Red cell distribution width in heart failure: Prediction of clinical events and relationship with markers of ineffective erythropoiesis, inflammation, renal function, and nutritional state
Objectives The goal of this study was to independently validate the recent observations on the predictive role of red cell distribution width (RDW) for outcomes in chronic heart failure and to provide epidemiologic data on the biological correlates of RDW in heart failure (HF). Understanding the mec...
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creator | Förhécz, Zsolt, MD Gombos, Tímea, MD Borgulya, Gábor, MD, MSc Pozsonyi, Zoltán, MD Prohászka, Zoltán, MD, DSc Jánoskuti, Lívia, MD, PhD |
description | Objectives The goal of this study was to independently validate the recent observations on the predictive role of red cell distribution width (RDW) for outcomes in chronic heart failure and to provide epidemiologic data on the biological correlates of RDW in heart failure (HF). Understanding the mechanism underlying this observation is unclear, largely hampered by the lack of epidemiologic studies demonstrating factors that are associated with anisocytosis in cardiovascular diseases. Methods One hundred ninety-five patients (145 men, 50 women) with systolic HF were enrolled and followed up for a median of 14.5 months. Primary end points were all-cause mortality and hospital readmission due to worsening HF symptoms. A total of 19 clinical chemistry, hematology, and biochemical variables were considered for analysis together with clinical parameters in Cox proportional hazards and multiple regression models. Results Red cell distribution width was found to be an N-terminal pro–brain natriuretic peptide independent predictor of all-cause mortality (adjusted HR 1.61 per 1 SD increase) in our study. Multiple correlations between biomarkers of ineffective erythropoiesis (serum iron, ferritin, and soluble transferrin receptor levels), inflammation and acute-phase reaction (interleukin-6, soluble tumor necrosis factor (TNF) receptor I and soluble TNF receptor II, C-reactive protein, and prealbumin concentrations), undernutrition (total cholesterol and albumin levels), and renal function were observed. In the multiple regression model, the strongest relationship for RDW was obtained with soluble transferrin receptor, soluble TNF receptor I, soluble TNF receptor II, and total cholesterol. Conclusions Here we validate the strong, independent prediction of morbidity and mortality in HF by RDW. The described correlations between RDW and inflammation, ineffective erythropoiesis, undernutrition, and impaired renal function may facilitate the understanding why this marker is associated with adverse outcomes in HF. |
doi_str_mv | 10.1016/j.ahj.2009.07.024 |
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Understanding the mechanism underlying this observation is unclear, largely hampered by the lack of epidemiologic studies demonstrating factors that are associated with anisocytosis in cardiovascular diseases. Methods One hundred ninety-five patients (145 men, 50 women) with systolic HF were enrolled and followed up for a median of 14.5 months. Primary end points were all-cause mortality and hospital readmission due to worsening HF symptoms. A total of 19 clinical chemistry, hematology, and biochemical variables were considered for analysis together with clinical parameters in Cox proportional hazards and multiple regression models. Results Red cell distribution width was found to be an N-terminal pro–brain natriuretic peptide independent predictor of all-cause mortality (adjusted HR 1.61 per 1 SD increase) in our study. Multiple correlations between biomarkers of ineffective erythropoiesis (serum iron, ferritin, and soluble transferrin receptor levels), inflammation and acute-phase reaction (interleukin-6, soluble tumor necrosis factor (TNF) receptor I and soluble TNF receptor II, C-reactive protein, and prealbumin concentrations), undernutrition (total cholesterol and albumin levels), and renal function were observed. In the multiple regression model, the strongest relationship for RDW was obtained with soluble transferrin receptor, soluble TNF receptor I, soluble TNF receptor II, and total cholesterol. Conclusions Here we validate the strong, independent prediction of morbidity and mortality in HF by RDW. The described correlations between RDW and inflammation, ineffective erythropoiesis, undernutrition, and impaired renal function may facilitate the understanding why this marker is associated with adverse outcomes in HF.