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Record W3198245938 · doi:10.1093/rap/rkab070

Use of subcutaneous immunoglobulin in inflammatory myositis

2021· article· en· W3198245938 on OpenAlexaff
Alan Liang Zhou, Nancy Maltez, Catherine Ivory

Bibliographic record

VenueRheumatology Advances in Practice · 2021
Typearticle
Languageen
FieldMedicine
TopicInflammatory Myopathies and Dermatomyositis
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicineMyositisAntibodyImmunoglobulin GImmunologyDermatologyPathology

Abstract

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•s.c. immunoglobulin could be effective and safe in the treatment of inflammatory myositis. Dear Editor, IVIG is used to treat primary immunodeficiency, neurological, haematological and rheumatic conditions; s.c. immunoglobulin (SCIG) is an alternative route of administering immunoglobulin (Supplementary Table S1, available at Rheumatology Advances in Practice online). Studies have demonstrated that home-based SCIG therapies are cost effective, with similar outcomes, fewer adverse events and improved patient satisfaction compared with IVIG [1, 2]. SCIG has been reported in rheumatic disease, but there have been no randomized controlled trials. Our objective was to summarize published data on the effectiveness and safety of SCIG in CTD. We searched Medline, EMBASE and the Cochrane Central Register of Controlled Trials for clinical studies on SCIG in adults (age ≥18 years) with CTD. Case reports were excluded. Two reviewers (A.L.Z. and C.I.) screened abstracts and full texts independently. Disagreements were resolved through consultation with a third reviewer (N.M.). Reviewers independently extracted data including demographics, diagnosis, prior treatments, effectiveness (defined by disease remission) and safety (defined by mortality and adverse events). We contacted study authors for additional information not reported. Given significant heterogeneity among studies, meta-analysis was not possible, and data were summarized descriptively. Methodological quality was assessed using the National Institutes of Health (NIH) quality assessment tool. We identified 614 articles in our search. Fifty full texts were reviewed, of which 47 were excluded (15 duplicate patient cohorts; 12 case reports; 12 inclusion criteria not met; 5 protocols; 1 corrigendum; 2 insufficient data). Three case series were included for analysis, with a total of 61 patients, all with inflammatory myositis [3–5]. The mean NIH Quality Assessment score was 7.7 of 9. Patient characteristics are summarized in Table 1. Diagnoses included PM (25 of 61, 41%), DM (16 of 61, 26.2%), inclusion body myositis (7 of 61, 11.5%), mixed CTD (6 of 61, 9.8%), necrotizing autoimmune myositis (2 of 61, 3.3%), cancer-associated myositis (2 of 61, 3.3%) and ocular myositis (3 of 61, 4.9%). Two studies used European Neuromuscular Centre diagnostic criteria. Danieli et al. [3] did not report diagnostic criteria, but prior publications by the same group used Bohan and Peter criteria. Previous IVIG was common (45 of 61, 74%); other treatments were insufficiently reported. There was significant variability in SCIG dose (between 0.1 g/kg/week and 60 g/week) and mean duration (between 190 days and 18.8 months). Reasons for initiating SCIG included patient preference, difficult venous access, intolerance or other constraints. Patient demographics and outcomes of selected studies [3–5] 5/6 improvement in mMRC 1/6 worsening 8/9 improvement in mMRC 1/9 worsening 1/2 improvement in mMRC 1/2 worsening 3/5 improvement in mMRC 2/5 worsening 3/6 improvement in MDS 2/6 no change 1/6 worsening 1/2 improvement in MDS 1/2 no change 5/6 improvement in mMRC 1/6 worsening 8/9 improvement in mMRC 1/9 worsening 1/2 improvement in mMRC 1/2 worsening 3/5 improvement in mMRC 2/5 worsening 3/6 improvement in MDS 2/6 no change 1/6 worsening 1/2 improvement in MDS 1/2 no change CAM: cancer-associated myositis; CK: creatine kinase; CPK: creatine phosphokinase; GC: glucocorticoids; IBM: inclusion body myositis; MCTD: mixed CTD; MDS: muscle disability scale; mMRC: modified Medical Research Council; NAM: necrotizing autoimmune myositis; OM: ocular myositis; PLEX: plasma exchange; RTX: rituximab. Patient demographics and outcomes of selected studies [3–5] 5/6 improvement in mMRC 1/6 worsening 8/9 improvement in mMRC 1/9 worsening 1/2 improvement in mMRC 1/2 worsening 3/5 