University of Bristol and UK Renal Registry

ILD84

Acute Kidney Injury (AKI), defined as a sudden decline in renal function, is associated with significant illness in children including increased hospital admission and risk of death. Early detection and intervention may help improve outcomes. Currently, little information exists regarding the epidemiology of AKI in English children. We also do not know much about how AKI is recognised and whether there are patient or disease features that make identifying AKI more or less likely. This will be a descriptive study of children aged less than 18 years who received an AKI alert between 2017 and who had a hospital episode relating to their AKI episode. Using a data linkage to Hospital Episode Statistics (HES, the electronic health record for England), we will see how many of these children have been coded for AKI within the electronic health record. We will look to identify clinical and patient features associated with coding frequency using univariable and multivariable logistic regression analyses, to understand when AKI is reported within the electronic record. This will be a large cohort of English children for whom we have data on AKI alerts during a hospital admission. We expect this project will help us identify features positively and negatively associated with AKI recognition in children, which will allow us to understand where education and intervention to promote AKI recognition is needed.