Calderon, Esteban

AbstractBackgroundCenters discard high kidney donor profile index (KDPI) allografts, potentially related to delayed graft function and prolonged hospital use by kidney transplant recipients (KTR). We sought to determine whether high KDPI KTRs have excess health care utilization.MethodsWe conducted a retrospective cohort study from a high‐volume center analyzing KTRs from January 3, 2011 to April 12, 2015 (n = 652). We measured differences in hospital use, emergency visits, and outpatient visits within the first 90 days between low (≤85%) versus high KDPI (>85%) KTRs, as well as long‐term graft function and patient survival.ResultsHigh (n = 107) and low KDPI (n = 545) KTRs had similar length of stay (median = 3 days, P = .66), and readmission rates at 7, 30, and 90 days after surgery (all, P > .05). High KDPI kidneys were not associated with excess utilization of the hospital, emergency services, outpatient transplant clinics, or ambulatory infusion visits on univariate or multivariate analysis (all, P > .05). Low KDPI KTRs had significantly better eGFR at 2 years (Low vs. High KDPI: 60.35 vs. 41.54 ml/min, P < .001), but similar 3‐year patient and graft survival (both, P > .09).ConclusionsHigh and low KDPI KTRs demonstrated similar 90‐day risk‐adjusted health care utilization, which should encourage use of high KDPI kidneys.

AbstractBackgroundOpioids are associated with negative transplant outcomes. We sought to identify patient and center effects on over‐prescribing of opioids (> 200 OME (oral morphine equivalents)).Study designClinical and opioid prescription data (2014–2017) were collected from three academic transplant centers for kidney (KT), liver (LT), and simultaneous liver‐kidney transplant (SLK) patients. Multivariable models were used to identify predictors of opioid over‐prescribing at discharge and the occurrence of refill prescriptions at 90 days.ResultsThree‐thousand seven‐hundred and two patients underwent transplant in the cohort (KT: n = 2358, LT: n = 1221, SLK: n = 123). More than 80% of recipients were over‐prescribed opioids at discharge (Median OME (mOME) = 300 (IQR 225–375). LT and SLK had the largest prescription size (LT mOME 338 (IQR 300–450); SLK mOME 338 (IQR 225–450) and refill rate (LT: 64%, SLK 59%) (all, P < .001). Multivariable analysis indicated that transplant center was a significant predictor of opioid over‐prescription after KT and LT (all, P < .001); older age (in KT) and length of stay (LOS) (in LT) were protective factors (both, P < .05). Refill occurrence was associated with initial prescription size and was reduced by older age and initial LOS (all, P < .05).ConclusionsThe wide variation in opioid prescribing patterns has implications for transplant practice innovation, guideline development, and further study.