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.
Duration Of Delayed Graft Function And Its Impact On Graft Outcomes In Deceased Donor Kidney Transplantation Running Head: Impact of Duration of Delayed Graft Function
Abstract Background. There is controversy regarding the impact of delayed graft function (DGF) on kidney transplant outcomes. We hypothesize that the duration of DGF, rather than DGF itself, is associated with long-term kidney graft function.Methods. We analyzed all deceased donor kidney transplants (DDKT) done at our center between 2008 to 2020 with DGF to determine factors associated with DGF duration as well as the impact of DGF duration on 1) acute rejection, BKV infection, progression of fibrosis on protocol biopsy, and death censored graft survival 2) resource utilization, including hospital length of stay and readmissions. DGF duration was assessed at three 14-day intervals: <14 DGF days, 14-27 DGF days, >28 DGF days.Results. There were 1714 DDKT were included, 59.4% (n=1018) had DGF. The median DGF duration was 10 days IQR (6,15). The majority of recipients (95%) had resolution of DGF within 28 days. Donor factors associated with DGF days were longer cold ischemia time, donor on inotropes, older age, donation after circulatory death, higher terminal creatinine, and hypertension. Recipient factors associated with increased DGF duration included male sex, length on dialysis before transplant, and higher body mass index. There were no differences in acute rejection events or interstitial fibrosis progression by 4 months when comparing DGF days. The median length of stay was 3 days. However, readmissions increased with increasing DGF duration. Death-censored graft survival was not associated with the length of DGF except when DGF lasted >28 days. Conclusions. Inferior graft survival was observed only in recipients of DDKT with DGF lasting beyond 28 days. DGF lasting <28 days had no impact on graft survival. Duration of DGF, rather than DGF itself, is associated with graft survival. Trial Registration. Retrospective study approved by Mayo Clinic IRB.
Combining Blood Gene Expression and Cellfree DNA to Diagnose Subclinical Rejection in Kidney Transplant Recipients
Background and objectives Subclinical acute rejection is associated with poor outcomes in kidney transplant recipients. As an alternative to surveillance biopsies, noninvasive screening has been established with a blood gene expression profile. Donor-derived cellfree DNA (cfDNA) has been used to detect rejection in patients with allograft dysfunction but not tested extensively in stable patients. We hypothesized that we could complement noninvasive diagnostic performance for subclinical rejection by combining a donor-derived cfDNA and a gene expression profile assay. Design, setting, participants, & measurements We performed a post hoc analysis of simultaneous blood gene expression profile and donor-derived cfDNA assays in 428 samples paired with surveillance biopsies from 208 subjects enrolled in an observational clinical trial (Clinical Trials in Organ Transplantation-08). Assay results were analyzed as binary variables, and then, their continuous scores were combined using logistic regression. The performance of each assay alone and in combination was compared. Results For diagnosing subclinical rejection, the gene expression profile demonstrated a negative predictive value of 82%, a positive predictive value of 47%, a balanced accuracy of 64%, and an area under the receiver operating curve of 0.75. The donor-derived cfDNA assay showed similar negative predictive value (84%), positive predictive value (56%), balanced accuracy (68%), and area under the receiver operating curve (0.72). When both assays were negative, negative predictive value increased to 88%. When both assays were positive, positive predictive value increased to 81%. Combining assays using multivariable logistic regression, area under the receiver operating curve was 0.81, significantly higher than the gene expression profile ( P <0.001) or donor-derived cfDNA alone ( P =0.006). Notably, when cases were separated on the basis of rejection type, the gene expression profile was significantly better at detecting cellular rejection (area under the receiver operating curve, 0.80 versus 0.62; P =0.001), whereas the donor-derived cfDNA was significantly better at detecting antibody-mediated rejection (area under the receiver operating curve, 0.84 versus 0.71; P =0.003). Conclusions A combination of blood-based biomarkers can improve detection and provide less invasive monitoring for subclinical rejection. In this study, the gene expression profile detected more cellular rejection, whereas donor-derived cfDNA detected more antibody-mediated rejection.
Successful outcomes with transplanting kidneys from deceased donors with acute kidney injuryon temporary renal replacement therapy
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.
