Risk Prediction for Delayed Allograft Function: Analysis of the Deterioration of Kidney Allograft Function (DeKAF)...

Area of Science:

• Nephrology
• Transplant Surgery
• Medical Informatics

Background:

• Delayed graft function (DGF) complicates kidney transplant management and increases costs.
• Accurate prediction of individual DGF risk is crucial for clinical care and clinical trials.
• Existing calculators, like the Irish calculator (IC), are useful for population risk but not individual risk.

Purpose of the Study:

• To analyze the performance of the Irish calculator (IC) in a prospective cohort.
• To investigate potential improvements in DGF risk prediction.

Main Methods:

• Analysis of the DeKAF prospective cohort including 20.4% incidence of DGF.
• Evaluation of the IC in various kidney transplant populations, including pump-perfused and simultaneous pancreas-kidney (SPK) transplants.
• Investigation of recipient cardiovascular disease as a predictor of DGF.

Main Results:

• The IC's predictive performance was comparable to previous reports for the intended population.
• The IC overestimated DGF risk in pump-perfused kidneys and underestimated it in SPK transplants.
• Recipient cardiovascular disease was significantly associated with DGF, independent of IC-predicted risk.

Conclusions:

• The IC is a valuable tool for population-level DGF prediction but has limitations for individual risk assessment and in expanded transplant criteria.
• Incorporating recipient cardiovascular disease into risk models can enhance DGF prediction accuracy.