Association of Urinary Injury Biomarkers with Mortality and Cardiovascular Events
Kidney damage is a common sequela of several chronic pathologic conditions. Whether biomarkers of kidney damage are prognostic for more severe outcomes is unknown. We measured three urinary biomarkers (kidney injury molecule-1 [KIM-1], IL-18, and albumin) in 3010 individuals enrolled in the Health,...
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Veröffentlicht in: | Journal of the American Society of Nephrology 2014-07, Vol.25 (7), p.1545-1553 |
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creator | SARNAK, Mark J KATZ, Ronit SIMONSICK, Eleanor M PARIKH, Chirag R SHLIPAK, Michael G NEWMAN, Anne HARRIS, Tamara PERALTA, Carmen A DEVARAJAN, Prasad BENNETT, Michael R FRIED, Linda IX, Joachim H SATTERFIELD, Suzanne |
description | Kidney damage is a common sequela of several chronic pathologic conditions. Whether biomarkers of kidney damage are prognostic for more severe outcomes is unknown. We measured three urinary biomarkers (kidney injury molecule-1 [KIM-1], IL-18, and albumin) in 3010 individuals enrolled in the Health, Aging and Body Composition (Health ABC) study and used Cox proportional hazards models to investigate the associations of urinary KIM-1/creatinine (cr), IL-18/cr, and albumin/cr (ACR) with all-cause mortality and cardiovascular disease (CVD). Multivariable models adjusted for demographics, traditional CVD risk factors, and eGFR. Mean age of participants was 74 years, 49% of participants were men, and 41% of participants were black. During the median 12.4 years of follow-up, 1450 deaths and 797 CVD outcomes occurred. Compared with the lowest quartile, successive quartiles had the following adjusted hazard ratios (HRs; 95% confidence intervals [95% CIs]) for mortality: KIM-1/cr: (1.21; 1.03 to 1.41), (1.13; 0.96 to 1.34), and (1.28; 1.08 to 1.52); IL-18/cr: (1.02; 0.88 to 1.19), (1.16; 0.99 to 1.35), and (1.06; 0.90 to 1.25); ACR: (1.08; 0.91 to 1.27), (1.24; 1.06 to 1.46), and (1.63; 1.39 to 1.91). In similar analyses, only ACR quartiles associated with CVD: (1.19; 0.95 to 1.48), (1.35; 1.08 to 1.67), and (1.54; 1.24 to 1.91). Urinary KIM-1 had a modest association with all-cause mortality but did not associate with CVD, and urinary IL-18 did not associate with either outcome. In contrast, albuminuria strongly associated with all-cause mortality and CVD. Future studies should evaluate reasons for these differences in the prognostic importance of individual kidney injury markers. |
doi_str_mv | 10.1681/ASN.2013070713 |
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Whether biomarkers of kidney damage are prognostic for more severe outcomes is unknown. We measured three urinary biomarkers (kidney injury molecule-1 [KIM-1], IL-18, and albumin) in 3010 individuals enrolled in the Health, Aging and Body Composition (Health ABC) study and used Cox proportional hazards models to investigate the associations of urinary KIM-1/creatinine (cr), IL-18/cr, and albumin/cr (ACR) with all-cause mortality and cardiovascular disease (CVD). Multivariable models adjusted for demographics, traditional CVD risk factors, and eGFR. Mean age of participants was 74 years, 49% of participants were men, and 41% of participants were black. During the median 12.4 years of follow-up, 1450 deaths and 797 CVD outcomes occurred. Compared with the lowest quartile, successive quartiles had the following adjusted hazard ratios (HRs; 95% confidence intervals [95% CIs]) for mortality: KIM-1/cr: (1.21; 1.03 to 1.41), (1.13; 0.96 to 1.34), and (1.28; 1.08 to 1.52); IL-18/cr: (1.02; 0.88 to 1.19), (1.16; 0.99 to 1.35), and (1.06; 0.90 to 1.25); ACR: (1.08; 0.91 to 1.27), (1.24; 1.06 to 1.46), and (1.63; 1.39 to 1.91). In similar analyses, only ACR quartiles associated with CVD: (1.19; 0.95 to 1.48), (1.35; 1.08 to 1.67), and (1.54; 1.24 to 1.91). Urinary KIM-1 had a modest association with all-cause mortality but did not associate with CVD, and urinary IL-18 did not associate with either outcome. In contrast, albuminuria strongly associated with all-cause mortality and CVD. Future studies should evaluate reasons for these differences in the prognostic importance of individual kidney injury markers.