| Literature DB >> 33811499 |
Stefanie D Wade1, Vasileios C Kyttaris2.
Abstract
B-cell targeted therapies, such as rituximab (RTX), are used widely in autoimmune rheumatic diseases (AIRD). RTX can cause hypogammaglobulinemia and predispose patients to infections. Herein, we asked whether the underlying diagnosis influences the risk for hypogammaglobulinemia in patients treated with RTX. All patients who received RTX infusions and carried a diagnosis of rheumatoid arthritis (RA), ANCA-associated vasculitis (AAV), or connective tissue disease (CTD) were included in this single-center retrospective cohort study. We used STATA® for analysis: Chi-square test was used for comparing categorical variables. Based on distribution, continuous variables were compared using the t test/ANOVA or the Wilcoxon/Kruskal-Wallis tests. Of the 163 patients who received RTX for an AIRD, 60 with pre- and post- RTX immunoglobulins were analyzed. A higher incidence of post-treatment hypogammaglobulinemia was seen in AAV (45%) compared to RA (22%) and CTD (9.1%) groups (p = 0.03). Glucocorticoid exposure of 10 mg or more was identified as a significant risk factor for hypogammaglobulinemia. Finally, we observed a higher number of clinically significant infections per person in the AAV group than in the RA and CTD groups. We observed an increased incidence of hypogammaglobulinemia in the RTX-treated AAV group, with almost half of patients developing post-RTX hypogammaglobulinemia. The rate of infections per person was highest in the AAV group. Screening immunoglobulins were not consistently measured pre- and post-RTX. Results highlight a need for increased awareness of the role of immunoglobulin measurement before maintenance doses of RTX, especially in patients with AAV and steroid exposure.Entities:
Keywords: Autoimmune disease; Hypogammaglobulinemia; Infection; Rituximab; Vaccination
Mesh:
Substances:
Year: 2021 PMID: 33811499 PMCID: PMC8019084 DOI: 10.1007/s00296-021-04847-x
Source DB: PubMed Journal: Rheumatol Int ISSN: 0172-8172 Impact factor: 3.580
Fig. 1Patients with AIRD treated with rituximab were included in the study. We excluded patients without a well-established diagnosis of AAV, RA, or CTD, after comprehensive chart review, those without follow-up at our center, those who received RTX for a non-rheumatologic indication, and those who received concomitant Ig replacement for the treatment of their underlying disease (second row). Of the remaining patients, we analyzed those who had IgG measurements before and after rituximab treatment (fourth row); however, we reported on infections for the whole cohort (third row). AIRD autoimmune rheumatic disease, AAV anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis, C-ANCA cytoplasmic-ANCA, CCP cyclic citrullinated peptide, CTD connective tissue disease, IIM idiopathic inflammatory myopathy, Ig immunoglobulin, MCTD mixed connective tissue disease, P-ANCA perinuclear-ANCA, RA rheumatoid arthritis, RF rheumatoid factor, SLE systemic lupus erythematosus, SS Sjogren’s syndrome, UCTD undifferentiated connective tissue disease
Characteristics of patients treated with rituximab
| All patients ( | RA ( | AAV ( | CTD ( | |
|---|---|---|---|---|
| Gender | 122 (74.8) | 44 (77.2) | 34 (65.4) | 44 (81.5) |
| Race (% Caucasian) | 161(71.4) | 44 (77.2) | 42 (82.4) | 29 (53.7) |
| Age at first RTX, mean (SD) | 55.9 (15.5) | 56.4 (13.6) | 61.6 (15.5) | 49.9 (15.3) |
| Disease duration (years) at first RTX, median (IQR) | 3 (0, 10) | 10 (4, 18) | 0 (0, 1) | 2 (1, 6) |
| # Co-morbidities, median (IQR) | 2 (1, 3) | 2 (1, 3) | 3 (2, 4) | 2 (1, 3) |
| # Prior conventional DMARD, median (IQR) | 2 (1, 2) | 2 (1, 2) | 0 (0, 1) | 2 (1, 3) |
| # Prior biologic DMARD, median (IQR) | 0 (0, 2) | 2 (1, 3) | 0 (0, 0) | 0 (0, 0) |
| PJP prophylaxis, | 73 (45.6) | 2 (3.5) | 47 (94.0) | 23 (42.6) |
| Influenza vaccine, | 102 (81.6) | 33 (75.0) | 40 (85.1) | 29 (85.3) |
| PPSV23, | 84 (84.8) | 31 (86.1) | 30 (81.1) | 21 (80.8) |
| PCV13, | 49 (50.6) | 18 (50.0) | 12 (38.7) | 15 (68.2) |
| Past cyclophosphamide, | 26 (16.0) | 1 (1.8) | 20 (38.5) | 5 (9.3) |
| Concomitant DMARD (yes/no), | 61 (37.4) | 24 (42.1) | 7 (13.5) | 32 (59.3) |
| Steroids ≥ 10 mg/day, | 101 (62.0) | 16 (28.1) | 51 (98.1) | 35 (64.8) |
| Duration of RTX (m), median (IQR) | 11 (1, 30) | 19 (6, 56) | 7 (1, 24.5) | 1 (1, 22) |
