AbstractBackground and objectivesWe aimed to determine outcomes with transplanting kidneys from deceased donors with severe acute kidney injury requiring acute renal replacement therapy (RRT).Materials and methodsA total of 172 recipients received a kidney from donors with acute kidney injury stage 3 (AKIN3) requiring RRT. We compared the study group to 528 recipients who received a kidney from donors with AKIN stage 3 not on RRT and 463 recipients who received < 85% Kidney Donor Profile Index (KDPI) AKIN stage 0 kidney.ResultsThe study group donors were younger compared to the 2 control groups. Despite higher DGF in the study group, the length of hospital stay and acute rejection were similar. Death censored graft survival (96% AKIN3‐RRT vs. 97%AKIN3 no RRT vs. 96% KDPI < 85% AKIN0,P = 0.26) and patient survival with functioning graft at 1 year (95% across all groups,P = 0.402) were similar. The estimated glomerular filtration rate were similar across the 3 groups after first month. Interstitial fibrosis and tubular atrophy score ≥ 2 on protocol biopsy at time 0, 4 and 12 months were similar. Primary nonfunction was rare and associated with high KDPI.ConclusionsTransplanting selected kidneys from deceased donors with AKIN3 requiring RRT is safe and has good outcomes.
Variation in opioid prescribing patterns after abdominal transplant surgery
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.
Transplant outcomes using kidneys from high KDPI acute kidney injury donors
AbstractKidney transplant (KT) outcomes from high kidney donor profile index (KDPI ≥85%) donors with acute kidney injury (AKI) remain underreported. KT from 172 high KDPI Acute Kidney Injury Network (AKIN) stage 0‐1 donors and 76 high KDPI AKIN stage 2‐3 donors from a single center were retrospectively assessed. The AKIN 2‐3 cohort had more delayed graft function (71% vs. 37%, p < .001). At one year, there were no differences in the estimated glomerular filtration rate (44 ± 17 vs. 46 ± 18, p = .42) or fibrosis on protocol biopsy (ci, p = .85). Donor terminal creatinine (p = .59) and length of delayed graft function (p = .39) did not impact one‐year eGFR. There were more primary nonfunction (PNF) events in the high KDPI AKIN 2‐3 group (5.3% vs. 0.6%, p = .02). With a median follow‐up of 3.8 years, one‐year death‐censored graft failure was 3.5% for AKIN 0‐1 and 14.5% for AKIN 2‐3 (HR 2.40, 95% CI 1.24‐4.63, p = .01). Although AKIN stage 2‐3 high KDPI kidneys had comparable one‐year eGFR to AKIN stage 0‐1 high KDPI kidneys, there were more PNF occurrences and one‐year death‐censored graft survival was reduced. Given these findings, additional precautions should be undertaken when assessing and utilizing kidneys from severe AKI high KDPI donors.
OUTCOMES OF NON-LIVER SOLID ORGAN TRANSPLANTATION USING HEPATITIS C POSITIVE DONORS TO HEPATITIS C NEGATIVE RECIPIENTS: A MULTICENTER EXPERIENCE
Objective: To understand whether reduced lengths of stay after kidney transplantation were associated with excess health care utilization in the first 90 days or long-term graft and patient survival outcomes. Background: Reducing length of stay after kidney transplant has an unknown effect on post-transplant health care utilization. We studied this association in a cohort of 1001 consecutive kidney transplants. Methods: We retrospectively reviewed 2011–2015 data from a prospectively-maintained kidney transplant database from a single center. Results: A total of 1001 patients underwent kidney transplant, and were dismissed from the hospital in 3 groups: Early [≤2 days] (19.8%), Normal [3–7 days] (79.4%) and Late [>7 days] (3.8%). 34.8% of patients had living donor transplants (Early 51%, Normal 31.4%, Late 18.4%, P < 0.001). Early patients had lower delayed graft function rates (Early 19.2%, Normal 32%, Late73.7%, P = 0.001). By the hospital dismissal group, there were no differences in readmissions or emergency room visits at 30 or 90 days. Glomerular filtration rate at 12 months and rates of biopsy-proven acute rejection were also similar between groups. The timing of hospital dismissal was not associated with the risk-adjusted likelihood of readmission. Early and Normal patients had similar graft and patient survival. Late dismissal patients, who had higher rates of cardiovascular complications, had significantly higher late mortality versus Normal dismissal patients in unadjusted and risk-adjusted models. Conclusion: Dismissing patients from the hospital 2 days after kidney transplant is safe, feasible, and improves value. It is not associated with excess health care utilization or worse short or long-term transplant outcomes.
Acute Kidney Injury Patterns Following Transplantation of Steatotic Liver Allografts
Background: Steatotic grafts are increasingly being used for liver transplant (LT); however, the impact of graft steatosis on renal function has not been well described. Methods: A total of 511 allografts from Mayo Clinic Arizona and Minnesota were assessed. We evaluated post-LT acute kidney injury (AKI) patterns, perioperative variables and one-year outcomes for patients receiving moderately steatotic allografts (>30% macrovesicular steatosis, n = 40) and compared them to non-steatotic graft recipients. Results: Post-LT AKI occurred in 52.5% of steatotic graft recipients versus 16.7% in non-steatotic recipients (p < 0.001). Ten percent of steatotic graft recipients required new dialysis post-LT (p = 0.003). At five years, there were no differences for AKI vs. no AKI patient survival (HR 0.95, 95% CI 0.08–10.6, p = 0.95) or allograft survival (HR 1.73, 95% CI 0.23–13.23, p = 0.59) for those using steatotic grafts. Lipopeliosis on biopsy was common in those who developed AKI (61.0% vs. 31.6%, p = 0.04), particularly when the Model for End-Stage Liver Disease (MELD) was ≥20 (88.9%; p = 0.04). Lipopeliosis was a predictor of post-LT AKI (OR 6.0, 95% CI 1.1–34.6, p = 0.04). Conclusion: One-year outcomes for moderately steatotic grafts are satisfactory; however, a higher percentage of post-LT AKI and initiation of dialysis can be expected. Presence of lipopeliosis on biopsy appears to be predictive of post-LT AKI.
