Characteristics of Adult Patients with Idiopathic Retroperitoneal Fibrosis and Assessment of Risk of Relapse at Diagnosis
Abstract
1. Introduction
2. Materials and Methods
3. Results
4. Discussion
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Vaglio, A.; Salvarani, C.; Buzio, C. Retroperitoneal Fibrosis. Lancet 2006, 367, 241–251. [Google Scholar] [CrossRef]
- Moriconi, D.; Giannese, D.; Capecchi, R.; Cupisti, A.; Barsotti, S.; Morganti, R.; Orsitto, E.; Gaetano Tavoni, A.; Francesca Egidi, M. Risk Factors for Relapse and Long-Term Outcome of Idiopathic Retroperitoneal Fibrosis. Clin. Exp. Nephrol. 2019, 23, 1147–1153. [Google Scholar] [CrossRef] [PubMed]
- Scheel, P.J.; Feeley, N. Retroperitoneal Fibrosis: The Clinical, Laboratory, and Radiographic Presentation. Medicine (Baltimore) 2009, 88, 202–207. [Google Scholar] [CrossRef] [PubMed]
- Fernández-Codina, A.; Martínez-Valle, F.; Castro-Marrero, J.; Detorres, I.; Vilardell-Tarrés, M.; Ordi-Ros, J. Idiopathic Retroperitoneal Fibrosis: A Clinicopathological Study in 24 Spanish Cases. Clin. Rheumatol. 2013, 32, 889–893. [Google Scholar] [CrossRef] [PubMed]
- van Bommel, E.F.H.; Jansen, I.; Hendriksz, T.R.; Aarnoudse, A.L.H.J. Idiopathic Retroperitoneal Fibrosis: Prospective Evaluation of Incidence and Clinicoradiologic Presentation. Medicine (Baltimore) 2009, 88, 193–201. [Google Scholar] [CrossRef] [PubMed]
- Marcolongo, R.; Tavolini, I.M.; Laveder, F.; Busa, M.; Noventa, F.; Bassi, P.; Semenzato, G. Immunosuppressive Therapy for Idiopathic Retroperitoneal Fibrosis: A Retrospective Analysis of 26 Cases. Am. J. Med. 2004, 116, 194–197. [Google Scholar] [CrossRef] [PubMed]
- Accorsi Buttini, E.; Maritati, F.; Vaglio, A. [18F]-Fluorodeoxyglucose Positron Emission Tomography and Response to Therapy in Idiopathic Retroperitoneal Fibrosis. Eur. Urol. 2018, 73, 145–146. [Google Scholar] [CrossRef] [PubMed]
- Morin, G.; Mageau, A.; Benali, K.; Bertinchamp, R.; Piekarski, E.; Raimbourg, Q.; Alexandra, J.-F.; Goulenok, T.; van Gysel, D.; Papo, T.; et al. Persistent FDG/PET CT Uptake in Idiopathic Retroperitoneal Fibrosis Helps Identifying Patients at a Higher Risk for Relapse. Eur. J. Intern. Med. 2019, 62, 67–71. [Google Scholar] [CrossRef] [PubMed]
- Bakir, B.; Yilmaz, F.; Turkay, R.; Ozel, S.; Bilgiç, B.; Velioglu, A.; Saka, B.; Salmaslioglu, A. Role of Diffusion-Weighted MR Imaging in the Differentiation of Benign Retroperitoneal Fibrosis from Malignant Neoplasm: Preliminary Study. Radiology 2014, 272, 438–445. [Google Scholar] [CrossRef] [PubMed]
- Gallais Sérézal, I.; Le Jeune, S.; Belenfant, X.; Bakir, R.; Fain, O.; Mekinian, A.; Gambier, N.; Mouthon, L.; Steichen, O.; Blanche, P.; et al. Idiopathic retroperitoneal fibrosis: A multicentric retrospective study of 30 French cases and follow-up of the renal function. Rev. Med. Internet 2014, 35, 570–576. [Google Scholar] [CrossRef] [PubMed]
