Publications by authors named "Marta Casadevall"

Article Synopsis
  • - A new predictive model was developed to assess long-term kidney function impairment after partial nephrectomy (PN), using data from patients who underwent minimally invasive surgery between 2005 and 2022.
  • - A machine-learning approach, specifically the classification and regression tree (CART) method, identified key predictors of chronic kidney disease (CKD) stage changes in 381 patients over an average follow-up of 69 months, with 27% experiencing CKD progression.
  • - The model classified patients into four clusters based on their CKD progression risk, demonstrating that initial CKD stage and overall health status (ACCI) are crucial in determining long-term outcomes, potentially guiding more attentive patient monitoring post-surgery.
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