In the pediatric population, acute kidney injury (AKI) is commonly observed in critically ill patients. At this time, there are no standardized care pathways that begin at identifying patients at risk for developing AKI and progress through to early recognition and treatment. Through previous work, the investigators have developed, tested, and integrated an AKI risk-stratification/clinical recognition tool (RAI) and a urine biomarker (NGAL) to try to identify patients at risk vs. not at-risk for developing AKI. However, these factors alone have yet to be integrated into clinical decision support to optimize AKI therapies and patient outcomes. The furosemide stress test (FST), previously described in adults, may be a good predictor for the patients who need acute dialysis for AKI versus those that can be managed medically.~Through this study, the investigators will be following a cohort of patients admitted to the PICU who are identified as being at risk for developing AKI through RAI and NGAL results. The aim is to standardize the FST in this population, as well as determine the accuracy of the RAI-NGAL-FST clinical decision tool in predicting patients who become fluid overloaded and develop AKI.
This study follows a group of patients admitted to the PICU who are identified as being at risk for developing acute kidney injury. The investigators will use risk-stratification, biomarker testing, and a functional assessment to predict patients who will become fluid overloaded and develop acute kidney injury.