Wcn24-1483 Applying Artificial Intelligence to Identify Sub-Phenotypes of Acute Kidney Injury in Mexican Patients With Severe Covid-19

Retrospective observational cohort. We included 2,934 patients hospitalized at the National Institute of Respiratory Diseases in Mexico City, between 2020 and 2022 with confirmed diagnoses of COVID-19 and AKI. The research was approved by the institutional ethics committee (C38-23). Data preprocessing was done with 3 steps: validation, standardization, and integration of AKI features. Clinical variables that are likely to impact AKI mortality were integrated by an experienced nephrologist and relevant variables were selected through the use of an algorithmic method of feature selection for regression using neighborhood components, ensuring that ≥ 70% of the values were met.