Cost and Use Trends of Endomyocardial Biopsy in Heart Transplant Patients: A 4-Year Claims Data Analysis.

BACKGROUND: This study evaluated patterns of utilization, complications, and costs of endomyocardial biopsies (EMB) in heart transplant patients. METHODS: The IBM Treatment Pathways tool was used to analyze claims data selected from IBM's MarketScan de-identified Health Insurance Portability and Accountability Act (HIPAA)-compliant dataset. Differences in EMB paid amounts and utilization patterns were assessed for commercial payers and Medicare (2016-2019). The type, frequency, and overall cost of complications of the EMB procedure in these patients were also evaluated. RESULTS: A total of 8,170 records (6,385 commercial payers and 1,785 Medicare) of heart transplant patients with evidence of EMB procedures performed between 2016 and 2019 were identified in the database. In 2019, the median paid amount for an outpatient EMB in a heart transplant patient was US $7,918 (commercial) and US $2,980 (Medicare). Heart transplant patients received between 4.6 and 6.8 (median; Medicare, commercial) EMBs the first year after the transplant. Approximately 25% of EMB procedures were associated with complications. In 2019, the total median cost of EMB complications per patient was US $9,049. CONCLUSIONS: Analysis showed that the paid amount for the EMB procedure increased by almost 25% from 2016 to 2019 for commercial payers. Given the high frequency of complications after the EMB procedure and the associated cost of the complications, it is estimated that the median paid amounts are closer to US $10,000 per patient per EMB. Given the number of EMBs provided, the associated risks, and the paid amount trends, non-invasive alternatives to EMB should be considered for the surveillance of heart transplant patients.

A Simple Molecular Tool for the Assessment of Kidney Transplant Biopsies.

BACKGROUND: The Banff Classification for Allograft Pathology recommendations for the diagnosis of kidney transplant rejection includes molecular assessment of the transplant biopsy. However, implementation of molecular tools in clinical practice is still limited, partly due to the required expertise and financial investment. The reverse transcriptase multiplex ligation-dependent probe amplification (RT-MLPA) assay is a simple, rapid, and inexpensive assay that permits simultaneous evaluation of a restricted gene panel using paraffin-embedded tissue blocks. The aim of this study was to develop and validate a RT-MLPA assay for diagnosis and classification of rejection. METHODS: A retrospective cohort of 220 kidney transplant biopsies from two centers, which included 52 antibody-mediated rejection, 51 T-cell-mediated rejection, and 117 no-rejection controls, was assessed. A 17-gene panel was identified on the basis of relevant pathophysiological pathways. A support vector machine classifier was developed. A subset of 109 biopsies was also assessed using the Nanostring Banff Human Organ Transplant panel to compare the two assays. RESULTS: The support vector machine classifier train and test accuracy scores were 0.84 and 0.83, respectively. In the test cohort, the F1 score for antibody-mediated rejection, T-cell-mediated rejection, and control were 0.88, 0.86, and 0.69, respectively. Using receiver-operating characteristic curves, the area under the curve for class predictions was 0.96, 0.89, and 0.91, respectively, with a weighted average at 0.94. Classifiers' performances were highest for antibody-mediated rejection diagnosis with 94% correct predictions, compared with 88% correct predictions for control biopsies and 60% for T-cell-mediated rejection biopsies. Gene expression levels assessed by RT-MLPA and Nanostring were correlated: r = 0.68, P < 0.001. Equivalent gene expression profiles were obtained with both assays in 81% of the samples. CONCLUSIONS: The 17-gene panel RT-MLPA assay, developed here for formalin-fixed paraffin-embedded kidney transplant biopsies, classified kidney transplant rejection with an overall accurate prediction ratio of 0.83. PODCAST: This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/CJASN/2023_04_10_CJN10100822.mp3.

Visual interstitial fibrosis assessment as continuous variable in protocol renal transplant biopsies.

