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September 10, 2025Nephrology Dialysis TransplantationOpen Access

Predicting mortality and short-term outcomes of continuous kidney replacement therapies in neonates and infants

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Authors

ADAnna DejaKDKamil Rafał DejaACAndrea Cappoli

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Overview

Artificial intelligence evaluates mortality and kidney outcomes in neonates and infants undergoing CKRT, suggesting key clinical factors.

Key Points

  • The study found the overall mortality rate was 47.3% among neonates and infants receiving CKRT, indicating a significant health risk.
  • The XGBoost model for mortality prediction achieved 59.53% accuracy, highlighting the potential of AI in clinical settings.
  • Lower urine output at CKRT initiation was linked to increased mortality risk, alongside other adverse kidney outcomes.
  • Identifying key predictors such as primary kidney disease and SCr levels can improve management of AKI in this population.

Cite This Study

Deja et al. (2025) studied this question.

synapsesocial.com/papers/68c24364b210217d647a6adbhttps://doi.org/10.1093/ndt/gfaf173
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