Key Points We used national data to examine the outcomes of kidney transplant allocated as out of sequence offers to transplant centers in the United States. Short-term kidney graft failure does not differ between kidneys that were allocated as out of sequence offers versus standard allocation. Background Changes in kidney allocation policies and regulations of Organ Procurement Organizations have affected the volume of organ offers and challenged transplant providers. One consequence is increased kidneys allocated out of sequence (OOS). Methods Retrospective observational study using Scientific Registry of Transplant Recipient data from 2021 to 2023, we analyzed donor and recipient characteristics for OOS versus standard kidney allocation and multivariable Cox models to evaluate graft survival. We also compared paired donors (one kidney OOS and the other standard allocation). Results Annual OOS kidney allocation rates increased from 5.4% in 2021 to 18.4% in 2023. High OOS-use centers increased from 5 (2.2%) between 2021 and June 2022 to 37 (17%) in 2023. Listing at a high-OOS usage center was associated with increased rate of deceased donor transplantation (adjusted hazard ratio [AHR], 3.07; 95% confidence interval [CI], 2.90 to 3.25). Recipients of OOS allocation were more likely to be male (66% versus 59%), White race (38% versus 32%), privately insured (29% versus 24%), and preemptively transplanted (18% versus 10%). Overall graft loss was not significantly different between OOS and standard allocated transplants (AHR, 0.94; 95% CI, 0.85 to 1.05), consistent in paired donor analysis (AHR, 1.10; 95% CI, 0.86 to 1.41). Conclusions Short-term kidney graft failure does not differ between OOS and standard allocation. High-OOS kidney centers have higher deceased donor transplant rates. Further investigation is needed to understand demographic differences and factors explaining OOS allocation.

This study aimed to identify the parenchymal structural features by both computed tomography (CT) and histology that are associated with death-censored graft failure in recipients of living donor kidneys. We analyzed kidney recipients of ABO-compatible living donor kidneys from 2000-2020 with follow-up through 2023. Cortical volume and thickness, individual medullary pyramid volume and count, glomerular volume, nephrosclerosis, and nephron number were assessed by deep learning models applied to the predonation CT and by morphometric histology analysis from the biopsy at the time of transplantation. There were 3098 recipients followed for a median of 5 years with 346 graft failure events. In adjusted analyses, the only structural measures associated with graft failure were fewer medullary pyramids on CT and a higher fraction of interstitial fibrosis and tubular atrophy on histology. Having <= 15 pyramids donated occurred in 9% and was associated with a graft failure incidence of 2.5 per 100 person-years compared to 1.6 per 100 person-years in the 17% with >= 26 pyramids donated. Fewer medullary pyramids were associated with a lower 1-year estimated glomerular filtration rate, which mediated the subsequent risk of graft failure. Interstitial fibrosis and tubular atrophy >1% is also associated with graft failure. Medullary pyramid count is a potentially useful predonation prognostic biomarker for graft failure in transplant recipients.

In this case study, we used Digital Spatial Profiling to localize transcripts in a series of 4 biopsies from a single patient before, during and after treatment for acute antibody-mediated rejection that was characterized by strong C4d staining of the glomeruli. Spatial resolution demonstrated that molecular signatures of innate immune cells including NK cells and macrophages are located in glomeruli during AMR, and transcripts for HLA class II antigens were upregulated in the glomeruli. In contrast, transcripts of signature genes for podocytes were decreased during rejection. Treatment with IVIg resolved histological evidence of glomerulitis but did not restore expression of podocyte transcripts. These data demonstrate a vulnerability of podocytes in acute AMR with persistent glomerulitis. Additionally, by using a protocol biopsy from the same patient as a baseline, transcript changes for an informative set of genes were uncovered to test for podocyte dysfunction in future patients.

The objective of this study was to validate the performance of Tutivia, a peripheral blood gene expression signature, in predicting early acute rejection (AR) post–kidney transplant. Recipients of living or deceased donor kidney transplants were enrolled in a nonrandomized, prospective, global, and observational study (NCT04727788). The main outcome was validation of the area under the curve (AUC) of Tutivia vs serum creatinine at biopsy alone, or Tutivia + serum creatinine at biopsy. Of the 151 kidney transplant recipients, the mean cohort age was 53 years old, and 64% were male. There were 71% (107/151) surveillance/protocol biopsies and 29% (44/151) for-cause biopsies, with a 31% (47/151) overall rejection rate. Tutivia (AUC 0.69 [95% CI: 0.59-0.77]) and AUC of Tutivia + creatinine at biopsy (0.68 [95% CI: 0.59-0.77]) were greater than the AUC of creatinine at biopsy alone (0.51.4 [95% CI: 0.43-0.60]). Applying a model cut-off of 50 (scale 0-100) generated a high- and low-risk category for AR with a negative predictive value of 0.79 (95% CI: 0.71-0.86), a positive predictive value of 0.60 (95% CI: 0.45-0.74), and an odds ratio of 5.74 (95% CI: 2.63-12.54). Tutivia represents a validated noninvasive approach for clinicians to accurately predict early AR, beyond the current standard of care.