AIMS: In current renal transplant pathology practice, interstitial fibrosis is visually assessed in categories according to the Banff classification. As this has a moderate reproducibility, which is little ameliorated by morphometric analysis, we investigated whether visual renal fibrosis assessment is feasible on a continuous scale, i.e. as a percentage of affected area of the cortex. METHODS AND RESULTS: Protocol renal biopsies taken at transplantation (n = 125), three (n = 73) and 12 months (n = 88) after transplantation were visually scored in categories (Banff) and percentages for interstitial fibrosis (ci). Interobserver variation (ICC and weighted κ) was assessed, and morphometric analysis on Sirius red-stained sections was performed. Correlations between the different methods and their association with donor age and eGFR 1 and 5 years post-transplant were analysed using Pearson's or Spearman's rho. Interobserver agreement was equivalent for Banff and %ci (κ = 0.713 versus ICC = 0.792), and for Banff IF/TA and %IF/TA (κ = 0.615 versus ICC = 0.743). Both Banff and %ci were associated with Sirius red morphometry in 3 and 12 months. With all three methods, a significant correlation was found between donor age and fibrosis in the implantation biopsy and between fibrosis in the 12 months' biopsy and eGFR at 1 and 5 years (eGFR at 1 year: Sirius red ρ = 0.487, %ci ρ = 0.393, Banff ρ = 0.413, all P < 0.01, eGFR at 5 years: Sirius red ρ = 0.392, %ci ρ = 0.333, Banff ρ = 0.435, all P < 0.01). CONCLUSION: Interstitial fibrosis assessment on a continuous scale can be used next to scoring in categories according to the Banff classification in protocol renal transplant biopsies.

Data-Driven Chronic Allograft Phenotypes: A Novel and Validated Complement for Histologic Assessment of Kidney Transplant Biopsies.

BACKGROUND: No validated system currently exists to realistically characterize the chronic pathology of kidney transplants that represents the dynamic disease process and spectrum of disease severity. We sought to develop and validate a tool to describe chronicity and severity of renal allograft disease and integrate it with the evaluation of disease activity. METHODS: The training cohort included 3549 kidney transplant biopsies from an observational cohort of 937 recipients. We reweighted the chronic histologic lesions according to their time-dependent association with graft failure, and performed consensus k-means clustering analysis. Total chronicity was calculated as the sum of the weighted chronic lesion scores, scaled to the unit interval. RESULTS: We identified four chronic clusters associated with graft outcome, based on the proportion of ambiguous clustering. The two clusters with the worst survival outcome were determined by interstitial fibrosis and tubular atrophy (IFTA) and by transplant glomerulopathy. The chronic clusters partially overlapped with the existing Banff IFTA classification (adjusted Rand index, 0.35) and were distributed independently of the acute lesions. Total chronicity strongly associated with graft failure (hazard ratio [HR], 8.33; 95% confidence interval [CI], 5.94 to 10.88; P<0.001), independent of the total activity scores (HR, 5.01; 95% CI, 2.83 to 7.00; P<0.001). These results were validated on an external cohort of 4031 biopsies from 2054 kidney transplant recipients. CONCLUSIONS: The evaluation of total chronicity provides information on kidney transplant pathology that complements the estimation of disease activity from acute lesion scores. Use of the data-driven algorithm used in this study, called RejectClass, may provide a holistic and quantitative assessment of kidney transplant injury phenotypes and severity.

Early surveillance biopsy utilization and management of pediatric renal allograft acute T cell-mediated rejection in Canadian centers: Observations from the PROBE multicenter cohort study.

