Estimating GFR Using Serum Cystatin C Alone and in Combination With Serum Creatinine: A Pooled Analysis of 3,418 Individuals With CKD
Background Serum cystatin C was proposed as a potential replacement for serum creatinine in glomerular filtration rate (GFR) estimation. We report the development and evaluation of GFR-estimating equations using serum cystatin C alone and serum cystatin C, serum creatinine, or both with demographic...
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Veröffentlicht in: | American journal of kidney diseases 2008-03, Vol.51 (3), p.395-406 |
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creator | Stevens, Lesley A., MD, MS Coresh, Josef, MD, PhD, MPH Schmid, Christopher H., PhD Feldman, Harold I., MD, MSCE Froissart, Marc, MD, PhD Kusek, John, PhD Rossert, Jerome, MD, PhD Van Lente, Frederick, PhD Bruce, Robert D., BA Zhang, Yaping (Lucy), MD Greene, Tom, PhD Levey, Andrew S., MD |
description | Background Serum cystatin C was proposed as a potential replacement for serum creatinine in glomerular filtration rate (GFR) estimation. We report the development and evaluation of GFR-estimating equations using serum cystatin C alone and serum cystatin C, serum creatinine, or both with demographic variables. Study Design Test of diagnostic accuracy. Setting & Participants Participants screened for 3 chronic kidney disease (CKD) studies in the United States (n = 2,980) and a clinical population in Paris, France (n = 438). Reference Test Measured GFR (mGFR). Index Test Estimated GFR using the 4 new equations based on serum cystatin C alone, serum cystatin C, serum creatinine, or both with age, sex, and race. New equations were developed by using linear regression with log GFR as the outcome in two thirds of data from US studies. Internal validation was performed in the remaining one third of data from US CKD studies; external validation was performed in the Paris study. Measurements GFR was measured by using urinary clearance of iodine-125–iothalamate in the US studies and chromium-51–EDTA in the Paris study. Serum cystatin C was measured by using Dade-Behring assay, standardized serum creatinine values were used. Results Mean mGFR, serum creatinine, and serum cystatin C values were 48 mL/min/1.73 m2 (5th to 95th percentile, 15 to 95), 2.1 mg/dL, and 1.8 mg/L, respectively. For the new equations, coefficients for age, sex, and race were significant in the equation with serum cystatin C, but 2- to 4-fold smaller than in the equation with serum creatinine. Measures of performance in new equations were consistent across the development and internal and external validation data sets. Percentages of estimated GFR within 30% of mGFR for equations based on serum cystatin C alone, serum cystatin C, serum creatinine, or both levels with age, sex, and race were 81%, 83%, 85%, and 89%, respectively. The equation using serum cystatin C level alone yields estimates with small biases in age, sex, and race subgroups, which are improved in equations including these variables. Limitations Study population composed mainly of patients with CKD. Conclusions Serum cystatin C level alone provides GFR estimates that are nearly as accurate as serum creatinine level adjusted for age, sex, and race, thus providing an alternative GFR estimate that is not linked to muscle mass. An equation including serum cystatin C level in combination with serum creatinine level, age, sex, and race |
doi_str_mv | 10.1053/j.ajkd.2007.11.018 |