</description><identifier>ISSN: 1046-6673</identifier><identifier>EISSN: 1533-3450</identifier><identifier>DOI: 10.1681/ASN.2013070713</identifier><identifier>PMID: 24511130</identifier><identifier>CODEN: JASNEU</identifier><language>eng</language><publisher>Washington, DC: American Society of Nephrology</publisher><subject>Aged ; Albuminuria - urine ; Biological and medical sciences ; Biomarkers - urine ; Cardiovascular Diseases - mortality ; Cardiovascular Diseases - urine ; Cause of Death ; Clinical Epidemiology ; Female ; Hepatitis A Virus Cellular Receptor 1 ; Humans ; Interleukin-18 - urine ; Male ; Medical sciences ; Membrane Glycoproteins - urine ; Nephrology. Urinary tract diseases ; Receptors, Virus</subject><ispartof>Journal of the American Society of Nephrology, 2014-07, Vol.25 (7), p.1545-1553</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright © 2014 by the American Society of Nephrology.</rights><rights>Copyright © 2014 by the American Society of Nephrology 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c420t-a03a50b2062716a1deb73c9b57b969b38aa8b3ee46e895bc3253b19a14141d73</citedby><cites>FETCH-LOGICAL-c420t-a03a50b2062716a1deb73c9b57b969b38aa8b3ee46e895bc3253b19a14141d73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4073430/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4073430/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28609563$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24511130$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>SARNAK, Mark J</creatorcontrib><creatorcontrib>KATZ, Ronit</creatorcontrib><creatorcontrib>SIMONSICK, Eleanor M</creatorcontrib><creatorcontrib>PARIKH, Chirag R</creatorcontrib><creatorcontrib>SHLIPAK, Michael G</creatorcontrib><creatorcontrib>NEWMAN, Anne</creatorcontrib><creatorcontrib>HARRIS, Tamara</creatorcontrib><creatorcontrib>PERALTA, Carmen A</creatorcontrib><creatorcontrib>DEVARAJAN, Prasad</creatorcontrib><creatorcontrib>BENNETT, Michael R</creatorcontrib><creatorcontrib>FRIED, Linda</creatorcontrib><creatorcontrib>IX, Joachim H</creatorcontrib><creatorcontrib>SATTERFIELD, Suzanne</creatorcontrib><creatorcontrib>Health ABC Study</creatorcontrib><title>Association of Urinary Injury Biomarkers with Mortality and Cardiovascular Events</title><title>Journal of the American Society of Nephrology</title><addtitle>J Am Soc Nephrol</addtitle><description>Kidney damage is a common sequela of several chronic pathologic conditions. Whether biomarkers of kidney damage are prognostic for more severe outcomes is unknown. We measured three urinary biomarkers (kidney injury molecule-1 [KIM-1], IL-18, and albumin) in 3010 individuals enrolled in the Health, Aging and Body Composition (Health ABC) study and used Cox proportional hazards models to investigate the associations of urinary KIM-1/creatinine (cr), IL-18/cr, and albumin/cr (ACR) with all-cause mortality and cardiovascular disease (CVD). Multivariable models adjusted for demographics, traditional CVD risk factors, and eGFR. Mean age of participants was 74 years, 49% of participants were men, and 41% of participants were black. During the median 12.4 years of follow-up, 1450 deaths and 797 CVD outcomes occurred. Compared with the lowest quartile, successive quartiles had the following adjusted hazard ratios (HRs; 95% confidence intervals [95% CIs]) for mortality: KIM-1/cr: (1.21; 1.03 to 1.41), (1.13; 0.96 to 1.34), and (1.28; 1.08 to 1.52); IL-18/cr: (1.02; 