Kidney Biopsy and Immuno-Rheumatological Diseases: A Retrospective and Observational Study
Abstract
1. Introduction
2. Materials and Methods
- -
- NS: peripheral oedema, hypoalbuminemia, hyperlipidemia, and proteinuria > 3.5 g/24 h;
- -
- ANS: haematuria, mild proteinuria (<3.5 g/24 h), arterial hypertension, and reduced GFR [7].
- -
- Immune-mediated GN as SLE; Schonlein–Henoch purpura; vasculitis, such as cryoglobulinemia vasculitis (CV); microscopic polyangiitis (MPA); granulomatosis with polyangiitis (GPA); eosinophilic granulomatosis with polyangiitis (Churg–Strauss); polyarteritis nodosa (PAN); and APS;
- -
- Metabolic and hereditary-disorder-associated GN, such as diabetes mellitus, Alport’s syndrome, and Anderson–Fabry disease;
- -
- Hematological disease-associated renal involvement, such as monoclonal gammopathy, Waldenstrom’s macroglobulinemia, light-chain disease, and amyloidosis;
- -
- Chronic TIN (CTIN), acute TIN (ATIN), multiple myeloma-associated TIN, and IgG4-positive TIN.
3. Renal Biopsy and Histology
4. Statistical Analysis
5. Results
6. Discussion
7. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Vaglio, A.; Gattorno, M.; McAdoo, S.; Obici, L.P.; Ghiggeri, G.M. The kidney in auto-immune and auto-inflammatory processes: Definitions, mechanisms, and biomarkers. Front. Med. 2023, 9, 1129021. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Hegazy, M.T.; Fayed, A.; Nuzzolese, R.; Sota, J.; Ragab, G. Autoinflammatory diseases and the kidney. Immunol. Res. 2023, 71, 578–587. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Fenta, E.T.; Eshetu, H.B.; Kebede, N.; Bogale, E.K.; Zewdie, A.; Kassie, T.D.; Anagaw, T.F.; Mazengia, E.M.; Gelaw, S.S. Prevalence and predictors of chronic kidney disease among type 2 diabetic patients worldwide, systematic review and meta-analysis. Diabetol. Metab. Syndr. 2023, 15, 245. [Google Scholar] [CrossRef] [Scilit]
- Andrulli, S.; Rossini, M.; Gigliotti, G.; La Manna, G.; Feriozzi, S.; Aucella, F.; Granata, A.; Moggia, E.; Santoro, D.; ITA-KID-BIO-Group; et al. The risks associated with percutaneous native kidney biopsies: A prospective study. Nephrol. Dial. Transplant. 2023, 38, 655–663. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Saran, R.; Li, Y.; Robinson, B.; Chen, J.L.T.; Lu, Y.; Molnar, M.Z.; Herman, W.; Song, P.; Sim, J.J.; White, S.; et al. US Renal Data System 2015 Annual Data Report: Epidemiology of Kidney Disease in the United States. Am. J. Kidney Dis. 2016, 67 (Suppl. S1), S1–S305. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Abramson, M.; Mehdi, A. Hematological Malignancies and the Kidney. Adv. Chronic Kidney Dis. 2022, 29, 127–140.e1. [Google Scholar] [CrossRef] [Scilit]
- Kidney Disease: Improving Global Outcomes (KDIGO) Glomerular Diseases Work Group. KDIGO 2021 Clinical Practice Guideline for the Management of Glomerular Diseases. Kidney Int. 2021, 100, S1–S276. [Google Scholar] [CrossRef] [Scilit]
- Krishnamurthy, H.; Yang, Y.; Song, Q.; Krishna, K.; Jayaraman, V.; Wang, T.; Bei, K.; Rajasekaran, J.J. Evaluation of renal markers in systemic autoimmune diseases. PLoS ONE 2023, 18, e0278441. [Google Scholar] [CrossRef] [Scilit]
