Machine learning-based prediction of circuit clotting during pediatric continuous kidney replacement therapy sessions.
Journal:
Pediatric nephrology (Berlin, Germany)
Published Date:
Aug 4, 2025
Abstract
BACKGROUND: Continuous kidney replacement therapy (CKRT) is commonly used for managing acute kidney injury (AKI) in critically ill pediatric patients. However, unexpected circuit clotting remains a frequent complication, resulting in therapy interruptions, blood loss, and increased clinical workload. Timely prediction of clotting could enhance circuit management and patient outcomes.
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