- Vaglio, A.; Palmisano, A.; Alberici, F.; Maggiore, U.; Ferretti, S.; Cobelli, R.; Ferrozzi, F.; Corradi, D.; Salvarani, C.; Buzio, C. Prednisone versus Tamoxifen in Patients with Idiopathic Retroperitoneal Fibrosis: An Open-Label Randomised Controlled Trial. Lancet 2011, 378, 338–346. [Google Scholar] [CrossRef]
- Mitchinson, M.J.; Hothersall, D.C.; Brooks, P.N.; De Burbure, C.Y. The Distribution of Ceroid in Human Atherosclerosis. J. Pathol. 1985, 145, 177–183. [Google Scholar] [CrossRef] [PubMed]
- Ramshaw, A.L.; Roskell, D.E.; Parums, D.V. Cytokine Gene Expression in Aortic Adventitial Inflammation Associated with Advanced Atherosclerosis (Chronic Periaortitis). J. Clin. Pathol. 1994, 47, 721–727. [Google Scholar] [CrossRef] [PubMed][Green Version]
- Nicastro, M.; Vescovini, R.; Maritati, F.; Palmisano, A.; Urban, M.L.; Incerti, M.; Fenaroli, P.; Peyronel, F.; Benigno, G.D.; Mangieri, D.; et al. Fibrocytes in Chronic Periaortitis: A Novel Mechanism Linking Inflammation and Fibrosis. Arthritis Rheumatol. 2019, 71, 1913–1922. [Google Scholar] [CrossRef] [PubMed]
- Yuan, F.; Fu, X.; Shi, H.; Chen, G.; Dong, P.; Zhang, W. Induction of Murine Macrophage M2 Polarization by Cigarette Smoke Extract via the JAK2/STAT3 Pathway. PLoS ONE 2014, 9, e107063. [Google Scholar] [CrossRef] [PubMed]
- Yang, D.C.; Chen, C.-H. Cigarette Smoking-Mediated Macrophage Reprogramming: Mechanistic Insights and Therapeutic Implications. J. Nat. Sci. 2018, 4, e539. [Google Scholar] [PubMed]
- Biswas, S.K.; Mantovani, A. Macrophage Plasticity and Interaction with Lymphocyte Subsets: Cancer as a Paradigm. Nat. Immunol. 2010, 11, 889–896. [Google Scholar] [CrossRef] [PubMed]
- Lindell, O.I.; Sariola, H.V.; Lehtonen, T.A. The Occurrence of Vasculitis in Perianeurysmal Fibrosis. J. Urol. 1987, 138, 727–729. [Google Scholar] [CrossRef]
- Wallace, Z.S.; Naden, R.P.; Chari, S.; Choi, H.K.; Della-Torre, E.; Dicaire, J.-F.; Hart, P.A.; Inoue, D.; Kawano, M.; Khosroshahi, A.; et al. The 2019 American College of Rheumatology/European League Against Rheumatism Classification Criteria for IgG4-Related Disease. Ann. Rheum. Dis. 2020, 79, 77–87. [Google Scholar] [CrossRef] [PubMed]
- Wallwork, R.; Wallace, Z.; Perugino, C.; Sharma, A.; Stone, J.H. Rituximab for Idiopathic and IgG4-Related Retroperitoneal Fibrosis. Medicine (Baltimore) 2018, 97, e12631. [Google Scholar] [CrossRef] [PubMed]
Total (n = 21) | Relapse (n = 13) | Relapse Free (n = 8) | p Value | |
---|---|---|---|---|
Mean age (+ /-SD) | 53.90 ± 13.78 | 53.84 ± 11.51 | 54 ± 17.76 | 0.9809 |
Median age | 54 (17–78) | 50 (39–78) | 58 (17–72) | 0.9809 |
Sex M (%) | 12 (57) | 8(61) | 4 (50) | 0.6251 |
Weight | 72.6 (±16.06) | 72.6 (±16.36) | 72.6 (±17.55) | >0.9999 |
Relevant comorbidity at baseline | ||||
History of smoking n (%) | 13 (62) | 8 (61) | 5 (62.5) | 0.9670 |
Current smoker n (%) | 11 (52) | 8 (61) | 3 (38) | 0.3079 |