BACKGROUND: Early TCMR surveillance with protocol kidney biopsy is used differentially among pediatric kidney transplant centers. Little has been reported about actual center-based differences, and this variability may influence TCMR ascertainment, treatment, and monitoring more broadly. METHODS: Data from the PROBE multicenter study were used to identify patients from centers conducting ESB or LSIB. ESB was defined as >50% of patients having at least 1 surveillance biopsy in the first 9 months. Patients were compared for number of biopsies, rejection episodes, treatment, and follow-up monitoring. RESULTS: A total of 261 biopsies were performed on 97 patients over 1-2 years of follow-up. A total of 228 (87%) of biopsies were performed in ESB centers. Compared to LSIB centers, ESB centers had 7-fold more episodes of TCMR diagnosed on any biopsy [0.8 ± 1.2 vs 0.1 ± 0.4; P < .001] and a 3-fold higher rate from indication biopsies [0.3 ± 0.9 vs 0.1 ± 0.3; P = .04]. The proportion of rejection treatment varied based on severity: Banff borderline i1t1 (40%);>i1t1 and < Banff 1A (86%); and ≥ Banff 1A (100%). Biopsies for follow-up were performed after treatment in 80% of cases (n = 28) of rejection almost exclusively at ESB centers, with 17 (61%) showing persistence of TCMR (≥i1t1). CONCLUSIONS: Practice variation exists across Canadian pediatric renal transplant centers with ESB centers identifying more episodes of rejection. Additionally, treatment of Banff borderline is not universal and varies with severity regardless of center type. Lastly, follow-up biopsies are performed inconsistently and invariably show persistence of rejection.

2013 Banff Criteria for Acute Antibody-Mediated Rejection Are Superior to 2007 Banff Criteria in the Diagnosis and Assessment of Renal Allograft Outcomes.

BACKGROUND: The 2013 Banff meeting updated the requirements for the diagnosis of acute/active antibody-mediated rejection (AAMR) in kidney allografts. There has been speculation that the changes lower the threshold for diagnosing AAMR, and may lead to possible unnecessary and expensive treatment. METHODS: We compared the 2013 Banff classification for AAMR to the previous 2007 Banff to determine if there was an increase in the number of patients receiving a diagnosis of AAMR and if the diagnosis affected allograft survival and post-biopsy 3-month and 6-month creatinine and eGFR values. RESULTS: A total of 212 renal allograft biopsies were compared to both 2007 and 2013 Banff classification requirements for AAMR. Ten patients (11 biopsies) met the 2007 criteria. An additional 15 patients (20 biopsies) met the 2013 criteria. These 2 groups showed no statistically significant demographic differences. By applying the 2013 Banff classification, we observed a 2.5-fold increase in the number of AAMR cases. One-year post-transplant allograft survival was higher in the 2013 group (.85 vs .55) and the 3-month and 6-month post-biopsy creatinine values were significantly lower for the 2013 group (1.6 ± .6 vs 3.3 ± 2.2, P value .01, and 1.7 ± .6 vs 3.4 ± 2.8, P value .03). The 3-month and 6-month eGFR values were higher in the 2013 group, although not statistically significant. CONCLUSIONS: These results suggest that use of Banff 2013 criteria in place of Banff 2007 may result in diagnosing milder and earlier cases of AAMR with the possibility of initiating earlier treatment and improving graft outcomes.

Pediatric deceased donor kidney transplant outcomes under the Kidney Allocation System.

