MODIFIED KDIGO FOR PREDICTING MORTALITY IN ICU PATIENTS RECEIVING CONTINUOUS RENAL REPLACEMENT THERAPY FOR ACUTE RENAL FAILURE: KDIGO-URINARY OUTPUT VS. KDIGO-SERUM CREATININE LEVEL

被引:0
作者
Tulgar, Serkan [1 ]
Cakiroglu, Basri [2 ]
Cevik, Banu Eler [3 ]
Karakilic, Evvah [4 ]
Ates, Nagihan Gozde [5 ]
Gergerli, Ruken [6 ]
Ozdemir, Erman [7 ]
机构
[1] Pendik State Hosp, Dept Anesthesiol, Anesthesiol & Reanimat, Istanbul, Turkey
[2] Hisar Intercontinental Hosp, Dept Urol, Urol, Istanbul, Turkey
[3] Dr Lutfi Kirdar Educ & Res Hosp, Dept Anesthesiol, Anesthesiol & Reanimat, Istanbul, Turkey
[4] Ankara Numune Training & Res Hosp, Dept Emergency, Emergency, Ankara, Turkey
[5] Gumushane State Hosp, Dept Anesthesiol, Anesthesiol & Reanimat, Gumushane, Turkey
[6] Karakocan State Hosp, Dept Anesthesiol, Anesthesiol & Reanimat, Elazig, Turkey
[7] Dr Lutfi Kirdar Educ & Res Hosp, Dept Nephrol, Nephrol, Istanbul, Turkey
来源
ACTA MEDICA MEDITERRANEA | 2016年 / 32卷 / 03期
关键词
KDIGO; Acute Renal Injury; Critical Care; Creatinine; ACUTE KIDNEY INJURY; CRITICALLY-ILL PATIENTS; RIFLE CRITERIA; LATE INITIATION; OUTCOMES; AKIN; NETWORK; DISEASE;
D O I
10.19193/0393-6384_2016_3_88
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction: Acute Renal Injury (ARI) is a constant problem for patients in intensive care and Continuous Renal Replacement Therapy (CRRT) is an ever-more important part of acute renal injury (ARI) treatment. Various criteria have been used for the diagnosis and classification of acute renal failure, including RIFLE (Risk-Injury-Failure-Loss-End stage), AKIN (Acute Kidney Injury Network) and most recently KDIGO (Kidney Disease: Improving Global Outcomes). Many studies have only evaluated urinary output or serum creatinine when categorizing ARI. Our aim was to determine the predictors of mortality in intensive care patients treated with CRRT and to compare mortality with ARI level as determined by KDIGO-Serum Creatinine (KDIGO-SCr) and KDIGO-urinary output (KDIGO-UO) Materials and methods: This retrospective study was performed on intensive care patients receiving CRRT at our institute between January 2010-December 2011. Patient files were reviewed and demographic data, hospitalization time, laboratory findings, CRRT commencement and ARI levels were noted. Results: Seventy patients were included in the study. Mortality was found to be associated with patients' age, Glascow Coma Scale (GCS) score, Acute Physiology and Chronic Health Evaluation (APACHE) II score and adjusted predicted death rate. (p<0,01). Receiver Operating Curve (ROC) area under the curve was statistically significant for determination of mortality using KDIGO-SCR (p<0.01) although the same was not true for KDIGO-UO (p>0.05). Conclusions: We believe that RIFLE, AKIN, KDIGO criteria are each good predictors of mortality. In the case of KDIGO criteria, based solely on serum creatinine or urinary output, KDIGO-SCr was found to be a better predictor of mortality when compared to KDIGO-UO.
引用
收藏
页码:773 / 778
页数:6
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