Current State of Evidence on Kidney Transplantation: How Fragile Are the Results?
Background. The study aims is to use the fragility index (FI) to examine the strength of evidence of randomized controlled trials (RCTs) published in the last decade on kidney transplantation. Methods. We searched MEDLINE for studies on kidney transplantation. We included the RCTs that compared 2 groups with 1:1 randomization and reported significant P values (<0.05) for a dichotomous outcome and were published in the top 10 transplant journals. We calculated the FI; a calculation used to determine the minimum number of subjects needed to change from a nonevent to an event to make the study results nonsignificant (P ≥ 0.05). Results. Fifty-seven RCTs met our inclusion criteria. The median sample size was 100 participants in each arm, the median number of events was 16 (interquartile range, 8–30) in the intervention group. Among the included trials, 79% were industry-funded, 93% involved medications, and the majority were open label. The median FI was 3 (interquartile range, 1–11). In 43% of the trials, the number of patients reported lost to follow-up was higher than or equal to the FI. Only 4% of the RCTs imputed a value for the missing dichotomous outcome. Furthermore, the median number of subjects who discontinued the trial because of adverse effects was 21, which was greater than the FI in 60% of the RCTs. Conclusions. The arbitrary classification of results into “significant” and “nonsignificant” based on P value <0.05 should perhaps be interpreted with the help of other statistical parameters and FI is one of them.
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.
Early technical pancreas failure in Simultaneous Pancreas–Kidney Recipients does not impact renal allograft outcomes
AbstractEarly pancreas loss in simultaneous pancreas–kidney (SPK) transplants has been associated with longer perioperative recovery and reduced kidney allograft function. We assessed the impact of early pancreas allograft failure on transplant outcomes in a contemporary cohort of SPK patients (n = 218). Early pancreas allograft loss occurred in 12.8% (n = 28) of recipients. Delayed graft function (DGF) was more common (21.4% vs. 7.4%, p = 0.03) in the early pancreas loss group, but there were no differences in hospital length of stay (median 6.5 vs. 7.0, p = 0.22), surgical wound complications (p = 0.12), or rejection episodes occurring in the first year (p = 0.87). Despite differences in DGF, both groups had excellent renal function at 1 year post‐transplant (eGFR 64.1 ± 20.8 vs. 65.8 ± 22.9, p = 0.75). There were no differences in patient (HR 0.58, 95% CI 0.18–1.87, p = 0.26) or kidney allograft survival (HR 0.84, 95% CI 0.23–3.06, p = 0.77). One‐ and 2‐year protocol kidney biopsies were comparable between the groups and showed minimal chronic changes; the early pancreas loss group showed more cv changes at 2 years (p = 0.04). Current data demonstrate good outcomes and excellent kidney allograft function following early pancreas loss.
Added Benefit and Risk of an Additional Biopsy or Targeting With Contrast‐Enhanced Ultrasound for Patients With Renal Transplants
ObjectivesTo determine whether renal transplant diagnoses substantially change when 2 biopsy sites are chosen and whether contrast‐enhanced ultrasound (CEUS) has value for targeting the second site.MethodsWe prospectively enrolled 40 patients undergoing ultrasound‐guided renal transplant biopsy within 2 years of transplant: 20, surveillance; and 20, for cause. A CEUS examination was performed to identify cortical regions with subjectively altered flow. One biopsy was performed at the operator‐preferred (primary) site regardless of CEUS findings. Another biopsy was done at a second location, either targeted to an area in which CEUS perfusion findings differed from the primary site (targeted) or at a random location (secondary) if no other area differed. Specimens were randomly labeled A or B; pathologists were blinded to the CEUS result and biopsy location. Location‐specific CEUS assessments were recorded. Pathologic results were compared, including acute and chronic Banff scores and any new findings from the targeted or secondary biopsy.ResultsForty patients were enrolled between January 2016 and December 2018. No location‐specific pathologic differences correlated with differences in CEUS assessments. The second biopsy provided additional information that changed management in 4 of 40 patients (10.0% [95% confidence interval, 2.8%–23.7%]). Major bleeding complications occurred in 3 of 40 (7.5%) patients.ConclusionsContrast‐enhanced ultrasound targeting was not useful. Major bleeding complications were higher than expected, possibly due to the additional biopsy away from the operator‐preferred location. Obtaining a second renal transplant biopsy from a substantially different area than the initial operator‐preferred location provided additional clinically useful information in 10% of patients.