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We report the development and evaluation of GFR-estimating equations using serum cystatin C alone and serum cystatin C, serum creatinine, or both with demographic variables. Study Design Test of diagnostic accuracy. Setting & Participants Participants screened for 3 chronic kidney disease (CKD) studies in the United States (n = 2,980) and a clinical population in Paris, France (n = 438). Reference Test Measured GFR (mGFR). Index Test Estimated GFR using the 4 new equations based on serum cystatin C alone, serum cystatin C, serum creatinine, or both with age, sex, and race. New equations were developed by using linear regression with log GFR as the outcome in two thirds of data from US studies. Internal validation was performed in the remaining one third of data from US CKD studies; external validation was performed in the Paris study. Measurements GFR was measured by using urinary clearance of iodine-125–iothalamate in the US studies and chromium-51–EDTA in the Paris study. Serum cystatin C was measured by using Dade-Behring assay, standardized serum creatinine values were used. Results Mean mGFR, serum creatinine, and serum cystatin C values were 48 mL/min/1.73 m2 (5th to 95th percentile, 15 to 95), 2.1 mg/dL, and 1.8 mg/L, respectively. For the new equations, coefficients for age, sex, and race were significant in the equation with serum cystatin C, but 2- to 4-fold smaller than in the equation with serum creatinine. Measures of performance in new equations were consistent across the development and internal and external validation data sets. Percentages of estimated GFR within 30% of mGFR for equations based on serum cystatin C alone, serum cystatin C, serum creatinine, or both levels with age, sex, and race were 81%, 83%, 85%, and 89%, respectively. The equation using serum cystatin C level alone yields estimates with small biases in age, sex, and race subgroups, which are improved in equations including these variables. Limitations Study population composed mainly of patients with CKD. Conclusions Serum cystatin C level alone provides GFR estimates that are nearly as accurate as serum creatinine level adjusted for age, sex, and race, thus providing an alternative GFR estimate that is not linked to muscle mass. An equation including serum cystatin C level in combination with serum creatinine level, age, sex, and race provides the most accurate estimates.</description><identifier>ISSN: 0272-6386</identifier><identifier>ISSN: 1523-6838</identifier><identifier>EISSN: 1523-6838</identifier><identifier>DOI: 10.1053/j.ajkd.2007.11.018</identifier><identifier>PMID: 18295055</identifier><language>eng</language><publisher>Orlando, FL: Elsevier Inc</publisher><subject>accuracy ; Adult ; bias ; Biological and medical sciences ; Biomarkers - blood ; Cardiovascular Diseases - blood ; Cardiovascular Diseases - epidemiology ; Comorbidity ; Creatinine ; Creatinine - blood ; cystatin ; Cystatin C ; Cystatins - blood ; diagnostic tests ; Female ; glomerular filtration rate (GFR)-estimating equations ; Glomerular Filtration Rate - physiology ; Humans ; Kidney Function Tests - methods ; Male ; Medical sciences ; Middle Aged ; Models, Statistical ; Nephrology ; Nephrology. Urinary tract diseases ; precision ; Renal Insufficiency, Chronic - blood ; Renal Insufficiency, Chronic - epidemiology ; Renal Insufficiency, Chronic - physiopathology</subject><ispartof>American journal of kidney diseases, 2008-03, Vol.51 (3), p.395-406</ispartof><rights>National Kidney Foundation, Inc.</rights><rights>2008 National Kidney Foundation, Inc.</rights><rights>2008 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c483t-6a61c157cb3b2242854c59e28b4bb33f358ad1f98e8fea2d1edb013bf9dca3143</citedby><cites>FETCH-LOGICAL-c483t-6a61c157cb3b2242854c59e28b4bb33f358ad1f98e8fea2d1edb013bf9dca3143</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1053/j.ajkd.2007.11.018$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20157960$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18295055$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Stevens, Lesley A., MD, MS</creatorcontrib><creatorcontrib>Coresh, Josef, MD, PhD, MPH</creatorcontrib><creatorcontrib>Schmid, Christopher H., PhD</creatorcontrib><creatorcontrib>Feldman, Harold I., MD, MSCE</creatorcontrib><creatorcontrib>Froissart, Marc, MD, PhD</creatorcontrib><creatorcontrib>Kusek, John, PhD</creatorcontrib><creatorcontrib>Rossert, Jerome, MD, PhD</creatorcontrib><creatorcontrib>Van Lente, Frederick, PhD</creatorcontrib><creatorcontrib>Bruce, Robert D., BA</creatorcontrib><creatorcontrib>Zhang, Yaping (Lucy), MD</creatorcontrib><creatorcontrib>Greene, Tom, PhD</creatorcontrib><creatorcontrib>Levey, Andrew S., MD</creatorcontrib><title>Estimating GFR Using Serum Cystatin C Alone and in Combination With Serum Creatinine: A Pooled Analysis of 3,418 Individuals With CKD</title><title>American journal of kidney diseases</title><addtitle>Am J Kidney Dis</addtitle><description>Background Serum cystatin C was proposed as a potential replacement for serum creatinine in glomerular filtration rate (GFR) estimation. We report the development and evaluation of GFR-estimating equations using serum cystatin C alone and serum cystatin C, serum creatinine, or both with demographic variables. Study Design Test of diagnostic accuracy. Setting & Participants Participants screened for 3 chronic kidney disease (CKD) studies in the United States (n = 2,980) and a clinical population in Paris, France (n = 438). Reference Test Measured GFR (mGFR). Index Test Estimated GFR using the 4 new equations based on serum cystatin C alone, serum cystatin C, serum creatinine, or both with age, sex, and race. New equations were developed by using linear regression with log GFR as the outcome in two thirds of data from US studies. Internal validation was performed in the remaining one third of data from US CKD studies; external validation was performed in the Paris study. Measurements GFR was measured by using urinary clearance of iodine-125–iothalamate in the US studies and chromium-51–EDTA in the Paris study. Serum cystatin C was measured by using Dade-Behring assay, standardized serum creatinine values were used. Results Mean mGFR, serum creatinine, and serum cystatin C values were 48 mL/min/1.73 m2 (5th to 95th percentile, 15 to 95), 2.1 mg/dL, and 1.8 mg/L, respectively. For the new equations, coefficients for age, sex, and race were significant in the equation with serum cystatin C, but 2- to 4-fold smaller than in the equation with serum creatinine. Measures of performance in new equations were consistent across the development and internal and external validation data sets. Percentages of estimated GFR within 30% of mGFR for equations based on serum cystatin C alone, serum cystatin C, serum creatinine, or both levels with age, sex, and race were 81%, 83%, 85%, and 89%, respectively. The equation using serum cystatin C level alone yields estimates with small biases in age, sex, and race subgroups, which are improved in equations including these variables. Limitations Study population composed mainly of patients with CKD. Conclusions Serum cystatin C level alone provides GFR estimates that are nearly as accurate as serum creatinine level adjusted for age, sex, and race, thus providing an alternative GFR estimate that is not linked to muscle mass. An equation including serum cystatin C level in combination with serum creatinine level, age, sex, and race provides the most accurate estimates.</description><subject>accuracy</subject><subject>Adult</subject><subject>bias</subject><subject>Biological and medical sciences</subject><subject>Biomarkers - blood</subject><subject>Cardiovascular Diseases - blood</subject><subject>Cardiovascular Diseases - epidemiology</subject><subject>Comorbidity</subject><subject>Creatinine</subject><subject>Creatinine - blood</subject><subject>cystatin</subject><subject>Cystatin C</subject><subject>Cystatins - blood</subject><subject>diagnostic tests</subject><subject>Female</subject><subject>glomerular filtration rate (GFR)-estimating equations</subject><subject>Glomerular Filtration Rate - physiology</subject><subject>Humans</subject><subject>Kidney Function Tests - methods</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Models, Statistical</subject><subject>Nephrology</subject><subject>Nephrology. Urinary tract diseases</subject><subject>precision</subject><subject>Renal Insufficiency, Chronic - blood</subject><subject>Renal Insufficiency, Chronic - epidemiology</subject><subject>Renal Insufficiency, Chronic - physiopathology</subject><issn>0272-6386</issn><issn>1523-6838</issn><issn>1523-6838</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kstu1TAQhiMEoofCC7BA3sCKBN-SOAghHaUXKiqBKBVLy7En4DSxi51UOg_Q98bROYDEgpU9mu8fj_-ZLHtOcEFwyd4MhRpuTEExrgtCCkzEg2xDSsrySjDxMNtgWtO8YqI6yp7EOGCMG1ZVj7MjImhT4rLcZPencbaTmq37js7PvqDruN6uICwTandxXjOoRdvRO0DKGbSGfuqsSxnv0Dc7__iNB1hp6-At2qLP3o9g0NapcRdtRL5H7DUnAl04Y--sWdQY9-r248nT7FGfYnh2OI-z67PTr-2H_PLT-UW7vcw1F2zOK1URTcpad6yjlFNRcl02QEXHu46xnpVCGdI3AkQPihoCpsOEdX1jtGKEs-Ps1b7ubfA_F4iznGzUMI7KgV-irDGjnHOaQLoHdfAxBujlbUg2hZ0kWK7my0Gu5svVfEmITOYn0YtD9aWbwPyVHNxOwMsDoKJWYx-U0zb-4ShOf2sqnLh3ew6SF3cWgozagtNgbAA9S-Pt__t4_49cj2ku6cUb2EEc_BLSVKIkMlKJ5dW6JuuW4Do10PCK_QJl0rZS</recordid><startdate>20080301</startdate><enddate>20080301</enddate><creator>Stevens, Lesley A., MD, MS</creator><creator>Coresh, Josef, MD, PhD, MPH</creator><creator>Schmid, Christopher H., PhD</creator><creator>Feldman, Harold I., MD, MSCE</creator><creator>Froissart, Marc, MD, PhD</creator><creator>Kusek, John, PhD</creator><creator>Rossert, Jerome, MD, PhD</creator><creator>Van Lente, Frederick, PhD</creator><creator>Bruce, Robert D., BA</creator><creator>Zhang, Yaping (Lucy), MD</creator><creator>Greene, Tom, PhD</creator><creator>Levey, Andrew S., MD</creator><general>Elsevier Inc</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>20080301</creationdate><title>Estimating GFR Using Serum Cystatin C Alone and in Combination With Serum Creatinine: A Pooled Analysis of 3,418 Individuals With CKD</title><author>Stevens, Lesley A., MD, MS ; Coresh, Josef, MD, PhD, MPH ; Schmid, Christopher H., PhD ; Feldman, Harold I., MD, MSCE ; Froissart, Marc, MD, PhD ; Kusek, John, PhD ; Rossert, Jerome, MD, PhD ; Van Lente, Frederick, PhD ; Bruce, Robert D., BA ; Zhang, Yaping (Lucy), MD ; Greene, Tom, PhD ; Levey, Andrew S., MD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c483t-6a61c157cb3b2242854c59e28b4bb33f358ad1f98e8fea2d1edb013bf9dca3143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>accuracy</topic><topic>Adult</topic><topic>bias</topic><topic>Biological and medical sciences</topic><topic>Biomarkers - blood</topic><topic>Cardiovascular Diseases - blood</topic><topic>Cardiovascular Diseases - epidemiology</topic><topic>Comorbidity</topic><topic>Creatinine</topic><topic>Creatinine - blood</topic><topic>cystatin</topic><topic>Cystatin C</topic><topic>Cystatins - blood</topic><topic>diagnostic tests</topic><topic>Female</topic><topic>glomerular filtration rate (GFR)-estimating equations</topic><topic>Glomerular Filtration Rate - physiology</topic><topic>Humans</topic><topic>Kidney Function Tests - methods</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Models, Statistical</topic><topic>Nephrology</topic><topic>Nephrology. Urinary tract diseases</topic><topic>precision</topic><topic>Renal Insufficiency, Chronic - blood</topic><topic>Renal Insufficiency, Chronic - epidemiology</topic><topic>Renal Insufficiency, Chronic - physiopathology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Stevens, Lesley A., MD, MS</creatorcontrib><creatorcontrib>Coresh, Josef, MD, PhD, MPH</creatorcontrib><creatorcontrib>Schmid, Christopher H., PhD</creatorcontrib><creatorcontrib>Feldman, Harold I., MD, MSCE</creatorcontrib><creatorcontrib>Froissart, Marc, MD, PhD</creatorcontrib><creatorcontrib>Kusek, John, PhD</creatorcontrib><creatorcontrib>Rossert, Jerome, MD, PhD</creatorcontrib><creatorcontrib>Van Lente, Frederick, PhD</creatorcontrib><creatorcontrib>Bruce, Robert D., BA</creatorcontrib><creatorcontrib>Zhang, Yaping (Lucy), MD</creatorcontrib><creatorcontrib>Greene, Tom, PhD</creatorcontrib><creatorcontrib>Levey, Andrew S., MD</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>American journal of kidney diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Stevens, Lesley A., MD, MS</au><au>Coresh, Josef, MD, PhD, MPH</au><au>Schmid, Christopher H., PhD</au><au>Feldman, Harold I., MD, MSCE</au><au>Froissart, Marc, MD, PhD</au><au>Kusek, John, PhD</au><au>Rossert, Jerome, MD, PhD</au><au>Van Lente, Frederick, PhD</au><au>Bruce, Robert D., BA</au><au>Zhang, Yaping (Lucy), MD</au><au>Greene, Tom, PhD</au><au>Levey, Andrew