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Background The Banff Classification may not adequately address protocol transplant biopsies categorized as normal in patients experiencing unexplained graft function deterioration. This study seeks to employ convolutional neural networks to automate the segmentation of glomerular cells and capillaries and assess their correlation with transplant function. Methods A total of 215 patients were categorized into three groups. In the Training cohort, glomerular cells and capillaries from 37 patients were manually annotated to train the networks. The Test cohort (24 patients) compared manual annotations vs automated predictions, while the Application cohort (154 protocol transplant biopsies) examined predicted factors in relation to kidney function and prognosis. Results In the Test cohort, the networks recognized histological structures with Precision, Recall, F-score and Intersection Over Union exceeding 0.92, 0.85, 0.89 and 0.74, respectively. Univariate analysis revealed associations between the estimated glomerular filtration rate (eGFR) at biopsy and relative endothelial area (r = 0.19, P  = .027), endothelial cell density (r = 0.20, P  = .017), mean parietal epithelial cell area (r = –0.38, P  < .001), parietal epithelial cell density (r = 0.29, P  < .001) and mesangial cell density (r = 0.22, P  = .010). Multivariate analysis retained only endothelial cell density as associated with eGFR (Beta = 0.13, P  = .040). Endothelial cell density (r = –0.22, P  = .010) and mean podocyte area (r = 0.21, P  = .016) were linked to proteinuria at biopsy. Over 44 ± 29 months, 25 patients (16%) reached the primary composite endpoint (dialysis initiation, or 30% eGFR sustained decline), with relative endothelial area, mean endothelial cell area and parietal epithelial cell density below medians linked to this endpoint [hazard ratios, respectively, of 2.63 (P  = .048), 2.60 (P  = .039) and 3.23 (P  = .019)]. Conclusion This study automated the measurement of intraglomerular cells and capillaries. Our results suggest that the precise segmentation of endothelial and epithelial cells may serve as a potential future marker for the risk of graft loss. [ABSTRACT FROM AUTHOR]

Background Interstitial inflammation and peritubular capillaritis are observed in many diseases on native and transplant kidney biopsies. A precise and automated evaluation of these histological criteria could help stratify patients' kidney prognoses and facilitate therapeutic management. Methods We used a convolutional neural network to evaluate those criteria on kidney biopsies. A total of 423 kidney samples from various diseases were included; 83 kidney samples were used for the neural network training, 106 for comparing manual annotations on limited areas to automated predictions, and 234 to compare automated and visual gradings. Results The precision, recall and F-score for leukocyte detection were, respectively, 81%, 71% and 76%. Regarding peritubular capillaries detection the precision, recall and F-score were, respectively, 82%, 83% and 82%. There was a strong correlation between the predicted and observed grading of total inflammation, as for the grading of capillaritis (r = 0.89 and r = 0.82, respectively, all P  < .0001). The areas under the receiver operating characteristics curves for the prediction of pathologists' Banff total inflammation (ti) and peritubular capillaritis (ptc) scores were respectively all above 0.94 and 0.86. The kappa coefficients between the visual and the neural networks' scores were respectively 0.74, 0.78 and 0.68 for ti ≥1, ti ≥2 and ti ≥3, and 0.62, 0.64 and 0.79 for ptc ≥1, ptc ≥2 and ptc ≥3. In a subgroup of patients with immunoglobulin A nephropathy, the inflammation severity was highly correlated to kidney function at biopsy on univariate and multivariate analyses. Conclusion We developed a tool using deep learning that scores the total inflammation and capillaritis, demonstrating the potential of artificial intelligence in kidney pathology. [ABSTRACT FROM AUTHOR]

Antithymocyte globulins (ATGs) are part of the immunosuppression arsenal currently used by clinicians to prevent or treat acute rejection in solid organ transplantation. ATG is a mixture of non-specific anti-lymphocyte immunoglobulins targeting not only T cell subsets but also several other immune and non-immune cells, rendering its precise immunoglobulin composition difficult to appreciate or to compare from one preparation to another. Furthermore, several mechanisms of action have been described. Taken together, this probably explains the efficacy and the side effects associated with this drug. Recent data suggest a long-term negative impact on allograft and patient outcomes, pointing out the need to better characterize the potential toxicity and the benefit--risk balance associated to this immunosuppressive therapy within large clinical trials. [ABSTRACT FROM AUTHOR]

Background. The Eurotransplant Senior Program (ESP) neglects HLA matching for elderly (=65 years) kidney transplant recipients (KTR). Few data regarding the influence of DR matching on clinical and immunologic outcome in elderly KTR exist. Methods. This retrospective long-term observational study included 244 elderly out of n = 972 adult KTR between 2004 and 2014. Data analysis included patient and graft survival, biopsyproven rejections [T-cell-mediated rejections (TCMR) and antibody-mediated rejections] and development of de novo donor-specific HLA antibodies (DSA). Outcome data were assessed over a maximum period of 10 years. Results. Due to the nature of the ESP, elderly KTR showed significantly more HLA mismatches, shorter time on dialysis and shorter cold ischaemia time. Elderly KTR had significantly worse graft and patient survival, and after 7 years, the rate of de novo DSA (33 versus 25%, P = 0.034) and TCMR (39 versus 27%, P < 0.001) was significantly higher compared with younger KTR. Multivariate analysis identified donor age, delayed graft function and HLA-DR mismatches as independent risk factors for TCMR. Within the group of elderly KTR, HLA-DR mismatches were associated with a significantly higher incidence of TCMR and development of de novo DSA. Occurrence of TCMR and de novo DSA in elderly KTR resulted in significantly worse graft survival. Conclusions. In elderly KTR, HLA-DR mismatches are independent risk factors for TCMR and the development of all classes of de novo DSA, both of which significantly impair graft survival. Introduction of HLA-DR matching in elderly KTR might significantly improve immunologic and overall outcome. [ABSTRACT FROM AUTHOR]

Some data suggest that cytomegalovirus (CMV) may be involved in atherogenesis. However, there are few data suggesting that CMV may contribute to posttransplantation atherosclerosis. We studied a cohort of 570 consecutive renal transplant recipients. The impact of CMV on atherosclerotic events was analyzed with respect to other known main cardiovascular risk factors. The mean follow-up duration (±SD) was 87 ± 31 months. A total of 357 patients were considered to be CMV exposed, and 213 were considered to be CMV naive. Cox regression analysis revealed that CMV exposure (hazard ratio [HR], 1.80 [95% confidence interval {CI}, 1.06-3.05]; P = .030) was an independent risk factor for atherosclerotic events. A total of 213 patients remained CMV negative during follow-up, 225 CMV-positive patients had no replication after transplantation, and 132 CMV-positive patients experienced CMV replication after transplantation. Atherosclerotic event rates were 8.5%, 13.3%, and 18.2%, respectively (P = .034). Cox regression analysis revealed that patients with posttransplantation CMV replication had an increased risk of atherosclerotic events (HR, 2.06 [95% CI, 1.03-4.15]; P = .042) and death (HR, 1.76 [95% CI, 1.08-2.89]; P = .024). There was also a trend toward an increased risk of atherosclerotic events in CMV-positive patients without posttransplantation replication (HR, 1.62 [95% CI, .91-3.05]; P = .098). Both pretransplantation CMV exposure and posttransplantation CMV replication contribute to the increased risk of cardiovascular disease in transplant recipients. [ABSTRACT FROM AUTHOR]