A Big Data Approach to Predict NEOnatal Acute Kidney Injury in Newborns expoSed to nephroTOxic Drugs (NeoAKI STOP)

This observational retrospective study aims to learn about the incidence of acute kidney (AKI) injury in newborns in infants exposed to nephrotoxic drugs with a big data approach. The main question it aims to answer are: * Develop a model that can predict the occurrence of AKI in infants admitted to the NICU; * Identify the drug or combination of drugs associated with an increased risk of AKI. The group of infants exposed to drugs will be defined based on exposure for at least 1-day tone one or more therapies commonly used in the NICU. Once the AKI event has occurred, the observation of the trend of daily creatinine and diuresis values will be continued for the period covered by the study.