Comparative analysis of outcomes in high KDPI spectrum kidney transplants using unsupervised machine learning algorithm

Transplantation with high-KDPI kidneys, though associated with lower survival rates, remains a viable option for expanding the donor pool. With appropriate recipient selection, high-KDPI kidneys can improve patient quality of life, reduce wait times, and lower healthcare costs. Our findings support a more nuanced approach to organ allocation using advanced matching strategies.

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Publication Details

Journal
PLoS ONE
Published
2025-08-26
DOI
https://doi.org/10.1371/journal.pone.0324265
Citations
3
Primary Topic
Renal Transplantation Outcomes and Treatments
Type
article
Field-Weighted Citation Impact
5.96
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article

Comparative analysis of outcomes in high KDPI spectrum kidney transplants using unsupervised machine learning algorithm

Michael Lioudis, Rezà F. Saidi, Isabella M. Vlassis, Mahmoudreza Moein et al.
3 citations
PLoS ONE
Renal Transplantation Outcomes and Treatments
5.96
article

Comparative analysis of outcomes in high KDPI spectrum kidney transplants using unsupervised machine learning algorithm

Michael Lioudis, Rezà F. Saidi, Isabella M. Vlassis, Mahmoudreza Moein, Alireza Golkarieh
article en
3 citations

Abstract

Transplantation with high-KDPI kidneys, though associated with lower survival rates, remains a viable option for expanding the donor pool. With appropriate recipient selection, high-KDPI kidneys can improve patient quality of life, reduce wait times, and lower healthcare costs. Our findings support a more nuanced approach to organ allocation using advanced matching strategies.

PLoS ONEVol. 20(8)
Oakland University (US), SUNY Upstate Medical University (US), Michigan United (US)
Openalex Percentile: Top 4%
Renal Transplantation Outcomes and Treatments
5.96
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