</description><identifier>ISSN: 0002-8703</identifier><identifier>EISSN: 1097-6744</identifier><identifier>DOI: 10.1016/j.ahj.2009.07.024</identifier><identifier>PMID: 19781428</identifier><identifier>CODEN: AHJOA2</identifier><language>eng</language><publisher>New York, NY: Mosby, Inc</publisher><subject>Aged ; Anemia ; Biological and medical sciences ; Biomarkers - blood ; C-Reactive Protein - metabolism ; Cardiology. Vascular system ; Cardiovascular ; Erythrocyte Count ; Erythropoiesis - physiology ; Female ; Follow-Up Studies ; Glomerular Filtration Rate - physiology ; Heart ; Heart attacks ; Heart Failure - blood ; Heart Failure - mortality ; Heart Failure - physiopathology ; Heart failure, cardiogenic pulmonary edema, cardiac enlargement ; Humans ; Hungary - epidemiology ; Inflammation - blood ; Iron ; Male ; Medical sciences ; Middle Aged ; Mortality ; Nutritional Status ; Patient Readmission - statistics & numerical data ; Prognosis ; Proportional Hazards Models ; Survival Rate - trends ; Time Factors</subject><ispartof>The American heart journal, 2009-10, Vol.158 (4), p.659-666</ispartof><rights>Mosby, Inc.</rights><rights>2009 Mosby, Inc.</rights><rights>2009 INIST-CNRS</rights><rights>Copyright Elsevier Limited Oct 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c464t-16bd59064e9da0179cc6b848680a7efc30e0c12f7eacdc8cb6615194979930b93</citedby><cites>FETCH-LOGICAL-c464t-16bd59064e9da0179cc6b848680a7efc30e0c12f7eacdc8cb6615194979930b93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0002870309005511$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65534</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22014708$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19781428$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Förhécz, Zsolt, MD</creatorcontrib><creatorcontrib>Gombos, Tímea, MD</creatorcontrib><creatorcontrib>Borgulya, Gábor, MD, MSc</creatorcontrib><creatorcontrib>Pozsonyi, Zoltán, MD</creatorcontrib><creatorcontrib>Prohászka, Zoltán, MD, DSc</creatorcontrib><creatorcontrib>Jánoskuti, Lívia, MD, PhD</creatorcontrib><title>Red cell distribution width in heart failure: Prediction of clinical events and relationship with markers of ineffective erythropoiesis, inflammation, renal function, and nutritional state</title><title>The American heart journal</title><addtitle>Am Heart J</addtitle><description>Objectives The goal of this study was to independently validate the recent observations on the predictive role of red cell distribution width (RDW) for outcomes in chronic heart failure and to provide epidemiologic data on the biological correlates of RDW in heart failure (HF). Understanding the mechanism underlying this observation is unclear, largely hampered by the lack of epidemiologic studies demonstrating factors that are associated with anisocytosis in cardiovascular diseases. Methods One hundred ninety-five patients (145 men, 50 women) with systolic HF were enrolled and followed up for a median of 14.5 months. Primary end points were all-cause mortality and hospital readmission due to worsening HF symptoms. A total of 19 clinical chemistry, hematology, and biochemical variables were considered for analysis together with clinical parameters in Cox proportional hazards and multiple regression models. Results Red cell distribution width was found to be an N-terminal pro–brain natriuretic peptide independent predictor of all-cause mortality (adjusted HR 1.61 per 1 SD increase) in our study. Multiple correlations between biomarkers of ineffective erythropoiesis (serum iron, ferritin, and soluble transferrin receptor levels), inflammation and acute-phase reaction (interleukin-6, soluble tumor necrosis factor (TNF) receptor I and soluble TNF receptor II, C-reactive protein, and prealbumin concentrations), undernutrition (total cholesterol and albumin levels), and renal function were observed. In the multiple regression model, the strongest relationship for RDW was obtained with soluble transferrin receptor, soluble TNF receptor I, soluble TNF receptor II, and total cholesterol. Conclusions Here we validate the strong, independent prediction of morbidity and mortality in HF by RDW. The described correlations between RDW and inflammation, ineffective erythropoiesis, undernutrition, and impaired renal function may facilitate the understanding why this marker is associated with adverse outcomes in HF.