This study shows that donor age strongly influences posttransplant outcome, not only in the upper extremes but also for the whole range of donor ages more than or equal to 11 years. Implementation of old-for-old kidney allocation is likely to be safe. Such a policy could reduce waiting time for aged candidates, but it will not necessarily improve overall kidney transplant outcome.
A web-based scoring system provides extended data capture, and mixed-effect statistical modelling reveals the effect that time, image and rater have on the scorings. The selection and training of raters, in combination with an exemplary yardstick, might improve inter- and intra-rater agreement. The development of objective measures based upon digital facial recognition can replace the highly variable subjective human influence on rating the aesthetic outcome.
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