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