Validation of the Kidney Disease Improving Global Outcomes criteria for AKI and comparison of three criteria in hospitalized patients
AKI is a major clinical problem and predictor of outcome in hospitalized patients. In 2013, the Kidney Disease: Improving Global Outcomes (KDIGO) group published the third consensus AKI definition and classification system after the Risk, Injury, Failure, Loss of Kidney Function, and End-Stage Kidne...
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Veröffentlicht in: | Clinical journal of the American Society of Nephrology 2014-05, Vol.9 (5), p.848-854 |
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description | AKI is a major clinical problem and predictor of outcome in hospitalized patients. In 2013, the Kidney Disease: Improving Global Outcomes (KDIGO) group published the third consensus AKI definition and classification system after the Risk, Injury, Failure, Loss of Kidney Function, and End-Stage Kidney Disease (RIFLE) and the Acute Kidney Injury Network (AKIN) working group systems. It is unclear which system achieves optimal prognostication in hospital patients.
A retrospective observational study using hospital laboratory, admission, and discharge databases was performed that included adult patients admitted to a teaching hospital in Tokyo, Japan between April 1, 2008, and October 31, 2011. AKI occurring during each hospital stay was identified, and discriminative ability of each AKI classification system based on serum creatinine for the prediction of hospital mortality was assessed. The receiver operating characteristic curve, a graphical measure of test performance, and the area under the curve were used to evaluate how classifications preformed on the study population.
In total, 49,518 admissions were studied, of which 11.0% were diagnosed with RIFLE criteria and 11.6% were diagnosed with KDIGO criteria, but only 4.8% were diagnosed with AKIN criteria. Overall hospital mortality was 3.0%. AKI staging and hospital mortality were closely correlated in all systems. Discrimination for hospital mortality was similar for RIFLE and KDIGO criteria (area under the curve=0.77 versus 0.78; P=0.02), whereas AKIN discrimination was inferior (area under the curve=0.69 versus RIFLE [P |
doi_str_mv | 10.2215/cjn.09530913 |
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A retrospective observational study using hospital laboratory, admission, and discharge databases was performed that included adult patients admitted to a teaching hospital in Tokyo, Japan between April 1, 2008, and October 31, 2011. AKI occurring during each hospital stay was identified, and discriminative ability of each AKI classification system based on serum creatinine for the prediction of hospital mortality was assessed. The receiver operating characteristic curve, a graphical measure of test performance, and the area under the curve were used to evaluate how classifications preformed on the study population.
In total, 49,518 admissions were studied, of which 11.0% were diagnosed with RIFLE criteria and 11.6% were diagnosed with KDIGO criteria, but only 4.8% were diagnosed with AKIN criteria. Overall hospital mortality was 3.0%. AKI staging and hospital mortality were closely correlated in all systems. Discrimination for hospital mortality was similar for RIFLE and KDIGO criteria (area under the curve=0.77 versus 0.78; P=0.02), whereas AKIN discrimination was inferior (area under the curve=0.69 versus RIFLE [P<0.001] versus KDIGO [P<0.001]).
Among hospital patients, KDIGO and RIFLE criteria achieved similar discrimination, but the discrimination of AKIN was inferior.</description><identifier>ISSN: 1555-9041</identifier><identifier>EISSN: 1555-905X</identifier><identifier>DOI: 10.2215/cjn.09530913</identifier><identifier>PMID: 24578334</identifier><language>eng</language><publisher>United States: American Society of Nephrology</publisher><subject>Acute Kidney Injury - blood ; Acute Kidney Injury - classification ; Acute Kidney Injury - diagnosis ; Acute Kidney Injury - mortality ; Aged ; Area Under Curve ; Creatinine - blood ; Female ; Hospital Mortality ; Hospitalization ; Humans ; Japan - epidemiology ; Male ; Middle Aged ; Original ; Predictive Value of Tests ; Prognosis ; Retrospective Studies ; ROC Curve</subject><ispartof>Clinical journal of the American Society of Nephrology, 2014-05, Vol.9 (5), p.848-854</ispartof><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-c450t-1bffe03dd11a03445794f990c192e38ca2d6155450860921ffe5bfaacae391de3</citedby><cites>FETCH-LOGICAL-c450t-1bffe03dd11a03445794f990c192e38ca2d6155450860921ffe5bfaacae391de3</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/PMC4011454/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4011454/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,315,729,782,786,887,27931,27932,53798,53800</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24578334$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fujii, Tomoko</creatorcontrib><creatorcontrib>Uchino, Shigehiko</creatorcontrib><creatorcontrib>Takinami, Masanori</creatorcontrib><creatorcontrib>Bellomo, Rinaldo</creatorcontrib><title>Validation of the Kidney Disease Improving Global Outcomes criteria for AKI and comparison of three criteria in hospitalized patients</title><title>Clinical journal of the American Society of Nephrology</title><addtitle>Clin J Am Soc Nephrol</addtitle><description>AKI is a major clinical problem and predictor of outcome in hospitalized patients. In 2013, the Kidney Disease: Improving Global Outcomes (KDIGO) group published the third consensus AKI definition and classification system after the Risk, Injury, Failure, Loss of Kidney Function, and End-Stage Kidney Disease (RIFLE) and the Acute Kidney Injury Network (AKIN) working group systems. It is unclear which system achieves optimal prognostication in hospital patients.