- Levin, A.S.; Bilous, R.W.; Coresh, J. Chapter 1: Definition and classification of CKD. Kidney Int. Suppl. 2013, 3, 19–62. [Google Scholar] [CrossRef] [Scilit]
- Levey, A.S.; Stevens, L.A.; Schmid, C.H.; Zhang, Y.; Castro, A.F.; Feldman, H.I.; Kusek, J.W.; Eggers, P.; Van Lente, F.; Greene, T.; et al. A new equation to estimate glomerular filtration rate. Ann. Intern. Med. 2009, 150, 604–612. [Google Scholar] [CrossRef] [Scilit]
- Kellum, J.A.; Lameire, N.; Aspelin, P.; Kidney Disease: Improving Global Outcomes (KDIGO) Acute Kidney Injury Work Group. KDIGO clinical practice guideline for acute kidney injury. Kidney Int. 2012, 2 (Suppl. S1), 1–138. [Google Scholar]
- Sis, B.; Mengel, M.; Haas, M.; Colvin, R.B.; Halloran, P.F.; Racusen, L.C.; Regele, H.; Rodriguez, E.R.; Papadimitriou, J.C.; Zeevi, A.; et al. Banff ’09 meeting report: Antibody mediated graft deterioration and implementation of Banff working groups. Am. J. Transplant. 2010, 10, 464–471. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Katafuchi, R.; Kiyoshi, Y.; Oh, Y.; Uesugi, N.; Ikeda, K.; Yanase, T.; Fujimi, S. Glomerular score as a prognosticator in IgA nephropathy: Its usefulness and limitation. Clin. Nephrol. 1998, 49, 1–8. [Google Scholar] [PubMed]
- Sethi, S.; Fervenza, F.C. Standardized classification and reporting of glomerulonephritis. Nephrol. Dial. Transplant. 2019, 34, 193–199. [Google Scholar] [CrossRef] [Scilit]
- Schnuelle, P. Renal Biopsy for Diagnosis in Kidney Disease: Indication, Technique, and Safety. J. Clin. Med. 2023, 12, 6424. [Google Scholar] [CrossRef] [Scilit]
- Gopal, A.; Kavadichanda, C.; Gayathri, M.S.; Gorijavolu, M.; Bairwa, D.; Mariaselvam, C.M.; Srinivas, B.H.; Thabah, M.M.; Negi, V.S. Kidney histopathology in predicting flares following drug withdrawal in proliferative lupus nephritis in clinical remission. Rheumatol. Int. 2023. online ahead of print. [Google Scholar] [CrossRef] [Scilit]
- Bajema, I.M.; Wilhelmus, S.; Alpers, C.E.; Bruijn, J.A.; Colvin, R.B.; Cook, H.T.; Nast, C.C.; Joh, K.; Haas, M.; Fogo, A.B.; et al. Revision of the International Society of Nephrology/Renal Pathology Society classification for lupus nephritis: Clarification of definitions, and modified National Institutes of Health activity and chronicity indices. Kidney Int. 2018, 93, 789–796. [Google Scholar] [CrossRef] [Scilit]
- Gesualdo, L.; Di Palma, A.M.; Morrone, L.F.; Strippoli, G.F.; Schena, F.P. Italian Immunopathology Group, Italian Society of Nephrology. The Italian experience of the national registry of renal biopsies. Kidney Int. 2004, 66, 890–894. [Google Scholar] [CrossRef] [Scilit]
- Zhang, P.; Yang, X.; Gao, C.L.; Wu, W.; Xia, Z.K. Crescentic glomerulonephritis in children: Short-term follow-up predicts long-term outcome. Front. Pediatr. 2023, 11, 1206168. [Google Scholar] [CrossRef] [Scilit]
- Lameire, N.H.; Levin, A.; Kellum, J.A.; Cheung, M.; Jadoul, M.; Winkelmayer, W.C.; Stevens, P.E. Harmonizing acute and chronic kidney disease definition and classification: Report of a Kidney Disease: Improving Global Outcomes (KDIGO) Consensus Conference. Kidney Int. 2021, 100, 516–526. [Google Scholar] [CrossRef] [Scilit]
