Cruz LJ,  Monares ZE, Galindo MCA, Frías ARM, Barrón MC, Santana HGP

Language: Spanish
References: 6
Page: 121-124
PDF size: 176.01 Kb.

ABSTRACT

Acute kidney injury (AKI) is one of the most common entities in the intensive care area. It occurs in up to 50% of patients admitted to the intensive care unit (ICU). New tools to detect AKI risk using highly accessible routine information have been developed (AKI predictor). The goal is to determine the performance of the AKI predictor tool to detect renal damage and renal replacement therapy (RRT) requirement in adult patients admitted to the ICU.
Material and methods: Demographic, biochemical, clinical variables and AKI predictor percentages at admission and at 24 hours were retrospectively collected of every patient admitted in an 8 months period, likewise the concept of renal damage was determined, defined as requirement of RRT and/or an increment of creatinine ≥ 0.3 mg/dL in 24 hours and/or urine output ‹ 0.5 mL/kg/h at 48 hours. Receiver operating characteristics curves were developed in order to determine the performance of the AKI predictor to detect renal damage or RRT requirement by separate.
Results: 95 patients were included in the analysis, those with renal damage showed higher illness severity by Sequential Organ Failure Assessment score, higher proportion of these patients presented sepsis, need for vasopressors, mortality and longer UCI stay. AKI predictor tool showed a significant area under the curve (AUC) of 0.76 for renal damage detection, 0.85 for requirement of RRT and calculated at 24 hours an AUC of 0.91 for RRT requirement.
Conclusions: The AKI predictor tool it is shown as a viable option in daily practice for the dynamic evaluation of those patients who will show renal damage progression until its final consequence RRT.

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