Validation of the Kidney Disease Improving Global Outcomes Criteria for AKI and Comparison of Three Criteria in Hospitalized Patients

被引:112
作者
Fujii, Tomoko [1 ]
Uchino, Shigehiko [1 ]
Takinami, Masanori [1 ]
Bellomo, Rinaldo [2 ]
机构
[1] Jikei Univ, Intens Care Unit, Dept Anesthesiol, Sch Med, Tokyo 1058471, Japan
[2] Austin Hosp, Dept Intens Care, Melbourne, Vic 3084, Australia
来源
CLINICAL JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY | 2014年 / 9卷 / 05期
关键词
acute renal failure; hospitalization; mortality; ACUTE-RENAL-FAILURE; CRITICALLY-ILL PATIENTS; INTENSIVE-CARE-UNIT; RIFLE CRITERIA; INJURY NETWORK; CARDIAC-SURGERY; MORTALITY; DEFINITIONS; CREATININE; KDIGO;
D O I
10.2215/CJN.09530913
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Background and objectivesAKI 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.Design, setting, participants, & measurementsA 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.ResultsIn 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]).ConclusionAmong hospital patients, KDIGO and RIFLE criteria achieved similar discrimination, but the discrimination of AKIN was inferior.
引用
收藏
页码:848 / 854
页数:7
相关论文
共 32 条
[1]   RIFLE criteria for acute kidney injury in aortic arch surgery [J].
Arnaoutakis, George J. ;
Bihorac, Azra ;
Martin, Tomas D. ;
Hess, Philip J., Jr. ;
Klodell, Charles T. ;
Ejaz, A. Ahsan ;
Garvan, Cyndi ;
Tribble, Curtis G. ;
Beaver, Thomas M. .
JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY, 2007, 134 (06) :1554-1561
[2]   A comparison of the RIFLE and AKIN criteria for acute kidney injury in critically ill patients [J].
Bagshaw, Sean M. ;
George, Carol ;
Bellomo, Rinaldo .
NEPHROLOGY DIALYSIS TRANSPLANTATION, 2008, 23 (05) :1569-1574
[3]   Acute kidney injury after cardiac surgery according to Risk/Injury/Failure/Loss/End-stage, Acute Kidney Injury Network, and Kidney Disease: Improving Global Outcomes classifications [J].
Bastin, Anthony J. ;
Ostermann, Marlies ;
Slack, Andrew J. ;
Diller, Gerhard-Paul ;
Finney, Simon J. ;
Evans, Timothy W. .
JOURNAL OF CRITICAL CARE, 2013, 28 (04) :389-396
[4]   Acute renal failure - definition, outcome measures, animal models, fluid therapy and information technology needs: the Second International Consensus Conference of the Acute Dialysis Quality Initiative (ADQI) Group [J].
Bellomo, R ;
Ronco, C ;
Kellum, JA ;
Mehta, RL ;
Palevsky, P .
CRITICAL CARE, 2004, 8 (04) :R204-R212
[5]   RIFLE CLASSIFICATION FOR PREDICTING IN-HOSPITAL MORTALITY IN CRITICALLY ILL SEPSIS PATIENTS [J].
Chen, Yung-Chang ;
Jenq, Chang-Chyi ;
Tian, Ya-Chung ;
Chang, Ming-Yang ;
Lin, Chan-Yu ;
Chang, Chih-Cheng ;
Lin, Horng-Chyuan ;
Fang, Ji-Tseng ;
Yang, Chih-Wei ;
Lin, Shu-Min .
SHOCK, 2009, 31 (02) :139-145
[6]   Acute kidney injury, mortality, length of stay, and costs in hospitalized patients [J].
Chertow, GM ;
Burdick, E ;
Honour, M ;
Bonventre, JV ;
Bates, DW .
JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2005, 16 (11) :3365-3370
[7]   North East Italian Prospective Hospital Renal Outcome Survey on Acute Kidney Injury (NEiPHROS-AKI): Targeting the problem with the RIFLE criteria [J].
Cruz, Dinna N. ;
Bolgan, Irene ;
Perazella, Mark A. ;
Bonello, Monica ;
de Cal, Massimo ;
Corradi, Valentina ;
Polanco, Natalia ;
Ocampo, Catalina ;
Nalesso, Federico ;
Piccinni, Pasquale ;
Ronco, Claudio .
CLINICAL JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2007, 2 (03) :418-425
[8]   Foreword [J].
Eckardt, Kai-Uwe ;
Kasiske, Bertram L. .
KIDNEY INTERNATIONAL SUPPLEMENTS, 2012, 2 (01) :7-7
[9]   Clinical accuracy of RIFLE and Acute Kidney Injury Network (AKIN) criteria for acute kidney injury in patients undergoing cardiac surgery [J].
Englberger, Lars ;
Suri, Rakesh M. ;
Li, Zhuo ;
Casey, Edward T. ;
Daly, Richard C. ;
Dearani, Joseph A. ;
Schaff, Hartzell V. .
CRITICAL CARE, 2011, 15 (01)
[10]   RIFLE criteria for acute kidney injury are associated with hospital mortality in critically ill patients: a cohort analysis [J].
Hoste, Eric A. J. ;
Clermont, Gilles ;
Kersten, Alexander ;
Venkataraman, Ramesh ;
Angus, Derek C. ;
De Bacquer, Dirk ;
Kellum, John A. .
CRITICAL CARE, 2006, 10 (03)