The Kidney Allocation System (KAS) has resulted in fewer pediatric kidneys being allocated to pediatric deceased donor kidney transplant (pDDKT) recipients. This had prompted concerns that post-pDDKT outcomes may worsen. To study this, we used SRTR data to compare the outcomes of 953 pre-KAS pDDKT (age <18 years) recipients (December 4, 2012-December 3, 2014) with the outcomes of 934 post-KAS pDDKT recipients (December 4, 2014-December 3, 2016). We analyzed mortality and graft loss by using Cox regression, delayed graft function (DGF) by using logistic regression, and length of stay (LOS) by using negative binomial regression. Post-KAS recipients had longer pretransplant dialysis times (median 1.26 vs 1.07 years, P = .02) and were more often cPRA 100% (2.0% vs 0.1%, P = .001). Post-KAS recipients had less graft loss than pre-KAS recipients (hazard ratio [HR]: 0.35 0.540.83 , P = .005) but no statistically significant differences in mortality (HR: 0.29 0.721.83 , P = .5), DGF (odds ratio: 0.93 1.321.93 , P = .2), and LOS (LOS ratio: 0.96 1.061.19 , P = .4). After adjusting for donor-recipient characteristics, there were no statistically significant post-KAS differences in mortality (adjusted HR: 0.37 1.042.92 , P = .9), DGF (adjusted odds ratio: 0.94 1.412.13 , P = .1), or LOS (adjusted LOS ratio: 0.93 1.041.16 , P = .5). However, post-KAS pDDKT recipients still had less graft loss (adjusted HR: 0.38 0.590.91 , P = .02). KAS has had a mixed effect on short-term posttransplant outcomes for pDDKT recipients, although our results are limited by only 2 years of posttransplant follow-up.

Outcomes, complications, and economic impact of ABO-incompatible living kidney transplantation: A single-center Japanese cohort study.

ABO-incompatible kidney transplantation (ABO-ILKT) has been reported to have a higher rate of early complications and higher medical costs than ABO-compatible kidney transplantation (ABO-CLKT). We aimed to compare the clinical outcomes, complications, and medical costs between ABO-ILKTs and ABO-CLKTs at 2 years post-transplantation. We included 65 ABO-ILKTs and 94 ABO-CLKTs in this retrospective analysis. The patient survival, graft survival, rejection incidence, and graft function were similar between ABO-CLKT and ABO-ILKT. The hospitalization costs for ABO-CLKT and ABO-ILKT were 26 544 ± 4168 USD and 34 906 ± 18 732 USD, respectively (P = 0.0001). Total 2-year medical costs were 77 117 ± 15 609 USD and 85 325 ± 33 997 USD for ABO-CLKT and ABO-ILKT, respectively, indicating that the medical costs of ABO-ILKT recipients were non-significantly higher than those of ABO-CLKT recipients at 2 years post-transplantation (P = 0.0866). ABO-ILKT and ABO-CLKT recipients showed similar infectious adverse events and complications. In conclusion, medical cost at 2 years post-transplantation, including transplant hospitalization cost, and the frequency of early complications were not significantly higher in the ABO-ILKT group than in the ABO-CLKT group. ABO-ILKT is an acceptable treatment for patients with ESRD and is comparable to ABO-CLKT not only in terms of outcomes but also in terms of medical cost.

A Novel CNN-Based CAD System for Early Assessment of Transplanted Kidney Dysfunction.

This paper introduces a deep-learning based computer-aided diagnostic (CAD) system for the early detection of acute renal transplant rejection. For noninvasive detection of kidney rejection at an early stage, the proposed CAD system is based on the fusion of both imaging markers and clinical biomarkers. The former are derived from diffusion-weighted magnetic resonance imaging (DW-MRI) by estimating the apparent diffusion coefficients (ADC) representing the perfusion of the blood and the diffusion of the water inside the transplanted kidney. The clinical biomarkers, namely: creatinine clearance (CrCl) and serum plasma creatinine (SPCr), are integrated into the proposed CAD system as kidney functionality indexes to enhance its diagnostic performance. The ADC maps are estimated for a user-defined region of interest (ROI) that encompasses the whole kidney. The estimated ADCs are fused with the clinical biomarkers and the fused data is then used as an input to train and test a convolutional neural network (CNN) based classifier. The CAD system is tested on DW-MRI scans collected from 56 subjects from geographically diverse populations and different scanner types/image collection protocols. The overall accuracy of the proposed system is 92.9% with 93.3% sensitivity and 92.3% specificity in distinguishing non-rejected kidney transplants from rejected ones. These results demonstrate the potential of the proposed system for a reliable non-invasive diagnosis of renal transplant status for any DW-MRI scans, regardless of the geographical differences and/or imaging protocol.

