Citations

AbstractHistologic findings on 1‐year biopsies such as inflammation with fibrosis and transplant glomerulopathy predict renal allograft loss by 5 years. However, almost half of the patients with graft loss have a 1‐year biopsy that is either normal or has only interstitial fibrosis. The goal of this study was to determine if there was a gene expression profile in these relatively normal 1‐year biopsies that predicted subsequent decline in renal function. Using transcriptome microarrays we measured intragraft mRNA levels in a retrospective Discovery cohort (170 patients with a normal/minimal fibrosis 1‐year biopsy, 54 with progressive decline in function/graft loss and 116 with stable function) and developed a nested 10‐fold cross‐validated gene classifier that predicted progressive decline in renal function (positive predictive value = 38 ± 34%%; negative predictive value = 73 ± 30%, c‐statistic = .59). In a prospective, multicenter Validation cohort (270 patients with Normal/Interstitial Fibrosis [IF]), the classifier had a 20% positive predictive value, 85% negative predictive value and .58 c‐statistic. Importantly, the majority of patients with graft loss in the prospective study had 1‐year biopsies scored as Normal or IF. We conclude predicting graft loss in many renal allograft recipients (i.e., those with a relatively normal 1‐year biopsy and eGFR > 40) remains difficult.

AimsMachine learning in digital pathology can improve efficiency and accuracy via prescreening with automated feature identification. Studies using uniform histological material have shown promise. Generalised application requires validation on slides from multiple institutions. We used machine learning to identify glomeruli on renal biopsies and compared performance between single and multiple institutions.Methods and resultsRandomly selected, adequately sampled renal core biopsy cases (71) consisting of four stains each (haematoxylin and eosin, trichrome, silver, periodic acid Schiff) from three institutions were digitised at ×40. Glomeruli were manually annotated by three renal pathologists using a digital tool. Cases were divided into training/validation (n = 52) and evaluation (n = 19) cohorts. An algorithm was trained to develop three convolutional neural network (CNN) models which tested case cohorts intra‐ and inter‐institutionally. Raw CNN search data from each of the four slides per case were merged into composite regions of interest containing putative glomeruli. The sensitivity and modified specificity of glomerulus detection (versus annotated truth) were calculated for each model/cohort. Intra‐institutional (3) sensitivity ranged from 90 to 93%, with modified specificity from 86 to 98%. Interinstitutional (1) sensitivity was 77%, with modified specificity 97%. Combined intra‐ and inter‐institutional (1) sensitivity was 86%, with modified specificity 92%.ConclusionsFeature detection sensitivity degrades when training and test material originate from different sites. Training using a combined set of digital slides from three institutions improves performance. Differing histology methods probably account for algorithm performance contrasts. Our data highlight the need for diverse training sets for the development of generalisable machine learning histology algorithms.