- Geetha, D.; Jefferson, J.A. ANCA-Associated Vasculitis: Core Curriculum 2020. Am. J Kidney Dis. 2020, 75, 124–137. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Massicotte-Azarniouch, D.; Herrera, C.A.; Jennette, J.C.; Falk, R.J.; Free, M.E. Mechanisms of vascular damage in ANCA vasculitis. Semin. Immunopathol. 2022, 44, 325–345. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Zoshima, T.; Hara, S.; Suzuki, K.; Yoshida, M.; Konishi, M.; Hibino, S.; Suda, T.; Hoshiba, R.; Kawahara, H.; Horita, S.; et al. Long-term outcomes of lupus nephritis with low-level proteinuria: A multicenter, retrospective study. Rheumatology 2023, kead624. Epub ahead of print. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Austin, K.; Janagan, S.; Wells, M.; Crawshaw, H.; McAdoo, S.; Robson, J.C. ANCA Associated Vasculitis Subtypes: Recent Insights and Future Perspectives. J. Inflamm. Res. 2022, 15, 2567–2582. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Wang, J.; Li, R.; Zhou, W.; Lin, Y.; Wang, X.; Ye, S.; Lu, L.; Zhang, M.; Chen, S. Clinical phenotypes and prognoses of microscopic polyangiitis based on kidney biopsies. Arthritis Res. Ther. 2023, 25, 239. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Floyd, L.; Morris, A.D.; Elsayed, M.E.; Shetty, A.; Baksi, A.; Geetha, D.; Dhaygude, A.; Mitra, S. A Meta-Analysis and Cohort Study of Histopathologic and Clinical Outcomes in ANCA-Negative versus -Positive Vasculitis. Kidney360 2023, 4, 69–77. [Google Scholar] [CrossRef] [Scilit]
- Gluhovschi, C.; Gadalean, F.; Velciov, S.; Nistor, M.; Petrica, L. Three Diseases Mediated by Different Immunopathologic Mechanisms-ANCA-Associated Vasculitis, Anti-Glomerular Basement Membrane Disease, and Immune Complex-Mediated Glomerulonephritis-A Common Clinical and Histopathologic Picture: Rapidly Progressive Crescentic Glomerulonephritis. Biomedicines 2023, 11, 2978. [Google Scholar] [CrossRef] [Scilit]
- Chen, M.; Kallenberg, C.G.; Zhao, M.H. ANCA-negative pauci-immune crescentic glomerulonephritis. Nat. Rev. Nephrol. 2009, 5, 313–318. [Google Scholar] [CrossRef] [Scilit]
- Ronsin, C.; Georges, M.; Chapelet-Debout, A.; Augusto, J.F.; Audard, V.; Lebourg, L.; Rubin, S.; Quemeneur, T.; Bataille, P.; Karras, A.; et al. ANCA-Negative Pauci-immune Necrotizing Glomerulonephritis: A Case Series and a New Clinical Classification. Am. J. Kidney Dis. 2022, 79, 56–68.e1. [Google Scholar] [CrossRef] [Scilit]
- Schirmer, J.H.; Sanchez-Alamo, B.; Hellmich, B.; Jayne, D.; Monti, S.; Luqmani, R.A.; Tomasson, G. Systematic literature review informing the 2022 update of the EULAR recommendations for the management of ANCA-associated vasculitis (AAV), part 1-treatment of granulomatosis with polyangiitis and microscopic polyangiitis. RMD Open. 2023, 9, e003082. [Google Scholar] [CrossRef] [Scilit]
