Association of pretransplant and posttransplant program ratings with candidate mortality after listing.

The Scientific Registry of Transplant Recipients (SRTR) is responsible for understandable reporting of program metrics, including transplant rate, waitlist mortality, and posttransplant outcomes. SRTR developed five-tier systems for each metric to improve accessibility for the public. We investigated the associations of the five-tier assignments at listing with all-cause candidate mortality after listing, for candidates listed July 12, 2011-June 16, 2014. Transplant rate evaluations with one additional tier were associated with lower mortality after listing in kidney (hazard ratio [HR], 0.93 0.950.97 ), liver (HR, 0.87 0.900.92 ), and heart (HR, 0.92 0.961.00 ) transplantation. For lung transplant patients, mortality after listing was highest at programs with above- and below-average transplant rates and lowest at programs with average transplant rates, suggesting that aggressive acceptance behavior may not always provide a survival benefit. Waitlist mortality evaluations with one additional tier were associated with lower mortality after listing in kidney (HR, 0.94 0.960.99 ) transplantation, and posttransplant graft survival evaluations with one additional tier were associated with lower mortality after listing in lung (HR, 0.90 0.940.98 ) transplantation. Transplant rate typically had the strongest association with mortality after listing, but the strength of associations differed by organ.

Wey A ，Gustafson SK ，Salkowski N ，Kasiske BL ，Skeans M ，Schaffhausen CR ，Israni AK ，Snyder JJ ... -  《-》

Comparing Scientific Registry of Transplant Recipients posttransplant program-specific outcome ratings at listing with subsequent recipient outcomes after transplant.

To improve accessibility of program-specific reports to patients, the Scientific Registry of Transplant Recipients released a 5-tier system for categorizing 1-year posttransplant program evaluations. Whether this system predicts subsequent posttransplant outcomes at the time patients are waitlisted has been questioned. We investigated the association of tier at listing and the corresponding continuous score used for tier assignment, which ranges from 0 (poor outcomes) to 1 (good outcomes), with eventual 1-year posttransplant graft survival for candidates listed between July 12, 2011, and June 16, 2014, who underwent transplant before December 31, 2016. One additional tier at listing was associated with better 1-year posttransplant outcomes in liver (hazard ratio [HR], 0.93; 95% confidence interval [CI], 0.89-0.97) and lung transplant (HR, 0.90; 95% CI, 0.84-0.97) but not kidney (HR, 0.96; 95% CI, 0.92-1.01) or heart transplant (HR, 1.02; 95% CI, 0.93-1.10). In liver and lung transplant, longer time between listing and transplant was associated with stronger protective effects for high-tier programs. In kidney, liver, and lung transplant, posttransplant evaluations at listing had nonlinear associations with eventual posttransplant outcomes: relatively flat for 5-tier scores <0.5 and decreasing for scores >0.5. After adjustment for measured recipient and donor risk factors, posttransplant evaluations at listing predicted differences in eventual outcomes in liver and lung transplant, providing useful information to patients.

Wey A ，Salkowski N ，Kasiske BL ，Skeans M ，Schaffhausen CR ，Gustafson SK ，Israni AK ，Snyder JJ ... -  《-》

Functional status at listing predicts waitlist and posttransplant mortality in pediatric liver transplant candidates.

Functional impairment is associated with mortality in adult liver transplant candidates. This has not been studied in pediatric liver transplant candidates. United Network for Organ Sharing Standard Transplant Analysis and Research files were used to investigate functional status, waitlist mortality, and posttransplant outcomes in children younger than 18 years who were waitlisted in 2006-2016 for primary liver transplant. Functional status was categorized, by using the Lansky Play-Performance Scale (LPPS), as normal/good (80-100), moderately impaired (50-70), or severely impaired (10-40) by center assessment. Among 3250 children not listed as Status 1A, 62% had an LPPS score of 80-100, 25% had a score of 50-70, and 13% had a score of 10-40 at listing. Children with an LPPS score of 10-40 at listing were more likely to die while on the waitlist (standardized hazard ratio 1.85, 95% confidence interval 1.09-3.13, P = .02) in analyses adjusting for being on a ventilator, breathing support, or dialysis and other illness severity measures. For the 2565 children transplanted, an LPPS score of 10-40 at listing drastically increased mortality risk by 1 year posttransplant (hazard ratio 5.77, 95% confidence interval 3.05-10.91, P < .0005). LPPS scores of 10-40 and 50-70 both increased the risk of graft loss by 1 year. Functional status is an independent predictor of waitlist and posttransplant mortality in pediatric liver transplant candidates. Validated tools for the assessment of functional status in these children would improve our ability to predict mortality risk-and to appropriately prioritize them for transplant.

Perito ER ，Bucuvalas J ，Lai JC 《-》

Transplant Center Variability in Organ Offer Acceptance and Mortality Among US Patients on the Heart Transplant Waitlist.

Choi AY ，Mulvihill MS ，Lee HJ ，Zhao C ，Kuchibhatla M ，Schroder JN ，Patel CB ，Granger CB ，Hartwig MG ... -  《-》

Variables of importance in the Scientific Registry of Transplant Recipients database predictive of heart transplant waitlist mortality.

The prelisting variables essential for creating an accurate heart transplant allocation score based on survival are unknown. To identify these we studied mortality of adults on the active heart transplant waiting list in the Scientific Registry of Transplant Recipients database from January 1, 2004 to August 31, 2015. There were 33 069 candidates awaiting heart transplantation: 7681 UNOS Status 1A, 13 027 Status 1B, and 12 361 Status 2. During a median waitlist follow-up of 4.3 months, 5514 candidates died. Variables of importance for waitlist mortality were identified by machine learning using Random Survival Forests. Strong correlates predicting survival were estimated glomerular filtration rate (eGFR), serum albumin, extracorporeal membrane oxygenation, ventricular assist device, mechanical ventilation, peak oxygen capacity, hemodynamics, inotrope support, and type of heart disease with less predictive variables including antiarrhythmic agents, history of stroke, vascular disease, prior malignancy, and prior tobacco use. Complex interactions were identified such as an additive risk in mortality based on renal function and serum albumin, and sex-differences in mortality when eGFR >40 mL/min/1.73 m. Most predictive variables for waitlist mortality are in the current tiered allocation system except for eGFR and serum albumin which have an additive risk and complex interactions.

Hsich EM ，Thuita L ，McNamara DM ，Rogers JG ，Valapour M ，Goldberg LR ，Yancy CW ，Blackstone EH ，Ishwaran H ，Transplantation of HEarts to MaxImize Survival (THEMIS) Investigators ... -  《-》