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
  • , Naveen Ravichandran
  • , Parikshit Sen
  • , Jessica Day
  • , Mrudula Joshi
  • , Arvind Nune
  • , Elena Nikiphorou
  • , Sreoshy Saha
  • , Ai Lyn Tan
  • , Samuel Katsuyuki Shinjo
  • , Nelly Ziade
  • , Tsvetelina Velikova
  • , Marcin Milchert
  • , Kshitij Jagtap
  • , Ioannis Parodis
  • , Abraham Edgar Gracia-Ramos
  • , Lorenzo Cavagna
  • , Masataka Kuwana
  • , Johannes Knitza
  • Yi Ming Chen, Ashima Makol, Vishwesh Agarwal, Aarat Patel, John D Pauling, Chris Wincup, Bhupen Barman, Erick Adrian Zamora Tehozol, Jorge Rojas Serrano, Ignacio García-De La Torre, Iris J Colunga-Pedraza, Javier Merayo-Chalico, Okwara Celestine Chibuzo, Wanruchada Katchamart, Phonpen Akarawatcharangura Goo, Russka Shumnalieva, Lina El Kibbi, Hussein Halabi, Binit Vaidya, Syahrul Sazliyana Shaharir, A T M Tanveer Hasan, Dzifa Dey, Carlos Enrique Toro Gutiérrez, Carlo V Caballero-Uribe, James B Lilleker, Babur Salim, Tamer Gheita, Tulika Chatterjee, Oliver Distler, Miguel A Saavedra, Hector Chinoy, Vikas Agarwal, Rohit Aggarwal, Latika Gupta*
*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)597-606
Number of pages10
JournalRheumatology (Oxford, England)
Volume64
Issue number2
Early online date2 Mar 2024
DOIs
Publication statusPublished - Feb 2025

Bibliographical note

© The Author(s) 2024. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For permissions, please email: [email protected].

Keywords

  • Humans
  • Female
  • Male
  • COVID-19/epidemiology
  • Myositis/epidemiology
  • Adult
  • Risk Factors
  • Middle Aged
  • SARS-CoV-2
  • COVID-19 Vaccines
  • Hospitalization/statistics & numerical data
  • Prevalence
  • Severity of Illness Index

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