The "Skinny" on Assessment and Utilization of Steatotic Liver Grafts: A Systematic Review.

The frequency at which steatotic deceased donor liver grafts are encountered will likely continue to increase. Utilization of liver grafts with moderate-to-severe steatosis for liver transplantation (LT) has been previously shown to be associated with increased rates of primary nonfunction and decreased recipient survival. In order to better inform clinical decision making and guide future research, critical evaluation of the literature on donor liver steatosis and posttransplantation outcome is needed. This literature review aims to provide the "skinny" on using deceased donor steatotic livers for LT.

Benefits and risks of protocol biopsies in pediatric renal transplantation.

Protocol biopsies are defined as sampling of allograft tissue at predetermined times regardless of function. This procedure can be justified due to the lack of non-invasive methods to reliably diagnose rejection (acute or subclinical). Changes in creatinine are not seen with subclinical rejection or early acute rejection and do not always correlate with efficacy of treatment. Parents and providers are still hesitant to pursue protocol biopsy due to the potential complications and lack of definitive evidence of a benefit from doing this procedure. Importantly, the rate of transplant renal biopsy complications requiring additional intervention is low. It is unclear if detection and treatment of subclinical rejection detected on protocol biopsy will lead to improved graft survival. Our goal is to review the literature on this topic and share some of the experience in our center. Definition, indications, and complications of diagnostic transplant renal biopsies are not included in this review.

Recent Advancements in the Assessment of Renal Transplant Dysfunction with an Emphasis on Microarray Molecular Diagnostics.

Conventional assessment of renal transplant rejection and injury through use of histology, C4d staining, and HLA antibody testing, has been the standard approach to transplant management. By many measures, these methods of conventional assessment may be considered flawed, particularly with the subjective nature of histologic diagnoses. The Alberta Transplant Applied Genomics Center has developed the Molecular Microscope diagnostic system, which uses microarrays to measure gene expression. These data are analyzed using classifiers (weighted equations) that compare the tested biopsy to a proprietary reference set of biopsies to provide objective measures of the status of the renal transplant.

Electrocardiographic Correlates of Acute Allograft Rejection Among Heart Transplant Recipients.

BACKGROUND: Acute allograft rejection appears to be associated with increases in QT/QTc intervals. OBJECTIVES: To determine the relationship between acute allograft rejection and electrocardiogram changes in patients undergoing an orthotopic heart transplant. METHODS: The study population comprised 220 adult patients undergoing heart transplant and enrolled in the NEW HEART study. Electrocardiograms obtained within 72 hours of endomyocardial biopsy were analyzed; electrocardiograms obtained fewer than 10 days after transplant surgery were excluded. Repeated-measures analysis was performed with statistical models including effects for rejection severity (mild and moderate/severe) and time trends independent of rejection status. RESULTS: The 151 male and 69 female transplant recipients (mean age [SD], 54 [13] years) had 969 biopsy/electrocardiogram pairs: 677 with no rejection, 280 with mild rejection, and 12 with moderate/severe rejection. Moderate to severe organ rejection was associated with significant increases in QRS duration (P < .001), QT (P = .009), QTc (P = .003), and PR interval (P = .03), as well as increased odds of right bundle block branch (P = .002) and fascicular block (P = .009) occurring. CONCLUSIONS: Moderate to severe acute allograft rejection was associated with electrocardiographic changes after transplant surgery. Studies are needed to assess the value of computerized electrocardiogram measurement algorithms for detecting acute allograft rejection.

Assessing relative cost of complications following orthotopic liver transplant.

