| Literature DB >> 36051631 |
Corrado Campochiaro1, Maria Grazia Lazzaroni2,3, Cosimo Bruni4,5,6, Elisabetta Zanatta7, Giacomo De Luca8, Marco Matucci-Cerinic8,4,5.
Abstract
Background: The results of randomized controlled (RCT) and retrospective studies have expanded the armamentarium of drugs for systemic sclerosis (SSc) - interstitial lung disease (ILD) treatment. The correct positioning of these drugs is not yet clarified.Entities:
Keywords: abatacept; combination therapy; efficacy; interstitial lung disease; nintedanib; rituximab; safety; systemic sclerosis; tocilizumab
Year: 2022 PMID: 36051631 PMCID: PMC9425887 DOI: 10.1177/1759720X221116408
Source DB: PubMed Journal: Ther Adv Musculoskelet Dis ISSN: 1759-720X Impact factor: 3.625
Figure 1.PRISMA flow diagram of the systematic literature review.
Characteristics of studies included in the systemic literature review investigating rituximab, tocilizumab, abatacept, and nintedanib in SSc-ILD patients.
| Rituximab | Tocilizumab | Abatacept | Nintedanib | |
|---|---|---|---|---|
| Number of studies | 34 | 5 | 2 | 1 |
| Number of studies with control group | 14 (41%) | 3 (60%) | 0 | 1 |
| Number of RCTs | 1 (3%) | 3 (60%) | 0 | 1 (100%) |
| Number of patients | 1001 | 232 | 34 | 288 |
| Number of ILD patients | 691 | 41 | 21 | 288 |
| Age of patients (range of median age, years) | 35–59 | 51–57 | 61 and 55 | Mean 54 ± 12 |
| Age of ILD patients (range of median age) | 35–59
| 57
| – | Mean 54 ± 12 |
| Female patients, % (range) | 82 (71–89) | 83.5 (79.5–90) | 93 and 71 | 75 |
| ILD female patients, % (range) | 83 (76–91) | 100
| – | 75 |
| Number of control patients | 9825 | 181 | 0 | 288 |
| Limited SSc (% median, range) | 13 (0–42) | 0–47
| 67 and 57 | 48 |
| Disease duration, years (range) | 0.6–11.4
| 0.7–1.5
| 7 and 13 | 3.4 (0.3–7.1)
|
| Definition of ILD (number of studies) | 24 (72%) | 2 (40%) | 2 (100%) | 1 (100%) |
| HRCT | 11 (46%) | 1 (50%) | 2 (100%) | 0 |
| PFT | 0 | 1 (50%) | 0 | 0 |
| Both | 13 (54%) | 0 | 0 | 1 (00%) |
| ILD duration (range of median, months) | 7–100
| 7
| – | – |
| Concomitant immunosuppression | ||||
| MMF (number of studies) | 17/29 (59%) | 1/4 (25%) | 0 | 1 (100%) |
| MMF (% of patients in included studies) | 28 (11–45) | 100 | – | 48.3 |
| MTX, AZA, Steroid > 10, CYC (number of studies) | 20/34 (59%) | 2/4 (50%) | 2 (100) | 1 (100%) |
| MTX, AZA, Steroid > 10, CYC (% of patients in included studies) | 39 (11–75.5) | 57–78 | 67–71 | 8 |
| Dose regimens/number of studies | Available in 28 studies: | Available in all studies: | Available in all studies | 1 study |
| Follow-up time (range of mean, months) | 6–84 | 6–24 | 11–28 | 12 |
AZA, azathioprine; b, versus baseline; c, versus controls; CYC, cyclophosphamide; HRCT, high-resolution computed tomography; ILD, interstitial lung disease; MMF, mycophenolate mofetil; MTX, methotrexate; PFT, pulmonary function tests; RCT, randomized clinical trials; SSc, systemic sclerosis; –, not available.
Available in 11 (32%) studies.
Available in a single study (20%).
Available in 4 studies (80%).
Available in 28 (82%) studies.
Available in 3 studies (60%).
Minimum, maximum.
Available in 10 (29%) studies.
