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Cluster analysis of clinical phenotypes in idiopathic inflammatory myopathy patients complicated with cardiac involvement

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Abstract

Objective

This study aimed to classify idiopathic inflammatory myopathy (IIM) patients with cardiac involvement (IIM-CI) into different categories based on their clinical phenotypes via cluster analysis and to explore their differences in outcomes.

Methods

IIM-CI patients admitted to Peking Union Medical College Hospital from January 2015 to June 2021 were retrieved. The clinical data, laboratory examinations, and treatment were retrospectively reviewed, and the outcome was traced. A second-order clustering method was employed for categorization.

Results

A total of 88 IIM-CI patients were enrolled in this study and were classified into two categories through cluster analysis. Category I consisted of patients who exhibited distinct cardiac structural and functional changes, such as enlargement of atriums and/or ventricles, along with the remarkable heart insufficiency biomarkers, whereas patients of category II displayed more widely systemic injuries and intensive skeletal muscle weakness. In comparison, pulmonary hypertension (58.8% vs 16.7%, p < 0.01), arrhythmia (82.4% vs 27.8%, p < 0.01), and positive serum anti-mitochondrial-M2 antibody (52.9% vs 5.6%, p < 0.01) were more prevalent in category I than in category II, and serum N-terminal pro-B-type natriuretic peptide levels (1703.5 pg/L vs 364.0 pg/L, p = 0.02) were significantly elevated in category I, whereas skeletal muscle weakness (50.0% vs 74.1%, p = 0.02), interstitial lung disease (20.6% vs 63.0%, p < 0.01), skin rash (11.8% vs 48.1%, p < 0.01), arthralgia (2.9% vs 27.8%, p < 0.01), fever (2.9% vs 27.8%, p < 0.01), and dysphagia (2.9% vs 22.2%, p < 0.01) were more common in category II patients. Heart failure was the primary cause of death in category I, but severe pneumonia was predominantly responsible for deaths in category II.

Conclusion

Two categories of IIM-CI were identified based on clinical features with distinctive characteristics. Two categories exhibited differences in clinical manifestations, autoantibody profiles, and the primary cause of death.

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Data availability

Data are available upon reasonable request by any qualified researchers who engage in rigorous, independent scientific research, and will be provided following review and approval of a research proposal and Statistical Analysis Plan (SAP) and execution of a Data Sharing Agreement (DSA). All data relevant to the study are included in the article.

References

  1. Lundberg IE, de Visser M, Werth VP (2018) Classification of myositis. Nat Rev Rheumatol 14:269–278

    Article  PubMed  Google Scholar 

  2. Fer F, Allenbach Y (2021) Benveniste O [Myositis: from classification to diagnosis]. Rev Med Interne 42:392–400

    Article  CAS  PubMed  Google Scholar 

  3. Cardelli C, Zanframundo G, Cometi L et al (2022) Idiopathic inflammatory myopathies: one year in review 2021. Clin Exp Rheumatol 40:199–209

    Article  PubMed  Google Scholar 

  4. Ernste FC, Reed AM (2013) Idiopathic inflammatory myopathies: current trends in pathogenesis, clinical features, and up-to-date treatment recommendations. Mayo Clin Proc 88:83–105

    Article  PubMed  Google Scholar 

  5. Mariampillai K, Granger B, Amelin D et al (2018) Development of a new classification system for idiopathic inflammatory myopathies based on clinical manifestations and myositis-specific autoantibodies. JAMA Neurol 75:1528–1537

    Article  PubMed  PubMed Central  Google Scholar 

  6. Oppenheim H (1899) Zur dermatomyositis. Berl Klin Wochenschr, 36:805–807

  7. Lilleker JB, Vencovsky J, Wang G et al (2018) The EuroMyositis registry: an international collaborative tool to facilitate myositis research. Ann Rheum Dis 77:30–39

    Article  PubMed  Google Scholar 

  8. Zhang L, Wang G, Ma L et al (2012) Cardiac involvement in adult polymyositis or dermatomyositis: a systematic review. Clin Cardiol 35:686–691

    CAS  PubMed  Google Scholar 

  9. Diederichsen LP (2017) Cardiovascular involvement in myositis. Curr Opin Rheumatol 29:598–603

    Article  PubMed  Google Scholar 

  10. Schwartz T, Diederichsen LP, Lundberg IE et al (2016) Cardiac involvement in adult and juvenile idiopathic inflammatory myopathies. RMD Open 2:e000291

    Article  PubMed  PubMed Central  Google Scholar 

  11. Lundberg IE, Tjärnlund A, Bottai M et al (2017) 2017 European League Against Rheumatism/American College of Rheumatology classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups. Ann Rheum Dis 76:1955–1964

    Article  PubMed  Google Scholar 

  12. Huang Y, Liu H, Wu C et al (2021) Ventricular arrhythmia predicts poor outcome in polymyositis/dermatomyositis with myocardial involvement. Rheumatology (Oxford) 60:3809–3816

