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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 |
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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&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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ispartof | International journal of cardiology, 2013-10, Vol.168 (3), p.2186-2194 |
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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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