Delayed Graft Function in Simultaneous Liver Kidney Transplantation

Successful use of intra-operative continuous renal replacement therapy in pediatric liver transplant recipients: Single center case series

BACKGROUND

Acute kidney injury (AKI) is common in pediatric patients undergoing liver transplantation (LT), with an incidence 17%-55%. Fluid, metabolic, and acid-base aberrancies are often pronounced pre-operatively and further worsened by events during LT, making intra-operative continuous renal replacement therapy (CRRT) an option for critically ill LT recipients.

METHODS

All pediatric LT performed at our institution who underwent intra-operative CRRT between January 2017 and August 2021 were included. Patient demographics and clinical data including graft outcomes, intra-operative findings, and timing and indications for CRRT were collected from the electronic medical record.

RESULTS

CRRT was used in nine of the 76 (12%) pediatric LT performed at our center during the study period. Ages at LT ranged from 39 to 17.7 years. Recipients requiring CRRT were more likely to have acute liver failure, status 1A, and higher calculated MELD/PELD scores. CRRT was initiated pre-transplant in three recipients and continued post-transplant in six recipients. Median duration of CRRT was two (range 0-14) days. Indications included hyperammonemia (3/9), acidosis (3/9), fluid overload (6/9), and hyperkalemia (2/9). The CRRT group had a significantly longer post-transplant intensive care unit length of stay in comparison to those that did not require CRRT (median 6, range 3-40 days vs. median 3, range 0-121 days, p = .02], but there were no significant differences in reoperations, hospital length of stay, or recipient or graft survival.

CONCLUSIONS

We demonstrate that CRRT can be safely performed in pediatric LT recipients, including young infants through adolescents.

Predictors of Kidney Delayed Graft Function and Its Prognostic Impact following Combined Liver-Kidney Transplantation: A Recent Single-Center Experience

Combined liver−kidney transplantation (CLKT) improves patient survival among liver transplant recipients with renal dysfunction. However, kidney delayed graft function (kDGF) still represents a common and challenging complication that can negatively impact clinical outcomes. This retrospective study analyzed the incidence, potential risk factors, and prognostic impact of kDGF development following CLKT in a recently transplanted cohort. Specifically, 115 consecutive CLKT recipients who were transplanted at our center between January 2015 and February 2021 were studied. All transplanted kidneys received hypothermic pulsatile machine perfusion (HPMP) prior to transplant. The primary outcome was kDGF development. Secondary outcomes included the combined incidence and severity of developing postoperative complications; development of postoperative infections; biopsy-proven acute rejection (BPAR); renal function at 1, 3, 6, and 12 months post-transplant; and death-censored graft and patient survival. kDGF was observed in 37.4% (43/115) of patients. Multivariable analysis of kDGF revealed the following independent predictors: preoperative dialysis (p = 0.0003), lower recipient BMI (p = 0.006), older donor age (p = 0.003), utilization of DCD donors (p = 0.007), and longer delay of kidney transplantation after liver transplantation (p = 0.0003). With a median follow-up of 36.7 months post-transplant, kDGF was associated with a significantly increased risk of developing more severe postoperative complication(s) (p < 0.000001), poorer renal function (particularly at 1 month post-transplant, p < 0.000001), and worse death-censored graft (p = 0.00004) and patient survival (p = 0.0002). kDGF may be responsible for remarkable negative effects on immediate and potentially longer-term clinical outcomes after CLKT. Understanding the important risk factors for kDGF development in CLKT may better guide recipient and donor selection(s) and improve clinical decisions in this increasing group of transplant recipients.

Trends and Outcomes of Hypothermic Machine Perfusion Preservation of Kidney Allografts in Simultaneous Liver and Kidney Transplantation in the United States

Optimal kidney graft outcomes after simultaneous liver-kidney (SLK) transplant may be threatened by the increased cold ischemia time and hemodynamic perturbations of dual organ transplantation. Hypothermic machine perfusion (MP) of kidney allografts may mitigate these effects. We analyzed U.S. trends and renal outcomes of hypothermic non-oxygenated MP vs. static cold storage (CS) of kidney grafts from 6,689 SLK transplants performed between 2005 and 2020 using the United Network for Organ Sharing database. Outcomes included delayed graft function (DGF), primary non-function (PNF), and kidney graft survival (GS). Overall, 17.2% of kidney allografts were placed on MP. Kidney cold ischemia time was longer in the MP group (median 12.8 vs. 10.0 h; p < 0.001). Nationally, MP utilization in SLK increased from <3% in 2005 to >25% by 2019. Center preference was the primary determinant of whether a graft underwent MP vs. CS (intraclass correlation coefficient 65.0%). MP reduced DGF (adjusted OR 0.74; p = 0.008), but not PNF (p = 0.637). Improved GS with MP was only observed with Kidney Donor Profile Index <20% (HR 0.71; p = 0.030). Kidney MP has increased significantly in SLK in the U.S. in a heterogeneous manner and with variable short-term benefits. Additional studies are needed to determine the ideal utilization for MP in SLK.