Background. There are limited data and no national capture of barriers associated with initiating and completing the donation process for potential living kidney donors (LKDs). Methods. We performed a retrospective analysis of 3001 intake forms completed by prospective LKDs from 2016 to 2019 at a single transplant center. We analyzed data from all potential donors who completed the intake until they became ineligible or withdrew or donation was complete. We used univariate and multivariate models to evaluate independent factors associated with donation at various stages in the donation process. Results. The donation process was deconstructed into 5 steps: intake form, immunologic compatibility testing, clinic evaluation, selection committee review, and donation. The highest percentage of potential donors dropped out after completing the intake form, primarily because of not responding to the follow-up phone call (22.6%). Of 455 potential LKDs that completed immunologic compatibility testing, 36% were ABO or crossmatch incompatible. One-hundred eighty-eight (7.5%) of all LKD applicants reached donation, the majority of whom were White (91.0%) and female (63.8%). Conclusions. A minority of LKD applicants make it to donation. Our ability to track all potential LKDs from the initial touch point to the transplant center will help us develop interventions to address barriers to a successful donation.

Significance Statement Segmentation of multiple structures in cross-sectional imaging is time-consuming and impractical to perform manually, especially if the end goal is clinical implementation. In this study, we developed, validated, and demonstrated the capability of a deep learning algorithm to segment individual medullary pyramids in a rapid, accurate, and reproducible manner. The results demonstrate that cortex volume, medullary volume, number of pyramids, and mean pyramid volume is associated with patient clinical characteristics and microstructural findings and provide insights into the mechanisms that may lead to CKD. Background The kidney is a lobulated organ, but little is known regarding the clinical importance of the number and size of individual kidney lobes. Methods After applying a previously validated algorithm to segment the cortex and medulla, a deep-learning algorithm was developed and validated to segment and count individual medullary pyramids on contrast-enhanced computed tomography images of living kidney donors before donation. The association of cortex volume, medullary volume, number of pyramids, and mean pyramid volume with concurrent clinical characteristics (kidney function and CKD risk factors), kidney biopsy morphology (nephron number, glomerular volume, and nephrosclerosis), and short- and long-term GFR <60 or <45 ml/min per 1.73 m 2 was assessed. Results Among 2876 living kidney donors, 1132 had short-term follow-up at a median of 3.8 months and 638 had long-term follow-up at a median of 10.0 years. Larger cortex volume was associated with younger age, male sex, larger body size, higher GFR, albuminuria, more nephrons, larger glomeruli, less nephrosclerosis, and lower risk of low GFR at follow-up. Larger pyramids were associated with older age, female sex, larger body size, higher GFR, more nephrons, larger glomerular volume, more nephrosclerosis, and higher risk of low GFR at follow-up. More pyramids were associated with younger age, male sex, greater height, no hypertension, higher GFR, lower uric acid, more nephrons, less nephrosclerosis, and a lower risk of low GFR at follow-up. Conclusions Cortex volume and medullary pyramid volume and count reflect underlying variation in nephron number and nephron size as well as merging of pyramids because of age-related nephrosclerosis, with loss of detectable cortical columns separating pyramids.

SIGNIFICANCE STATEMENT:Nephron number currently can be estimated only from glomerular density on a kidney biopsy combined with cortical volume from kidney imaging. Because of measurement biases, refinement of this approach and validation across different patient populations have been needed. The prognostic importance of nephron number also has been unclear. The authors present an improved method of estimating nephron number that corrects for several biases, resulting in a 27% higher nephron number estimate for donor kidneys compared with a prior method. After accounting for comorbidities, the new nephron number estimate does not differ between kidney donors and kidney patients with tumor and shows consistent associations with clinical characteristics across these two populations. The findings also indicate that low nephron number predicts CKD independent of biopsy and clinical characteristics in both populations. BACKGROUND:Nephron number can be estimated from glomerular density and cortical volume. However, because of measurement biases, this approach needs refinement, comparison between disparate populations, and evaluation as a predictor of CKD outcomes. METHODS:We studied 3020 living kidney donors and 1354 patients who underwent radical nephrectomy for tumor. We determined cortex volume of the retained kidney from presurgical imaging and glomerular density by morphometric analysis of needle core biopsy of the donated kidney and wedge sections of the removed kidney. Glomerular density was corrected for missing glomerular tufts, absence of the kidney capsule, and then tissue shrinkage on the basis of analysis of 30 autopsy kidneys. We used logistic regression (in donors) and Cox proportional hazard models (in patients with tumor) to assess the risk of CKD outcomes associated with nephron number. RESULTS:Donors had 1.17 million nephrons per kidney; patients with tumor had 0.99 million nephrons per kidney. A lower nephron number was associated with older age, female sex, shorter height, hypertension, family history of ESKD, lower GFR, and proteinuria. After adjusting for these characteristics, nephron number did not differ between donors and patients with tumor. Low nephron number (defined by <5th or <10th percentile by age and sex in a healthy subset) in both populations predicted future risk of CKD outcomes independent of biopsy and clinical characteristics. CONCLUSIONS:Compared with an older method for estimating nephron number, a new method that addresses several sources of bias results in nephron number estimates that are 27% higher in donors and 1% higher in patients with tumor and shows consistency between two populations. Low nephron number independently predicts CKD in both populations.