INTRODUCTION: Perioperative complications impose both a clinical and financial burden on patients and the healthcare system. This study sought to identify the frequency and economic impact of complications following orthotopic liver transplantation (OLT). METHODS: The Premier Perspective® Hospital Database was queried for patients undergoing OLT between 2008 and 2015. Complications were identified by ICD-9 code and grouped by complication type. Complication frequency as well as impact on clinical and economic outcomes was calculated. Complication frequency and effect on cost were combined to determine the annual impact of each complication type on perioperative OLT cost. RESULTS: Among 2747 OLT patients, the most common groups of complications following OLT were pulmonary, bleeding, and infectious. The complications with the greatest average effect on treatment-related costs were infectious, neurologic, deep vein thrombosis/pulmonary embolus, and hepatic arterial thrombosis. Infectious, pulmonary, and bleeding complications had the greatest annual effect on perioperative OLT cost. CONCLUSIONS: Efforts focused on preventing coagulopathic bleeding, improving post-operative pulmonary toilet, and minimizing sources of infection can help improve the cost-effectiveness of OLT. Additionally, the combination of these cost data and systematized protocols can help insurers construct bundled payments for OLT that more accurately reflect the cost of perioperative transplant care.

T2 Mapping for Noninvasive Assessment of Interstitial Edema in Acute Cardiac Allograft Rejection in a Mouse Model of Heterotopic Heart Transplantation.

OBJECTIVES: Heart transplantation (HTX) in mice is used to characterize gene-deficient mice and to test new treatment strategies. The purpose was to establish noninvasive magnetic resonance imaging techniques in mice to monitor pathophysiological changes of the allograft during rejection. MATERIALS AND METHODS: Magnetic resonance imaging was performed at baseline and days 1 and 6 after isogenic (n = 10, C57BL/6) and allogenic (n = 12, C57BL/6 to BALB/c) heterotopic HTX on a 7 T small animal scanner. Respiratory- and electrocardiogram-gated multislice multi-echo spin echo sequences were acquired, and parameter maps of T2 relaxation time were generated. T2 times in septal, anterior, lateral, and posterior myocardial segments as well as global T2 times were calculated and compared between groups. At day 7 animals were sacrificed and graft pathology was assessed by semiquantitative regional analysis and correlated with magnetic resonance imaging results. RESULTS: Myocardial T2 relaxation time was significantly increased in allogenic (33.4 ± 0.1 ms) and isogenic cardiac grafts (31.8 ± 1.8 ms) on day 1 after HTX compared with healthy donor hearts at baseline (23.1 ± 0.3 ms, P < 0.001). Until day 6 after HTX, myocardial T2 further increased markedly in allografts but not in isografts (43.4 ± 1.9 vs 31.2 ± 1.1 ms, P < 0.001). Mean segmental T2 values as well as mean global T2 values in allogenic compared with isogenic cardiac grafts on day 6 were significantly higher (P < 0.01). Histologically, isogenic grafts were almost normal besides small focal leukocyte infiltrates and signs of interstitial edema, most likely due to ischemia reperfusion injury (histological sum score, 0.9 ± 0.4). In allogenic HTX, histology revealed severe inflammation and tissue edema representing allograft rejection with increased histological scores (5.3 ± 0.7, P < 0.001). Higher histological scores of rejection were significantly associated with increased T2 times on a segmental and a global level. CONCLUSIONS: We could show that T2 mapping is a suitable noninvasive imaging method to monitor global and regional HTX pathologies in experimental heart transplantation in mice. Progressive prolongation of T2 time was significantly associated with pathological signs of rejection.

Development of CD3 cell quantitation algorithms for renal allograft biopsy rejection assessment utilizing open source image analysis software.

