinical prediction model (age, gender, blood pressure on admission, estimated glomerular filtration rate < 60 mL/min/1.73 m2 , sodium and hemoglobin levels, and heart rate) had a c-statistic of 0.74 for 30-day mortality and 0.73 for one-year mortality. Several biomarkers measured at presentation improved risk stratification when added to the clinical model. At 30 days, the net reclassification improvement (NRI) was 28.7% for mid-regional adrenomedullin (MR-proADM; p < 0.001) and 25.5% for soluble (s)ST2 (p < 0.001). At one year, sST2 (NRI 10.3%), MR-proADM (NRI 9.1%), amino-terminal pro-B-type natriuretic peptide (NT-proBNP; NRI 9.1%), mid-regional proatrial natriuretic peptide (MR-proANP; NRI 7.4%), B-type natriuretic peptide (NRI 5.5%) and C-reactive protein (CRP; NRI 5.3%) reclassified patients with ADHF (p < 0.05 for all). CRP also markedly improved risk stratification of patients with ADHF as a dual biomarker combination with MR-proADM (NRI 36.8% [p < 0.001] for death at 30 days) or with sST2 (NRI 20.3%; [p < 0.001] for one-year mortality). Conclusion In this study, biomarkers provided incremental value for risk stratification of ADHF patients. Biomarkers such as sST2, MR-proADM, natriuretic peptides and CRP, reflecting different pathophysiologic pathways, add prognostic value to clinical risk factors for predicting both short-term and one-year mortality in ADHF.
doi_str_mv 10.1016/j.ijcard.2013.01.228
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Methods and results Through an international collaborative network, individual patient data on 5306 patients hospitalized for ADHF were collected. The all-cause mortality rate was 11.7% at 30 days and 32.9% at one year. The clinical prediction model (age, gender, blood pressure on admission, estimated glomerular filtration rate < 60 mL/min/1.73 m2 , sodium and hemoglobin levels, and heart rate) had a c-statistic of 0.74 for 30-day mortality and 0.73 for one-year mortality. Several biomarkers measured at presentation improved risk stratification when added to the clinical model. At 30 days, the net reclassification improvement (NRI) was 28.7% for mid-regional adrenomedullin (MR-proADM; p < 0.001) and 25.5% for soluble (s)ST2 (p < 0.001). At one year, sST2 (NRI 10.3%), MR-proADM (NRI 9.1%), amino-terminal pro-B-type natriuretic peptide (NT-proBNP; NRI 9.1%), mid-regional proatrial natriuretic peptide (MR-proANP; NRI 7.4%), B-type natriuretic peptide (NRI 5.5%) and C-reactive protein (CRP; NRI 5.3%) reclassified patients with ADHF (p < 0.05 for all). CRP also markedly improved risk stratification of patients with ADHF as a dual biomarker combination with MR-proADM (NRI 36.8% [p < 0.001] for death at 30 days) or with sST2 (NRI 20.3%; [p < 0.001] for one-year mortality). Conclusion In this study, biomarkers provided incremental value for risk stratification of ADHF patients. Biomarkers such as sST2, MR-proADM, natriuretic peptides and CRP, reflecting different pathophysiologic pathways, add prognostic value to clinical risk factors for predicting both short-term and one-year mortality in ADHF.]]