Publications by authors named "Daniel Faradji"
Am J Nephrol
February 2024
Article Synopsis
- Acute kidney injury (AKI) is a significant issue in hospitalized patients with sickle cell disease (SCD), leading to higher rates of complications and death, making early detection crucial.
- A machine-learning model was developed using continuous physiological data from 1,178 adult SCD patient encounters to predict AKI, identifying it in 82 patients based on established criteria.
- The model demonstrated high accuracy in predicting AKI onset, achieving up to 91% reliability within 12 hours and 82% within 48 hours, highlighting potential for early intervention and better patient outcomes.
