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Enregistrement W3198245938 · doi:10.1093/rap/rkab070

Use of subcutaneous immunoglobulin in inflammatory myositis

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

Notice bibliographique

RevueRheumatology Advances in Practice · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueInflammatory Myopathies and Dermatomyositis
Établissements canadiensOttawa HospitalUniversity of Ottawa
Organismes subventionnairesnon disponible
Mots-clésMedicineMyositisAntibodyImmunoglobulin GImmunologyDermatologyPathology

Résumé

récupéré en direct d'OpenAlex

•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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,010
Tête enseignante GPT0,287
Écart entre enseignants0,277 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations6
Publié2021
Routes d'admission1
Résumé présentnon

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