- Choi, S.E.; Fogo, A.B.; Lim, B.J. Histologic evaluation of activity and chronicity of lupus nephritis and its clinical significance. Kidney Res. Clin. Pract. 2023, 42, 166–173. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Rojas-Rivera, J.E.; Bakkaloglu, S.A.; Bolignano, D.; Nistor, I.; Sarafidis, P.A.; Stoumpos, S.; Cozzolino, M.G.; Ortiz, A. Chronic kidney disease: The missing concept in the 2019 EULAR/ERA-EDTA recommendations for lupus nephritis. Nephrol. Dial. Transplant. 2023, 39, 151–158. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Hanly, J.G.; O’Keeffe, A.G.; Su, L.; Urowitz, M.B.; Romero-Diaz, J.; Gordon, C.; Aranow, C.; Khamashta, M.A.; Sanchez-Guerrero, J.; Farewell, V.; et al. The frequency and outcome of lupus nephritis: Results from an international inception cohort study. Rheumatology 2016, 55, 252–262. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Kronbichler, A.; Bajema, I.; Geetha, D.; Säemann, M. Novel aspects in the pathophysiology and diagnosis of glomerular diseases. Ann. Rheum. Dis. 2023, 82, 585–593. [Google Scholar] [CrossRef] [Scilit]


| Whole Cohort (n = 699) | Group 1 (n = 111) | Group 2 (n = 30) | Group 3 (n = 65) | |
|---|---|---|---|---|
| Age, years, median (IQR) | 48 (34–62) | 37 (29–48) | 51 (37–62) | 57 (41–67) |
| Sex F, n (%) | 364 (52.1) | 92 (82.9) | 15 (50) | 42 (64.6) |
| Serum creatinine, mg/dL, median (IQR) | 1.20 (0.80–2.30) | 1.04 (0.70–1.90) | 1.30 (0.80–2.00) | 3.25 (1.10–6.30) |
| Serum urea, mg/dL, median (IQR) | 41 (23–70) | 40 (21–68) | 35 (22–62) | 86.50 (46–130) |
| eGFR, mL/min/1.73 m2, median (IQR) | 54 (26–88) | 70.5 (34–108) | 52 (34–95) | 16 (7–61) |
| Proteinuria, g/24 h, median (IQR) | 2 (0.85–4.80) | 1.61 (0.90–3.70) | 1.00 (0.50–2.60) | 1.20 (0.50–2.84) |
| UA, n (%) | 280 (40.1) | 57 (51.4) | 17 (56.7) | 16 (24.6) |
| ANS, n (%) | 92 (13.2) | 15 (13.5) | 2 (6.7) | 21 (32.3) |
| NS, n (%) | 235 (33.6) | 31 (27.9) | 5 (16.7) | 13 (20.0) |
| T2DM, n (%) | 41 (5.9) | 3 (2.7) | 3 (10.0) | 3 (4.6) |
| Systemic arterial hypertension, n (%) | 219 (31.3) | 16 (14.4) | 10 (33.3) | 17 (26.2) |
| Hematological diseases, n (%) | 58 (8.3) | 1 (0.9) | 1 (3.3) | 5 (7.7) |
| Infectious diseases, n (%) | 54 (7.7) | 4 (3.6) | 3 (10.0) | 7 (10.8) |
| NSAIDs abuse, n (%) | 8 (1.1) | - | 1 (3.3) | 1 (1.5) |
| Other nephrotoxic drugs, n (%) | 15 (2.2) | 3 (2.7) | 5 (16.7) | 2 (3.1) |
| Anamnesis | n (%) |
|---|---|
| SLE | 85 (76.6) |
| APS | 10 (9.0) |
| CV | 7 (6.3) |
| RA | 1 (0.9) |
| SA | 3 (2.7) |
| SSc | 4 (3.6) |
| SS | 3 (2.7) |
| other connective tissue diseases | 5 (4.5) |
| non-CV vasculitis | 3 (2.7) |
| polymyalgia | 1 (0.9) |
| >1 autoimmune disease | 11 (9.9) |
| myositis | - |
| primary immunodeficiencies | - |
| Kidney biopsy diagnosis | n (%) |
| Primary GN | 0 |
| Secondary GN | 108 (97.3) |
| APSN | 6 (3.6) * |
| CV | 5 (4.5) |
| LN | 91 (81.9) * |
| MPA | 8 (7.2) |
| TIN | 2 (1.8) |
| TIN | 1 (0.9) |
| IgG4 | 1 (0.9) |
| VN | 3 (2.7) |
| SRC | 3 (2.7) |
| Anamnesis | n (%) |
|---|---|
| SLE | 7 (23.3) |
| APS | 1 (3.3) |
| RA | 4 (13.3) |
| SA | 4 (13.3) |
| SSc | 4 (13.3) |
| other IRD | 1 (3.3) |
| non-CV vasculitis | 7 (23.3) |
| >1 IRD | 1 (3.3) |
| myositis | 1 (3.3) |
| primary immunodeficiencies | 2 (6.7) |
| Kidney biopsy diagnosis | n (%) |
| Primary GN | 12 (40) |
| FSGS | 2 (6.7) |
| IgAN | 2 (6.7) |
| MCD | 1 (3.3) |
| MN | 6 (20.0) |
| MPGN | 1 (3.3) |
| Secondary GN | 6 (20.0) |