></description><identifier>ISSN: 0167-5273</identifier><identifier>EISSN: 1874-1754</identifier><identifier>DOI: 10.1016/j.ijcard.2013.01.228</identifier><identifier>PMID: 23538053</identifier><identifier>CODEN: IJCDD5</identifier><language>eng</language><publisher>Shannon: Elsevier Ireland Ltd</publisher><subject>Acute Disease ; ADHF ; Aged ; Aged, 80 and over ; Biological and medical sciences ; Biomarkers ; Biomarkers - blood ; Cardiology. Vascular system ; Cardiovascular ; Cause of Death - trends ; Female ; Follow-Up Studies ; Global Health ; Heart ; Heart Failure - blood ; Heart Failure - mortality ; Heart failure, cardiogenic pulmonary edema, cardiac enlargement ; Humans ; Male ; Medical sciences ; Mortality ; Predictive Value of Tests ; Reclassification ; Risk Assessment ; Risk Factors ; Risk prediction ; Survival Rate - trends</subject><ispartof>International journal of cardiology, 2013-10, Vol.168 (3), p.2186-2194</ispartof><rights>Elsevier Ireland Ltd</rights><rights>2013 Elsevier Ireland Ltd</rights><rights>2014 INIST-CNRS</rights><rights>Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c513t-148cdb239cb7dea61a58822d66fb19d3a5a7dfa89830a1f5fa418814b9c7a3193</citedby><cites>FETCH-LOGICAL-c513t-148cdb239cb7dea61a58822d66fb19d3a5a7dfa89830a1f5fa418814b9c7a3193</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&amp;idt=27889128$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23538053$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lassus, Johan</creatorcontrib><creatorcontrib>Gayat, Etienne</creatorcontrib><creatorcontrib>Mueller, Christian</creatorcontrib><creatorcontrib>Peacock, W.Frank</creatorcontrib><creatorcontrib>Spinar, Jindrich</creatorcontrib><creatorcontrib>Harjola, Veli-Pekka</creatorcontrib><creatorcontrib>van Kimmenade, Roland</creatorcontrib><creatorcontrib>Pathak, Atul</creatorcontrib><creatorcontrib>Mueller, Thomas</creatorcontrib><creatorcontrib>diSomma, Salvatore</creatorcontrib><creatorcontrib>Metra, Marco</creatorcontrib><creatorcontrib>Pascual-Figal, Domingo</creatorcontrib><creatorcontrib>Laribi, Said</creatorcontrib><creatorcontrib>Logeart, Damien</creatorcontrib><creatorcontrib>Nouira, Semir</creatorcontrib><creatorcontrib>Sato, Naoki</creatorcontrib><creatorcontrib>Potocki, Michael</creatorcontrib><creatorcontrib>Parenica, Jiri</creatorcontrib><creatorcontrib>Collet, Corinne</creatorcontrib><creatorcontrib>Cohen-Solal, Alain</creatorcontrib><creatorcontrib>Januzzi, James L</creatorcontrib><creatorcontrib>Mebazaa, Alexandre</creatorcontrib><creatorcontrib>for the GREAT-network</creatorcontrib><creatorcontrib>GREAT-Network</creatorcontrib><title>Incremental value of biomarkers to clinical variables for mortality prediction in acutely decompensated heart failure: The Multinational Observational Cohort on Acute Heart Failure (MOCA) study</title><title>International journal of cardiology</title><addtitle>Int J Cardiol</addtitle><description><![CDATA[Abstract Aim This study aims to evaluate the incremental value of plasma biomarkers to traditional clinical variables for risk stratification of 30-day and one-year mortality in acutely decompensated heart failure (ADHF). Methods and results Through an international collaborative network, individual patient data on 5306 patients hospitalized for ADHF were collected. The all-cause mortality rate was 11.7% at 30 days and 32.9% at one year. The clinical prediction model (age, gender, blood pressure on admission, estimated glomerular filtration rate < 60 mL/min/1.73 m2 , sodium and hemoglobin levels, and heart rate) had a c-statistic of 0.74 for 30-day mortality and 0.73 for one-year mortality. Several biomarkers measured at presentation improved risk stratification when added to the clinical model. At 30 days, the net reclassification improvement (NRI) was 28.7% for mid-regional adrenomedullin (MR-proADM; p < 0.001) and 