Dataset Information

Simultaneous Liver Kidney Transplant in Elderly Patients With Chronic Kidney Disease: Is There an Appropriate Upper Age Cutoff?

ABSTRACT:

Background

The aging of liver transplant (LT) recipients, the weighting of the model for end-stage liver disease score, and the increased prevalence of nonalcoholic steatohepatitis has led to an increased number of older LT recipients with pre-LT chronic kidney disease (CKD). There are limited data on the impact of increased recipient age on post-simultaneous liver-kidney (SLK) transplant outcomes among patients with CKD, leading some centers to employ subjective age cutoffs for potential SLK recipients.

Methods

We evaluated United Network for Organ Sharing data of adult SLK recipients from February 27, 2002, to December 31, 2018, restricted to recipients with ≥90 days of waiting time and CKD (estimated glomerular filtration rate persistently <60 mL/min/1.73 m2 for ≥90 d using the modification of diet in renal disease-4 equation). We fit mixed-effects Cox regression models (center as random effect) to evaluate the association of recipient age and patient survival.

Results

Among 3146 SLK recipients with CKD, nearly two-thirds were 50-64 years of age, while 465 (14.8%) and 93 (3.0%) were 65-69 years and ≥70 years, respectively. Compared with nondiabetic SLK recipients aged 50-59 years, SLK recipients ≥70 years of age without diabetes (hazard ratio, 1.97; 95% CI, 1.20-3.23; P = 0.007) and with diabetes (hazard ratio, 1.90; 95% CI, 1.16-3.09; P = 0.01) had higher mortality compared with the reference group. In absolute terms, SLK recipients ≥70 years of age had 25% lower patient survival at 5 years compared to recipients aged 40-49 years.

Conclusions

Although careful selection is required of any SLK recipient, especially those with increased comorbidities, there are no objective data to justify a specific age cutoff <70 years among potential SLK recipients with CKD.

SUBMITTER: Goldberg DS

PROVIDER: S-EPMC8721602 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundRenal replacement therapy (RRT) is a public health problem worldwide. Kidney transplantation (KT) is the best treatment for elderly patients' longevity and quality of life.ObjectivesThe primary endpoint was to compare elderly versus younger KT recipients by analyzing the risk covariables involved in worsening renal function, proteinuria, graft loss, and death one year after KT. The secondary endpoint was to create a robot based on logistic regression capable of predicting the likelihood that elderly recipients will develop worse renal function one year after KT.MethodUnicentric retrospective analysis of a cohort was performed with individuals aged ≥60 and <60 years old. We analysed medical records of KT recipients from January to December 2017, with a follow-up time of one year after KT. We used multivariable logistic regression to estimate odds ratios for elderly vs younger recipients, controlled for demographic, clinical, laboratory, data pre- and post-KT, and death.Results18 elderly and 100 younger KT recipients were included. Pretransplant immune variables were similar between two groups. No significant differences (P > 0.05) between groups were observed after KT on laboratory data means and for the prevalences of diabetes mellitus, hypertension, acute rejection, cytomegalovirus, polyomavirus, and urinary infections. One year after KT, the creatinine clearance was higher (P = 0.006) in youngers (70.9 ± 25.2 mL/min/1.73 m2) versus elderlies (53.3 ± 21.1 mL/min/1.73 m2). There was no difference in death outcome comparison. Multivariable analysis among covariables predisposing chronic kidney disease epidemiology collaboration (CKD-EPI) equation <60 mL/min/1.73 m2 presented a statistical significance for age ≥60 years (P = 0.01) and reduction in serum haemoglobin (P = 0.03). The model presented goodness-fit in the evaluation of artificial intelligence metrics (precision: 90%; sensitivity: 71%; and F 1 score: 0.79).ConclusionRenal function in elderly KT recipients was lower than in younger KT recipients. However, patients aged ≥60 years maintained enough renal function to remain off dialysis. Moreover, a learning machine application built a robot (Elderly KTbot) to predict in the elderly populations the likelihood of worse renal function one year after KT.