Former smoker n (%) | 2 (10) | 0 (0) | 2 (25) | 0.0624 |
Never smoker n (%) | 8 (38) | 5 (38) | 3 (38) | 0.9670 |
High blood pressure n (%) | 6 (29) | 3 (23) | 3 (38) | 0.5022 |
Diabetes mellitus | 0 (0) | 0 (0) | 0 (0) | not possible |
Lower limb arteriopathy n (%) | 3 (14) | 1 (8) | 2 (25) | 0.3322 |
Dyslipidemia n (%) | 3 (14) | 1 (8) | 2 (25) | 0.3322 |
Clinical characteristics at baseline | ||||
Fatigue | 4 (19) | 3 (23) | 1 (12.5) | 0.5720 |
Low-grade fever | 2 (10) | 2 (15) | 0 (0) | 0.2655 |
Weight loss > 2% BMI | 11 (52) | 8 (61) | 3 (38) | 0.3079 |
Lumbar pain | 10 (48) | 8 (61) | 2 (25) | 0.1140 |
Abdominal pain | 12 (57) | 7 (54) | 5 (62.5) | 0.7144 |
Total (n = 21) | Relapse (n = 13) | Relapse Free (n = 8) | p Value | |
---|---|---|---|---|
Laboratory tests at diagnosis | ||||
Mean C Reactive Protein | 35 ± 28 | 40 ± 34 | 27 ± 15 | 0.3368 |
Median C Reactive Protein | 27 (3.6–131) | 17 (1–131) | 26 (3.6–49.7) | |
Mean Hb | 12.5 ± 2.4 | 12.8 ± 2.40 | 12.1 ± 1.7 | 0.4922 |
Median Hb | 12 (9.2–15.9) | 12.7 (9.2–15.9) | 11.8 (10.3–15.4) | |
Mean creatinine level | 103 ± 55 | 91 ± 42 | 120 ± 72 | 0.2748 |
Median creatinine level | 79.8 (48–264) | 78 (48-193) | 102 (56–264) | |
Mean creatinine clearance | 79 ± 32 | 86 ± 28 | 68 ± 35 | 0.2578 |
Median creatinine clearance | 84 (16–123) | 84 (37–123) | 54 (16–117) | |
Positive antinuclear antibodies (>1/80) | 9 (43) | 7 (54) | 2 (25) | 0.1649 |
Positive ANCA antibodies | 0 (0) | 0 (0) | 0 (0) | not possible |
Radiological findings at diagnosis | ||||
Ultrasound for diagnosis n (%) | 5 (24) | 2 (15) | 3 (38) | 0.3739 |
Computed tomography n (%) | 21 (100) | 13 (100) | 8 (100) | not possible |
Periaortic infiltration n (%) | 21 (100) | 14 (100) | 9 (100) | not possible |
Ureteral infiltration n (%) | 14 (66) | 8 (61) | 6 (75) | 0.5489 |
FDG-PET at diagnosis n (%) | 14 (66) | 8 (61) | 6 (75) | 0.5490 |
PET findings at diagnosis | ||||
Radiotracer uptake on fibrosis n (%) | 11 (79) | 5 (62.5) | 6 (100) | 0.1044 |
No radiotracer uptake on fibrosis n (%) | 3 (21) | 3 (37.5) | 0 (0) | 0.1044 |
Biopsy at diagnosis n (%) | 6 (29) | 5 (62.5) | 1 (12.5) | 0.2205 |
Surgical interventions | ||||
Double-J catheters n (%) | 9 (43) | 4 (31) | 5 (62.5) | 0.1694 |
Ureterolysis n (%) | 1 (4.8) | 1 (8) | 0 (0) | 0.4489 |
Medical treatment at diagnosis | ||||
Corticosteroids n (%) | 19 (90) | 12 (92) | 7 (87.5) | 0.7318 |
Immunosuppressive agents n (%) | 0 (0) | 0 (0) | 0 (0) | not possible |
Mean steroids duration | 26 ± 13 | 30 ± 15 | 23 ± 10 | 0.4383 |
Median steroids duration | 26 (12–48) | 36 (12–48) | 20 (14–36) | 0.4383 |
Authors | Current Study | Gallais Sérézal [10] | van Bommel [5] | Vaglio [11] | Fernandez-Codina [4] | Scheel [3] | Marcolongo [6] | Moriconi [2] | |
---|---|---|---|---|---|---|---|---|---|