Renal allograft rejection diagnosis depends on assessment of parameters such as interstitial inflammation; however, studies have shown interobserver variability regarding interstitial inflammation assessment. Since automated image analysis quantitation can be reproducible, we devised customized analysis methods for CD3+ T-cell staining density as a measure of rejection severity and compared them with established commercial methods along with visual assessment. Renal biopsy CD3 immunohistochemistry slides (n = 45), including renal allografts with various degrees of acute cellular rejection (ACR) were scanned for whole slide images (WSIs). Inflammation was quantitated in the WSIs using pathologist visual assessment, commercial algorithms (Aperio nuclear algorithm for CD3+ cells/mm2 and Aperio positive pixel count algorithm), and customized open source algorithms developed in ImageJ with thresholding/positive pixel counting (custom CD3+%) and identification of pixels fulfilling "maxima" criteria for CD3 expression (custom CD3+ cells/mm2). Based on visual inspections of "markup" images, CD3 quantitation algorithms produced adequate accuracy. Additionally, CD3 quantitation algorithms correlated between each other and also with visual assessment in a statistically significant manner (r = 0.44 to 0.94, p = 0.003 to < 0.0001). Methods for assessing inflammation suggested a progression through the tubulointerstitial ACR grades, with statistically different results in borderline versus other ACR types, in all but the custom methods. Assessment of CD3-stained slides using various open source image analysis algorithms presents salient correlations with established methods of CD3 quantitation. These analysis techniques are promising and highly customizable, providing a form of on-slide "flow cytometry" that can facilitate additional diagnostic accuracy in tissue-based assessments.

Risk Assessment in High- and Low-MELD Liver Transplantation.

Allocation of liver grafts triggers emotional debates, as those patients, not receiving an organ, are prone to death. We analyzed a high-Model of End-stage Liver Disease (MELD) cohort (laboratory MELD score ≥30, n = 100, median laboratory MELD score of 35; interquartile range 31-37) of liver transplant recipients at our center during the past 10 years and compared results with a low-MELD group, matched by propensity scoring for donor age, recipient age, and cold ischemia time. End points of our study were cumulative posttransplantation morbidity, cost, and survival. Six different prediction models, including donor age x recipient MELD (D-MELD), Difference between listing MELD and MELD at transplant (Delta MELD), donor-risk index (DRI), Survival Outcomes Following Liver Transplant (SOFT), balance-of-risk (BAR), and University of California Los Angeles-Futility Risk Score (UCLA-FRS), were applied in both cohorts to identify risk for poor outcome and high cost. All score models were compared with a clinical-oriented decision, based on the combination of hemofiltration plus ventilation. Median intensive care unit and hospital stays were 8 and 26 days, respectively, after liver transplantation of high-MELD patients, with a significantly increased morbidity compared with low-MELD patients (median comprehensive complication index 56 vs. 36 points [maximum points 100] and double cost [median US$179 631 vs. US$80 229]). Five-year survival, however, was only 8% less than that of low-MELD patients (70% vs. 78%). Most prediction scores showed disappointing low positive predictive values for posttransplantation mortality, such as mortality above thresholds, despite good specificity. The clinical observation of hemofiltration plus ventilation in high-MELD patients was even superior in this respect compared with D-MELD, DRI, Delta MELD, and UCLA-FRS but inferior to SOFT and BAR models. Of all models tested, only the BAR score was linearly associated with complications. In conclusion, the BAR score was most useful for risk classification in liver transplantation, based on expected posttransplantation mortality and morbidity. Difficult decisions to accept liver grafts in high-risk recipients may thus be guided by additional BAR score calculation, to increase the safe use of scarce organs.

Molecular assessment of disease states in kidney transplant biopsy samples.

