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. 2023 Apr 7;270(6):2817–2825. doi: 10.1007/s00415-023-11692-4

Table 2.

Multivariable logistic regression modelling for COVID-19 infection

Variable Multivariable logistic regression (outcome: infection)
Event vs. reference level Odds ratio (95% CI) p value Omnibus
p value
Female Female vs. male 2.549 (0.641–10.13) 0.184
Immunotherapy group 0.253
 Anti-CD20s, S1PRMs Anti-CD20s, S1PRMs vs. Nil 1.840 (0.748–4.527) 0.193
 DMARDs DMARDs vs. Nil 0.611 (0.207–1.805) 0.065
 IRTs IRTs vs. Nil 1.688 (0.505–5.639) 0.489
 Other DMTs Other DMTs vs. Nil 1.561 (0.466–5.226) 0.604
Non-receipt of V3 Not received vs. received 4.377 (1.742–11.00) 0.002

Overall model p value = 0.0007. Model performance was assessed via Hosmer and Lemeshow goodness-of-fit test (p value = 0.949)

Anti-CD20s anti-CD20 therapies, DMARDs disease-modifying anti-rheumatic drugs, DMTs disease-modifying therapies, IRTs immune reconstitution therapies, S1PRMs sphingosine-1-phosphate receptor modulators, V3 third mRNA vaccination