Biomarker-guided Intervention to Prevent Acute Kidney Injury

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In earlier studies, interventions to treat acute kidney injury (AKI) were started after a functional damage of the kidneys was already established. However, none of the interventions had an effect in treating AKI. The Kidney Disease: Improving Global Outcomes (KDIGO) clinical practice guidelines rec...

In earlier studies, interventions to treat acute kidney injury (AKI) were started after a functional damage of the kidneys was already established. However, none of the interventions had an effect in treating AKI. The Kidney Disease: Improving Global Outcomes (KDIGO) clinical practice guidelines recommend implementing different measures in patients at high risk for AKI, but the evidence that the implementation of the bundle (consisting of optimization of hemodynamics and perfusion pressure, avoidance of nephrotoxins and hyperglycemia) can prevent AKI is very weak. Biomarkers can be used to identify patients at high risk for AKI after surgery (prior to the development of AKI). The cell-cycle arrest biomarkers, Tissue Inhibitor of Metalloproteinases-2 (TIMP-2) and Insulin-like growth factor-binding protein 7 (IGFBP7), have been demonstrated to have the best predictive performance for the development of AKI after surgery as compared to other biomarkers. In addition, these biomarkers are not influenced by different co-morbidities or other clinical situations. In the BigpAK1 trial, which was a single-center trial, the authors investigated whether a biomarker-guided implementation of the KDIGO guidelines can reduce the occurrence of AKI in patients undergoing major non-cardiac surgery. The results demonstrate that the implementation of the KDIGO bundle in high risk patients for AKI ([TIMP-2]*[IGFBP7] between 0.3 and 2) significantly reduced the occurrence of AKI compared to the standard of care group. However, this was a single center trial which needs to be confirmed in a large trial. Therefore, based on these data, a definitive, prospective, randomized controlled, multicenter study including 1302 surgical patients at high risk for AKI identified by [TIMP-2]*[IGFBP7] will be performed. The goal of this trial is to investigate the effect of the implementation of the KDIGO bundle in patients at high risk for AKI after major non-cardiac surgery compared to standard of care in the same patient population. This biomarker-guided approach (individualized therapy) enables to treat patients at high risk for AKI prior to a functional damage of the kidneys.

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