Progress in renal transplantation requires improved understanding and assessment of rejection and injury. Study of the relationship between gene expression and clinical phenotypes in kidney transplant biopsy samples has led to the development of a system that enables diagnoses of specific disease states on the basis of messenger RNA levels in the biopsy sample. Using this system we have defined the molecular landscape of T cell-mediated rejection (TCMR), antibody-mediated rejection (ABMR), acute kidney injury (AKI), and tubular atrophy and interstitial fibrosis. TCMR and ABMR share IFNγ-mediated effects and TCMR has emerged as a cognate T cell-antigen presenting cell process in the interstitium, whereas ABMR is a natural-killer-cell-mediated process that occurs in the microcirculation. The specific features of these different processes have led to the creation of classifiers to test for TCMR and ABMR, and revealed that ABMR is the principal cause of kidney transplant deterioration. The molecular changes associated with renal injury are often more extensive than suggested by histology and indicate that the progression to graft failure is caused by continuing nephron injury, rather than fibrogenesis. In summary, advances in the molecular assessment of disease states in biopsy samples has improved understanding of specific processes involved in kidney graft outcomes.

Impact of specimen adequacy on the assessment of renal allograft biopsy specimens.

The Banff classification was introduced to achieve uniformity in the assessment of renal allograft biopsies. The primary aim of this study was to evaluate the impact of specimen adequacy on the Banff classification. All renal allograft biopsies obtained between July 2010 and June 2012 for suspicion of acute rejection were included. Pre-biopsy clinical data on suspected diagnosis and time from renal transplantation were provided to a nephropathologist who was blinded to the original pathological report. Second pathological readings were compared with the original to assess agreement stratified by specimen adequacy. Cohen's kappa test and Fisher's exact test were used for statistical analyses. Forty-nine specimens were reviewed. Among these specimens, 81.6% were classified as adequate, 6.12% as minimal, and 12.24% as unsatisfactory. The agreement analysis among the first and second readings revealed a kappa value of 0.97. Full agreement between readings was found in 75% of the adequate specimens, 66.7 and 50% for minimal and unsatisfactory specimens, respectively. There was no agreement between readings in 5% of the adequate specimens and 16.7% of the unsatisfactory specimens. For the entire sample full agreement was found in 71.4%, partial agreement in 20.4% and no agreement in 8.2% of the specimens. Statistical analysis using Fisher's exact test yielded a P value above 0.25 showing that - probably due to small sample size - the results were not statistically significant. Specimen adequacy may be a determinant of a diagnostic agreement in renal allograft specimen assessment. While additional studies including larger case numbers are required to further delineate the impact of specimen adequacy on the reliability of histopathological assessments, specimen quality must be considered during clinical decision making while dealing with biopsy reports based on minimal or unsatisfactory specimens.

Impact of specimen adequacy on the assessment of renal allograft biopsy specimens

The Banff classification was introduced to achieve uniformity in the assessment of renal allograft biopsies. The primary aim of this study was to evaluate the impact of specimen adequacy on the Banff classification. All renal allograft biopsies obtained between July 2010 and June 2012 for suspicion of acute rejection were included. Pre-biopsy clinical data on suspected diagnosis and time from renal transplantation were provided to a nephropathologist who was blinded to the original pathological report. Second pathological readings were compared with the original to assess agreement stratified by specimen adequacy. Cohen's kappa test and Fisher's exact test were used for statistical analyses. Forty-nine specimens were reviewed. Among these specimens, 81.6% were classified as adequate, 6.12% as minimal, and 12.24% as unsatisfactory. The agreement analysis among the first and second readings revealed a kappa value of 0.97. Full agreement between readings was found in 75% of the adequate specimens, 66.7 and 50% for minimal and unsatisfactory specimens, respectively. There was no agreement between readings in 5% of the adequate specimens and 16.7% of the unsatisfactory specimens. For the entire sample full agreement was found in 71.4%, partial agreement in 20.4% and no agreement in 8.2% of the specimens. Statistical analysis using Fisher's exact test yielded a P value above 0.25 showing that - probably due to small sample size - the results were not statistically significant. Specimen adequacy may be a determinant of a diagnostic agreement in renal allograft specimen assessment. While additional studies including larger case numbers are required to further delineate the impact of specimen adequacy on the reliability of histopathological assessments, specimen quality must be considered during clinical decision making while dealing with biopsy reports based on minimal or unsatisfactory specimens.