Abstract: FR-PO0015
A Multimodel Causal Survival Analysis Framework for Individualized Dialysis Decision Support in Patients with Advanced CKD: A Retrospective Cohort Study
Session Information
- Artificial Intelligence: Clinical Prediction, Decision Support, and Digital Kidney Care
October 23, 2026 | Location: Exhibit Hall A, Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: Artificial Intelligence, Digital Health, and Data Science
- 300 Artificial Intelligence, Digital Health, and Data Science
Authors
- Leung, Ka Chun, Tuen Mun Hospital, Hong Kong, Hong Kong
- Yap, Yat Hin Desmond, The University of Hong Kong, Hong Kong, Hong Kong
Background
Mortality benefit from dialysis at the advanced CKD decision point, defined as eGFR ≤10 mL/min/1.73m2, is heterogeneous. We developed PRISM, a 4-zone causal survival framework to estimate individualized benefit and support shared dialysis decisions(1).
Methods
A retrospective cohort in Hong Kong (n = 20184) was included in model development to predict treatment benefit from dialysis initiation within 90 days when eGFR <= 10ml/min/1.73m2. PRISM combined prediction of four models: Random Survival Forest(RSF), Causal Forest(CF), R-Learner(RL), and an all-cause mortality model(ACMM), all were tested in held-out spatial, temporal, and external cohorts. Individual treatment effects(ITEs) in mortality reduction were estimated over 5 years. Mortality risk and model-predicted treatment benefit were mapped to four decision zones.
Results
All models showed significant treatment-effect heterogeneity. Zone validation showed no significant survival advantage from early dialysis in Zone A (low risk/low benefit), or Zone D (high risk/low benefit), while survival benefit was strongest in Zone C, (HR 0.28–0.38, p<0.005) across cohorts.
Conclusion
PRISM provides patient-specific predictions of dialysis benefit. It identified a high-risk subgroup in whom early dialysis showed no significant survival benefit. This subgroup warrants prospective evaluation for conservative kidney management.