improvement in mMRC 2/5 worsening 3/6 improvement in MDS 2/6 no change 1/6 worsening 1/2 improvement in MDS 1/2 no change 5/6 improvement in mMRC 1/6 worsening 8/9 improvement in mMRC 1/9 worsening 1/2 improvement in mMRC 1/2 worsening 3/5 improvement in mMRC 2/5 worsening 3/6 improvement in MDS 2/6 no change 1/6 worsening 1/2 improvement in MDS 1/2 no change CAM: cancer-associated myositis; CK: creatine kinase; CPK: creatine phosphokinase; GC: glucocorticoids; IBM: inclusion body myositis; MCTD: mixed CTD; MDS: muscle disability scale; mMRC: modified Medical Research Council; NAM: necrotizing autoimmune myositis; OM: ocular myositis; PLEX: plasma exchange; RTX: rituximab. Clinical improvement or stability in muscle strength was reported in 49 of 56 (87.5%) patients; 2 of 2 necrotizing autoimmune myositis patients developed worsening muscle strength in the study by Danieli et al. [3]. Muscle enzymes decreased in all cases except necrotizing autoimmune myositis and cancer-associated myositis patients in the study by Danieli et al. [3], decreased (not statistically significant) in the study by Cherin et al. [4] and remained unchanged in the study by Hachulla et al. [5]. Functional scores improved (statistically significant) in the study by Cherin et al. [4], did not change in the study by Hachulla et al. [5] and were not reported by Danieli et al. [3]. SCIG was well tolerated. Danieli et al. [3] noted mild injection site reactions but did not quantify them, although a previous publication by the same group reported injection site reactions in two of eight patients [6]. The remaining two studies reported injection site reactions (12 of 31), rash (2 of 31), headache (3 of 31), myalgia (4 of 31), fatigue (1 of 31), hot flushes (2 of 31) and diarrhoea (1 of 31). There were no cases of serious infections. One death was reported, unrelated to SCIG use [4]. Our review demonstrates that SCIG is effective in the short-term treatment of myositis as defined by improvement in muscle strength, muscle enzymes and functional scores, both in patients transitioned from IVIG and in those initially treated with SCIG. There might be a lesser effect in necrotizing autoimmune myositis, although sample sizes were too small to draw conclusions. SCIG was well tolerated; the most common adverse event was self-limiting injection site reactions. Our study was limited by paucity of data because the existing literature consisted of small case series. There was significant heterogeneity in SCIG dosing, duration and outcome measures reported, making statistical analysis impossible. Additionally, several studies reported on the same cohort of patients. We contacted authors for clarification, but no responses were received. Best judgement was therefore used to include the most inclusive studies. Although this resulted in omission of some data, this was deemed necessary to avoid multiple publication bias. Review of the excluded publications revealed similar effectiveness and tolerability, with some caveats. For instance, Danieli et al. [7] subsequently reported on cardiac involvement in 11 patients, 6 of whom progressed and 2 died despite SCIG; other non-muscular manifestations improved; that study was excluded because it omitted several patients in comparison to our chosen study. Finally, it has been theorized that SCIG might be less effective in severe manifestations of immune-mediated diseases owing to lower peak serum concentrations [8], but our data were not granular enough to demonstrate this, and head-to-head trials with IVIG in myositis do not exist. This review provides evidence to support SCIG in myositis. Although limited data exist, SCIG appears effective, with a good safety profile. Larger controlled studies are needed to validate the utility of SCIG compared with IVIG across the spectrum of manifestations in myositis. Funding: No specific funding was received from any bodies in the public, commercial, or not-for-profit sectors to carry out the work described in this article. Disclosure statement: The authors have declared no conflicts of interest. No new data were generated or analysed in support of this research. Supplementary data are available at Rheumatology Advances in Practice online.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.287
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations6
Published2021
Admission routes1
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