Outcomes and Health Care Utilization After Early Hospital Dismissal in Kidney Transplantation
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.
Monoclonal Gammopathy of Undetermined Significance (MGUS) Does Not Affect Outcomes in Patients Undergoing Solid Transplants.
Abstract Abstract 2834 Poster Board II-810 Background: Monoclonal gammopathy of undetermined significance (MGUS) results arises from a clonal proliferation of differentiated plasma cells and is a necessary precursor to development of multiple myeloma and some other B cell malignancies. Despite a high incidence in the general population (1-2% of adults in the 6th and 7th decades) and increased relative risk for later malignancy, there are few reports about the clinical course and prognosis of MGUS in long-term immunosuppressed patients. We aimed to evaluate the significance of MGUS in patients undergoing solid transplants in terms of clinical outcomes and rate of transformation to secondary B cell malignancy. Material and methods: We reviewed the medical records of 1493 patients on which kidney (living donor related, living donor-unrelated and deceased donor), liver and pancreatic transplants were performed at Mayo Clinic Arizona, between January 1, 1999 and July 31, 2009 to determine the incidence of MGUS and to further evaluate long-term follow up. At MCA patients are routinely screened using SPEP and for those where an M-spike is detected or suspected immunofixation is required for confirmation. MGUS was defined as previously reported. Patients who had anemia unrelated to their PCD were included. Statistical Methods: Patients were observed until death or, for those still alive, until July 2009. The major goal of the study was to assess the impact of MGUS on transplant outcomes and progression to active myeloma or related disorders. Patients who did not experience progression were censored at the time of last follow-up. Nominal variables were compared using Fisher's exact test. A two-tailed P value less than .05 was considered significant. Results In this series, SPEP was performed in 1199 out of 1593 cases (75%) before transplantation. The most common abnormalities detected by SPEP included a normal pattern (70%), polyclonal pattern (16.8%), hypoalbuminemia (8%), hypogammaglobulinemia (2.4%) and the presence of M spike (2.8%). Immunofixation revealed the presence of a monoclonal immunoglobulin in 34 patients: IgG 30 cases (88%), IgM in 2 (6%) and biclonal disease in 2 (6%). The median age at diagnosis of MGUS was 60 years (range, 46 to 84 years), and included 63.7% of males. Clinical characteristics of the MGUS cases are seen in Table 1. Two MGUS patients were diagnosed only after the transplant was performed (338 and 1082 days respectively). There was no association between post-transplant lymphoproliferative (PTLPD) and MGUS and even when some MGUS patients died (7/34, 20%) death was not associated with progression of the monoclonal clone or development of a PTLPD or other malignancy. MGUS does not impact transplant outcomes. PTLPD disorders developed in 6 cases and none was associated with a MGUS. After a median of 88 months no MGUS patient developed transformation to active myeloma or a related disorder. Overall survival after transplantation was not significantly different among MGUS and Non- MGUS cases (6.48 vs 8.36 years p>0.05). Discussion Despite the frequency of MGUS in the general population there are few studies which have assessed MGUS in solid organ transplant patients. An increased incidence of monoclonal gammopathy in patients with autoimmune disease and in older non-transplant populations suggests that impaired immunity might lead to development of MGUS and later monoclonal B-cell malignancies. Interestingly, we identified two cases where MGUS appeared after transplant. In this series, we report on the incidence and follow/up of MGUS in patients screened before transplantation. The primary outcome for transplant recipients is unaffected by the presence of MGUS and incidence is in accordance with the expected frequency (2.8%). Patients with MGUS do not appear to be at risk for progression due to chronic immunosuppression. Testing for MGUS before transplantation is not cost-efficient and therefore would not be recommended. To our knowledge this is the largest series of MGUS and transplant outcome yet reported. Disclosures: Stewart: Takeda-Millenium, Celgene, Novartis, Amgen: Consultancy; Takeda, Millenium: Research Funding; Genzyme, Celgene, Millenium, Proteolix: Honoraria.