Significance Statement Approximately 20% of patients with lupus nephritis, the most common renal manifestation of systemic lupus erythematosus, show membranous lupus nephritis on kidney biopsy, and nearly 10% eventually develop ESKD. Recently, two proteins, Exostosin 1 and Exostosin 2 (EXT1/EXT2), were shown to be present in a subset of membranous lupus nephritis kidney biopsy specimens. In an examination of 374 membranous lupus nephritis kidney biopsy specimens, the authors found 32.6% to be EXT1/EXT2-positive. Kidney biopsy specimens from patients with EXT1/EXT2-positive membranous lupus nephritis showed less chronicity features (glomerulosclerosis, interstitial fibrosis, and tubular atrophy) compared with those from EXT1/EXT2-negative patients. EXT1/EXT2-negative patients were also more likely to reach ESKD than EXT1/EXT2-positive patients. These findings suggest that the presence of EXT1/EXT2 is favorable, and that EXT1/EXT2-positive patients have better renal outcomes compared with EXT1/EXT2-negative patients. Background In patients with secondary (autoimmune) membranous nephropathy, two novel proteins, Exostosin 1 and Exostosin 2 (EXT1/EXT2), are potential disease antigens, biomarkers, or both. In this study, we validate the EXT1/EXT2 findings in a large cohort of membranous lupus nephritis. Methods We conducted a retrospective cohort study of patients with membranous lupus nephritis, and performed immunohistochemistry studies on the kidney biopsy specimens against EXT1 and EXT2. Clinicopathologic features and outcomes of EXT1/EXT2-positive versus EXT1/EXT2-negative patients were compared. Results Our study cohort included 374 biopsy-proven membranous lupus nephritis cases, of which 122 (32.6%) were EXT1/EXT2-positive and 252 (67.4%) were EXT1/EXT2-negative. EXT1/EXT2-positive patients were significantly younger ( P =0.01), had significantly lower serum creatinine levels ( P =0.02), were significantly more likely to present with proteinuria ≥3.5 g/24 h ( P =0.009), and had significantly less chronicity features (glomerulosclerosis, P =0.001 or interstitial fibrosis and tubular atrophy, P <0.001) on kidney biopsy. Clinical follow-up data were available for 160 patients, of which 64 (40%) biopsy results were EXT1/EXT2-positive and 96 (60%) were EXT1/EXT2-negative. The proportion of patients with class 3/4 lupus nephritis coexisting with membranous lupus nephritis was not different between the EXT1/EXT2-positive and EXT1/EXT2-negative groups (25.0% versus 32.3%; P= 0.32). The patients who were EXT1/EXT2-negative evolved to ESKD faster and more frequently compared with EXT1/EXT2-positive patients (18.8% versus 3.1%; P =0.003). Conclusions The prevalence of EXT1/EXT2 positivity was 32.6% in our cohort of membranous lupus nephritis. Compared with EXT1/EXT2-negative membranous lupus nephritis, EXT1/EXT2-positive disease appears to represent a subgroup with favorable kidney biopsy findings with respect to chronicity indices. Cases of membranous lupus nephritis that are EXT1/EXT2-negative are more likely to progress to ESKD compared with those that are EXT1/EXT2-positive.

Abstract Background Microhematuria is common in immunoglobulin A nephropathy (IgAN). However, current prognostication is based on proteinuria and mesangial hypercellularity, endocapillary hypercellularity, segmental sclerosis, tubulointerstitial fibrosis and crescent (MEST-C) scores. Methods In this retrospective study, we evaluated whether MEST-C score components are associated with the presence of microhematuria at biopsy and whether the degree of microhematuria during follow-up is associated with change in estimated glomerular filtration rate (eGFR), after adjusting for clinical and histological parameters. We identified 125 patients with biopsy-proven IgAN and MEST-C scoring who were not on immunosuppressive therapy at biopsy. Microhematuria was defined as ≥3 red blood cells (RBCs)/high-power field (hpf). Results Of the 125 patients, 97 had microhematuria at baseline and were more likely to have M1, E1 and C ≥ 1 lesions (P &lt; 0.05 for all) compared with patients without microhematuria. Of the 125 patients, 72 had follow-up data available. An increase in the degree of microhematuria was significantly associated with an eGFR decline of −0.81 mL/min/1.73 m2 [95% confidence interval (CI) −1.44 to −0.19, P = 0.01], after adjusting for follow-up time, proteinuria and T score. Severe microhematuria (≥21 RBCs/hpf) was associated with an even larger decline in eGFR (−3.99 mL/min/1.73 m2; 95% CI −6.9411 to −1.0552, P = 0.008), after similar adjustments. Conclusion Degree of microhematuria during follow-up is an independent predictor of eGFR decline after adjusting for clinical and histological parameters. Therefore, monitoring the degree of microhematuria as well as proteinuria is important when evaluating patients with IgAN. Additional studies using improvement in microhematuria as a primary surrogate outcome are needed.

