Abstract

Abstract Background and Aims Kidney transplantation (KT) is the optimal treatment for older patients in need for kidney replacement therapy, with favorable outcomes both on survival, and health-related quality of life (HRQoL). Given the current organ scarcity, allocation of transplants should prioritize patients who are expected to benefit most from KT and identifying reliable predictors of post-transplant HRQoL outcomes is essential to optimize the selection process. Method Patients ≥ 65 years, who were enlisted for KT between January 2013 and November 2016 at the Norwegian national transplant center, were asked to participate. Self-reported HRQoL was assessed using the Kidney-Disease Quality of Life Short Form version 1.3 (KDQOL-SF) survey. Pre-transplant comorbidity was assessed by the Liu comorbidity index (LCI). Linear mixed-effect models were used to detect HRQoL changes over time (pre-KT, at -6, -12 and -36 months post-KT), and to identify pre-transplant predictors of post-transplant outcomes. Results By November 2020, 220 (76%) out of 289 enrolled participants, were transplanted. The mean age at KT was 71.8 (4.1) years, 154 (70%) were males, 57 (26%) were transplanted pre-emptively and 30 (13.6%) received a transplant from a living donor. Longer dialysis vintage was independently associated with impaired physical function post-transplantion (Figure 1). Pre-transplant LCI score ≥ 7 consistently predicted poorer HRQoL outcomes at baseline and after 3-years, compared with LCI score < 7 (Figure 2). At 3- years post-transplant, increasing LCI score was lineary associated with decreasing SF-36 scores. Recipients on dialysis for ≥ 1 year with LCI ≥ 7 experienced the worst outcomes, with a marked and sustained post-transplant physical deterioration (Figure 3). Conclusion Older wait-listed candidates either on dialysis for >1 year or with elevated pre-transplant LCI are at high risk for impaired HRQoL post-transplant outcomes and should be re-evaluated with respect to transplantability on a regular basis. The identification of criteria to optimize the selection of older transplant candidates should be the scope of future studies

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