| Anderson–Fabry disease | 1 (3.3) |
| Diabetic glomerulosclerosis | 3 (10.0) |
| RA-A | 2 (6.7) |
| TIN | 2 (6.7) |
| VN | 8 (26.7) |
| NAS | 8 (26.7) |
| No pathological changes and minimal mesangial abnormalities | 2 (6.7) |
| Kidney Biopsy Diagnosis | n (%) |
|---|---|
| Primary GN | 0 |
| Secondary GN | 63 (98) |
| LN | 24 (36.9) * |
| CV | 4 (6.1) |
| ** Renal microscopic vasculitis | 33 (50.8) |
| PAN | 1 (1.5) |
| APSN | 2 (3.1) * |
| TIN | 1 (1.5) |
| VN | 0 |
| Group 1 (n = 111) | Group 3 (n = 65) | p Value | |
|---|---|---|---|
| Age, years, median (IQR) | 37 (29–48) | 57 (41–67) | <0.001 |
| Sex F, n (%) | 92 (82.9) | 42 (64.6) | <0.001 |
| Serum creatine, mg/dL, median (IQR) | 1.04 (0.70–1.90) | 3.25 (1.10–6.30) | <0.001 |
| Serum urea, mg/dL, median (IQR) | 40 (21–68) | 86.50 (46–130) | <0.001 |
| eGFR, mL/min/1.73 m2, median (IQR) | 70.5 (34–108) | 16 (7–61) | <0.001 |
| Proteinuria, g/24 h, median (IQR) | 1.61 (0.90–3.70) | 1.20 (0.50–2.84) | >0.05 |
| Hematuria, n (%) | 75 (67.6) | 39 (60) | <0.01 |
| UA, n (%) | 57 (51.4) | 16 (24.6) | <0.001 |
| ANS, n (%) | 15 (13.5) | 21 (32.3) | <0.001 |
| [Group 2] (n = 30) | [Group 3] (n = 65) | p Value | |
|---|---|---|---|
| Age, years, median (IQR) | 51 (37–62) | 57 (41–67) | >0.05 |
| Serum creatine, mg/dL, median (IQR) | 1.30 (0.80–2.00) | 3.25 (1.10–6.30) | <0.001 |
| Serum urea, mg/dL, median (IQR) | 35 (22–62) | 86.50 (46–130) | <0.001 |
| eGFR, mL/min/1.73 m2, median (IQR) | 52 (34–95) | 16 (7–61) | <0.001 |
| Proteinuria, g/24 h, median (IQR) | 1.00 (0.50–2.60) | 1.20 (0.50–2.84) | >0.05 |
| Hematuria, n (%) | 18 (60.0) | 39 (60) | <0.01 |
| UA, n (%) | 17 (56.7) | 16 (24.6) | <0.001 |
| ANS, n (%) | 2 (6.7) | 21 (32.3) | <0.001 |
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Gigante, A.; Cianci, R.; Villa, A.; Pellicano, C.; Giannakakis, K.; Rosato, E.; Spinelli, F.R.; Basile, U.; Racco, C.; Di Virgilio, E.M.; et al. Kidney Biopsy and Immuno-Rheumatological Diseases: A Retrospective and Observational Study. J. Pers. Med. 2024, 14, 92. https://doi.org/10.3390/jpm14010092
Gigante A, Cianci R, Villa A, Pellicano C, Giannakakis K, Rosato E, Spinelli FR, Basile U, Racco C, Di Virgilio EM, et al. Kidney Biopsy and Immuno-Rheumatological Diseases: A Retrospective and Observational Study. Journal of Personalized Medicine. 2024; 14(1):92. https://doi.org/10.3390/jpm14010092
Chicago/Turabian StyleGigante, Antonietta, Rosario Cianci, Annalisa Villa, Chiara Pellicano, Konstantinos Giannakakis, Edoardo Rosato, Francesca Romana Spinelli, Umberto Basile, Cosimo Racco, Elena Maria Di Virgilio, and et al. 2024. "Kidney Biopsy and Immuno-Rheumatological Diseases: A Retrospective and Observational Study" Journal of Personalized Medicine 14, no. 1: 92. https://doi.org/10.3390/jpm14010092
APA StyleGigante, A., Cianci, R., Villa, A., Pellicano, C., Giannakakis, K., Rosato, E., Spinelli, F. R., Basile, U., Racco, C., Di Virgilio, E. M., Cerbelli, B., & Conti, F. (2024). Kidney Biopsy and Immuno-Rheumatological Diseases: A Retrospective and Observational Study. Journal of Personalized Medicine, 14(1), 92. https://doi.org/10.3390/jpm14010092

