With advances in immunosuppression, graft and patient outcomes after kidney transplantation have improved considerably. As a result, long-term complications of transplantation, such as urologic malignancies, have become increasingly important. Kidney transplant recipients, for example, have a 7-fold risk of renal cell carcinoma (RCC) and 3-fold risk of urothelial carcinoma (UC) compared with the general population. While extrapolation of data from the general population suggest that routine cancer screening in transplant recipients would allow for earlier diagnosis and management of these potentially lethal malignancies, currently there is no consensus for posttransplantation RCC or UC screening as supporting data are limited. Further understanding of risk factors, presentation, optimal management of, and screening for urologic malignancies in kidney transplant patients is warranted, and as such, this review will focus on the incidence, surveillance, and treatment of urologic malignancies in kidney transplant recipients.
Cirrhotic liver disease is an important cause of peri-operative morbidity and mortality in general surgical patients. Early recognition and optimization of liver dysfunction is imperative before any elective surgery. Patients with MELD <12 or classified as Child A have a higher morbidity and mortality than matched controls without liver dysfunction, but are generally safe for elective procedures with appropriate patient education. Patients with MELD >20 or classified as Child C should undergo transplantation before any elective procedure given mortality exceeds 40%. Laparoscopic procedures are feasible and safe in cirrhotic patients.
Background. Transplantation of hepatitis C viremic (HCV+) deceased donor kidney transplants (DDKT) into aviremic (HCV-) recipients is a strategy to increase organ utilization. However, there are concerns around inferior recipient outcomes due to delayed initiation of direct-acting antiviral (DAA) therapy and sustained HCV replication when implemented outside of a research setting. Methods. This was a retrospective single-center matched cohort study of DDKT recipients of HCV+ donors (cases) who were matched 1:1 to recipients of HCV-donors (comparators) by age, gender, race, presence of diabetes, kidney donor profile index, and calculated panel-reactive antibody. Data were analyzed using summary statistics, t-tests, and chi-square tests for between-group comparisons, and linear mixed-effects models for longitudinal data. Results. Each group consisted of 50 recipients with no significant differences in baseline characteristics. The 6-mo longitudinal trajectory of serum creatinine and estimated glomerular filtration rate did not differ between groups. All recipients had similar rates of acute rejection and readmissions (all P > 0.05). One case lost the allograft 151 d posttransplant because of acute rejection, and 1 comparator died on postoperative day 7 from cardiac arrest. HCV+ recipients initiated DAA on average 29 ± 11 d posttransplant. Ninety-eight percent achieved sustained virologic response at 4 and 12 wks with the first course of therapy; 1 patient had persistent HCV infection and was cured with a second course of DAA. Conclusions. Aviremic recipients of HCV+ DDKT with delayed DAA initiation posttransplant had similar short-term outcomes compared with matched recipient comparators of HCV-donors.
Despite the divergent disease biology of cholangiocarcinoma (CCA) and hepatocellular carcinoma (HCC), wait‐list prioritization is identical for both diagnoses. We compared wait‐list and posttransplant outcomes between CCA and HCC liver transplantation patients with Model for End‐Stage Liver Disease exceptions using Scientific Registry of Transplant Recipients data. The 408 CCA candidates listed between 2003 and mid‐2017 were matched to 2 HCC cohorts by listing date (±2 months, n = 816) and by Organ Procurement and Transplantation Network (OPTN) region and date (±6 months, n = 408). Cumulative incidence competing risk regression examined the effects of diagnosis, OPTN region, and center‐level CCA listing volume on wait‐list removal due to death/being too ill (dropout). Cox models evaluated the effects of diagnosis, OPTN region, center‐level CCA volume, and waiting time on graft failure among deceased donor liver transplantation (DDLT) recipients. After adjusting for OPTN region and CCA listing volume (all P ≥ 0.07), both HCC cohorts had a reduced likelihood of wait‐list dropout compared with CCA candidates (HCC with period matching only: subdistribution hazard ratio [SHR] = 0.63; 95% CI, 0.43‐0.93; P = 0.02 and HCC with OPTN region and period matching: SHR = 0.60; 95% CI, 0.41‐0.87; P = 0.007). The cumulative incidence rates of wait‐list dropout at 6 and 12 months were 13.2% (95% CI, 10.0%‐17.0%) and 23.9% (95% CI, 20.0%‐29.0%) for CCA candidates, 7.3% (95% CI, 5.0%‐10.0%) and 12.7% (95% CI, 10.0%‐17.0%) for HCC candidates with region and listing date matching, and 7.1% (95% CI, 5.0%‐9.0%) and 12.6% (95% CI, 10.0%‐15.0%) for HCC candidates with listing date matching only. Additionally, HCC DDLT recipients had a 57% reduced risk of graft failure compared with CCA recipients (P < 0.001). Waiting time was unrelated to graft failure (P = 0.57), and there was no waiting time by diagnosis cohort interaction effect (P = 0.47). When identically prioritized, LT candidates with CCA have increased wait‐list dropout compared with those with HCC. More granular data are necessary to discern ways to mitigate this wait‐list disadvantage and improve survival for patients with CCA.
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