Among VA patients meeting eligibility criteria for liver transplantation, greater distance from a VATC or any transplant center was associated with lower likelihood of being waitlisted, receiving a liver transplant, and greater likelihood of death. The relationship between these findings and centralizing specialized care deserves further investigation.

The Model for End-Stage Liver Disease (MELD) score predicts higher transplant healthcare utilization and costs; however, the independent contribution of functional status towards costs is understudied. The study objective was to evaluate the association between functional status, as measured by Karnofsky Performance Status (KPS), and liver transplant (LT) costs in the first posttransplant year. In a cohort of 598 LT recipients from July 1, 2009 to November 30, 2014, multivariable models assessed associations between KPS and outcomes. LT recipients needing full assistance (KPS 10%-40%) vs being independent (KPS 80%-100%) were more likely to be discharged to a rehabilitation facility after LT (22% vs 3%) and be rehospitalized within the first posttransplant year (78% vs 57%), all P < .001. In adjusted generalized linear models, in addition to MELD (P < .001), factors independently associated with higher 1-year post-LT transplant costs were older age, poor functional status (KPS 10%-40%), living donor LT, pre-LT hemodialysis, and the donor risk index (all P < .001). One-year survival for patients in the top cost decile was 83% vs 93% for the rest of the cohort (log rank P < .001). Functional status is an important determinant of posttransplant resource utilization; therefore, standardized measurements of functional status should be considered to optimize candidate selection and outcomes.

For conditions that the Model for End-Stage Liver Disease (MELD) score does not accurately predict waitlist mortality, transplant centers may apply to regional review boards for exception points. For patients with primary sclerosing cholangitis (PSC) suffering from bacterial cholangitis, consensus recommendations published in 12/2006 are to grant exception points for recurrent cholangitis with ≥2 episodes of bacteremia or ≥1 episode septic complications. Using data provided by the United Network for Organ Sharing, we evaluated PSC patients who applied for exception points due to bacterial cholangitis from 2/27/02 to 3/14/11. Prior to publication of the recommendations, 66.0% of applications were accepted, compared with 80.1% after (P<0.001). Focusing on applications after publication of the recommendations, 311 (74.6%) did not meet the recommended criteria, and 250 (80.4%) of these were approved. Of patients with approved applications, those not meeting consensus criteria were more likely to be transplanted, (77.4% vs. 62.8%, P=0.043), while those with denied applications for approved indications were more liked to die/be removed (44.4% vs. 9.5%, P=0.49). While data are needed to properly identify those patients at highest risk for waitlist mortality, standardized criteria or a centralized review board should be adopted to ensure consistency in the granting of exception points.

This cohort study examines rates of adding patients with acute alcohol-associated hepatitis to the liver transplant waiting list and receipt of transplants by these patients in the US during the COVID-19 pandemic compared with before the pandemic.

The Stanford Integrated Psychosocial Assessment for Transplant (SIPAT) is a standardized psychosocial evaluation tool used in liver transplantation (LT) evaluation. We assessed the impact of the SIPAT score and subdomains on transplant waitlisting decisions and post-LT outcomes including immunosuppression (IS) nonadherence, biopsy-proven rejection, andmortality/ graft failure. We conducted a single-center observational cohort study of 1430 patients evaluated for LT. Patients were divided in 2 groups based on a SIPAT cutoff score of <21 or ≥21 (higher SIPAT scores indicate higher psychosocial risk). Regression models assessed relationships between total SIPAT score and domain scores and waitlisting decisions, IS nonadherence, allograft rejection, and death/graft failure. Elevated total SIPAT and SIPAT domain scores were associated not being added to the waitlist (total SIPAT core ≥21 adjusted odds ratio [aOR], 1.78 [95% confidence interval, CI, 1.36-2.33]; readiness score ≥5 aOR, 2.01 [95% CI, 1.36-2.76]; social support score ≥4aOR, 1.50 [95% CI, 1.15-1.94]; psychopathology score ≥7 aOR, 1.45 [95% CI, 1.07-1.94]; lifestyle/substance abuse score ≥12 aOR, 1.72 [95%CI, 1.23-2.39]) and were more likely to experience IS nonadherence as measured by the tacrolimus coefficient of variation (CoV) (total SIPAT score ≥21 aOR, 2.92 [95% CI, 1.69-5.03]; readiness score ≥5 aOR, 3.26 [95% CI, 1.63-6.52]; psychopathology score ≥7 aOR, 1.88 [95% CI, 1.00-3.50]; lifestyle substance abuse score ≥12 aOR, 3.03 [95% CI, 1.56-5.86]). SIPAT readinessscore ≥5 was associated with biopsyproven allograft rejection (aOR, 2.66; 95% CI, 1.20-5.91). The SIPAT score was independently associated with LT listing decisions and IS nonadherence, and the readiness domain was associated with the risk of allograft rejection. These findings offer insights into higher risk recipients who require additional support before and aftertransplantation.