New Publication in the American Journal of Kidney Diseases

We are excited to share our latest work on prediction models for assessing deceased donor kidneys, which was recently published open access in the American Journal of Kidney Diseases. This paper was co-authored by our Principal Biostatistician Dr Alessandro Gasparini and our CEO and Director of Statistical Methodology Dr Michael Crowther.

The Kidney Donor Profile Index (KDPI) is routinely used in clinical practice for kidney allocation, despite modest predictive accuracy and calibration issues. This study of 75,867 adult kidney transplant recipients found that incorporating recipient characteristics substantially enhanced discrimination and calibration of the risk predictions, while machine learning approaches and longitudinal laboratory donor data didn’t. This approach of including recipients’ data could therefore be explored by transplant policymakers and professional societies committed to improving the kidney transplant allocation system.

Publication details

Potluri VS, Rubin J, Zee J, Ratcliffe SJ, Harhay MO, Abt PL, Vail EA, Parikh CR, Bloom RD, Gasparini A, Crowther M, Goldberg DS, Reese PP. Assessing Deceased Donor Kidneys Through Post-Transplant Survival Prediction Algorithms. American Journal of Kidney Diseases 2025.

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