| Pre-RTX Ig Assessment, | 114 (69.9) | 38 (66.7) | 32 (61.5) | 44 (81.5) |
| Pre-RTX hypogammaglobulinemia n, (%) | 3 (2.6) | 1 (2.6) | 1 (1.9) | 1 (1.9) |
| Post-RTX Ig Assessment, | 80 (49.1) | 23 (40.4) | 29 (55.8) | 28 (51.9) |
| Post-RTX hypogammaglobulinemia, | 17 (21.2) | 5 (21.7) | 11 (37.9) | 3 (10.7) |
| Cumulative RTX at post RTX Ig Assessment (g), median (IQR) | 3 (2, 5) | 3 (2, 6.8) | 3 (2.4, 4.2) | 2.95 (2, 5.5) |
| Pre & post-RTX Ig Assessment, | 60 (36.8) | 18 (31.6) | 20 (38.5) | 22 (40.7) |
Timing of vaccines was variable in relation to first RTX dose. Co-morbidities included coronary artery disease or equivalent, hypertension, diabetes mellitus, chronic kidney disease, chronic liver disease, or malignancy; cumulative RTX dose was calculated from the time of the first RTX infusion until the time of the post-RTX IgG measurement
Ig Immunoglobulin, PCV13 pneumococcal conjugate vaccine, PJP pneumocystis jirovecii pneumonia, PPSV23: pneumococcal polysaccharide vaccine. Normally distributed continuous variables are presented as mean (standard deviation—SD). Non-normally distributed continuous variables are presented as median (inter quartile range—IQR)
Characteristics of patients with pre- and post-RTX immunoglobulin measurements
| Patients ( | RA ( | AAV ( | CTD ( | |
|---|---|---|---|---|
| Gender (% female) | 12 (66.7) | 14 (70.0) | 19 (86.4) | 0.29 |
| Race (% Caucasian) | 14 (77.8) | 12 (63.0) | 15 (68.1) | 0.62 |
| Disease duration (years) at first RTX, median (IQR) | 6 (3, 22) | 1 (0, 2.5) | 2 (1, 6) | < 0.01 |
| Age at first RTX, mean (SD) | 62.2 (13.1) | 58.0 (18.3) | 53 (11.5)) | 0.14 |
| Cumulative RTX (g), median (IQR) | 2.5 (2, 6.8) | 2.95 (2.4, 4.1) | 2.85 (2, 4) | 0.71 |
| # Co-morbidities, median (IQR) | 2 (1, 3) | 2.5 (1, 4) | 2 (1, 3) | 0.64 |
| Past cyclophosphamide, | 0 (0) | 7 (35.0) | 1 (4.5) | < 0.01 |
| Concomitant DMARD (yes/no) | 7 (38.9) | 3 (15.0) | 13 (59.0) | 0.01 |
| Steroids ≥ 10 mg/day, | 7 (38.9) | 20 (100.0) | 13 (59.1) | < 0.01 |
Cumulative RTX dose was calculated from the time of the first RTX infusion until the time of the post-RTX IgG measurement. Co-morbidities included coronary artery disease or equivalent, hypertension, diabetes mellitus, chronic kidney disease, chronic liver disease, or malignancy. Normally distributed continuous variables are presented as mean (Standard Deviation—SD). Non-normally distributed continuous variables are presented as median (Inter Quartile Range—IQR). Normally distributed variables were compared using ANOVA. Non-normally distributed variables were compared using the Kruskal–Wallis test
The Chi-square was used to compare dichotomous variables
Fig. 2Incidence of rituximab-associated hypogammaglobulinemia across RA, AAV, and CTD patients. AAV ANCA-associated vasculitis, CTD connective tissue disease, RA rheumatoid arthritis. The Chi-square test was used for among groups’ comparisons
Features of patients who developed rituximab-associated hypogammaglobulinemia compared to patients without hypogammaglobulinemia
| Non-hypogammaglobulinemic | Hypogammaglobulinemic | ||
|---|---|---|---|
| Patients, | 45 | 15 | |
| Female gender, | 34 (75.6) | 11 (73.3) | 0.86 |
| Caucasian Race, | 29 (64%) | 12 (86%) | 0.13 |
| Age at first RTX, mean (SD) | 56.2 (15.4) | 61.1 (12.5) | 0.27 |
| # Co-morbidities, median (IQR) | 2 (1, 3) | 3 (1, 4) | 0.34 |
| # Prior DMARDS median (IQR) | 2 (1, 3) | 1 (0, 4) | 0.81 |
| Past cyclophosphamide, | 5 (11.1) | 3 (20.0) | 0.38 |
| Concomitant DMARD, | 19 (42.2) | 4 (26.7) | 0.28 |
| Cumulative RTX (g), median (IQR) | 2.8 (2, 4) | 4 (2.4, 6) | 0.18 |
| Prednisone ≥ 10 mg/day, | 27 (60.0) | 13 (86.7) | < 0.05 |
Concomitant DMARD’s included simultaneous treatment with methotrexate, leflunomide, mycophenolate mofetil, or azathioprine. Cumulative RTX dosing was calculated from the time of the first RTX infusion until the time of the post-RTX IgG measurement. Normally distributed continuous variables are presented as mean (Standard Deviation—SD). Non-normally distributed continuous variables are presented as median (Inter Quartile Range-IQR). Normally distributed variables were compared using t test. Non-normally distributed variables were compared using the Wilcoxon test
The Chi-square was used to compare dichotomous variables