American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons
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SRTR uses data collected by OPTN to calculate metrics such as donation/conversion rate, organ yield, and rate of organs recovered for transplant but not transplanted. In 2015, 1,072,828 death and imminent death referrals were made to Organ Procurement Organizations, of which 21,559 met the definition of eligible (9793) or imminent (11,766) deaths per OPTN policy. ⋯ In 2015, 4370 organs were discarded, including 3157 kidneys, 311 pancreata, 703 livers, 30 hearts, and 214 lungs. These numbers suggest a need to reduce the number of organs discarded.
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Nonstandard exceptions requests (NSERs), in which transplant centers appeal on a case-by-case basis for Pediatric End-Stage Liver Disease/Mayo End-Stage Liver Disease points, have been highly utilized for pediatric liver transplant candidates. We evaluated whether NSE outcomes are associated with waitlist and posttransplant mortality. United Network for Organ Sharing (UNOS) Scientific Registry of Transplant Recipients data on pediatric liver transplant candidates listed in 2009-2014 were analyzed after excluding those granted automatic UNOS exceptions. ⋯ Children with NSER approved had reduced risk of graft loss 3 years posttransplant in univariate but not multivariable analysis (odds ratio 0.73, 95% CI 0.53-1.01, p = 06). Those with NSER denial had a higher risk of posttransplant death than those with no NSER (hazard ratio 2.43, 95% CI 0.99-5.95, p = 0.05, multivariable analysis), but NSER approval did not impact posttransplant death. Further research on NSER utilization in pediatric liver transplant is needed to optimize organ allocation and outcomes for children.
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Liver allocation policies are evaluated by how they impact waitlisted patients, without considering broader outcomes for all patients with end-stage liver disease (ESLD) not on the waitlist. We conducted a retrospective cohort study using two nationally representative databases: HealthCore (2006-2014) and five-state Medicaid (California, Florida, New York, Ohio and Pennsylvania; 2002-2009). United Network for Organ Sharing (UNOS) linkages enabled ascertainment of waitlist- and transplant-related outcomes. ⋯ States' waitlist mortality and ESLD population mortality were not positively correlated: ρ = -0.06, p-value = 0.83 (HealthCore); ρ = -0.87, p-value = 0.05 (Medicaid). Waitlist and ESLD transplant rates were weakly positively correlated in Medicaid (ρ = 0.36, p-value = 0.55) but were positively correlated in HealthCore (ρ = 0.73, p-value = 0.001). Compared to population-based metrics, waitlist-based metrics overestimate geographic disparities in access to liver transplantation.
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Death rates from drug overdoses have nearly doubled since 2003, with over 47 000 deaths in 2014. This is largely attributable to the opioid epidemic. ⋯ Unfortunately, despite the absolute increase in the number of donors who died from a drug overdose, the mean organ yield was significantly lower than in other categories, in part due to concerns about disease transmission. In this paper, we present data on the changes in donation from donors with a drug overdose as a result of the opioid epidemic and discuss the need to educate transplant candidates and their physicians about the low risk of disease transmission compared to the greater risk of dying on a transplant waitlist.
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Review Meta Analysis
Systematic Review and Meta-Analysis of the Impact of Computed Tomography-Assessed Skeletal Muscle Mass on Outcome in Patients Awaiting or Undergoing Liver Transplantation.
Liver transplant outcome has improved considerably as a direct result of optimized surgical and anesthesiological techniques and organ allocation programs. Because there remains a shortage of human organs, strict selection of transplant candidates remains of paramount importance. Recently, computed tomography (CT)-assessed low skeletal muscle mass (i.e. sarcopenia) was identified as a novel prognostic parameter to predict outcome in liver transplant candidates. ⋯ The pooled hazard ratios of sarcopenia were 1.84 (95% confidence interval 1.11-3.05, p = 0.02) and 1.72 (95% confidence interval 0.99-3.00, p = 0.05) for posttransplantation and waiting list mortality, respectively, independent of Model for End-stage Liver Disease score. Less-consistent evidence suggested a higher complication rate, particularly infections, in sarcopenic patients. In conclusion, sarcopenia is an independent predictor for outcome in liver transplantation patients and could be used for risk assessment.