Robot Assisted Surgery of the Vena Cava: Perioperative Outcomes, Technique, and Lessons Learned at The Mayo Clinic
Introduction: This study aims to describe robot assisted surgery of the inferior vena cava (IVC) by assessing techniques utilized, perioperative outcomes, complications, and long-term patency of the IVC. Methods: A retrospective review was performed on all robotic surgeries involving dissection and repair of the IVC at our institution. Patient characteristics, operative reports, and follow-up visits were analyzed. Preoperative and postoperative imaging was independently reviewed by a single radiologist to determine changes in IVC diameter. Complications were analyzed according to early (<30 days) vs late (>30 days). Results: Thirty-four patients underwent robot assisted surgery of the vena cava from 2008 to 2018. Twenty-six cases were performed for urologic malignancy, four were performed for IVC filter explantation, and four renal vein transpositions were performed for nutcracker syndrome. Twenty-four of the 26 patients with urologic malignancy underwent radical nephrectomy with IVC tumor thrombectomy. Three cases were converted to open. Median length of stay was two nights, and mean estimated blood loss (EBL) was 375 mL. There were five complications, ranging from Clavien-Dindo grade II–IIIa, four of which were early complications. No patients required return to the operating room, and there were no perioperative mortalities. IVC diameter was reduced by 41% on axial diameter, with no patients experiencing compromised venous return. Conclusion: Robot assisted surgery offers the advantage of minimally invasive surgery with the ability to apply open surgical principles. In our series, an experienced multidisciplinary team approach yielded low EBL, short length of stay, and low complication rates.
Discovery and Validation of a Biomarker Model (PRESERVE) Predictive of Renal Outcomes After Liver Transplantation
Background and Aims A high proportion of patients develop chronic kidney disease (CKD) after liver transplantation (LT). We aimed to develop clinical/protein models to predict future glomerular filtration rate (GFR) deterioration in this population. Approach and Results In independent multicenter discovery (CTOT14) and single‐center validation (BUMC) cohorts, we analyzed kidney injury proteins in serum/plasma samples at month 3 after LT in recipients with preserved GFR who demonstrated subsequent GFR deterioration versus preservation by year 1 and year 5 in the BUMC cohort. In CTOT14, we also examined correlations between serial protein levels and GFR over the first year. A month 3 predictive model was constructed from clinical and protein level variables using the CTOT14 cohort (n = 60). Levels of β‐2 microglobulin and CD40 antigen and presence of hepatitis C virus (HCV) infection predicted early (year 1) GFR deterioration (area under the curve [AUC], 0.814). We observed excellent validation of this model (AUC, 0.801) in the BUMC cohort (n = 50) who had both early and late (year 5) GFR deterioration. At an optimal threshold, the model had the following performance characteristics in CTOT14 and BUMC, respectively: accuracy (0.75, 0.8), sensitivity (0.71, 0.67), specificity (0.78, 0.88), positive predictive value (0.74, 0.75), and negative predictive value (0.76, 0.82). In the serial CTOT14 analysis, several proteins, including β‐2 microglobulin and CD40, correlated with GFR changes over the first year. Conclusions We have validated a clinical/protein model (PRESERVE) that early after LT can predict future renal deterioration versus preservation with high accuracy. This model may help select recipients at higher risk for subsequent CKD for early, proactive renal sparing strategies.
Long-term Outcomes Following Kidney Transplantation From Donors With Acute Kidney Injury
Background. Kidneys from deceased donors with acute kidney injury (AKI) are more likely to be discarded because of concerns for poor outcomes after transplantation. The aim of this study was to determine the long-term outcomes of a large cohort of patients transplanted utilizing kidneys from deceased donors with AKI. Methods. All patients receiving a deceased donor kidney transplant during a recent 10-year period were included. Acute Kidney Injury Network (AKIN) criteria were used to classify the donors. Donor kidneys with >10% cortical necrosis or more than mild chronic changes were discarded. The primary outcome is the combined endpoint of death or graft loss. Results. The cohort included 1313 kidneys from 974 donors, AKIN stage 0 (no AKI) in 319 (24.3%), stage 1 in 370 (28.2%), stage 2 in 177 (13.5), and stage 3 in 447 (34.0%). Estimated 5-year graft survival (95% confidence interval) was 78.5% (72.5-84.5), 77.8% (72.8-82.1), 83.8% (76.8-88.9), and 84.6% (79.5-88.7) for AKIN donor stage 0 to 3, respectively (log-rank P = 0.10). After adjusting for baseline differences, the hazard ratio (95% confidence interval) for the combined endpoint for the AKIN stage 3 group (relative to AKIN 0 group) was 0.70 (0.45-1.10). Delayed graft function occurred in 44.6% and 75.4% of AKIN 2 and 3 groups, as compared to 33.9% and 33.5% in AKIN 0 and 1 ( P < 0.001). Conclusion. We conclude that transplanting selected kidneys from deceased donors with AKI with preimplantation biopsy showing <10% cortical necrosis and no more than mild chronic changes have excellent long-term graft survival.