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Zhi-Yong Peng

renal angina index (RAI) has been developed to identify which critically ill patients would be at the greatest risk of development of AKI.[ 7 , 8 ] Renal angina is a model that uses patient demographic risk factors and clinical context in addition to early signs of injury such as oliguria or fluid overload to develop a practice to identify patients at high risk for AKI. The identification should heighten the vigilance in monitoring of kidney function and give a signal to the care providers to use tactics to improve renal outcomes by increasing kidney perfusion and