Study design | Multicentric retrospective | Multicentric retrospective | Monocentric prospective | Randomized control trial | Monocentric retrospective | Monocentric retrospective | Monocentric retrospective | Monocentric retrospective | |
Country | France | France | Netherlands | Italy | Spain | USA | Italy | Italy | |
Years duration | 1993–2020 | 1987–2011 | 1998–2008 | 2000–2006 | 1982–2009 | 2003–2009 | 1990–2002 | 2004–2018 | |
Number of patients | 21 | 30 | 53 | 18 (steroids) | 18 (tamoxifen) | 24 | 48 | 26 | 43 |
Age at diagnosis | 53.90 ± 13.78 | 55 ± 13 | 64 | 56 | 61 | 51 ± 16 | 54,2 | 56 | 55 |
M/F ratio | 1.33/1 | 4.9/1 | 3.3/1 | 2/1 | 1.5/1 | 3.8/1 | 1.18/1 | 2.7/1 | 1.6/1 |
Duration of symptoms before diagnosis (month) | NA | 1.2 ± 10 | 8.3 | NA | NA | 5.2 ± 5.1 | NA | NA | NA |
Pain (%) | 12 (57) | 25 (83) | 49 (92) | 16 (89) | 17 (94) | 19 (79) | 45 (94) | NA | 20 (47.5) |
Tobacco (%) | 13(62%) | 20 (67) | 22 (41) | ND | ND | NA | NA | NA | 18 (48) |
CRP value at diagnosis (mg/L) | 35 ± 28 | 45 ± 36 | 23 | 26.5 | 27.5 | NA | NA | NA | 22.5 |
Creatinine level at diagnosis (µmol/L) | 103 ± 55 | 156 ± 151 | 124 | 137 | 128 | 492 ± 413 | NA | NA | NA |
Number of biopsies (%) | 7(33) | 11 (37) | NA | 10 (56) | 10 (56) | 13 (54) | NA | 5 (19) | 20 (0.46) |
Duration of follow-up (months) | 40 | 65 ± 65 | NA | 57 | 54 | 24 | NA | 49 | 90 ± 56 |
Relapse | 13 (61) | 20 (69) | ND | 3 (17) | 9 (50) | 1 (4) | ND | 7 (27) | 15 (34) |
Chronic renal failure | 8 (38) | 7 (24) | ND | ND | ND | 10 (42) | ND | ND | 13 (32) |
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Razanamahery, J.; Bouldoires, B.; Humbert, S.; Bielefeld, P.; Fournier, V.; Bonnotte, B.; Blaison, G.; Magy-Bertrand, N. Characteristics of Adult Patients with Idiopathic Retroperitoneal Fibrosis and Assessment of Risk of Relapse at Diagnosis. J. Clin. Med. 2021, 10, 1380. https://doi.org/10.3390/jcm10071380
Razanamahery J, Bouldoires B, Humbert S, Bielefeld P, Fournier V, Bonnotte B, Blaison G, Magy-Bertrand N. Characteristics of Adult Patients with Idiopathic Retroperitoneal Fibrosis and Assessment of Risk of Relapse at Diagnosis. Journal of Clinical Medicine. 2021; 10(7):1380. https://doi.org/10.3390/jcm10071380
Chicago/Turabian StyleRazanamahery, Jerome, Bastien Bouldoires, Sebastien Humbert, Philip Bielefeld, Veronique Fournier, Bernard Bonnotte, Gilles Blaison, and Nadine Magy-Bertrand. 2021. "Characteristics of Adult Patients with Idiopathic Retroperitoneal Fibrosis and Assessment of Risk of Relapse at Diagnosis" Journal of Clinical Medicine 10, no. 7: 1380. https://doi.org/10.3390/jcm10071380
APA StyleRazanamahery, J., Bouldoires, B., Humbert, S., Bielefeld, P., Fournier, V., Bonnotte, B., Blaison, G., & Magy-Bertrand, N. (2021). Characteristics of Adult Patients with Idiopathic Retroperitoneal Fibrosis and Assessment of Risk of Relapse at Diagnosis. Journal of Clinical Medicine, 10(7), 1380. https://doi.org/10.3390/jcm10071380