Development of a New Classification System for Idiopathic Inflammatory Myopathies Based on Clinical Manifestations and Myositis-Specific Autoantibodies.

Kubéraka Mariampillai, Benjamin Granger, Damien Amelin, Marguerite Guiguet, Eric Hachulla, François Maurier, Alain Meyer, Aline Tohmé, Jean-Luc Charuel, Lucile Musset, Yves Allenbach, Olivier Benveniste

Journal: JAMA neurology 2019;75(12):1528-1537

PMID: 30208379

Abstract

IMPORTANCE

Idiopathic inflammatory myopathies are heterogeneous in their pathophysiologic features and prognosis. The emergence of myositis-specific autoantibodies suggests that subgroups of patients exist.

OBJECTIVE

To develop a new classification scheme for idiopathic inflammatory myopathies based on phenotypic, biological, and immunologic criteria.

DESIGN, SETTING, AND PARTICIPANTS

An observational, retrospective cohort study was performed using a database of the French myositis network. Patients identified from referral centers for neuromuscular diseases were included from January 1, 2003, to February 1, 2016. Of 445 initial patients, 185 patients were excluded and 260 adult patients with myositis who had complete data and defined historical classifications for polymyositis, dermatomyositis, and inclusion body myositis were enrolled. All patients were tested for anti-histidyl-ARN-t- synthetase (Jo1), anti-threonine-ARN-t-synthetase (PL7), anti-alanine-ARN-t-synthetase (PL12), anti-complex nucleosome remodeling histone deacetylase (Mi2), anti-Ku, anti-polymyositis/systemic scleroderma (PMScl), anti-topoisomerase 1 (Scl70), and anti-signal recognition particle (SRP) antibodies. A total of 708 variables were collected per patient (eg, cancer, lung involvement, and myositis-specific antibodies).

MAIN OUTCOMES AND MEASURES

Unsupervised multiple correspondence analysis and hierarchical clustering analysis to aggregate patients in subgroups.

RESULTS

Among 260 participants (163 [62.7%] women; mean age, 59.7 years; median age [range], 61.5 years [48-71 years]), 4 clusters of patients emerged. Cluster 1 (n = 77) included patients who were male, white, and older than 60 years and had finger flexor and quadriceps weakness and findings of vacuolated fibers and mitochondrial abnormalities. Cluster 1 regrouped patients who had inclusion body myositis (72 of 77 patients [93.5%]; 95% CI, 85.5%-97.8%; P < .001). Cluster 2 (n = 91) regrouped patients who were women and had high creatine phosphokinase levels, necrosis without inflammation, and anti-SRP or anti-3-hydroxy-3-methylglutaryl-coenzyme A reductase (HMGCR) antibodies corresponding to immune-mediated necrotizing myopathy (53 of 91 [58.2%]; 95% CI, 47.4%-68.5%; P < .001). Cluster 3 (n = 52) regrouped patients who had dermatomyositis rash and anti-Mi2, anti-melanoma differentiation-associated protein 5 (MDA5), or anti-transcription intermediary factor-1γ (TIF1γ) antibodies, mainly corresponding with patients who had dermatomyositis (43 of 52 [82.7%]; 95% CI, 69.7%-91.8%; P < .001). Cluster 4 (n = 40) was defined by the presence of anti-Jo1 or anti-PL7 antibodies corresponding to antisynthetase syndrome (36 of 40 [90.0%]; 95% CI, 76.3%-97.2%; P < .001). The classification of an independent cohort (n = 50) confirmed the 4 clusters (Cohen κ light, 0.8; 95% CI, 0.6-0.9).

CONCLUSIONS AND RELEVANCE

These findings suggest a classification of idiopathic inflammatory myopathies with 4 subgroups: dermatomyositis, inclusion body myositis, immune-mediated necrotizing myopathy, and antisynthetase syndrome. This classification system suggests that a targeted clinical-serologic approach for identifying idiopathic inflammatory myopathies may be warranted.

Address: Centre de Recherche en Myologie, Unité Mixte de Recherche Scientifique 974, Université Pierre et Marie Curie, Institut National de la Santé et de la Recherche Médicale, Paris, France.; Département de Médecine Interne et Immunologie Clinique, Centre de Référence Maladies Neuro-Musculaires, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière, DHUi2B, Paris, France.; Département de Biostatistiques, Santé Publique et Information Médicale, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière, Paris, France.; Institut Pierre Louis d'Epidémiologie et de Santé Publique, Université Pierre et Marie Curie-Paris 6, Sorbonne Universités, Groupe de Recherche Clinique-08, Epidémiologie et Evaluation des Maladies Ostéoarticulaires Inflammatoires et Systémiques, Paris, France.; Centre de Recherche en Myologie, Unité Mixte de Recherche Scientifique 974, Université Pierre et Marie Curie, Institut National de la Santé et de la Recherche Médicale, Paris, France.; Sorbonne Universités, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Université Pierre et Marie Curie-Paris 6, Unité Mixte de Recherche Scientifique 1136, Paris, France.; Service de Médecine Interne, Centre Hospitalier Universitaire, Lille, France.; Service de Médecine Interne, Hôpital Belle-Isle, Metz, France.; Département de Physiologie, Centre Hospitalier Universitaire de Strasbourg, Strasbourg, France.; Service de Médecine Interne, Centre Hospitalier Universitaire Hôtel Dieu De France, Beirut, Lebanon.; Laboratoire Immunochimie, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière, Paris, France.
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