Baseline and follow-up data of studies included in the systemic literature review investigating rituximab, tocilizumab, abatacept, and nintedanib in SSc-ILD patients.
| Rituximab | Tocilizumab | Abatacept | Nintedanib | |
|---|---|---|---|---|
| Baseline FVC, reported in | In all studies | In 4 (80%) | In all studies | 1 study (100%) |
| • Studies reporting mean or median <80% | 21 (62%) | 4 (100%) | 1 (50%) | 1 (100%) |
| • Studies reporting mean or median <60% | 2 (6%) | 0 | 0 | 0 |
| Baseline DLCO, reported in | 25 studies (73%) | 4 studies (80%) | 2 studies (100%) | 1 study (100%) |
| • Studies reporting mean or median <80% | 25 (100%) | 4 (100%) | 2 (100%) | 1 (100%) |
| • Studies reporting mean or median <60% | 21 (76%) | 1 (25%) | 0 | 0 |
| 3-month FU data (significant change) | ||||
| • Number of studies | 4 (12%) | 1 (20%) | – | – |
| • Number of patients | 58 | 15 | – | – |
| • Studies showing FVC improvement | 1c (25%) | 0 | – | – |
| • Studies showing FVC worsening | 0 | 0 | – | – |
| • Studies showing DLCO improvement | 1 (25%) | 0 | – | – |
| • Studies showing DLCO worsening | 1 (25%) | 0 | – | – |
| 6-month FU data (significant change) | ||||
| • Number of studies | 14 (42%) | 1 (20%) | 2 (100%) | – |
| • Number of patients | 262 | 43 | 34 | – |
| • Studies showing FVC improvement | 1c (7%) and 4b (29%) | – | 0 | – |
| • Studies showing FVC worsening | 1c (7%) | 1c (100%) | 0 | – |
| • Studies showing DLCO improvement | 3c (21%) and 2b (14%) | – | 1c (50%) | – |
| • Studies showing DLCO worsening | 0 | – | 0 | – |
| 12-month FU data (significant change) | ||||
| • Number of studies | 20 (59%) | 3 (60%) | 1 (50%) | 1 (100%) |
| • Number of patients | 420 | 173 | 27 | 288 |
| • Studies showing FVC improvement | 2c (10%) and 10b (50%) | 0 | 0 | 0 |
| • Studies showing FVC worsening | 0 | 0 | 0 | 16.7% |
| • Studies showing DLCO improvement | 2c (10%) and 7b (35%) | 2 (66.7%) | 0 | – |
| • Studies showing DLCO worsening | 0 | 0 | 0 | – |
| 24-month FU data (significant change) | ||||
| • Number of studies | 9 (26%) | – | – | – |
| • Number of patients | 144 | – | – | – |
| • Studies showing FVC improvement | 1c (11%) and 4b (44%) | – | – | – |
| • Studies showing FVC worsening | 0 | – | – | – |
| • Studies showing DLCO improvement | 1c (11%) and 2b (22%) | – | – | – |
| • Studies showing DLCO worsening | 0 | – | – | – |
| • Latest FU data (significant change) | Range 3–7 years | – | – | – |
| • Number of studies | 6 (17%) | – | – | – |
| • Number of patients | 457 | – | – | – |
| • Studies showing FVC improvement | 1c (17%) and 4b (67%) | – | – | – |
| • Studies showing FVC worsening | 0 | – | – | – |
| • Studies showing DLCO improvement | 2b (33%) | – | – | – |
| • Studies showing DLCO worsening | 0 | – | – | – |
| 3-month FU data | ||||
| • Number of studies | 1 (3%) | 1 (20%) | 1 (50%) | – |
| • Number of patients | 18 | 15 | 27 | – |
| • Patients with adverse events | 5.5% | 13% | 33% | – |
| • Patients with severe adverse events | 5.5% | 7% | 11% | – |
| • Patients with infections | 0 | – | 22% | – |
| • Mortality | 5.5% | 0 | 0 | – |
| 6-month FU data | ||||
| • Number of studies | 6 (18%) | 1 (20%) | 2 (100%) | – |
| • Number of patients | 166 | 43 | 34 | – |
| • Patients with adverse events | 22.3% | 88% | 21% | – |
| • Patients with severe adverse events | 10.8% | 21% | 0 | – |
| • Patients with infections | 10.8% | 40% | 34% | – |
| • Mortality | 3% | 2% | 0 | – |
| 12-month FU data | ||||
| • Number of studies | 8 (23.5%) | 2 (40%) | 1 (50%) | 1 (100%) |
| • Number of patients | 159 | 193 | 27 | 288 |
| • Patients with adverse events | 20.8% | – | 15% | 98% |
| • Patients with severe adverse events | 5% | 26% | 3.7% | 24% |
| • Patients with infections | 5% | 14% | 3.7% | 11.5% |
| • Mortality | 2.5% | 4.3% | 0 | 3.5% |
| 24-month FU data | ||||
| • Number of studies | 4 (44.4%) | – | – | – |
| • Number of patients | 144 | – | – | – |
| • Patients with adverse events | 79% | – | – | – |
| • Patients with severe adverse events | 22.9% | – | – | – |
| • Patients with infections | 9% | – | – | – |
| • Mortality | 2.8% | – | – | – |
| Latest follow-up time (months) | ||||
| • Number of studies | 5 (14.7%) | – | – | – |
| • Number of patients | 110 | – | – | – |
| • Patients with adverse events | 24% | – | – | – |
| • Patients with severe adverse events | 10.9% | – | – | – |
| • Patients with infections | 10% | – | – | – |
| • Mortality | 2.6% | – | – | – |
b, versus baseline; c, versus controls; DLCO, diffusion capacity for carbon monoxide; FU, follow-up; FVC, forced vital capacity; –, not available.