A retrospective observational study using hospital laboratory, admission, and discharge databases was performed that included adult patients admitted to a teaching hospital in Tokyo, Japan between April 1, 2008, and October 31, 2011. AKI occurring during each hospital stay was identified, and discriminative ability of each AKI classification system based on serum creatinine for the prediction of hospital mortality was assessed. The receiver operating characteristic curve, a graphical measure of test performance, and the area under the curve were used to evaluate how classifications preformed on the study population.
In total, 49,518 admissions were studied, of which 11.0% were diagnosed with RIFLE criteria and 11.6% were diagnosed with KDIGO criteria, but only 4.8% were diagnosed with AKIN criteria. Overall hospital mortality was 3.0%. AKI staging and hospital mortality were closely correlated in all systems. Discrimination for hospital mortality was similar for RIFLE and KDIGO criteria (area under the curve=0.77 versus 0.78; P=0.02), whereas AKIN discrimination was inferior (area under the curve=0.69 versus RIFLE [P<0.001] versus KDIGO [P<0.001]).
Among hospital patients, KDIGO and RIFLE criteria achieved similar discrimination, but the discrimination of AKIN was inferior.</description><subject>Acute Kidney Injury - blood</subject><subject>Acute Kidney Injury - classification</subject><subject>Acute Kidney Injury - diagnosis</subject><subject>Acute Kidney Injury - mortality</subject><subject>Aged</subject><subject>Area Under Curve</subject><subject>Creatinine - blood</subject><subject>Female</subject><subject>Hospital Mortality</subject><subject>Hospitalization</subject><subject>Humans</subject><subject>Japan - epidemiology</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Original</subject><subject>Predictive Value of Tests</subject><subject>Prognosis</subject><subject>Retrospective Studies</subject><subject>ROC Curve</subject><issn>1555-9041</issn><issn>1555-905X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkUFPAjEQhRujEURvnk1_gIvttkV6MSGoiBi5qPG26bazULJsN-1Cgnf_tzUI6mkmmW_ey5tB6JySbppScaUXVZdIwYik7AC1qRAikUS8H-57TlvoJIQFIZyzVByjVsrFdZ8x3kafb6q0RjXWVdgVuJkDnlhTwQbf2gAqAB4va-_WtprhUelyVeLpqtFuCQFrbxvwVuHCeTyYjLGqDI6jWnkbdnoe4Be0FZ67UNsmmn6AwXU0hqoJp-ioUGWAs5_aQa_3dy_Dh-RpOhoPB0-J5oI0Cc2LAggzhlJFGI8hJC-kJJrKFFhfq9T0YubI9ntEpjTSIi-U0gqYpAZYB91sdetVvgSjo7dXZVZ7u1R-kzlls_-Tys6zmVtnnFDKBY8Cl1sB7V0IHor9LiXZ9zuy4eNztntHxC_--u3h3f3ZFymriaA</recordid><startdate>201405</startdate><enddate>201405</enddate><creator>Fujii, Tomoko</creator><creator>Uchino, Shigehiko</creator><creator>Takinami, Masanori</creator><creator>Bellomo, Rinaldo</creator><general>American Society of Nephrology</general><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>5PM</scope></search><sort><creationdate>201405</creationdate><title>Validation of the Kidney Disease Improving Global Outcomes criteria for AKI and comparison of three criteria in hospitalized patients</title><author>Fujii, Tomoko ; Uchino, Shigehiko ; Takinami, Masanori ; Bellomo, Rinaldo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c450t-1bffe03dd11a03445794f990c192e38ca2d6155450860921ffe5bfaacae391de3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Acute Kidney Injury - blood</topic><topic>Acute Kidney Injury - classification</topic><topic>Acute Kidney Injury - diagnosis</topic><topic>Acute Kidney Injury - mortality</topic><topic>Aged</topic><topic>Area Under Curve</topic><topic>Creatinine - blood</topic><topic>Female</topic><topic>Hospital Mortality</topic><topic>Hospitalization</topic><topic>Humans</topic><topic>Japan - epidemiology</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Original</topic><topic>Predictive Value of Tests</topic><topic>Prognosis</topic><topic>Retrospective Studies</topic><topic>ROC Curve</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fujii, Tomoko</creatorcontrib><creatorcontrib>Uchino, Shigehiko</creatorcontrib><creatorcontrib>Takinami, Masanori</creatorcontrib><creatorcontrib>Bellomo, Rinaldo</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Clinical journal of the American Society of Nephrology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fujii, Tomoko</au><au>Uchino, Shigehiko</au><au>Takinami, Masanori</au><au>Bellomo, Rinaldo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Validation of the Kidney Disease Improving Global Outcomes criteria for AKI and comparison of three criteria in hospitalized patients</atitle><jtitle>Clinical journal of the American Society of Nephrology</jtitle><addtitle>Clin J Am Soc Nephrol</addtitle><date>2014-05</date><risdate>2014</risdate><volume>9</volume><issue>5</issue><spage>848</spage><epage>854</epage><pages>848-854</pages><issn>1555-9041</issn><eissn>1555-905X</eissn><abstract>AKI is a major clinical problem and predictor of outcome in hospitalized patients. In 2013, the Kidney Disease: Improving Global Outcomes (KDIGO) group published the third consensus AKI definition and classification system after the Risk, Injury, Failure, Loss of Kidney Function, and End-Stage Kidney Disease (RIFLE) and the Acute Kidney Injury Network (AKIN) working group systems. It is unclear which system achieves optimal prognostication in hospital patients.
A retrospective observational study using hospital laboratory, admission, and discharge databases was performed that included adult patients admitted to a teaching hospital in Tokyo, Japan between April 1, 2008, and October 31, 2011. AKI occurring during each hospital stay was identified, and discriminative ability of each AKI classification system based on serum creatinine for the prediction of hospital mortality was assessed. The receiver operating characteristic curve, a graphical measure of test performance, and the area under the curve were used to evaluate how classifications preformed on the study population.
In total, 49,518 admissions were studied, of which 11.0% were diagnosed with RIFLE criteria and 11.6% were diagnosed with KDIGO criteria, but only 4.8% were diagnosed with AKIN criteria. Overall hospital mortality was 3.0%. AKI staging and hospital mortality were closely correlated in all systems. Discrimination for hospital mortality was similar for RIFLE and KDIGO criteria (area under the curve=0.77 versus 0.78; P=0.02), whereas AKIN discrimination was inferior (area under the curve=0.69 versus RIFLE [P<0.001] versus KDIGO [P<0.001]).
Among hospital patients, KDIGO and RIFLE criteria achieved similar discrimination, but the discrimination of AKIN was inferior.</abstract><cop>United States</cop><pub>American Society of Nephrology</pub><pmid>24578334</pmid><doi>10.2215/cjn.09530913</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Acute Kidney Injury - blood Acute Kidney Injury - classification Acute Kidney Injury - diagnosis Acute Kidney Injury - mortality Aged Area Under Curve Creatinine - blood Female Hospital Mortality Hospitalization Humans Japan - epidemiology Male Middle Aged Original Predictive Value of Tests Prognosis Retrospective Studies ROC Curve |
title | Validation of the Kidney Disease Improving Global Outcomes criteria for AKI and comparison of three criteria in hospitalized patients |
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