</description><subject>Aged</subject><subject>Anemia</subject><subject>Biological and medical sciences</subject><subject>Biomarkers - blood</subject><subject>C-Reactive Protein - metabolism</subject><subject>Cardiology. Vascular system</subject><subject>Cardiovascular</subject><subject>Erythrocyte Count</subject><subject>Erythropoiesis - physiology</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Glomerular Filtration Rate - physiology</subject><subject>Heart</subject><subject>Heart attacks</subject><subject>Heart Failure - blood</subject><subject>Heart Failure - mortality</subject><subject>Heart Failure - physiopathology</subject><subject>Heart failure, cardiogenic pulmonary edema, cardiac enlargement</subject><subject>Humans</subject><subject>Hungary - epidemiology</subject><subject>Inflammation - blood</subject><subject>Iron</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Nutritional Status</subject><subject>Patient Readmission - statistics & numerical data</subject><subject>Prognosis</subject><subject>Proportional Hazards Models</subject><subject>Survival Rate - trends</subject><subject>Time Factors</subject><issn>0002-8703</issn><issn>1097-6744</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kt2KFDEQhRtR3HH1AbyRgOjV9ljpTicdBWFZ_IMFxZ_rkE5XmMz2pGeT7lnm3Xw4k53Rhb3wKhT1nUOlThXFcwpLCpS_WS_1ar2sAOQSxBIq9qBYUJCi5IKxh8UCAKqyFVCfFE9iXKeSVy1_XJxQKVrKqnZR_P6OPTE4DKR3cQqumyc3enLj-mlFnCcr1GEiVrthDviWfAvYO3OLjJaYwXln9EBwh36KRPueBBx07seV2yab5LLR4QpDzALn0VpM-h0SDPtpFcbt6DC6eJZ6dtCbza34LNn45Gtnbw51tvZzGjCXqRMnPeHT4pHVQ8Rnx_e0-PXxw8-Lz-Xl109fLs4vS8M4m0rKu76RwBnKXgMV0hjetazlLWiB1tSAYGhlBWrTm9Z0nNOGSiaFlDV0sj4tXh98t2G8njFOauNiXpr2OM5RccF52mgGX94D1-Mc0rxR0QYYpxVveKLogTJhjDGgVdvg0pb2ioLKwaq1SsGqHKwCoVKwSfPi6Dx3G-zvFMckE_DqCOiYIrFBe-PiP66qgDIBmXt34DAtbOcwqGgcepNyDSkZ1Y_uv2O8v6f-ewNXuMd491sVKwXqR77AfIAgAZqG0voPnSjZXQ</recordid><startdate>20091001</startdate><enddate>20091001</enddate><creator>Förhécz, Zsolt, MD</creator><creator>Gombos, Tímea, MD</creator><creator>Borgulya, Gábor, MD, MSc</creator><creator>Pozsonyi, Zoltán, MD</creator><creator>Prohászka, Zoltán, MD, DSc</creator><creator>Jánoskuti, Lívia, MD, PhD</creator><general>Mosby, Inc</general><general>Mosby</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>20091001</creationdate><title>Red cell distribution width in heart failure: Prediction of clinical events and relationship with markers of ineffective erythropoiesis, inflammation, renal function, and nutritional state</title><author>Förhécz, Zsolt, MD ; Gombos, Tímea, MD ; Borgulya, Gábor, MD, MSc ; Pozsonyi, Zoltán, MD ; Prohászka, Zoltán, MD, DSc ; Jánoskuti, Lívia, MD, PhD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c464t-16bd59064e9da0179cc6b848680a7efc30e0c12f7eacdc8cb6615194979930b93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Aged</topic><topic>Anemia</topic><topic>Biological and medical sciences</topic><topic>Biomarkers - blood</topic><topic>C-Reactive Protein - metabolism</topic><topic>Cardiology. Vascular system</topic><topic>Cardiovascular</topic><topic>Erythrocyte Count</topic><topic>Erythropoiesis - physiology</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Glomerular Filtration Rate - physiology</topic><topic>Heart</topic><topic>Heart attacks</topic><topic>Heart Failure - blood</topic><topic>Heart Failure - mortality</topic><topic>Heart Failure - physiopathology</topic><topic>Heart failure, cardiogenic pulmonary edema, cardiac enlargement</topic><topic>Humans</topic><topic>Hungary - epidemiology</topic><topic>Inflammation - blood</topic><topic>Iron</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Nutritional Status</topic><topic>Patient Readmission - statistics & numerical data</topic><topic>Prognosis</topic><topic>Proportional Hazards Models</topic><topic>Survival Rate - trends</topic><topic>Time Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Förhécz, Zsolt, MD</creatorcontrib><creatorcontrib>Gombos, Tímea, MD</creatorcontrib><creatorcontrib>Borgulya, Gábor, MD, MSc</creatorcontrib><creatorcontrib>Pozsonyi, Zoltán, MD</creatorcontrib><creatorcontrib>Prohászka, Zoltán, MD, DSc</creatorcontrib><creatorcontrib>Jánoskuti, Lívia, MD, PhD</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>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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</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>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>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>Förhécz, Zsolt, MD</au><au>Gombos, Tímea, MD</au><au>Borgulya, Gábor, MD, MSc</au><au>Pozsonyi, Zoltán, MD</au><au>Prohászka, Zoltán, MD, DSc</au><au>Jánoskuti, Lívia, MD, PhD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Red cell distribution width in heart failure: Prediction of clinical events and relationship with markers of ineffective erythropoiesis, inflammation, renal function, and nutritional state</atitle><jtitle>The American heart journal</jtitle><addtitle>Am Heart J</addtitle><date>2009-10-01</date><risdate>2009</risdate><volume>158</volume><issue>4</issue><spage>659</spage><epage>666</epage><pages>659-666</pages><issn>0002-8703</issn><eissn>1097-6744</eissn><coden>AHJOA2</coden><abstract>Objectives The goal of this study was to independently validate the recent observations on the predictive role of red cell distribution width (RDW) for outcomes in chronic heart failure and to provide epidemiologic data on the biological correlates of RDW in heart failure (HF). Understanding the mechanism underlying this observation is unclear, largely hampered by the lack of epidemiologic studies demonstrating factors that are associated with anisocytosis in cardiovascular diseases. Methods One hundred ninety-five patients (145 men, 50 women) with systolic HF were enrolled and followed up for a median of 14.5 months. Primary end points were all-cause mortality and hospital readmission due to worsening HF symptoms. A total of 19 clinical chemistry, hematology, and biochemical variables were considered for analysis together with clinical parameters in Cox proportional hazards and multiple regression models. Results Red cell distribution width was found to be an N-terminal pro–brain natriuretic peptide independent predictor of all-cause mortality (adjusted HR 1.61 per 1 SD increase) in our study. Multiple correlations between biomarkers of ineffective erythropoiesis (serum iron, ferritin, and soluble transferrin receptor levels), inflammation and acute-phase reaction (interleukin-6, soluble tumor necrosis factor (TNF) receptor I and soluble TNF receptor II, C-reactive protein, and prealbumin concentrations), undernutrition (total cholesterol and albumin levels), and renal function were observed. In the multiple regression model, the strongest relationship for RDW was obtained with soluble transferrin receptor, soluble TNF receptor I, soluble TNF receptor II, and total cholesterol. Conclusions Here we validate the strong, independent prediction of morbidity and mortality in HF by RDW. The described correlations between RDW and inflammation, ineffective erythropoiesis, undernutrition, and impaired renal function may facilitate the understanding why this marker is associated with adverse outcomes in HF.</abstract><cop>New York, NY</cop><pub>Mosby, Inc</pub><pmid>19781428</pmid><doi>10.1016/j.ahj.2009.07.024</doi><tpages>8</tpages></addata></record> |
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subjects | Aged Anemia Biological and medical sciences Biomarkers - blood C-Reactive Protein - metabolism Cardiology. Vascular system Cardiovascular Erythrocyte Count Erythropoiesis - physiology Female Follow-Up Studies Glomerular Filtration Rate - physiology Heart Heart attacks Heart Failure - blood Heart Failure - mortality Heart Failure - physiopathology Heart failure, cardiogenic pulmonary edema, cardiac enlargement Humans Hungary - epidemiology Inflammation - blood Iron Male Medical sciences Middle Aged Mortality Nutritional Status Patient Readmission - statistics & numerical data Prognosis Proportional Hazards Models Survival Rate - trends Time Factors |
title | Red cell distribution width in heart failure: Prediction of clinical events and relationship with markers of ineffective erythropoiesis, inflammation, renal function, and nutritional state |
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