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8%, 60%, and 52% across ascending living donor age categories. Ten-year estimates for death-censored graft survival and survival with graft function were 73%, 76.1%, 76.3%, 74.4%, 71.5%, and 83.7%, 79.5%, 79.7%, 80.6%, 72.4%, respectively. The overall differences in the survival functions for all three end-points were statistically significant (log-rank test, P? http://www.selleckchem.com/products/cobimetinib-gdc-0973-rg7420.html living donor age groups [hazard ratio or HR 1.53 (95% CI: 1.37�C1.70)]. Similarly, there was a 79% increase in the hazard for death-censored graft failure [HR 1.79 (95% CI: 1.55�C2.07)] http://www.selleckchem.com/products/bmn-673.html and a 27% increase in the hazard for death with graft function [HR 1.27 (95% CI: 1.08�C1.50)]. A sensitivity analysis that formally addressed death as a competing risk in graft failure analysis (Table?2) showed results that were nearly identical to the analysis that treated death as a censoring event. The continuous relations between living donor age and total graft failure (a), death-censored graft failure (b), and death with graft function (c) were explored using Cox proportional hazards models adjusted for the recipient, donor, and transplant characteristics shown in Table?1. Living donor age was represented by a fractional polynomial term in the Cox model to flexibly capture nonlinear associations. An increasing curvilinear relation between living donor age and the adjusted log hazard ratio for death-censored graft failure was observed, with a steeper rise beyond 50?years age (Fig.?2). The same cutoff for living donor age was associated with a less pronounced rise in the adjusted log hazard ratio for total graft failure and death with graft function. The associations of living donor/recipient age subgroup combinations and the risk of total graft failure, death-censored http://www.selleck.cn/products/incb024360.html graft failure, and death with graft function are displayed as diamond plots in Fig.?3. The diamond plots depict the effect of two categorical predictors on a continuous outcome [18]. The shaded region in each cell represents the excess risk above a HR of 1 and is standardized to the subgroup that exhibits the lowest HR (i.e., the cell labeled ��1*��). The height, width, and area of the shaded region in each cell are proportional to the HR. Figure?3 reveals that the HRs for total graft failure are most pronounced with increasing living donor age in the youngest and oldest recipient age groups. A similar plot constructed for death-censored graft failure revealed that the youngest recipients were the main drivers of the observed association while a plot of death with graft function showed that the oldest recipients took over this role.