AI Article Synopsis
- Researchers created a predictive tool to estimate kidney transplant survival right at the time of transplantation, based on a study of 5,078 transplant cases.
- The study identified key factors affecting graft loss and patient survival, including the age of both donor and recipient, the type of donation, and previous transplant histories.
- A mobile app was developed to help with organ allocation decisions by providing survival estimates at the moment of transplant.
Article Abstract
(1) Background: We report on the development of a predictive tool that can estimate kidney transplant survival at time zero. (2) Methods: This was an observational, retrospective study including 5078 transplants. Death-censored graft and patient survivals were calculated. (3) Results: Graft loss was associated with donor age (hazard ratio [HR], 1.021, 95% confidence interval [CI] 1.018-1.024, < 0.001), uncontrolled donation after circulatory death (DCD) (HR 1.576, 95% CI 1.241-2.047, < 0.001) and controlled DCD (HR 1.567, 95% CI 1.372-1.812, < 0.001), panel reactive antibody percentage (HR 1.009, 95% CI 1.007-1.011, < 0.001), and previous transplants (HR 1.494, 95% CI 1.367-1.634, < 0.001). Patient survival was associated with recipient age (> 60 years, HR 5.507, 95% CI 4.524-6.704, < 0.001 vs. < 40 years), donor age (HR 1.019, 95% CI 1.016-1.023, < 0.001), dialysis vintage (HR 1.0000263, 95% CI 1.000225-1.000301, < 0.01), and male sex (HR 1.229, 95% CI 1.135-1.332, < 0.001). The C-statistics for graft and patient survival were 0.666 (95% CI: 0.646, 0.686) and 0.726 (95% CI: 0.710-0.742), respectively. (4) Conclusions: We developed a mobile app to estimate survival at time zero, which can guide decisions for organ allocation.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10932177 | PMC |
| http://dx.doi.org/10.3390/jcm13051270 | DOI Listing |
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