25.5% for soluble (s)ST2 (p < 0.001). At one year, sST2 (NRI 10.3%), MR-proADM (NRI 9.1%), amino-terminal pro-B-type natriuretic peptide (NT-proBNP; NRI 9.1%), mid-regional proatrial natriuretic peptide (MR-proANP; NRI 7.4%), B-type natriuretic peptide (NRI 5.5%) and C-reactive protein (CRP; NRI 5.3%) reclassified patients with ADHF (p < 0.05 for all). CRP also markedly improved risk stratification of patients with ADHF as a dual biomarker combination with MR-proADM (NRI 36.8% [p < 0.001] for death at 30 days) or with sST2 (NRI 20.3%; [p < 0.001] for one-year mortality). Conclusion In this study, biomarkers provided incremental value for risk stratification of ADHF patients. Biomarkers such as sST2, MR-proADM, natriuretic peptides and CRP, reflecting different pathophysiologic pathways, add prognostic value to clinical risk factors for predicting both short-term and one-year mortality in ADHF.]]></description><subject>Acute Disease</subject><subject>ADHF</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biological and medical sciences</subject><subject>Biomarkers</subject><subject>Biomarkers - blood</subject><subject>Cardiology. Vascular system</subject><subject>Cardiovascular</subject><subject>Cause of Death - trends</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Global Health</subject><subject>Heart</subject><subject>Heart Failure - blood</subject><subject>Heart Failure - mortality</subject><subject>Heart failure, cardiogenic pulmonary edema, cardiac enlargement</subject><subject>Humans</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Mortality</subject><subject>Predictive Value of Tests</subject><subject>Reclassification</subject><subject>Risk Assessment</subject><subject>Risk Factors</subject><subject>Risk prediction</subject><subject>Survival Rate - trends</subject><issn>0167-5273</issn><issn>1874-1754</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqFks2O0zAUhS0EYkrhDRDyBmlYtNhx0jgskKqKYUaaURcMEjvrxr5R3UniYjuV-ni8GU5_QGLDyrJ8zrF9vkvIW87mnPHFx-3cbjV4M88YF3PG51kmn5EJl2U-42WRPyeTJCtnRVaKK_IqhC1jLK8q-ZJcZaIQkhViQn7d9dpjh32Elu6hHZC6htbWdeCf0AcaHdWt7a0-nnsLdYuBNs7TzvlksvFAdx6N1dG6ntqegh4itgdqULtuh32AiIZuEHykDdh28PiJPm6QPgxttD2MvhS-rgP6_WW3cpsUT1Picoyjt0f7zclOrx_Wq-UHGuJgDq_JiwbagG_O65R8v_nyuLqd3a-_3q2W9zNdcBFnPJfa1JmodF0ahAWHQsosM4tFU_PKCCigNA3ISgoGvCkayLmUPK8rXYLglZiS61PuzrufA4aoOhs0ti306IageJ4LUWWLVOuU5Cep9i4Ej43aeZsKPSjO1AhPbdUJnhrhKcZVgpds7843DHWH5o_pQisJ3p8FEBKPxkOvbfirK6Ws-DHo80mHqY-9Ra-CttjrRMmjjso4-7-X_BtwmYEnPGDYusEnSOnPKmSKqW_joI1zxgVjmZQ_xG-PHNLj</recordid><startdate>20131003</startdate><enddate>20131003</enddate><creator>Lassus, Johan</creator><creator>Gayat, Etienne</creator><creator>Mueller, Christian</creator><creator>Peacock, W.Frank</creator><creator>Spinar, Jindrich</creator><creator>Harjola, Veli-Pekka</creator><creator>van Kimmenade, Roland</creator><creator>Pathak, Atul</creator><creator>Mueller, Thomas</creator><creator>diSomma, Salvatore</creator><creator>Metra, Marco</creator><creator>Pascual-Figal, Domingo</creator><creator>Laribi, Said</creator><creator>Logeart, Damien</creator><creator>Nouira, Semir</creator><creator>Sato, Naoki</creator><creator>Potocki, Michael</creator><creator>Parenica, Jiri</creator><creator>Collet, Corinne</creator><creator>Cohen-Solal, Alain</creator><creator>Januzzi, James L</creator><creator>Mebazaa, Alexandre</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>20131003</creationdate><title>Incremental value of biomarkers to clinical variables for mortality prediction in acutely decompensated heart failure: The Multinational Observational Cohort on Acute Heart Failure (MOCA) study</title><author>Lassus, Johan ; Gayat, Etienne ; Mueller, Christian ; Peacock, W.Frank ; Spinar, Jindrich ; Harjola, Veli-Pekka ; van Kimmenade, Roland ; Pathak, Atul ; Mueller, Thomas ; diSomma, Salvatore ; Metra, Marco ; Pascual-Figal, Domingo ; Laribi, Said ; Logeart, Damien ; Nouira, Semir ; Sato, Naoki ; Potocki, Michael ; Parenica, Jiri ; Collet, Corinne ; Cohen-Solal, Alain ; Januzzi, James L ; Mebazaa, Alexandre</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c513t-148cdb239cb7dea61a58822d66fb19d3a5a7dfa89830a1f5fa418814b9c7a3193</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Acute Disease</topic><topic>ADHF</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biological and medical sciences</topic><topic>Biomarkers</topic><topic>Biomarkers - blood</topic><topic>Cardiology. Vascular system</topic><topic>Cardiovascular</topic><topic>Cause of Death - trends</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Global Health</topic><topic>Heart</topic><topic>Heart Failure - blood</topic><topic>Heart Failure - mortality</topic><topic>Heart failure, cardiogenic pulmonary edema, cardiac enlargement</topic><topic>Humans</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Mortality</topic><topic>Predictive Value of Tests</topic><topic>Reclassification</topic><topic>Risk Assessment</topic><topic>Risk Factors</topic><topic>Risk prediction</topic><topic>Survival Rate - trends</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lassus, Johan</creatorcontrib><creatorcontrib>Gayat, Etienne</creatorcontrib><creatorcontrib>Mueller, Christian</creatorcontrib><creatorcontrib>Peacock, W.Frank</creatorcontrib><creatorcontrib>Spinar, Jindrich</creatorcontrib><creatorcontrib>Harjola, Veli-Pekka</creatorcontrib><creatorcontrib>van Kimmenade, Roland</creatorcontrib><creatorcontrib>Pathak, Atul</creatorcontrib><creatorcontrib>Mueller, Thomas</creatorcontrib><creatorcontrib>diSomma, Salvatore</creatorcontrib><creatorcontrib>Metra, Marco</creatorcontrib><creatorcontrib>Pascual-Figal, Domingo</creatorcontrib><creatorcontrib>Laribi, Said</creatorcontrib><creatorcontrib>Logeart, Damien</creatorcontrib><creatorcontrib>Nouira, Semir</creatorcontrib><creatorcontrib>Sato, Naoki</creatorcontrib><creatorcontrib>Potocki, Michael</creatorcontrib><creatorcontrib>Parenica, Jiri</creatorcontrib><creatorcontrib>Collet, Corinne</creatorcontrib><creatorcontrib>Cohen-Solal, Alain</creatorcontrib><creatorcontrib>Januzzi, James L</creatorcontrib><creatorcontrib>Mebazaa, Alexandre</creatorcontrib><creatorcontrib>for the GREAT-network</creatorcontrib><creatorcontrib>GREAT-Network</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>Lassus, Johan</au><au>Gayat, Etienne</au><au>Mueller, Christian</au><au>Peacock, W.Frank</au><au>Spinar, Jindrich</au><au>Harjola, Veli-Pekka</au><au>van Kimmenade, Roland</au><au>Pathak, Atul</au><au>Mueller, Thomas</au><au>diSomma, Salvatore</au><au>Metra, Marco</au><au>Pascual-Figal, Domingo</au><au>Laribi, Said</au><au>Logeart, Damien</au><au>Nouira, Semir</au><au>Sato, Naoki</au><au>Potocki, Michael</au><au>Parenica, Jiri</au><au>Collet, Corinne</au><au>Cohen-Solal, Alain</au><au>Januzzi, James L</au><au>Mebazaa, Alexandre</au><aucorp>for the GREAT-network</aucorp><aucorp>GREAT-Network</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Incremental value of biomarkers to clinical