Queries about the use of rituximab, tocilizumab, nintedanib, and abatacept from the EUSTAR survey according to pre-defined themes.
| Themes |
| |||||
|---|---|---|---|---|---|---|
| Efficacy | 112 | 100 | 25 | 26 | 27 | 22 |
| Combination | 111 | 73 | 11 | 9 | 40 | 13 |
| Safety | 103 | 81 | 18 | 18 | 36 | 9 |
| Predictors/risk factors | 90 | 65 | 18 | 21 | 14 | 12 |
| Patient selection | 78 | 62 | 16 | 19 | 12 | 15 |
| Conventional immunosuppressants | 75 | 51 | 11 | 7 | 26 | 7 |
| Timing | 72 | 51 | 12 | 15 | 15 | 9 |
| More data needed | 71 | 58 | 14 | 13 | 14 | 17 |
| Drug choice | 68 | 39 | 10 | 7 | 15 | 7 |
| Comparison | 67 | 47 | 12 | 10 | 13 | 12 |
| Infection | 57 | 49 | 20 | 15 | 4 | 10 |
| bDMARD | 48 | 21 | 1 | 0 | 20 | 0 |
| Extra-pulmonary | 45 | 43 | 2 | 18 | 22 | 1 |
| Treatment duration | 39 | 34 | 15 | 8 | 9 | 2 |
| Monotherapy | 36 | 18 | 5 | 1 | 10 | 2 |
| Anti-fibrotics | 33 | 15 | 4 | 4 | 0 | 7 |
| Prophilaxis/vaccination | 21 | 18 | 12 | 2 | 0 | 2 |
| Whether to start treatment | 19 | 18 | 3 | 4 | 7 | 4 |
| Guidelines needed | 18 | 6 | 1 | 1 | 4 | 0 |
| Maintenance/management | 16 | 14 | 2 | 4 | 7 | 1 |
| SARS-Cov-2/COVID-19 | 15 | 15 | 9 | 2 | 1 | 3 |
| Dosage | 15 | 24 | 5 | 3 | 4 | 2 |
| Duration of the disease | 15 | 25 | 3 | 5 | 5 | 2 |
| Reduction of defense | 15 | 23 | 12 | 1 | 0 | 0 |
| Outcomes | 14 | 8 | 4 | 2 | 2 | 2 |
| Quality of life | 11 | 10 | 2 | 3 | 3 | 2 |
| Special populations | 6 | 4 | 1 | 1 | 3 | 0 |
| Which drug to start | 4 | 4 | 1 | 1 | 1 | 1 |
| Prevention | 4 | 4 | 1 | 1 | 1 | 1 |
| Relapse | 3 | 3 | 1 | 1 | 0 | 1 |
| Compliance | 2 | 1 | 0 | 0 | 1 | 0 |
| Stop treatment | 2 | 2 | 1 | 1 | 0 | 0 |
bDMARDs, biologic disease-modifying anti-rheumatic drugs.
Concerns and unanswered questions about the use of rituximab, tocilizumab, nintedanib, and abatacept from our EUSTAR survey.
| Concerns on safety | Rituximab | Concerns with the use of the drug in patient with hypogammaglobulinemia |
| Tocilizumab | Concerns about infections | |
| Nintedanib | Concerns about extra-pulmonary safety | |
| Abatacept | No major concerns | |
| Concerns on efficacy | Rituximab | Concerns about combination with conventional IMS |
| Tocilizumab | More data needed, in particular in different patient subsets different from RCT | |
| Nintedanib | Concerns about treatment duration/long-term efficacy | |
| Abatacept | Concerns about efficacy in general, more data needed | |
| Overall questions | Whether to start | Combination with IMS |
| When to start | Need for identification of predictors to support personalized treatment, in terms of Timing, including both | |
| Which to choose | Need for identification of predictors to support drug choice according to extra-pulmonary features | |
| General questions | More data needed about: |
bDMARDs, biologic disease-modifying anti-rheumatic drugs; ILD, interstitial lung disease; IMS, immunosuppressants; RCT, randomized controlled trial; SSc, systemic sclerosis.