    Article  CAS  PubMed  Google Scholar 

  13. Baek Y-S, Kim T-H, Uhm J-S et al (2016) Prevalence and the clinical outcome of atrial fibrillation in patients with Autoimmune Rheumatic Disease. Int J Cardiol 214:4–9

    Article  PubMed  Google Scholar 

  14. Plastiras SC, Moutsopoulos HM (2021) Arrhythmias and conduction disturbances in autoimmune rheumatic disorders. Arrhythm Electrophysiol Rev 10:17–25

    Article  PubMed  PubMed Central  Google Scholar 

  15. Lazzerini PE, Capecchi PL, Laghi-Pasini F (2017) Systemic inflammation and arrhythmic risk: lessons from rheumatoid arthritis. Eur Heart J 38:1717–1727

    CAS  PubMed  Google Scholar 

  16. Peretto G, Sala S, Rizzo S et al (2020) Ventricular arrhythmias in myocarditis: characterization and relationships with myocardial inflammation. J Am Coll Cardiol 75:1046–1057

    Article  PubMed  Google Scholar 

  17. Haissaguerre M, Vigmond E, Stuyvers B et al (2016) Ventricular arrhythmias and the His-Purkinje system. Nat Rev Cardiol 13:155–166

    Article  PubMed  Google Scholar 

  18. Suzuki S, Nishikawa A, Kuwana M et al (2015) Inflammatory myopathy with anti-signal recognition particle antibodies: case series of 100 patients. Orphanet J Rare Dis 10:61

    Article  PubMed  PubMed Central  Google Scholar 

  19. Maeda MH, Tsuji S, Shimizu J (2012) Inflammatory myopathies associated with anti-mitochondrial antibodies. Brain 135:1767–1777

    Article  PubMed  Google Scholar 

  20. Albayda J, Khan A, Casciola-Rosen L et al (2018) Inflammatory myopathy associated with anti-mitochondrial antibodies: a distinct phenotype with cardiac involvement. Semin Arthritis Rheum 47:552–556

    Article  CAS  PubMed  Google Scholar 

  21. Fujisaki S, Tsuchida K, Sekiya Y et al (2022) A case of chronic heart failure complicated by primary biliary cholangitis and skeletal myopathy. Int Heart J 63:963–969

    Article  PubMed  Google Scholar 

  22. Nagai A, Nagai T, Yaguchi H et al (2022) Clinical features of anti-mitochondrial M2 antibody-positive myositis: case series of 17 patients. J Neurol Sci 442:120391

    Article  CAS  PubMed  Google Scholar 

  23. Zhang L, Zhu H, Yang P et al (2021) Myocardial involvement in idiopathic inflammatory myopathies: a multi-center cross-sectional study in the CRDC-MYO Registry. Clin Rheumatol 40:4597–4608

    Article  PubMed  Google Scholar 

  24. Marie I (2012) Morbidity and mortality in adult polymyositis and dermatomyositis. Curr Rheumatol Rep 14:275–285

    Article  CAS  PubMed  Google Scholar 

  25. Rai SK, Choi HK, Sayre EC et al (2016) Risk of myocardial infarction and ischaemic stroke in adults with polymyositis and dermatomyositis: a general population-based study. Rheumatology (Oxford) 55:461–469

    PubMed  Google Scholar 

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Acknowledgements

We wish to acknowledge all the patients who participated in our study and our cardiologist colleagues for their participation.

Funding

This research was supported by the National Natural Sciences Foundation of China (82071840, 82271856), CAMS Innovation Fund for Medical Sciences (CIFMS) (2020-I2M-C&T-B-013), and National High Level Hospital Clinical Research Funding (2022-PUMCH-C-037, 2022-PUMCH-A-108).

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Contributions

Conception: L.Z.; methodology: L.Z., J.D., H.X., X.M.; data curation: H.X., X.M., J.D., J.Z.; analysis: X.M., J.D., H.X., J.Y.; interpretation and writing: H.X., X.M., J.D.; supervision: J.Z., H.Y., L.Z. All authors were involved in drafting this paper or revising it critically for key intellectual content, and all authors approved this version to be published. Dr. J.Z. and Dr. L.Z. had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

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Correspondence to Jiaxin Zhou or Lidan Zhao.

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During the preparation of this work, the author(s) used ChatGPT 4.0 in order to polish the language of this article. After using this tool, the authors reviewed and edited the content as needed and take full responsibility for the content of the publication.

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Dong, J., Meng, X., Xu, H. et al. Cluster analysis of clinical phenotypes in idiopathic inflammatory myopathy patients complicated with cardiac involvement. Clin Rheumatol (2024). https://doi.org/10.1007/s10067-024-06986-5

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  • DOI: https://doi.org/10.1007/s10067-024-06986-5

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