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Characteristics of and risk factors for COVID-19 breakthrough infections in idiopathic inflammatory myopathies: Results from the COVAD study

  • COVAD Study Group
    ,
  • Leonardo Santos Hoff(Author)
    ,
  • Naveen Ravichandran(Author)
    ,
  • Parikshit Sen(Author)
    ,
  • Jessica Day(Author)
    ,
  • Mrudula Joshi(Author)
  • Universidade Potiguar
    ,
  • Sanjay Gandhi Postgraduate Institute of Medical Sciences Lucknow
    ,
  • Maulana Azad Medical College
    ,
  • University of Melbourne
    ,
  • Royal Melbourne Hospital
    ,
  • Walter and Eliza Hall Institute of Medical Research
Research Output:
Contribution to journal
Article
Peer-review

Open access

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 597-606 (10 pages)

Journal (Volume, Issue Number)

Rheumatology (United Kingdom) (Volume 64, Issue 2)

Publication milestones

  • Published - 01/02/2025

Publication status

Published - 01/02/2025

ISSN

1462-0324

Publication IDs

  • Scopus: 85217518077
  • PubMed: 38430474

Abstract

Objectives: The objective of this study was to explore the prevalence, characteristics and risk factors of COVID-19 breakthrough infections (BIs) in idiopathic inflammatory myopathies (IIMs) using data from the COVID-19 Vaccination in Autoimmune Diseases (COVAD) study. Methods: A validated patient self-reporting e-survey was circulated by the COVAD study group to collect data on COVID-19 infection and vaccination in 2022. BIs were defined as COVID-19 occurring ≥14 days after two vaccine doses. We compared BI characteristics and severity among patients with IIMs, patients with other autoimmune rheumatic and non-rheumatic diseases (AIRD, nrAID), and healthy controls (HCs). Multivariable Cox regression models were used to assess the risk factors for BI, severe BI, and hospitalizations among patients with IIMs. Results: Among the 9449 included responses, BIs occurred in 1447 respondents (15.3%). The median age was 44 years [interquartile range (IQR) 21], 77.4% were female, and 182 BIs (12.9%) occurred among the 1406 patients with IIMs. Multivariable Cox regression among the data for patients with IIMs showed increasing age to be a protective factor for BIs [hazard ratio (HR) = 0.98, 95% CI = 0.97-0.99], and HCQ and SSZ use were risk factors (HR = 1.81, 95% CI = 1.24-2.64, and HR = 3.79, 95% CI = 1.69-8.42, respectively). Glucocorticoid use was a risk factor for a severe BI (HR = 3.61, 95% CI = 1.09-11.8). Non-white ethnicity (HR = 2.61, 95% CI = 1.03-6.59) was a risk factor for hospitalization. Compared with other groups, patients with IIMs required more supplemental oxygen therapy (IIMs = 6.0% vs AIRDs = 1.8%, nrAIDs = 2.2% and HCs = 0.9%), intensive care unit admission (IIMs = 2.2% vs AIRDs = 0.6%, nrAIDs and HCs = 0%), advanced treatment with antiviral or monoclonal antibodies (IIMs = 34.1% vs AIRDs = 25.8%, nrAIDs = 14.6% and HCs = 12.8%) and had more hospitalization (IIMs = 7.7% vs AIRDs = 4.6%, nrAIDs = 1.1% and HCs = 1.5%). Conclusion: Patients with IIMs are susceptible to severe COVID-19 BIs. Age and immunosuppressive treatments were related to the risk of BIs.

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    SDG 3 Good Health and Well