INTRODUCTION New estimated glomerular filtration rate (eGFR) equations using serum creatinine and/or cystatin C have been derived to eliminate adjustment by perceived Black ancestry. We sought to analyze the performance of newer eGFR equations among Black living kidney donor candidates. METHODS Black candidates (n = 64) who had measured iothalamate GFR between January 2015 and October 2021 were included, and eGFR was calculated using race adjusted (eGFRcr2009 and eGFRcr-cys2012) and race unadjusted (eGFRcys2012, eGFRcr2021, and eGFRcr-cys2021) CKD-EPI equations. Bias and accuracy were calculated. RESULTS The eGFRcr2021 equation had a negative bias of 9 mL/min/1.73 m2 , while other equations showed a modest positive bias. Accuracy within 10% and 30% was greatest using the eGFRcr-cys2021 equation. With the eGFRcr2021 equation, 9.4% of donors with an mGFR > 80 mL/min/1.73 m2 were misclassified as having an eGFR < 80 mL/min/1.73 m2 . eGFR was also compared among 18 kidney donors at 6-24 months post-donation. Post-donation, the percentage of donors with an eGFR < 60 mL/min/1.73 m2 was 44% using the eGFRcr2021 equation compared to 11% using the eGFRcr-cys2021 equation. CONCLUSION The CKD-EPICr2021 equation appears to underestimate true GFR in Black living donor candidates. Alternatively, compared to CKD-EPICr2021, the CKD-EPICr-CysC2021 equation appears to perform with less bias and improved accuracy.

Significance Statement Nephrosclerosis (glomerulosclerosis, interstitial fibrosis, and tubular atrophy) is the defining pathology of both kidney aging and CKD. Optimal thresholds for nephrosclerosis that identify persons with a progressive disease are unknown. This study determined a young-age threshold (18–29 years) and age-based 95th percentile thresholds for nephrosclerosis on the basis of morphometry of kidney biopsy sections from normotensive living kidney donors. These thresholds were 7.1-fold to 36-fold higher in older (70 years or older) versus younger (aged 18–29 years) normotensive donors. Age-based thresholds, but not young-age threshold, were prognostic for determining risk of progressive CKD among patients who underwent a radical nephrectomy or a for-cause native kidney biopsy, suggesting that age-based thresholds are more useful than a single young-age threshold for identifying CKD on biopsy. Background Nephrosclerosis, defined by globally sclerotic glomeruli (GSG) and interstitial fibrosis and tubular atrophy (IFTA), is a pathology of both kidney aging and CKD. A comparison of risk of progressive CKD using aged-based thresholds for nephrosclerosis versus a single young-adult threshold is needed. Methods We conducted morphometric analyses of kidney biopsy images for %GSG, %IFTA, and IFTA foci density among 3020 living kidney donors, 1363 patients with kidney tumor, and 314 patients with native kidney disease. Using normotensive donors, we defined young-age thresholds (18–29 years) and age-based (roughly by decade) 95th percentile thresholds. We compared age-adjusted risk of progressive CKD (kidney failure or 40% decline in eGFR) between nephrosclerosis that was “normal compared with young,” “normal for age but abnormal compared with young,” and “abnormal for age” in patients with tumor and patients with kidney disease. Results The 95th percentiles in the youngest group (18–29 years) to the oldest group (70 years or older) ranged from 1.7% to 16% for %GSG, 0.18% to 6.5% for %IFTA, and 8.2 to 59.3 per cm 2 for IFTA foci density. Risk of progressive CKD did not differ between persons with nephrosclerosis “normal compared with young” versus “normal for age but abnormal compared with young.” Risk of progressive CKD was significantly higher with %GSG, %IFTA, or IFTA foci density that was abnormal versus normal for age in both cohorts. Conclusions Given that increased risk of progressive CKD occurs only when nephrosclerosis is abnormal for age, age-based thresholds for nephrosclerosis seem to be better than a single young-age threshold for identifying clinically relevant CKD.