Risk factors and outcomes for delayed kidney graft function in simultaneous heart and kidney transplant recipients: A UNOS/OPTN database analysis

There are no prior studies assessing the risk factors and outcomes for kidney delayed graft function (K-DGF) in simultaneous heart and kidney (SHK) transplant recipients. Using the OPTN/UNOS database, we sought to identify risk factors associated with the development of K-DGF in this unique population, as well as outcomes associated with K-DGF. A total of 1161 SHK transplanted between 1998 and 2018 were included in the analysis, of which 311 (27%) were in the K-DGF (+) group and 850 in the K-DGF (-) group. In the multivariable analysis, history of pretransplant dialysis (OR: 3.95; 95% CI: 2.94 to 5.29; p < .001) was significantly associated with the development of K-DGF, as was donor death from cerebrovascular accident and longer cold ischemia time of either organ. SHK recipients with K-DGF had increased mortality (HR: 1.99; 95% CI: 1.52 to 2.60; p < .001) and death censored kidney graft failure (HR: 3.51; 95% CI: 2.29 to 5.36; p < .001) in the multivariable analysis. Similar outcomes were obtained when limiting our study to 2008-2018. Similar to kidney-only recipients, K-DGF in SHK recipients is associated with worse outcomes. Careful matching of recipients and donors, as well as peri-operative management, may help reduce the risk of K-DGF and the associated detrimental effects.

Current and Evolving Indications for Simultaneous Liver Kidney Transplantation

This review will discuss the etiologies of kidney disease in liver transplant candidates, provide a historical background of the prior evolution of simultaneous liver-kidney (SLK) transplant indications, discuss the current indications for SLK including Organ Procurement and Transplantation Network policies and Model for End Stage Liver Disease exception points, as well as provide an overview of the safety net kidney transplant policy. Finally, the authors explore unanswered questions and future research needed in SLK transplantation.

Personalized prediction of delayed graft function for recipients of deceased donor kidney transplants with machine learning

Machine learning (ML) has shown its potential to improve patient care over the last decade. In organ transplantation, delayed graft function (DGF) remains a major concern in deceased donor kidney transplantation (DDKT). To this end, we harnessed ML to build personalized prognostic models to predict DGF. Registry data were obtained on adult DDKT recipients for model development (n = 55,044) and validation (n = 6176). Incidence rates of DGF were 25.1% and 26.3% for the development and validation sets, respectively. Twenty-six predictors were identified via recursive feature elimination with random forest. Five widely-used ML algorithms-logistic regression (LR), elastic net, random forest, artificial neural network (ANN), and extreme gradient boosting (XGB) were trained and compared with a baseline LR model fitted with previously identified risk factors. The new ML models, particularly ANN with the area under the receiver operating characteristic curve (ROC-AUC) of 0.732 and XGB with ROC-AUC of 0.735, exhibited superior performance to the baseline model (ROC-AUC = 0.705). This study demonstrates the use of ML as a viable strategy to enable personalized risk quantification for medical applications. If successfully implemented, our models may aid in both risk quantification for DGF prevention clinical trials and personalized clinical decision making.

A Single-Center Assessment of Delayed Graft Function in Recipients of Simultaneous Liver and Kidney Transplant

Background:

The effects of delayed graft function on long-term kidney allograft outcomes are poorly defined among simultaneous liver and kidney transplant recipients.

Methods:

We analyzed data of all simultaneous liver and kidney recipients transplanted at the University of Wisconsin between 2010 and 2017. Risk factors for the development of delayed graft function, kidney graft failure, and patient mortality were outcomes of interest.

Results:

There were a total of 60 simultaneous liver and kidney recipients; 28 (47%) had delayed graft function. After adjustment for multiple variables, we found that pretransplant dialysis >6 weeks (hazard ratio [HR] = 5.6, 95% CI: 1.23-25.59, P = .02), pretransplant albumin <3 g/dL (HR = 5.75, 95% CI: 1.76-16.94, P = .003), and presence of pretransplant diabetes (HR = 2.5, 95% CI: 0.97-4.77, P = .05) were significantly associated with delayed graft function. Multivariate analysis showed that pretransplant albumin <3 (HR = 4.86, 95% CI: 1.07-22.02, P = .02) was associated with a higher risk of all-cause kidney allograft failure, whereas the duration of delayed graft function (HR = 1.07 per day, 95% CI: 1.01-1.14, P = .01) was associated with a higher risk of death-censored kidney allograft failure. The presence of delayed graft function was not associated with all-cause or death-censored kidney or liver allograft failure. Similarly, the presence of delayed graft function was not associated with patient mortality.

Conclusion:

The incidence of delayed graft function was high in simultaneous liver and kidney recipients. However, with appropriate management, delayed graft function may not have a negative impact on patient or kidney allograft survival.

Impact of Recipient Age in Combined Liver-Kidney Transplantation: Caution Is Needed for Patients ≥70 Years

Elderly recipients (≥70 y) account for 2.6% of all liver transplants (LTs) in the United States and have similar outcomes as younger recipients. Although the rate of elderly recipients in combined liver-kidney transplant (CLKT) is similar, limited data are available on how elderly recipients perform after CLKT.

METHODS

We have previously shown excellent outcomes in CLKT using delayed kidney transplant (Indiana) Approach (mean kidney cold ischemia time = 53 ± 14 h). Between 2007 and 2018, 98 CLKTs were performed using the Indiana Approach at Indiana University (IU) and the data were retrospectively analyzed. Recipients were subgrouped based on their age: 18-45 (n = 16), 46-59 (n = 34), 60-69 (n = 40), and ≥70 years (n = 8).

RESULTS

Overall, more elderly patients received LT at IU (5.2%) when compared nationally (2.6%). The rate of elderly recipients in CLKT at IU was 8.2% (versus 2% Scientific Registry of Transplant Recipient). Recipient and donor characteristics were comparable between all age groups except recipient age and duration of dialysis. Patient survival at 1 and 3 years was similar among younger age groups, whereas patient survival was significantly lower in elderly recipients at 1 (60%) and 3 years (40%) (P = 0.0077). Control analyses (replicating Scientific Registry of Transplant Recipient's survival stratification: 18-45, 46-64, ≥65 y) showed similar patient survival in all age groups.

CONCLUSIONS

Although LT can be safely performed in elderly recipients, extreme caution is needed in CLKT due to the magnitude of operation.