S., MD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimating GFR Using Serum Cystatin C Alone and in Combination With Serum Creatinine: A Pooled Analysis of 3,418 Individuals With CKD</atitle><jtitle>American journal of kidney diseases</jtitle><addtitle>Am J Kidney Dis</addtitle><date>2008-03-01</date><risdate>2008</risdate><volume>51</volume><issue>3</issue><spage>395</spage><epage>406</epage><pages>395-406</pages><issn>0272-6386</issn><issn>1523-6838</issn><eissn>1523-6838</eissn><abstract>Background Serum cystatin C was proposed as a potential replacement for serum creatinine in glomerular filtration rate (GFR) estimation. We report the development and evaluation of GFR-estimating equations using serum cystatin C alone and serum cystatin C, serum creatinine, or both with demographic variables. Study Design Test of diagnostic accuracy. Setting & Participants Participants screened for 3 chronic kidney disease (CKD) studies in the United States (n = 2,980) and a clinical population in Paris, France (n = 438). Reference Test Measured GFR (mGFR). Index Test Estimated GFR using the 4 new equations based on serum cystatin C alone, serum cystatin C, serum creatinine, or both with age, sex, and race. New equations were developed by using linear regression with log GFR as the outcome in two thirds of data from US studies. Internal validation was performed in the remaining one third of data from US CKD studies; external validation was performed in the Paris study. Measurements GFR was measured by using urinary clearance of iodine-125–iothalamate in the US studies and chromium-51–EDTA in the Paris study. Serum cystatin C was measured by using Dade-Behring assay, standardized serum creatinine values were used. Results Mean mGFR, serum creatinine, and serum cystatin C values were 48 mL/min/1.73 m2 (5th to 95th percentile, 15 to 95), 2.1 mg/dL, and 1.8 mg/L, respectively. For the new equations, coefficients for age, sex, and race were significant in the equation with serum cystatin C, but 2- to 4-fold smaller than in the equation with serum creatinine. Measures of performance in new equations were consistent across the development and internal and external validation data sets. Percentages of estimated GFR within 30% of mGFR for equations based on serum cystatin C alone, serum cystatin C, serum creatinine, or both levels with age, sex, and race were 81%, 83%, 85%, and 89%, respectively. The equation using serum cystatin C level alone yields estimates with small biases in age, sex, and race subgroups, which are improved in equations including these variables. Limitations Study population composed mainly of patients with CKD. Conclusions Serum cystatin C level alone provides GFR estimates that are nearly as accurate as serum creatinine level adjusted for age, sex, and race, thus providing an alternative GFR estimate that is not linked to muscle mass. An equation including serum cystatin C level in combination with serum creatinine level, age, sex, and race provides the most accurate estimates.</abstract><cop>Orlando, FL</cop><pub>Elsevier Inc</pub><pmid>18295055</pmid><doi>10.1053/j.ajkd.2007.11.018</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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subjects | accuracy Adult bias Biological and medical sciences Biomarkers - blood Cardiovascular Diseases - blood Cardiovascular Diseases - epidemiology Comorbidity Creatinine Creatinine - blood cystatin Cystatin C Cystatins - blood diagnostic tests Female glomerular filtration rate (GFR)-estimating equations Glomerular Filtration Rate - physiology Humans Kidney Function Tests - methods Male Medical sciences Middle Aged Models, Statistical Nephrology Nephrology. Urinary tract diseases precision Renal Insufficiency, Chronic - blood Renal Insufficiency, Chronic - epidemiology Renal Insufficiency, Chronic - physiopathology |
title | Estimating GFR Using Serum Cystatin C Alone and in Combination With Serum Creatinine: A Pooled Analysis of 3,418 Individuals With CKD |
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