Bedside Score Predicts Successful Dialysis Discontinuation in ICU Patients

Severe acute kidney injury frequently necessitates renal replacement therapy (RRT) in the intensive care unit, but managing the trajectory of this life-saving intervention remains a complex clinical challenge [1]. While extensive research has focused on the optimal timing for initiating RRT and the comparative efficacy of different dialysis modalities, clear guidelines on when to safely stop therapy are lacking [2, 3, 4]. Premature discontinuation can lead to dangerous metabolic derangements and fluid overload, whereas unnecessarily prolonging RRT exposes critically ill patients to ongoing risks of bleeding, infection, and hemodynamic instability [5, 4]. To address this gap in post-discontinuation management, researchers evaluated routine clinical predictors to help physicians estimate the probability of sustained RRT liberation after an initial trial of stopping therapy.