0.88 to 1.19), (1.16; 0.99 to 1.35), and (1.06; 0.90 to 1.25); ACR: (1.08; 0.91 to 1.27), (1.24; 1.06 to 1.46), and (1.63; 1.39 to 1.91). In similar analyses, only ACR quartiles associated with CVD: (1.19; 0.95 to 1.48), (1.35; 1.08 to 1.67), and (1.54; 1.24 to 1.91). Urinary KIM-1 had a modest association with all-cause mortality but did not associate with CVD, and urinary IL-18 did not associate with either outcome. In contrast, albuminuria strongly associated with all-cause mortality and CVD. Future studies should evaluate reasons for these differences in the prognostic importance of individual kidney injury markers.</description><subject>Aged</subject><subject>Albuminuria - urine</subject><subject>Biological and medical sciences</subject><subject>Biomarkers - urine</subject><subject>Cardiovascular Diseases - mortality</subject><subject>Cardiovascular Diseases - urine</subject><subject>Cause of Death</subject><subject>Clinical Epidemiology</subject><subject>Female</subject><subject>Hepatitis A Virus Cellular Receptor 1</subject><subject>Humans</subject><subject>Interleukin-18 - urine</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Membrane Glycoproteins - urine</subject><subject>Nephrology. Urinary tract diseases</subject><subject>Receptors, Virus</subject><issn>1046-6673</issn><issn>1533-3450</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkU1PGzEQhq2qiI_AtcdqL5W4bLB3_LF7qZRGQJEoCBHO1tjrNKabNbV3g_Lva0QKrUaaseRn3hnNS8gnRqdM1uxsdn8zrSgDqqhi8IEcMgFQAhf0Y35TLkspFRyQo5QeKWWiUmqfHFRcMJabDsndLKVgPQ4-9EVYFg_R9xi3xVX_OObyzYc1xl8upuLZD6viR4gDdn7YFti3xRxj68MGkx07jMX5xvVDOiZ7S-ySO9nVCVlcnC_m38vr28ur-ey6tLyiQ4kUUFBTUVkpJpG1ziiwjRHKNLIxUCPWBpzj0tWNMBYqAYY1yHiOVsGEfH2VfRrN2rU2j47Y6afo88JbHdDr_396v9I_w0ZzqoADzQKnO4EYfo8uDXrtk3Vdh70LY9JM8EaCrHKakOkramNIKbrl2xhG9YsNOtug323IDZ__Xe4N_3v3DHzZAfl42C0j9tand66WtBES4A9L65DE</recordid><startdate>20140701</startdate><enddate>20140701</enddate><creator>SARNAK, Mark J</creator><creator>KATZ, Ronit</creator><creator>SIMONSICK, Eleanor M</creator><creator>PARIKH, Chirag R</creator><creator>SHLIPAK, Michael G</creator><creator>NEWMAN, Anne</creator><creator>HARRIS, Tamara</creator><creator>PERALTA, Carmen A</creator><creator>DEVARAJAN, Prasad</creator><creator>BENNETT, Michael R</creator><creator>FRIED, Linda</creator><creator>IX, Joachim H</creator><creator>SATTERFIELD, Suzanne</creator><general>American Society of Nephrology</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><scope>5PM</scope></search><sort><creationdate>20140701</creationdate><title>Association of Urinary Injury Biomarkers with Mortality and Cardiovascular Events</title><author>SARNAK, Mark J ; KATZ, Ronit ; SIMONSICK, Eleanor M ; PARIKH, Chirag R ; SHLIPAK, Michael G ; NEWMAN, Anne ; HARRIS, Tamara ; PERALTA, Carmen A ; DEVARAJAN, Prasad ; BENNETT, Michael R ; FRIED, Linda ; IX, Joachim H ; SATTERFIELD, Suzanne</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c420t-a03a50b2062716a1deb73c9b57b969b38aa8b3ee46e895bc3253b19a14141d73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Aged</topic><topic>Albuminuria - urine</topic><topic>Biological and medical sciences</topic><topic>Biomarkers - urine</topic><topic>Cardiovascular Diseases - mortality</topic><topic>Cardiovascular Diseases - urine</topic><topic>Cause of Death</topic><topic>Clinical Epidemiology</topic><topic>Female</topic><topic>Hepatitis A Virus Cellular Receptor 1</topic><topic>Humans</topic><topic>Interleukin-18 - urine</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Membrane Glycoproteins - urine</topic><topic>Nephrology. Urinary tract diseases</topic><topic>Receptors, Virus</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>SARNAK, Mark J</creatorcontrib><creatorcontrib>KATZ, Ronit</creatorcontrib><creatorcontrib>SIMONSICK, Eleanor M</creatorcontrib><creatorcontrib>PARIKH, Chirag