Prognostic utility of RIFLE for acute renal failure in patients with sepsis

Lopes, José António; Jorge, Sofía; Resina, Cristina; Santos, Carlos Pereira dos; Pereira, Álvaro; Neves, J.L.; Antúnes, Francisco; Prata, Mateus Martins

doi:10.1186/cc5722

Cited by 42 publications

(33 citation statements)

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“…Numerous studies have evaluated the RIFLE criteria in various critically ill populations [3,16,[18][19][20][21][22][23][24][25][26]. The incidence of acute kidney injury varied between 11%…”

Section: Incidence and Outcome Of Acute Kidney Injurymentioning

confidence: 99%

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The effects of vasopressin on acute kidney injury in septic shock

et al. 2009

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Kidney injury was present in 464 patients (59.6%) at study entry. In patients in the RIFLE "Risk" category (n=106) vasopressin as compared with norepinephrine was associated with a trend to a lower rate of progression to renal "Failure" or "Loss" categories (20.8% v 39.6% respectively, p=0.03), and a lower rate of use of renal replacement therapy (17.0% v 37.7%, p=0.02). Mortality rates in the "Risk" category patients treated with vasopressin compared to norepinephrine were 30.8% v 54.7%, p=0.01, but this did not reach significance in a multiple logistic regression analysis (OR=0.33, 99%CI 0.10-1.09, p=0.02). The interaction of treatment group and RIFLE category was significant in predicting mortality. Conclusions:Vasopressin may reduce progression to renal failure and mortality in patients at risk of kidney injury who have septic shock.

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Section: Incidence and Outcome Of Acute Kidney Injurymentioning

confidence: 99%

“…The incidence ranges from 15-50% [2][3][4], and is associated with a mortality rate of 30-75% [2][3][4][5]. This variation in reported incidence and outcome is partly due to heterogeneous patients and different definitions of kidney injury used in these studies.…”

Section: Introductionmentioning

confidence: 99%

The effects of vasopressin on acute kidney injury in septic shock

et al. 2009

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“…The RIFLE criteria consider three classes of AKI (risk, injury, and failure) according to the variations in serum creatinine and urine output from baseline values and two outcome classes (loss of kidney function and end-stage kidney disease) ( Table 1). The RIFLE criteria have been validated in various settings and more than 500,000 patients (4,(6)(7)(8)(9)(10)(11)(12)(13).…”

Section: Introductionmentioning

confidence: 99%

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

Fujii

Uchino

Takinami

et al. 2014

Clinical Journal of the American Society of Nephrology

132

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Background and objectives 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.Design, setting, participants, & measurements 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.Results 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]).Conclusion Among hospital patients, KDIGO and RIFLE criteria achieved similar discrimination, but the discrimination of AKIN was inferior.

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“…RIFLE has been used in multiple studies, [2][3][4][5] and it has been shown to be a good tool for the prognostic stratification of the hospitalized patients in general, as well as in the intensive care unit setting. In a previous study, we found that this scoring system predicts mortality in myeloablative autologous and allogeneic hematopoietic cell transplantation (HCT).…”

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confidence: 99%