Abstract Abstract 3992 Little is known about the rare entities of heavy and light chain amyloidosis (AHL) and heavy chain amyloidosis (AH). In this study, we report the renal and hematologic characteristics, pathology, and outcome of 17 patients with renal AH/AHL including 5 with AH (4 IgG and 1 IgA) and 12 with AHL (7 IgGλ, 3 IgAκ, 1 IgAλ, and 1 IgMλ), and compare them with 202 patients with renal AL amyloidosis (AL) diagnosed during the same time period. All cases were diagnosed by kidney biopsy that showed Congo red-positive deposits. Amyloid typing was done by laser microdissection and mass spectrometry (LMD/MS) (12 patients) or by immunofluorescence (5 patients). All patients with renal AH/AHL were Caucasians, with a M:F ratio of 2.4 and a median age at biopsy of 63 years. Compared with patients with renal AL, those with renal AH/AHL had less frequent concurrent cardiac involvement, higher likelihood of having circulating complete monoclonal Ig, lower sensitivity of fat pad biopsy and bone marrow biopsy for detecting amyloid, higher incidence of hematuria, and better patient survival. The hematologic and renal responses to chemotherapy were comparable to renal AL. In 42% of patients, AH/AHL could not have been diagnosed without LMD/MS. In conclusion, renal AH/AHL is an uncommon but under-recognized form of amyloidosis, and its diagnosis is greatly enhanced by the use of LMD/MS for amyloid typing. The accurate histological diagnosis of renal AH/AHL and distinction from AL may have important clinical and prognostic implications. Table 1. Demographics and hematologic characteristics AH/AHL AL p value No. of patients 17 202 Gender: Male/female 12/5 (71%/29%) 126/76 (62%/38%) 0.61 Age, median (range) 63 (50–77) 62 (36–86) 0.73 Additional organ involvement 8 (47%) 126 (62%) 0.3 Cardiac involvement 3 (18%) 100 (50%) 0.01* % of plasma cells in bone marrow, median (IQR) 8 (5–15) 6 (5–10) 0.82 ≥30 plasma cells 4 (24%) 11/198 (6%) 0.02* Positive SPEP/SIF for paraprotein 15 (88%) 158/200 (79%) 0.53 Presence of whole monoclonal protein on SPEP 14 (82%) 108/200 (54%) 0.04* Positive UPEP/UIF for paraprotein 13/16 (81%) 158/189 (84%) 0.73 Presence of whole monoclonal protein on UPEP 10/16 (63%) 61/189 (32%) 0.03* Abnormal serum FLC ratio (<0.26 or >1.65) 9/12 (75%) 150/188 (80%) 0.71 Markedly abnormal FLC ratio (< 0.125 or > 8) 5/12 (42%) 100/188 (53%) 0.55 Positive bone marrow for amyloid 6/16 (38%) 135/183 (74%) 0.004* Positive fat pad biopsy for amyloid 2/14 (14%) 105/145 (72%) <0.001* IQR, interquartile range. Table 2. Renal characteristics at kidney biopsy AH/AHL AL p value No. of patients 17 202 24h urine protein in g, median (IQR) 5.1 (3.2–9.0) 6.0 (3.2–10.0) 0.9 Full nephrotic syndrome 9/16 (56%) 132/197 (67%) 0.42 Serum albumin in g/dl, median (IQR) 2.7 (2.2–3.3) 2.5 (1.9–2.9) 0.29 % albuminuria on UPEP, median (IQR) 68 (61–72) 70 (60–76) 0.47 Serum creatinine in mg/dl, median (IQR) 1.4 (1.1–2.1) 1.2 (0.9–1.8) 0.25 Serum creatinine >1.2 mg/dl 10/16 (63%) 92/201 (46%) 0.3 eGFR, median (IQR) 47 (27–67) 58 (36–75) 0.29 Decreased eGFR 10/16 (63%) 103/201 (51%) 0.44 Microscopic hematuria 9/16 (56%) 44/169 (26%) 0.02* IQR, interquartile range. Disclosures: No relevant conflicts of interest to declare.

Kidney disease is common in patients with multiple myeloma. Patients often present with acute kidney failure most commonly the result of light chain cast nephropathy. Presentation can also be in the form of nephrotic syndrome associated with immunoglobulin light chain amyloidosis or monoclonal immunoglobulin deposition disease and tubulopathy as in acquired light chain Fanconi syndrome. We present a case of a 56-year-old male with multiple myeloma who presented with chronic kidney disease and uric acid stones. Chemical analysis of the nephrolithiasis showed it to be entirely composed of uric acid. Fractional excretion of uric acid was elevated at 35.9%. Kidney biopsy was consistent with light chain proximal tubulopathy. Bone marrow biopsy showed 30% kappa light chain–restricted plasma cells. Genetic sequencing identified the light chain to be from the Vk1-33 subgroup. The patient was treated with bortezomib, cyclophosphamide, and dexamethasone, with improvement of his kidney function. This case illustrates a rare presentation of multiple myeloma.