R</creatorcontrib><creatorcontrib>SHLIPAK, Michael G</creatorcontrib><creatorcontrib>NEWMAN, Anne</creatorcontrib><creatorcontrib>HARRIS, Tamara</creatorcontrib><creatorcontrib>PERALTA, Carmen A</creatorcontrib><creatorcontrib>DEVARAJAN, Prasad</creatorcontrib><creatorcontrib>BENNETT, Michael R</creatorcontrib><creatorcontrib>FRIED, Linda</creatorcontrib><creatorcontrib>IX, Joachim H</creatorcontrib><creatorcontrib>SATTERFIELD, Suzanne</creatorcontrib><creatorcontrib>Health ABC Study</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><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of the American Society of Nephrology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>SARNAK, Mark J</au><au>KATZ, Ronit</au><au>SIMONSICK, Eleanor M</au><au>PARIKH, Chirag R</au><au>SHLIPAK, Michael G</au><au>NEWMAN, Anne</au><au>HARRIS, Tamara</au><au>PERALTA, Carmen A</au><au>DEVARAJAN, Prasad</au><au>BENNETT, Michael R</au><au>FRIED, Linda</au><au>IX, Joachim H</au><au>SATTERFIELD, Suzanne</au><aucorp>Health ABC Study</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association of Urinary Injury Biomarkers with Mortality and Cardiovascular Events</atitle><jtitle>Journal of the American Society of Nephrology</jtitle><addtitle>J Am Soc Nephrol</addtitle><date>2014-07-01</date><risdate>2014</risdate><volume>25</volume><issue>7</issue><spage>1545</spage><epage>1553</epage><pages>1545-1553</pages><issn>1046-6673</issn><eissn>1533-3450</eissn><coden>JASNEU</coden><abstract>Kidney damage is a common sequela of several chronic pathologic conditions. Whether biomarkers of kidney damage are prognostic for more severe outcomes is unknown. We measured three urinary biomarkers (kidney injury molecule-1 [KIM-1], IL-18, and albumin) in 3010 individuals enrolled in the Health, Aging and Body Composition (Health ABC) study and used Cox proportional hazards models to investigate the associations of urinary KIM-1/creatinine (cr), IL-18/cr, and albumin/cr (ACR) with all-cause mortality and cardiovascular disease (CVD). Multivariable models adjusted for demographics, traditional CVD risk factors, and eGFR. Mean age of participants was 74 years, 49% of participants were men, and 41% of participants were black. During the median 12.4 years of follow-up, 1450 deaths and 797 CVD outcomes occurred. Compared with the lowest quartile, successive quartiles had the following adjusted hazard ratios (HRs; 95% confidence intervals [95% CIs]) for mortality: KIM-1/cr: (1.21; 1.03 to 1.41), (1.13; 0.96 to 1.34), and (1.28; 1.08 to 1.52); IL-18/cr: (1.02; 0.88 to 1.19), (1.16; 0.99 to 1.35), and (1.06; 0.90 to 1.25); ACR: (1.08; 0.91 to 1.27), (1.24; 1.06 to 1.46), and (1.63; 1.39 to 1.91). In similar analyses, only ACR quartiles associated with CVD: (1.19; 0.95 to 1.48), (1.35; 1.08 to 1.67), and (1.54; 1.24 to 1.91). Urinary KIM-1 had a modest association with all-cause mortality but did not associate with CVD, and urinary IL-18 did not associate with either outcome. In contrast, albuminuria strongly associated with all-cause mortality and CVD. Future studies should evaluate reasons for these differences in the prognostic importance of individual kidney injury markers.</abstract><cop>Washington, DC</cop><pub>American Society of Nephrology</pub><pmid>24511130</pmid><doi>10.1681/ASN.2013070713</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aged Albuminuria - urine Biological and medical sciences Biomarkers - urine Cardiovascular Diseases - mortality Cardiovascular Diseases - urine Cause of Death Clinical Epidemiology Female Hepatitis A Virus Cellular Receptor 1 Humans Interleukin-18 - urine Male Medical sciences Membrane Glycoproteins - urine Nephrology. Urinary tract diseases Receptors, Virus |
title | Association of Urinary Injury Biomarkers with Mortality and Cardiovascular Events |
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