variables for mortality prediction in acutely decompensated heart failure: The Multinational Observational Cohort on Acute Heart Failure (MOCA) study</atitle><jtitle>International journal of cardiology</jtitle><addtitle>Int J Cardiol</addtitle><date>2013-10-03</date><risdate>2013</risdate><volume>168</volume><issue>3</issue><spage>2186</spage><epage>2194</epage><pages>2186-2194</pages><issn>0167-5273</issn><eissn>1874-1754</eissn><coden>IJCDD5</coden><abstract><![CDATA[Abstract Aim This study aims to evaluate the incremental value of plasma biomarkers to traditional clinical variables for risk stratification of 30-day and one-year mortality in acutely decompensated heart failure (ADHF). Methods and results Through an international collaborative network, individual patient data on 5306 patients hospitalized for ADHF were collected. The all-cause mortality rate was 11.7% at 30 days and 32.9% at one year. The clinical prediction model (age, gender, blood pressure on admission, estimated glomerular filtration rate < 60 mL/min/1.73 m2 , sodium and hemoglobin levels, and heart rate) had a c-statistic of 0.74 for 30-day mortality and 0.73 for one-year mortality. Several biomarkers measured at presentation improved risk stratification when added to the clinical model. At 30 days, the net reclassification improvement (NRI) was 28.7% for mid-regional adrenomedullin (MR-proADM; p < 0.001) and 25.5% for soluble (s)ST2 (p < 0.001). At one year, sST2 (NRI 10.3%), MR-proADM (NRI 9.1%), amino-terminal pro-B-type natriuretic peptide (NT-proBNP; NRI 9.1%), mid-regional proatrial natriuretic peptide (MR-proANP; NRI 7.4%), B-type natriuretic peptide (NRI 5.5%) and C-reactive protein (CRP; NRI 5.3%) reclassified patients with ADHF (p < 0.05 for all). CRP also markedly improved risk stratification of patients with ADHF as a dual biomarker combination with MR-proADM (NRI 36.8% [p < 0.001] for death at 30 days) or with sST2 (NRI 20.3%; [p < 0.001] for one-year mortality). Conclusion In this study, biomarkers provided incremental value for risk stratification of ADHF patients. Biomarkers such as sST2, MR-proADM, natriuretic peptides and CRP, reflecting different pathophysiologic pathways, add prognostic value to clinical risk factors for predicting both short-term and one-year mortality in ADHF.]]></abstract><cop>Shannon</cop><pub>Elsevier Ireland Ltd</pub><pmid>23538053</pmid><doi>10.1016/j.ijcard.2013.01.228</doi><tpages>9</tpages></addata></record>
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identifier ISSN: 0167-5273
ispartof International journal of cardiology, 2013-10, Vol.168 (3), p.2186-2194
issn 0167-5273
1874-1754
language eng
recordid cdi_proquest_miscellaneous_1443392605
source ScienceDirect Journals
subjects Acute Disease
ADHF
Aged
Aged, 80 and over
Biological and medical sciences
Biomarkers
Biomarkers - blood
Cardiology. Vascular system
Cardiovascular
Cause of Death - trends
Female
Follow-Up Studies
Global Health
Heart
Heart Failure - blood
Heart Failure - mortality
Heart failure, cardiogenic pulmonary edema, cardiac enlargement
Humans
Male
Medical sciences
Mortality
Predictive Value of Tests
Reclassification
Risk Assessment
Risk Factors
Risk prediction
Survival Rate - trends
title Incremental value of biomarkers to clinical variables for mortality prediction in acutely decompensated heart failure: The Multinational Observational Cohort on Acute Heart Failure (MOCA) study
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