| Literature DB >> 34777374 |
Balazs Odler1, Martin Windpessl2,3, Marcell Krall1, Maria Steiner3, Regina Riedl4, Carina Hebesberger1, Martin Ursli5, Emanuel Zitt6, Karl Lhotta6, Marlies Antlanger7, Daniel Cejka8, Philipp Gauckler9, Martin Wiesholzer5, Marcus Saemann10, Alexander R Rosenkranz1, Kathrin Eller1, Andreas Kronbichler9,11.
Abstract
Objective: To characterize the incidence, type, and risk factors of severe infections (SI) in patients with autoimmune kidney diseases treated with rituximab (RTX).Entities:
Keywords: glomerular disease; infections; lupus; nephritic; nephrotic; rituximab; vasculitis
Mesh:
Substances:
Year: 2021 PMID: 34777374 PMCID: PMC8586204 DOI: 10.3389/fimmu.2021.760708
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561
Baseline patient characteristics in the whole study population and stratified according to the classification on nephritic or nephrotic groups.
| Whole study population | Patients with nephritic diseases | Patients with nephrotic diseases | p-value | |
|---|---|---|---|---|
| Age (years) | 61.2 (20.4, 83.8) | 65.1 (21.1, 83.8) | 57.6 (20.4, 78.7) |
|
| BMI (kg/m2) | 26.2 (17.7, 39.9) | 25.6 (17.7, 37.6) | 27.3 (19.9, 39.9) |
|
| Female sex, n (%) | 51 (35.4) | 39 (47.0) | 12 (19.7) |
|
| Diagnosis, n (%) | ||||
| AAV | 78 (54.2) | 78 (94.0) | – | – |
| LN | 3 (2.1) | 3 (3.6) | – | – |
| MPGN | 1 (0.7) | 1 (1.2) | – | – |
| IgG4RD | 1 (0.7) | 1 (1.2) | – | – |
| MN | 48 (33.3) | – | 48 (78.7) | – |
| MCD | 8 (5.6) | – | 8 (13.1) | – |
| FSGS | 5 (3.5) | – | 5 (8.2) | – |
| Comorbidities, n (%) | ||||
| Pulmonary disease | 12 (8.3) | 7 (8.4) | 5 (8.2) | 1 |
| Cardiovascular disease | 30 (20.8) | 15 (18.1) | 15 (24.6) | 0.408 |
| Diabetes mellitus | 17 (11.8) | 9 (10.8) | 8 (13.1) | 0.795 |
| Arterial hypertension | 93 (64.6) | 53 (63.9) | 40 (65.6) | 0.862 |
| Dialysis (any time), n (%) | 25 (17.4) | 25 (30.1) | 0 (0) |
|
| Creatinine (mg/dL)* | 1.3 (0.6, 15.4) | 1.7 (0.7, 15.4) | 1.2 (0.6, 2.8) |
|
| Prior IS, n (%) | ||||
| MMF | 17 (11.8) | 11 (13.3) | 6 (9.8) | 0.608 |
| CNI | 29 (20.1) | 0 (0) | 29 (47.5) |
|
| CYC | 53 (36.8) | 49 (59.0) | 4 (6.6) |
|
| RTX induction protocol, n (%) | ||||
| 1000 mg | 62 (43.1) | 34 (41.0) | 28 (45.9) |
|
| 375 mg/m2
| 64 (44.4) | 32 (38.6) | 32 (52.5) | |
| Other | 18 (12.5) | 17 (20.5) | 1 (1.6) | |
| RTX maintenance, n (%) | 72 (50.0) | 49 (59.0) | 23 (37.7) |
|
Statistically significant p-values appear in boldface type (p < 0.05). Continuous variables are expressed as median (minimum and maximum). Categorical variables are n (%). *Non-dialysis dependent patients. AAV, anti-neutrophil cytoplasmatic antibody (ANCA), associated vasculitis; BMI, body mass index; CNI, calcineurin inhibitor; CYC, cyclophosphamide; FSGS, focal segmental glomerulosclerosis; GN, glomerulonephritis; IgG4RD, immunoglobulin G4-related disease; IS, immunosuppression; LN, lupus nephritis; MCD, minimal change disease; MN, membranous nephropathy; MMF, mycophenolate-mofetil; MPGN, membranoproliferative glomerulonephritis; RTX, rituximab.
Figure 1The distribution of all severe infections according to the infection sites in the nephritic and nephrotic groups.
Figure 2Kaplan-Meier curves for infection-free survival within the first 12 months after the first rituximab administration in patients with nephritic (blue line) and nephrotic (red line) syndrome.
Multivariable Cox regression analysis on the predictors of severe infections within 12 months after the first rituximab administration.
| Covariate | Hazard ratio | 95% confidence interval | p-value |
|---|---|---|---|
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| Dialysis | 0.90 | 0.22-3.76 | 0.887 |
| Arterial hypertension | 2.40 | 0.65 – 8.86 | 0.189 |
Statistically significant p-values appear in boldface type (p < 0.05). BMI, body mass index.