Dynamic mortality predictions from serum albumin in dialysis patients using robust joint models with competing risks.

ABSTRACT: This study introduces advanced Joint Models (JM) to enhance mortality prediction in dialysis patients, addressing the inadequacies of existing models which lack clinical precision. We analyzed the relationship between albumin trajectories and mortality in 314 peritoneal dialysis patients over eight years, using training and validation datasets. We developed 12 JM, incorporating seven baseline risk factors; 10 models addressed individual and within-patient trajectory outliers, and six models included the competing events of hemodialysis transfer and kidney transplantation. These were also applied to a hemodialysis cohort of 315 patients. Findings showed a consistent albumin hazard ratio for death across all JM, ranging from 1.22 to 1.28, confirmed by two simulation studies. JM software opti

SUBMITTER: Damgov I 

PROVIDER: S-EPMC12508142 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature